Remote physical activity monitoring in neurological disease: A systematic review

PLoS ONE

Volumn 11, Issue 4, 2016, Pages

  Block, Valerie A J ^a   Pitsch, Erica ^a   Tahir, Peggy ^a   Cree, Bruce A C ^a   Allen, Diane D ^a   Gelfand, Jeffrey M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY MONITORING; ATAXIA; CEREBROVASCULAR ACCIDENT; DEMENTIA; EXERCISE; HUMAN; MULTIPLE SCLEROSIS; NEUROLOGIC DISEASE; PARKINSON DISEASE; PATHOPHYSIOLOGY; PROCEDURES; QUALITY OF LIFE; REPRODUCIBILITY; TELEREHABILITATION; TRAUMATIC BRAIN INJURY; WALKING;

ATAXIA; BRAIN INJURIES, TRAUMATIC; DEMENTIA; EXERCISE; HUMANS; MONITORING, AMBULATORY; MULTIPLE SCLEROSIS; NERVOUS SYSTEM DISEASES; PARKINSON DISEASE; QUALITY OF LIFE; REPRODUCIBILITY OF RESULTS; STROKE; TELEREHABILITATION; WALKING;

EID: 85016126475     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0154335     Document Type: Review

References (169)

1. Trost SG, Tudor-Locke C. Advances in the science of objective physical activity monitoring: 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement. British journal of sports medicine. 2014; 48(13):1009–10. Epub 2014/06/13. doi: 10.1136/bjsports-2014-093865 PMID: 24920565.
2. Motl RW, Sandroff BM, Sosnoff JJ. Commercially available accelerometry as an ecologically valid measure of ambulation in individuals with multiple sclerosis. Expert review of neurotherapeutics. 2012; 12(9):1079–88. Epub 2012/10/09. doi: 10.1586/ern.12.74 PMID: 23039387.
3. Van Remoortel H, Giavedoni S, Raste Y, Burtin C, Louvaris Z, Gimeno-Santos E, et al. Validity of activity monitors in health and chronic disease: a systematic review. The international journal of behavioral nutrition and physical activity. 2012; 9:84. Epub 2012/07/11. doi: 10.1186/1479-5868-9-84 PMID: 22776399; PubMed Central PMCID: PMCPmc3464146.
4. Stansfield B, Clemes S, John D, Meijer K, Melanson E, Rowlands A, et al. 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (University of Massachusetts, Amherst, USA, June 17–19, 2013). Physiological measurement. 2014; 35(11):E2179–81. Epub 2014/ 10/24. doi: 10.1088/0967-3334/35/11/2179 PMID: 25340758.
5. Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, et al. Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013; 128(20):2259–79. Epub 2013/10/16. doi: 10.1161/01.cir. 0000435708.67487.da PMID: 24126387.
6. Wang S, Luo X, Barnes D, Sano M, Yaffe K. Physical activity and risk of cognitive impairment among oldest-old women. The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry. 2014; 22(11):1149–57. Epub 2013/07/09. doi: 10.1016/j.jagp.2013.03. 002 PMID: 23831179; PubMed Central PMCID: PMCPmc3864545.
7. Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. Jama. 2015; 313(5):459–60. Epub 2015/01/09. doi: 10.1001/jama.2014.14781 PMID: 25569175.
8. Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. Jama. 2015; 313(6):625–6. Epub 2015/02/11. doi: 10.1001/ jama.2014.17841 PMID: 25668268.
9. Group S. Documenting how dementia sufferers benefit from GPS. Medical News Today [Internet]. 2015.
10. Garber M. The Ennui of the Fitbit. The Atlantic [Internet]. June 17 2015.
11. World Health Organization. Global recommendations on physical activity for health. Geneva, Switzerland: WHO; 2010.
12. Plow M, Finlayson M, Motl RW, Bethoux F. Randomized controlled trial of a teleconference fatigue management plus physical activity intervention in adults with multiple sclerosis: rationale and research protocol. BMC neurology. 2012; 12:122. Epub 2012/10/18. doi: 10.1186/1471-2377-12-122 PMID: 23072517; PubMed Central PMCID: PMCPmc3495833.
13. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, PT K. Physical Activity Series Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012; 380:219–29.
14. Marrie RA, Horwitz RI. Emerging effects of comorbidities on multiple sclerosis. The Lancet Neurology. 2010; 9(8):820–8. Epub 2010/07/24. doi: 10.1016/s1474-4422(10)70135-6 PMID: 20650403.
15. Butler EN, Evenson KR. Prevalence of physical activity and sedentary behavior among stroke survivors in the United States. Topics in stroke rehabilitation. 2014; 21(3):246–55. Epub 2014/07/06. doi: 10.1310/tsr2103-246 PMID: 24985392; PubMed Central PMCID: PMCPmc4146341.
16. Zhu XC, Yu Y, Wang HF, Jiang T, Cao L, Wang C, et al. Physiotherapy intervention in Alzheimer's disease: systematic review and meta-analysis. Journal of Alzheimer's disease: JAD. 2015; 44(1):163–74. Epub 2014/09/10. doi: 10.3233/jad-141377 PMID: 25201787.
17. van Nimwegen M, Speelman AD, Hofman-van Rossum EJ, Overeem S, Deeg DJ, Borm GF, et al. Physical inactivity in Parkinson's disease. Journal of neurology. 2011; 258(12):2214–21. Epub 2011/ 05/27. doi: 10.1007/s00415-011-6097-7 PMID: 21614433; PubMed Central PMCID: PMCPmc3225631.
18. Thelle DS. Assessment of physical activity and energy expenditure in epidemiological studies. European journal of epidemiology. 2007; 22(6):351–2. Epub 2007/06/27. doi: 10.1007/s10654-007-9151-0 PMID: 17593528.
19. Pedisic Z, Bauman A. Accelerometer-based measures in physical activity surveillance: current practices and issues. British journal of sports medicine. 2015; 49(4):219–23. Epub 2014/11/06. doi: 10. 1136/bjsports-2013-093407 PMID: 25370153.
20. Allet L, Knols RH, Shirato K, de Bruin ED. Wearable systems for monitoring mobility-related activities in chronic disease: a systematic review. Sensors (Basel, Switzerland). 2010; 10(10):9026–52. Epub 2010/01/01. doi: 10.3390/s101009026 PMID: 22163393; PubMed Central PMCID: PMCPMC3230979.
21. Cochrane Handbook for Systematic Reviews of Interventions. http://www.cochrane-handbook.org.: The Cochrane Collaboration; 2011.
22. Moher D, Liberati A, Tetzlaff J, Altman D. The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. BMJ. 2009; 339(b):2535.
23. Balantrapu S, Sosnoff JJ, Pula JH, Sandroff BM, Motl RW. Leg spasticity and ambulation in multiple sclerosis. Multiple sclerosis international. 2014; 2014:649390. Epub 2014/07/08. doi: 10.1155/2014/ 649390 PMID: 24999434; PubMed Central PMCID: PMCPmc4066854.
24. Cavanaugh JT, Gappmaier VO, Dibble LE, Gappmaier E. Ambulatory activity in individuals with multiple sclerosis. Journal of neurologic physical therapy: JNPT. 2011; 35(1):26–33. Epub 2011/04/09. PMID: 21475081.
25. Dlugonski D, Motl RW. Possible antecedents and consequences of self-esteem in persons with multiple sclerosis: preliminary evidence from a cross-sectional analysis. Rehabil Psychol. 2012; 57(1):35–42. Epub 2012/03/01. doi: 10.1037/a0027176 PMID: 22369115.
26. Dlugonski D, Motl RW, McAuley E. Increasing physical activity in multiple sclerosis: replicating Internet intervention effects using objective and self-report outcomes. Journal of rehabilitation research and development. 2011; 48(9):1129–36. Epub 2012/01/12. PMID: 22234717.
27. Dlugonski D, Pilutti LA, Sandroff BM, Suh Y, Balantrapu S, Motl RW. Steps per day among persons with multiple sclerosis: variation by demographic, clinical, and device characteristics. Arch Phys Med Rehabil. 2013; 94(8):1534–9. Epub 2013/02/20. doi: 10.1016/j.apmr.2012.12.014 PMID: 23419331.
28. Doerksen SE, Motl RW, McAuley E. Environmental correlates of physical activity in multiple sclerosis: a cross-sectional study. The international journal of behavioral nutrition and physical activity. 2007; 4:49. Epub 2007/10/10. doi: 10.1186/1479-5868-4-49 PMID: 17922918; PubMed Central PMCID: PMCPmc2174510.
29. Filipovic Grcic P, Matijaca M, Bilic I, Dzamonja G, Lusic I, Caljkusic K, et al. Correlation analysis of visual analogue scale and measures of walking ability in multiple sclerosis patients. Acta neurologica Belgica. 2013; 113(4):397–402. Epub 2013/03/16. doi: 10.1007/s13760-013-0187-5 PMID: 23494833.
30. Filipovic Grcic P, Matijaca M, Lusic I, Capkun V. Responsiveness of walking-based outcome measures after multiple sclerosis relapses following steroid pulses. Medical science monitor: international medical journal of experimental and clinical research. 2011; 17(12):Cr704–10. Epub 2011/12/02. PMID: 22129902; PubMed Central PMCID: PMCPmc3628135.
31. Gijbels D, Alders G, Van Hoof E, Charlier C, Roelants M, Broekmans T, et al. Predicting habitual walking performance in multiple sclerosis: relevance of capacity and self-report measures. Multiple sclerosis (Houndmills, Basingstoke, England). 2010; 16(5):618–26. Epub 2010/03/09. doi: 10.1177/ 1352458510361357 PMID: 20207785.
32. Gosney JL, Scott JA, Snook EM, Motl RW. Physical activity and multiple sclerosis: validity of self-report and objective measures. Family & community health. 2007; 30(2):144–50. Epub 2007/04/01. PMID: 19241650.
33. Hale LA, Pal J, Becker I. Measuring free-living physical activity in adults with and without neurologic dysfunction with a triaxial accelerometer. Arch Phys Med Rehabil. 2008; 89(9):1765–71. Epub 2008/ 09/02. doi: 10.1016/j.apmr.2008.02.027 PMID: 18760161.
34. Klaren RE, Motl RW, Dlugonski D, Sandroff BM, Pilutti LA. Objectively quantified physical activity in persons with multiple sclerosis. Arch Phys Med Rehabil. 2013; 94(12):2342–8. Epub 2013/08/03. doi: 10.1016/j.apmr.2013.07.011 PMID: 23906692.
35. Klassen L, Schachter C, Scudds R. An exploratory study of two measures of free-living physical activity for people with multiple sclerosis. Clin Rehabil. 2008; 22(3):260–71. Epub 2008/02/21. doi: 10. 1177/0269215507082740 PMID: 18285434.
36. Kos D, Nagels G, D'Hooghe MB, Duquet W, Ilsbroukx S, Delbeke S, et al. Measuring activity patterns using actigraphy in multiple sclerosis. Chronobiology International. 2007; 24(2):345–56. doi: 10.1080/ 07420520701282364 WOS:000246297100010. PMID: 17453852
37. Learmonth YC, Dlugonski DD, Pilutti LA, Sandroff BM, Motl RW. The reliability, precision and clinically meaningful change of walking assessments in multiple sclerosis. Multiple sclerosis (Houndmills, Basingstoke, England). 2013; 19(13):1784–91. Epub 2013/04/17. doi: 10.1177/1352458513483890 PMID: 23587605.
38. Learmonth YC, Motl RW, Sandroff BM, Pula JH, Cadavid D. Validation of patient determined disease steps (PDDS) scale scores in persons with multiple sclerosis. BMC neurology. 2013; 13:37. Epub 2013/04/27. doi: 10.1186/1471-2377-13-37 PMID: 23617555; PubMed Central PMCID: PMCPmc3651716.
39. Morris KS, McAuley E, Motl RW. Self-efficacy and environmental correlates of physical activity among older women and women with multiple sclerosis. Health Education Research. 2008; 23(4):744–52. doi: 10.1093/her/cym067 WOS:000257576700015. PMID: 17962232
40. Motl RW, McAuley E, Sandroff BM. Longitudinal change in physical activity and its correlates in relapsing-remitting multiple sclerosis. Phys Ther. 2013; 93(8):1037–48. Epub 2013 Apr 18. doi: 10. 2522/ptj.20120479 PMID: 23599354
41. Motl RW, Snook EM, McAuley E, Scott SM, Gliottoni RC. Are Physical Activity and Symptoms Correlates of Functional Limitations and Disability in Multiple Sclerosis? Rehabil Psychol. 2007; 52(4):463–9. doi: 10.1037/0090-5550.52.4.463
42. Motl RW, Dlugonski D. Increasing physical activity in multiple sclerosis using a behavioral intervention. Behavioral medicine (Washington, DC). 2011; 37(4):125–31. Epub 2011/12/16. doi: 10.1080/ 08964289.2011.636769 PMID: 22168329.
43. Motl RW, Dlugonski D, Suh Y, Weikert M, Fernhall B, Goldman M. Accelerometry and its association with objective markers of walking limitations in ambulatory adults with multiple sclerosis. Arch Phys Med Rehabil. 2010; 91(12):1942–7. Epub 2010/11/30. doi: 10.1016/j.apmr.2010.08.011 PMID: 21112438; PubMed Central PMCID: PMCPmc3165019.
44. Motl RW, Fernhall B, McAuley E, Cutter G. Physical activity and self-reported cardiovascular comorbidities in persons with multiple sclerosis: evidence from a cross-sectional analysis. Neuroepidemiology. 2011; 36(3):183–91. Epub 2011/05/21. doi: 10.1159/000327749 PMID: 21597305; PubMed Central PMCID: PMCPmc3214895.
45. Motl RW, Gappmaier E, Nelson K, Benedict RH. Physical activity and cognitive function in multiple sclerosis. Journal of sport & exercise psychology. 2011; 33(5):734–41. Epub 2011/10/11. PMID: 21984644.
46. Motl RW, Learmonth YC, Pilutti LA, Dlugonski D, Klaren R. Validity of minimal clinically important difference values for the multiple sclerosis walking scale-12? European neurology. 2014; 71(3–4):196–202. Epub 2014/01/25. doi: 10.1159/000356116 PMID: 24457548.
47. Motl RW, McAuley E. Longitudinal analysis of physical activity and symptoms as predictors of change in functional limitations and disability in multiple sclerosis. Rehabil Psychol. 2009; 54(2):204–10. Epub 2009/05/28. doi: 10.1037/a0015770 PMID: 19469611.
48. Motl RW, McAuley E. Symptom cluster as a predictor of physical activity in multiple sclerosis: preliminary evidence. Journal of pain and symptom management. 2009; 38(2):270–80. Epub 2009/03/31. doi: 10.1016/j.jpainsymman.2008.08.004 PMID: 19329276.
49. Motl RW, McAuley E. Pathways between physical activity and quality of life in adults with multiple sclerosis. Health Psychol. 2009; 28(6):682–9. Epub 2009/11/18. doi: 10.1037/a0015985 PMID: 19916636.
50. Motl RW, McAuley E. Association between change in physical activity and short-term disability progression in multiple sclerosis. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine. 2011; 43(4):305–10. Epub 2011/02/10. doi: 10.2340/ 16501977-0782 PMID: 21305247.
51. Motl RW, McAuley E, Dlugonski D. Reactivity in baseline accelerometer data from a physical activity behavioral intervention. Health Psychol. 2012; 31(2):172–5. Epub 2011/10/26. doi: 10.1037/ a0025965 PMID: 22023436.
52. Motl RW, McAuley E, Klaren R. Reliability of physical-activity measures over six months in adults with multiple sclerosis: implications for designing behavioral interventions. Behavioral medicine (Washington, DC). 2014; 40(1):29–33. Epub 2014/02/12. doi: 10.1080/08964289.2013.821966 PMID: 24512363.
53. Motl RW, McAuley E, Snook EM. Physical activity and quality of life in multiple sclerosis: Possible roles of social support, self-efficacy, and functional limitations. Rehabil Psychol. 2007; 52(2):143–51. doi: 10.1037/0090-5550.52.2.143 WOS:000246433900003.
54. Motl RW, McAuley E, Snook EM, Gliottoni RC. Does the relationship between physical activity and quality of life differ based on generic versus disease-targeted instruments? Annals of behavioral medicine: a publication of the Society of Behavioral Medicine. 2008; 36(1):93–9. Epub 2008/08/23. doi: 10. 1007/s12160-008-9049-4 PMID: 18719976; PubMed Central PMCID: PMCPmc2893359.
55. Motl RW, McAuley E, Snook EM, Gliottoni RC. Physical activity and quality of life in multiple sclerosis: intermediary roles of disability, fatigue, mood, pain, self-efficacy and social support. Psychology, health & medicine. 2009; 14(1):111–24. Epub 2008/12/17. doi: 10.1080/13548500802241902 PMID: 19085318; PubMed Central PMCID: PMCPmc2893350.
56. Motl RW, McAuley E, Snook EM, Scott JA. Validity of physical activity measures in ambulatory individuals with multiple sclerosis. Disability and rehabilitation. 2006; 28(18):1151–6. Epub 2006/09/13. doi: 10.1080/09638280600551476 PMID: 16966236.
57. Motl RW, McAuley E, Wynn D, Suh Y, Weikert M, Dlugonski D. Symptoms and physical activity among adults with relapsing-remitting multiple sclerosis. The Journal of nervous and mental disease. 2010; 198(3):213–9. Epub 2010/03/11. PMID: 20215999.
58. Motl RW, Pilutti L, Sandroff BM, Dlugonski D, Sosnoff JJ, Pula JH. Accelerometry as a measure of walking behavior in multiple sclerosis. Acta neurologica Scandinavica. 2013; 127(6):384–90. Epub 2012/12/18. doi: 10.1111/ane.12036 PMID: 23240822.
59. Motl RW, Pilutti LA, Learmonth YC, Goldman MD, Brown T. Clinical importance of steps taken per day among persons with multiple sclerosis. PloS one. 2013; 8(9):e73247. Epub 2013/09/12. doi: 10.1371/ journal.pone.0073247 PMID: 24023843; PubMed Central PMCID: PMCPmc3762863.
60. Motl RW, Sandroff BM, Suh Y, Sosnoff JJ. Energy cost of walking and its association with gait parameters, daily activity, and fatigue in persons with mild multiple sclerosis. Neurorehabilitation and neural repair. 2012; 26(8):1015–21. Epub 2012/04/03. doi: 10.1177/1545968312437943 PMID: 22466791.
61. Motl RW, Schwartz CE, Vollmer T. Continued validation of the Symptom Inventory in multiple sclerosis. Journal of the neurological sciences. 2009; 285(1–2):134–6. Epub 2009/07/14. doi: 10.1016/j.jns. 2009.06.015 PMID: 19592041.
62. Motl RW, Snook EM, McAuley E, Gliottoni RC. Symptoms, self-efficacy, and physical activity among individuals with multiple sclerosis. Research in Nursing & Health. 2006; 29(6):597–606. doi: 10.1002/ nur.20161 WOS:000242523800010.
63. Motl RW, Snook EM, McAuley E, Scott JA, Douglass ML. Correlates of physical activity among individuals with multiple sclerosis. Annals of behavioral medicine: a publication of the Society of Behavioral Medicine. 2006; 32(2):154–61. Epub 2006/09/16. doi: 10.1207/s15324796abm3202_13 PMID: 16972813.
64. Motl RW, Snook EM, McAuley E, Scott JA, Hinkle ML. Demographic correlates of physical activity in individuals with multiple sclerosis. Disability and rehabilitation. 2007; 29(16):1301–4. Epub 2007/07/ 27. doi: 10.1080/09638280601055873 PMID: 17654005.
65. Motl RW, Snook EM, Wynn DR, Vollmer T. Physical activity correlates with neurological impairment and disability in multiple sclerosis. The Journal of nervous and mental disease. 2008; 196(6):492–5. Epub 2008/06/17. PMID: 18552627.
66. Motl RW, Zhu W, Park Y, McAuley E, Scott JA, Snook EM. Reliability of scores from physical activity monitors in adults with multiple sclerosis. Adapted physical activity quarterly: APAQ. 2007; 24 (3):245–53. Epub 2007/10/06. PMID: 17916920.
67. Pilutti LA, Dlugonski D, Pula JH, Motl RW. Weight status in persons with multiple sclerosis: implications for mobility outcomes. Journal of obesity. 2012; 2012:868256. Epub 2012/10/11. doi: 10.1155/ 2012/868256 PMID: 23050129; PubMed Central PMCID: PMCPmc3463173.
68. Pilutti LA, Dlugonski D, Sandroff BM, Klaren R, Motl RW. Randomized controlled trial of a behavioral intervention targeting symptoms and physical activity in multiple sclerosis. Mult Scler J. 2014; 20 (5):594–601. doi: 10.1177/1352458513503391 WOS:000333690400013.
69. Ranadive SM, Yan H, Weikert M, Lane AD, Linden MA, Baynard T, et al. Vascular dysfunction and physical activity in multiple sclerosis. Medicine and science in sports and exercise. 2012; 44(2):238–43. Epub 2011/07/22. PMID: 21775908.
70. Rietberg MB, van Wegen EE, Kollen BJ, Kwakkel G. Do Patients With Multiple Sclerosis Show Different Daily Physical Activity Patterns From Healthy Individuals? Neurorehabilitation and neural repair. 2014; 28(6):516–23. Epub 2014/02/12. doi: 10.1177/1545968313520412 PMID: 24515924.
71. Rietberg MB, van Wegen EE, Uitdehaag BM, de Vet HC, Kwakkel G. How Reproducible Is Home-Based 24-Hour Ambulatory Monitoring of Motor Activity in Patients With Multiple Sclerosis? Arch Phys Med Rehabil. 2010; 91(10):1537–41. doi: 10.1016/j.apmr.2010.07.018 WOS:000282720300008. PMID: 20875511
72. Sandroff B, Pilutti L, Dlugonski D, Motl RW. Physical activity and information processing speed in persons with multiple sclerosis: A prospective study. Mental Health and Physical Activity. 2013; 6:205–11.
73. Sandroff BM, Dlugonski D, Weikert M, Suh Y, Balantrapu S, Motl RW. Physical activity and multiple sclerosis: new insights regarding inactivity. Acta neurologica Scandinavica. 2012; 126(4):256–62. Epub 2012/01/04. doi: 10.1111/j.1600-0404.2011.01634.x PMID: 22211941.
74. Sandroff BM, Motl RW. Comparison of ActiGraph activity monitors in persons with multiple sclerosis and controls. Disability and rehabilitation. 2013; 35(9):725–31. Epub 2013/04/06. doi: 10.3109/ 09638288.2012.707745 PMID: 23557239.
75. Scott SM, Hughes AR, Galloway SD, Hunter AM. Surface EMG characteristics of people with multiple sclerosis during static contractions of the knee extensors. Clinical physiology and functional imaging. 2011; 31(1):11–7. Epub 2010/09/03. doi: 10.1111/j.1475-097X.2010.00972.x PMID: 20807227.
76. Shammas L, Zentek T, Haaren Bv, Schlesinger S, Hey S, Rashid A. Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study). Biomed Eng Online. 2014; 13(10). Epub Feb 6, 2014. doi: 10.1186/1475-925X-13-10
77. Snook EM, Motl RW. Physical activity behaviors in individuals with multiple sclerosis: roles of overall and specific symptoms, and self-efficacy. Journal of pain and symptom management. 2008; 36 (1):46–53. Epub 2008/03/26. doi: 10.1016/j.jpainsymman.2007.09.007 PMID: 18362058.
78. Snook EM, Motl RW, Gliottoni RC. The effect of walking mobility on the measurement of physical activity using accelerometry in multiple sclerosis. Clin Rehabil. 2009; 23(3):248–58. Epub 2009/02/ 17. doi: 10.1177/0269215508101757 PMID: 19218299.
79. Sosnoff JJ, Goldman MD, Motl RW. Real-life walking impairment in multiple sclerosis: preliminary comparison of four methods for processing accelerometry data. Multiple sclerosis (Houndmills, Basingstoke, England). 2010; 16(7):868–77. Epub 2010/06/11. doi: 10.1177/1352458510373111 PMID: 20534642.
80. Ward CL, Suh Y, Lane AD, Yan H, Ranadive SM, Fernhall B, et al. Body composition and physical function in women with multiple sclerosis. Journal of rehabilitation research and development. 2013; 50(8):1139–47. Epub 2014/01/25. PMID: 24458900.
81. Weikert M, Motl RW, Suh Y, McAuley E, Wynn D. Accelerometry in persons with multiple sclerosis: measurement of physical activity or walking mobility? Journal of the neurological sciences. 2010; 290 (1–2):6–11. Epub 2010/01/12. doi: 10.1016/j.jns.2009.12.021 PMID: 20060544.
82. Weikert M, Suh Y, Lane A, Sandroff B, Dlugonski D, Fernhall B, et al. Accelerometry is associated with walking mobility, not physical activity, in persons with multiple sclerosis. Medical engineering & physics. 2012; 34(5):590–7. Epub 2011/10/05. doi: 10.1016/j.medengphy.2011.09.005 PMID: 21968005.
83. Lamers I, Kerkhofs L, Raats J, Kos D, Van Wijmeersch B, Feys P. Perceived and actual arm performance in multiple sclerosis: relationship with clinical tests according to hand dominance. Multiple sclerosis (Houndmills, Basingstoke, England). 2013; 19(10):1341–8. Epub 2013/02/15. doi: 10.1177/ 1352458513475832 PMID: 23407701.
84. Learmonth YC, Motl RW, Sandroff BM, Pula JH, Cadavid D. Validation of patient determined disease steps (PDDS) scale scores in persons with multiple sclerosis. BMC neurology. 2013;13. doi: 10.1186/ 1471-2377-13-37 WOS:000318848600001.
85. Services. UDoHaH. Physical Activity Guidelines for Americans http://www.health.gov/paguidelines/report/: U.S. Department of Health and Human Services. Washington, DC: US Department of Health and Human Services; 2008 [cited 2015 02/11/15].
86. Alzahrani MA, Ada L, Dean CM. Duration of physical activity is normal but frequency is reduced after stroke: an observational study. Journal of physiotherapy. 2011; 57(1):47–51. Epub 2011/03/16. doi: 10.1016/s1836-9553(11)70007-8 PMID: 21402330.
87. Alzahrani MA, Dean CM, Ada L. Ability to negotiate stairs predicts free-living physical activity in community-dwelling people with stroke: an observational study. The Australian journal of physiotherapy. 2009; 55(4):277–81. Epub 2009/11/26. PMID: 19929771.
88. Alzahrani MA, Dean CM, Ada L, Dorsch S, Canning CG. Mood and Balance are Associated with Free-Living Physical Activity of People after Stroke Residing in the community. Stroke research and treatment. 2012; 2012:470648. Epub 2011/10/21. doi: 10.1155/2012/470648 PMID: 22013550; PubMed Central PMCID: PMCPmc3195499.
89. Askim T, Bernhardt J, Churilov L, Fredriksen KR, Indredavik B. Changes in physical activity and related functional and disability levels in the first six months after stroke: a longitudinal follow-up study. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine. 2013; 45(5):423–8. Epub 2013/04/11. doi: 10.2340/16501977-1137 PMID: 23571658.
90. Baert I, Feys H, Daly D, Troosters T, Vanlandewijck Y. Are patients 1 year post-stroke active enough to improve their physical health? Disability and rehabilitation. 2012; 34(7):574–80. Epub 2011/10/11. doi: 10.3109/09638288.2011.613513 PMID: 21981331.
91. Barak S, Wu SS, Dai Y, Duncan PW, Behrman AL. Adherence to accelerometry measurement of community ambulation poststroke. Phys Ther. 2014; 94(1):101–10. Epub 2013/09/14. doi: 10.2522/ ptj.20120473 PMID: 24029299; PubMed Central PMCID: PMCPmc3892677.
92. Bowden MG, Balasubramanian CK, Behrman AL, Kautz SA. Validation of a speed-based classification system using quantitative measures of walking performance poststroke. Neurorehabilitation and neural repair. 2008; 22(6):672–5. Epub 2008/10/31. doi: 10.1177/1545968308318837 PMID: 18971382; PubMed Central PMCID: PMCPmc2587153.
93. Danks KA, Roos MA, McCoy D, Reisman DS. A step activity monitoring program improves real world walking activity post stroke. Disability and rehabilitation. 2014; 36(26):2233–6. Epub 2014/03/29. doi: 10.3109/09638288.2014.903303 PMID: 24670193; PubMed Central PMCID: PMCPmc4350931.
94. de Niet M, Bussmann JB, Ribbers GM, Stam HJ. The stroke upper-limb activity monitor: its sensitivity to measure hemiplegic upper-limb activity during daily life. Arch Phys Med Rehabil. 2007; 88 (9):1121–6. Epub 2007/09/11. doi: 10.1016/j.apmr.2007.06.005 PMID: 17826456.
95. Dobkin BH, Xu X, Batalin M, Thomas S, Kaiser W. Reliability and validity of bilateral ankle accelerometer algorithms for activity recognition and walking speed after stroke. Stroke; a journal of cerebral circulation. 2011; 42(8):2246–50. Epub 2011/06/04. doi: 10.1161/strokeaha.110.611095 PMID: 21636815.
96. Frazer SW, Hellebrand WE, Keijsers NL. Variation and achievement of ambulatory activity among patients with chronic stroke. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine. 2013; 45(9):848–53. Epub 2013/07/05. doi: 10.2340/ 16501977-1195 PMID: 23824138.
97. Fulk GD, Reynolds C, Mondal S, Deutsch JE. Predicting home and community walking activity in people with stroke. Arch Phys Med Rehabil. 2010; 91(10):1582–6. Epub 2010/09/30. doi: 10.1016/j.apmr. 2010.07.005 PMID: 20875518.
98. Gebruers N, Truijen S, Engelborghs S, De Deyn PP. Predictive value of upper-limb accelerometry in acute stroke with hemiparesis. Journal of rehabilitation research and development. 2013; 50(8):1099–106. Epub 2014/01/25. doi: 10.1682/jrrd.2012.09.0166 PMID: 24458895.
99. Gebruers N, Truijen S, Engelborghs S, De Deyn PP. Prediction of upper limb recovery, general disability, and rehabilitation status by activity measurements assessed by accelerometers or the Fugl-Meyer score in acute stroke. American journal of physical medicine & rehabilitation / Association of Academic Physiatrists. 2014; 93(3):245–52. Epub 2014/01/09. PMID: 24398579.
100. Gebruers N, Truijen S, Engelborghs S, Nagels G, Brouns R, De Deyn PP. Actigraphic measurement of motor deficits in acute ischemic stroke. Cerebrovascular diseases (Basel, Switzerland). 2008; 26 (5):533–40. Epub 2008/10/07. doi: 10.1159/000160210 PMID: 18836264.
101. Haeuber E, Shaughnessy M, Forrester LW, Coleman KL, Macko RF. Accelerometer monitoring of home- and community-based ambulatory activity after stroke. Arch Phys Med Rehabil. 2004; 85 (12):1997–2001. Epub 2004/12/18. PMID: 15605339.
102. Knarr B, Roos MA, Reisman DS. Sampling frequency impacts measurement of walking activity after stroke. Journal of rehabilitation research and development. 2013; 50(8):1107–12. Epub 2014/01/25. doi: 10.1682/jrrd.2012.12.0225 PMID: 24458896.
103. Lang CE, Wagner JM, Edwards DF, Dromerick AW. Upper extremity use in people with hemiparesis in the first few weeks after stroke. Journal of neurologic physical therapy: JNPT. 2007; 31(2):56–63. Epub 2007/06/15. PMID: 17558358.
104. Lemmens RJ, Timmermans AA, Janssen-Potten YJ, Pulles SA, Geers RP, Bakx WG, et al. Accelerometry measuring the outcome of robot-supported upper limb training in chronic stroke: a randomized controlled trial. PloS one. 2014; 9(5):e96414. Epub 2014/05/16. doi: 10.1371/journal.pone.0096414 PMID: 24823925; PubMed Central PMCID: PMCPmc4019639.
105. Manns PJ, Baldwin E. Ambulatory activity of stroke survivors: measurement options for dose, intensity, and variability of activity. Stroke; a journal of cerebral circulation. 2009; 40(3):864–7. Epub 2009/ 01/20. doi: 10.1161/strokeaha.108.531590 PMID: 19150867.
106. Moore JL, Roth EJ, Killian C, Hornby TG. Locomotor training improves daily stepping activity and gait efficiency in individuals poststroke who have reached a "plateau" in recovery. Stroke; a journal of cerebral circulation. 2010; 41(1):129–35. Epub 2009/11/17. doi: 10.1161/strokeaha.109.563247 PMID: 19910547.
107. Michael K, Goldberg AP, Treuth MS, Beans J, Normandt P, Macko RF. Progressive Adaptive Physical Activity in Stroke Improves Balance, Gait, and Fitness: Preliminary Results. Topics in stroke rehabilitation. 2009; 16(2):133–9. doi: 10.1310/tsr1602-133 PMC2934904. PMID: 19581199
108. Mudge S, Barber PA, Stott NS. Circuit-based rehabilitation improves gait endurance but not usual walking activity in chronic stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2009; 90 (12):1989–96. Epub 2009/12/09. doi: 10.1016/j.apmr.2009.07.015 PMID: 19969159.
109. Michielsen ME, Selles RW, Stam HJ, Ribbers GM, Bussmann JB. Quantifying nonuse in chronic stroke patients: a study into paretic, nonparetic, and bimanual upper-limb use in daily life. Arch Phys Med Rehabil. 2012; 93(11):1975–81. Epub 2012/04/03. doi: 10.1016/j.apmr.2012.03.016 PMID: 22465403.
110. Mudge S, Stott NS. Test—retest reliability of the StepWatch Activity Monitor outputs in individuals with chronic stroke. Clin Rehabil. 2008; 22(10–11):871–7. Epub 2008/10/29. doi: 10.1177/ 0269215508092822 PMID: 18955419.
111. Mudge S, Stott NS. Timed walking tests correlate with daily step activity in persons with stroke. Arch Phys Med Rehabil. 2009; 90(2):296–301. Epub 2009/02/25. doi: 10.1016/j.apmr.2008.07.025 PMID: 19236983.
112. Rand D, Eng JJ. Disparity between functional recovery and daily use of the upper and lower extremities during subacute stroke rehabilitation. Neurorehabilitation and neural repair. 2012; 26(1):76–84. Epub 2011/06/23. doi: 10.1177/1545968311408918 PMID: 21693771; PubMed Central PMCID: PMCPmc3233607.
113. Rand D, Eng JJ, Tang PF, Hung C, Jeng JS. Daily physical activity and its contribution to the health-related quality of life of ambulatory individuals with chronic stroke. Health Qual Life Outcomes. 2010; 8:80. Epub 2010/08/05. doi: 10.1186/1477-7525-8-80 PMID: 20682071; PubMed Central PMCID: PMCPmc2927504.
114. Rand D, Eng JJ, Tang PF, Jeng JS, Hung C. How active are people with stroke?: use of accelerometers to assess physical activity. Stroke; a journal of cerebral circulation. 2009; 40(1):163–8. Epub 2008/10/25. doi: 10.1161/strokeaha.108.523621 PMID: 18948606.
115. Reiterer V, Sauter C, Klosch G, Lalouschek W, Zeitlhofer J. Actigraphy—a useful tool for motor activity monitoring in stroke patients. European neurology. 2008; 60(6):285–91. Epub 2008/10/01. doi: 10. 1159/000157882 PMID: 18824856.
116. Robinson CA, Shumway-Cook A, Ciol MA, Kartin D. Participation in community walking following stroke: subjective versus objective measures and the impact of personal factors. Phys Ther. 2011; 91 (12):1865–76. Epub 2011/10/18. doi: 10.2522/ptj.20100216 PMID: 22003172.
117. Roos MA, Rudolph KS, Reisman DS. The structure of walking activity in people after stroke compared with older adults without disability: a cross-sectional study. Phys Ther. 2012; 92(9):1141–7. Epub 2012/06/09. doi: 10.2522/ptj.20120034 PMID: 22677293; PubMed Central PMCID: PMCPmc3432950.
118. Seitz RJ, Hildebold T, Simeria K. Spontaneous arm movement activity assessed by accelerometry is a marker for early recovery after stroke. Journal of neurology. 2011; 258(3):457–63. Epub 2010/10/ 19. doi: 10.1007/s00415-010-5778-y PMID: 20953792.
119. Shim S, Kim H, Jung J. Comparison of upper extremity motor recovery of stroke patients with actual physical activity in their daily lives measured with accelerometers. Journal of physical therapy science. 2014; 26(7):1009–11. Epub 2014/08/21. doi: 10.1589/jpts.26.1009 PMID: 25140084; PubMed Central PMCID: PMCPmc4135185.
120. Strommen AM, Christensen T, Jensen K. Quantitative measurement of physical activity in acute ischemic stroke and transient ischemic attack. Stroke; a journal of cerebral circulation. 2014; 45 (12):3649–55. Epub 2014/11/06. doi: 10.1161/strokeaha.114.006496 PMID: 25370584.
121. Thrane G, Emaus N, Askim T, Anke A. Arm use in patients with subacute stroke monitored by accelerometry: association with motor impairment and influence on self-dependence. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine. 2011; 43(4):299–304. Epub 2011/02/25. doi: 10.2340/16501977-0676 PMID: 21347506.
122. Uswatte G, Foo WL, Olmstead H, Lopez K, Holand A, Simms LB. Ambulatory monitoring of arm movement using accelerometry: an objective measure of upper-extremity rehabilitation in persons with chronic stroke. Arch Phys Med Rehabil. 2005; 86(7):1498–501. Epub 2005/07/09. PMID: 16003690.
123. Uswatte G, Giuliani C, Winstein C, Zeringue A, Hobbs L, Wolf SL. Validity of accelerometry for monitoring real-world arm activity in patients with subacute stroke: evidence from the extremity constraint-induced therapy evaluation trial. Arch Phys Med Rehabil. 2006; 87(10):1340–5. Epub 2006/10/07. doi: 10.1016/j.apmr.2006.06.006 PMID: 17023243.
124. Uswatte G, Hobbs Qadri L. A behavioral observation system for quantifying arm activity in daily life after stroke. Rehabil Psychol. 2009; 54(4):398–403. Epub 2009/11/26. doi: 10.1037/a0017501 PMID: 19929121; PubMed Central PMCID: PMCPmc2799120.
125. van der Pas SC, Verbunt JA, Breukelaar DE, van Woerden R, Seelen HA. Assessment of arm activity using triaxial accelerometry in patients with a stroke. Arch Phys Med Rehabil. 2011; 92(9):1437–42. Epub 2011/09/01. doi: 10.1016/j.apmr.2011.02.021 PMID: 21878214.
126. Fulk GD, Combs SA, Danks KA, Nirider CD, Raja B, Reisman DS. Accuracy of 2 activity monitors in detecting steps in people with stroke and traumatic brain injury. Phys Ther. 2014; 94(2):222–9. Epub 2013/09/21. doi: 10.2522/ptj.20120525 PMID: 24052577.
127. Cancela J, Pastorino M, Arredondo MT, Nikita KS, Villagra F, Pastor MA. Feasibility study of a wearable system based on a wireless body area network for gait assessment in Parkinson's disease patients. Sensors (Basel, Switzerland). 2014; 14(3):4618–33. Epub 2014/03/13. doi: 10.3390/ s140304618 PMID: 24608005; PubMed Central PMCID: PMCPmc4003960.
128. Cavanaugh JT, Ellis TD, Earhart GM, Ford MP, Foreman KB, Dibble LE. Capturing ambulatory activity decline in Parkinson's disease. Journal of neurologic physical therapy: JNPT. 2012; 36(2):51–7. Epub 2012/05/18. PMID: 22592060; PubMed Central PMCID: PMCPmc3934648.
129. Chastin SF, Baker K, Jones D, Burn D, Granat MH, Rochester L. The pattern of habitual sedentary behavior is different in advanced Parkinson's disease. Movement disorders: official journal of the Movement Disorder Society. 2010; 25(13):2114–20. Epub 2010/08/20. doi: 10.1002/mds.23146 PMID: 20721926.
130. Dontje ML, de Greef MH, Speelman AD, van Nimwegen M, Krijnen WP, Stolk RP, et al. Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease. Parkinsonism & related disorders. 2013; 19(10):878–82. Epub 2013/06/19. doi: 10.1016/j.parkreldis.2013.05.014 PMID: 23769178.
131. El-Gohary M, Pearson S, McNames J, Mancini M, Horak F, Mellone S, et al. Continuous monitoring of turning in patients with movement disability. Sensors (Basel, Switzerland). 2013; 14(1):356–69. Epub 2014/01/01. doi: 10.3390/s140100356 PMID: 24379043; PubMed Central PMCID: PMCPmc3926561.
132. Ellis T, Cavanaugh JT, Earhart GM, Ford MP, Foreman KB, Fredman L, et al. Factors associated with exercise behavior in people with Parkinson disease. Phys Ther. 2011; 91(12):1838–48. Epub 2011/ 10/18. doi: 10.2522/ptj.20100390 PMID: 22003171; PubMed Central PMCID: PMCPmc3229047.
133. Ford MP, Malone LA, Walker HC, Nyikos I, Yelisetty R, Bickel CS. Step activity in persons with Parkinson's disease. Journal of physical activity & health. 2010; 7(6):724–9. Epub 2010/11/23. PMID: 21088302.
134. Garcia Ruiz PJ, Sanchez Bernardos V. Evaluation of ActiTrac (ambulatory activity monitor) in Parkinson's Disease. Journal of the neurological sciences. 2008; 270(1–2):67–9. Epub 2008/03/08. PMID: 18325537.
135. Hideyuki N, Hitoshi T. Analysis of 24-h Physical Effects of Home Exercise on Physical Function and Activity in Home Care Patients with Parkinson's Disease. Journal of physical therapy science. 2014; 26:1701–6.
136. Iluz T, Gazit E, Herman T, Sprecher E, Brozgol M, Giladi N, et al. Automated detection of missteps during community ambulation in patients with Parkinson's disease: a new approach for quantifying fall risk in the community setting. Journal of neuroengineering and rehabilitation. 2014; 11:48. Epub 2014/ 04/04. doi: 10.1186/1743-0003-11-48 PMID: 24693881; PubMed Central PMCID: PMCPmc3978002.
137. Lord S, Godfrey A, Galna B, Mhiripiri D, Burn D, Rochester L. Ambulatory activity in incident Parkinson's: more than meets the eye? Journal of neurology. 2013; 260(12):2964–72. Epub 2013/08/01. doi: 10.1007/s00415-013-7037-5 PMID: 23900754.
138. Moore ST, Dilda V, Hakim B, Macdougall HG. Validation of 24-hour ambulatory gait assessment in Parkinson's disease with simultaneous video observation. Biomedical engineering online. 2011; 10:82. Epub 2011/09/23. doi: 10.1186/1475-925x-10-82 PMID: 21936884; PubMed Central PMCID: PMCPmc3184280.
139. Hideyuki N, Hitoshi T. Analysis of 24-h Physical Activities of Patients with Parkinson's Disease at Home. Journal of physical therapy science. 2011; 23(3):509–13.
140. Pan W, Ohashi K, Yamamoto Y, Kwak S. Power-law temporal autocorrelation of activity reflects severity of parkinsonism. Movement disorders: official journal of the Movement Disorder Society. 2007; 22(9):1308–13. Epub 2007/05/01. doi: 10.1002/mds.21527 PMID: 17469191.
141. Rochester L, Jones D, Hetherington V, Nieuwboer A, Willems AM, Kwakkel G, et al. Gait and gait-related activities and fatigue in Parkinson's disease: what is the relationship? Disability and rehabilitation. 2006; 28(22):1365–71. Epub 2006/10/31. doi: 10.1080/09638280600638034 PMID: 17071567.
142. Wallen MB, Dohrn IM, Stahle A, Franzen E, Hagstromer M. Comparison of pedometer and accelerometer derived steps in older individuals with Parkinson's disease or osteoporosis under free-living conditions. Journal of aging and physical activity. 2014; 22(4):550–6. Epub 2013/12/07. doi: 10.1123/ japa.2013-0052 PMID: 24306767.
143. Wallen MB, Nero H, Franzen E, Hagstromer M. Comparison of two accelerometer filter settings in individuals with Parkinson's disease. Physiological measurement. 2014; 35(11):2287–96. Epub 2014/10/ 24. doi: 10.1088/0967-3334/35/11/2287 PMID: 25340812.
144. Weiss A, Herman T, Giladi N, Hausdorff JM. Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days. PloS one. 2014; 9(5):e96675. Epub 2014/05/08. doi: 10. 1371/journal.pone.0096675 PMID: 24801889; PubMed Central PMCID: PMCPmc4011791.
145. White DK, Wagenaar RC, Del Olmo ME, Ellis TD. Test-retest reliability of 24 hours of activity monitoring in individuals with Parkinson's disease in home and community. Neurorehabilitation and neural repair. 2007; 21(4):327–40. Epub 2007/03/21. doi: 10.1177/1545968306297867 PMID: 17369513.
146. Yoneyama M, Kurihara Y, Watanabe K, Mitoma H. Accelerometry-based gait analysis and its application to Parkinson's disease assessment- part 2: a new measure for quantifying walking behavior. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society. 2013; 21(6):999–1005. Epub 2013/06/26. doi: 10.1109/ tnsre.2013.2268251 PMID: 23797284.
147. Busse ME, Pearson OR, Van Deursen R, Wiles CM. Quantified measurement of activity provides insight into motor function and recovery in neurological disease. Journal of neurology, neurosurgery, and psychiatry. 2004; 75(6):884–8. Epub 2004/05/18. PMID: 15146006; PubMed Central PMCID: PMCPmc1739073.
148. David R, Mulin E, Friedman L, Le Duff F, Cygankiewicz E, Deschaux O, et al. Decreased daytime motor activity associated with apathy in Alzheimer disease: an actigraphic study. The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry. 2012; 20(9):806–14. Epub 2011/10/15. doi: 10.1097/JGP.0b013e31823038af PMID: 21997602.
149. Erickson KI, Barr LL, Weinstein AM, Banducci SE, Akl SL, Santo NM, et al. Measuring physical activity using accelerometry in a community sample with dementia. Journal of the American Geriatrics Society. 2013; 61(1):158–9. Epub 2013/01/15. doi: 10.1111/jgs.12050 PMID: 23311557; PubMed Central PMCID: PMCPmc3567918.
150. Gietzelt M, Feldwieser F, Govercin M, Steinhagen-Thiessen E, Marschollek M. A prospective field study for sensor-based identification of fall risk in older people with dementia. Informatics for health & social care. 2014; 39(3–4):249–61. Epub 2014/08/26. doi: 10.3109/17538157.2014.931851 PMID: 25148560.
151. Gietzelt M, Wolf KH, Kohlmann M, Marschollek M, Haux R. Measurement of accelerometry-based gait parameters in people with and without dementia in the field: a technical feasibility study. Methods of information in medicine. 2013; 52(4):319–25. Epub 2013/06/29. doi: 10.3414/me12-02-0009 PMID: 23807731.
152. Greiner C, Makimoto K, Suzuki M, Yamakawa M, Ashida N. Feasibility study of the integrated circuit tag monitoring system for dementia residents in Japan. American journal of Alzheimer's disease and other dementias. 2007; 22(2):129–36. Epub 2007/06/05. doi: 10.1177/1533317507299414 PMID: 17545140.
153. Hoffmeyer A, Yordanova K, Teipel S, Kirste T. Sensor Based Monitoring for People with Dementia: Searching for Movement Markers in Alzheimer's Disease for a Early Diagnostic. 2012. In: Constructuring Ambient Intelligence [Internet]. [137–45].
154. James BD, Boyle PA, Bennett DA, Buchman AS. Total daily activity measured with actigraphy and motor function in community-dwelling older persons with and without dementia. Alzheimer disease and associated disorders. 2012; 26(3):238–45. Epub 2011/09/29. PMID: 21946015; PubMed Central PMCID: PMCPmc3251727.
155. Kirste T, Hoffmeyer A, Koldrack P, Bauer A, Schubert S, Schroder S, et al. Detecting the effect of Alzheimer's disease on everyday motion behavior. Journal of Alzheimer's disease: JAD. 2014; 38 (1):121–32. Epub 2013/10/01. doi: 10.3233/jad-130272 PMID: 24077435.
156. Yuki A, Lee S, Kim H, Kozakai R, Ando F, Shimokata H. Relationship between physical activity and brain atrophy progression. Medicine and science in sports and exercise. 2012; 44(12):2362–8. Epub 2012/07/11. PMID: 22776876.
157. Nagels G, Engelborghs S, Vloeberghs E, Lemmens W, Pickut BA, De Deyn PP. Correlation between actigraphy and nurses' observation of activity in dementia. International journal of geriatric psychiatry. 2007; 22(1):84–6. Epub 2006/12/16. doi: 10.1002/gps.1647 PMID: 17171751.
158. Nagels G, Engelborghs S, Vloeberghs E, Van Dam D, Pickut BA, De Deyn PP. Actigraphic measurement of agitated behaviour in dementia. International journal of geriatric psychiatry. 2006; 21(4):388–93. Epub 2006/03/15. doi: 10.1002/gps.1483 PMID: 16534768.
159. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. Journal of psychiatric research. 1975; 12(3):189–98. Epub 1975/ 11/01. PMID: 1202204.
160. Hassett L, Moseley A, Harmer A, van der Ploeg HP. The Reliability, Validity, and Feasibility of Physical Activity Measurement in Adults With Traumatic Brain Injury: An Observational Study. The Journal of head trauma rehabilitation. 2014. Epub 2014/04/12. PMID: 24721810.
161. Subramony SH, Kedar S, Murray E, Protas E, Xu H, Ashizawa T, et al. Objective home-based gait assessment in spinocerebellar ataxia. Journal of the neurological sciences. 2012; 313(1–2):95–8. Epub 2011/10/25. doi: 10.1016/j.jns.2011.09.016 PMID: 22018764.
162. Tully MA, McBride C, Heron L, Hunter RF. The validation of Fibit Zip physical activity monitor as a measure of free-living physical activity. BMC research notes. 2014; 7(1):952. Epub 2014/12/30. doi: 10.1186/1756-0500-7-952 PMID: 25539733; PubMed Central PMCID: PMCPmc4307145.
163. Cadmus-Bertram LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women. American journal of preventive medicine. 2015; 49 (3):414–8. Epub 2015/06/15. doi: 10.1016/j.amepre.2015.01.020 PMID: 26071863.
164. Clemes SA, Matchett N, Wane SL. Reactivity: an issue for short-term pedometer studies? British journal of sports medicine. 2008; 42(1):68–70. Epub 2008/01/08. doi: 10.1136/bjsm.2007.038521 PMID: 18178685.
165. Dobkin BH, Dorsch A. The Promise of mHealth: Daily Activity Monitoring and Outcome Assessments by Wearable Sensors. Neurorehabilitation and neural repair. 2011; 25(9):788–98. doi: 10.1177/ 1545968311425908 WOS:000295802400001. PMID: 21989632
166. John D, Freedson P. ActiGraph and Actical physical activity monitors: a peek under the hood. Medicine and science in sports and exercise. 2012; 44(1 Suppl 1):S86–9. Epub 2011/12/23. PMID: 22157779; PubMed Central PMCID: PMCPmc3248573.
167. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American journal of medicine. 2015. Epub 2015/06/21. doi: 10.1016/j.amjmed.2015.05.038 PMID: 26091764.
168. Mammen G, Gardiner S, Senthinathan A, McClemont L, Stone M, Faulkner G. Is this Bit Fit? Measuring the Quality of the Fitbit Step-Counter. 2012; 5(4):10. Epub 2012-12-30.
169. Checchi KD, Huybrechts KF, Avorn J, Kesselheim AS. Electronic medication packaging devices and medication adherence: a systematic review. Jama. 2014; 312(12):1237–47. Epub 2014/09/24. doi: 10.1001/jama.2014.10059 PMID: 25247520; PubMed Central PMCID: PMCPmc4209732.