A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses

Physiological Measurement

Volumn 39, Issue 5, 2018, Pages

  Reinertsen, Erik ^a   Clifford, Gari D ^a,b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

accelerometry; heart rate variability; machine learning; mobile health; neurology; psychiatry; sensors

Indexed keywords

BEHAVIORAL RESEARCH; DIAGNOSIS; HEART; MACHINE LEARNING; MHEALTH; NEURODEGENERATIVE DISEASES; PATIENT MONITORING; PATIENT TREATMENT; PHYSIOLOGICAL MODELS; SURVEYS; WEARABLE SENSORS;

ACCELEROMETRY; ACTIGRAPHY; DIGITAL SENSORS; HEART RATE VARIABILITY; HEART-RATE; MULTIMODAL SENSING; PSYCHIATRY; SENSOR; SMART PHONES; SOCIAL ACTIVITIES;

ACCELEROMETERS;

AMBULATORY ELECTROCARDIOGRAPHY; BEHAVIOR; DEVICES; ELECTRONIC DEVICE; HUMAN; MENTAL DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; SMARTPHONE;

BEHAVIOR; ELECTROCARDIOGRAPHY, AMBULATORY; HUMANS; MENTAL DISORDERS; MONITORING, PHYSIOLOGIC; SMARTPHONE; WEARABLE ELECTRONIC DEVICES;

EID: 85049011187     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/1361-6579/aabf64     Document Type: Article

References (234)

1. Abdullah S, Matthews M and Frank E 2016 Automatic detection of social rhythms in bipolar disorder J. Am. Med. Inf. Assoc. 23 538-43
2. Addington D, Addington J and Maticka-Tyndale E 1993 Assessing depression in schizophrenia: the Calgary Depression Scale Br. J. Psychiatry 22 39-44
3. Addington D, Addington J and Schissel B 1990 A depression rating scale for schizophrenics Schizophrenia Res. 3 247-51
4. Addington D, Addington J, Eleanor M T and Joyce J 1992 Reliability and validity of a depression rating scale for schizophrenics Schizophrenia Res. 6 201-8
5. Aguilera A, Schueller S M and Leykin Y 2015 Daily mood ratings via text message as a proxy for clinic based depression assessment J. Affective Disorders 175 471-4
6. Akselrod S, Gordon D, Ubel F, Shannon D, Berger A and Cohen R 1981 Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control Science 213 220-22
7. Albert M V, Toledo S, Shapiro M and Kording K 2017 Using mobile phones for activity recognition in Parkinson's patients Front. Neurol. 3 158
8. AlHanai T and Ghassem M M 2017 Predicting latent narrative mood using audio and physiologic data AAAI
9. Allan L M, Kerr S R J and Ballard C G 2005 Autonomic function assessed by heart rate variability is normal in Alzheimer's disease and vascular dementia Dementia and Geriatric Cognitive Disorders 19 140-4
10. Allen J 2017 Photoplethysmography and its application in clinical physiological measurement Physiol. Meas. 28 R1-R39
11. Altman E G, Hedeker D, Peterson J L and Davis J M 1997 The Altman Self-Rating Mania Scale Biol. Psychiatry 42 948-55
12. Alzheimer's Association 2016 Alzheimer's disease facts and figures pp 459-509 Technical Report 4
13. Andrews S, Ellis D A, Shaw H and Piwek L 2015 Beyond self-report: tools to compare estimated and real-world smartphone use PLoS One 10 e0139004
14. Apiquian R, Fresán A, Jairo M D, Kiang M, Ulloa R and Kapur S 2017 Variations of rest-activity rhythm and sleep-wake in schizophrenic patients versus healthy subjects: an actigraphic comparative study Biol. Rhythm Res. 39 69-78
15. Armontrout J, Torous J, Fisher M, Drogin E and Gutheil T 2016 Mobile mental health: navigating new rules and regulations for digital tools Curr. Psychiatry Rep. 18 91
16. Asch D A, Muller R W and Volpp K G 2012 Automated hovering in health care - watching over the 5000 h New Engl. J. Med. 367 1-3
17. Aung M, Matthews M and Choudhury T 2017 Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies Depression Anxiety 34 603-9
18. Bagby R, Ryder A, Schuller D and Marshall M 2017 The Hamilton depression rating scale: has the gold standard become a lead weight? Am. J. Psychiatry 161 2163-77
19. Bär K J, Boettger M, Koschke M, Schulz S, Chokka P, Yeragani V K and Voss A 2017 Non-linear complexity measures of heart rate variability in acute schizophrenia Clin. Neurophysiol. 118 2009-15
20. Barnett I, Torous J, Staples P, Sandoval L, Keshavan M and Onnela J P 2018 Relapse prediction in schizophrenia through digital phenotyping: a pilot study Neuropsychopharmacology accepted (https://doi.org/10.1038/s41386-018-0030-z)
21. Barrett P M, Steinhubl S R, Muse E D and Topol E J 2017 Digitising the mind Lancet 389 1877
22. Batista E, Borràs F and Antoni M B 2015 Monitoring people with MCI: deployment in a real scenario for low-budget smartphones 6th Int. Conf. on Information, Intelligence, Systems and Applications pp 1-6
23. Bauer A, Kantelhardt J W, Bunde A, Barthel P, Schneider R, Malik M and Schmidt G 2017 Phase-rectified signal averaging detects quasi-periodicities in non-stationary data Phys. A: Stat. Mech. Appl. 364 423-34
24. Beck A T, Steer R A and Antonio B G K 1996 Beck depression inventory-II San Antonio 78 490-8
25. Beck A T, Ward C H, Mendelson M, Mock J and Erbaugh J 1961 An inventory for measuring depression Arch. Gen. Psychiatry 4 561-71
26. Behar J, Roebuck A, Domingos J S, Gederi E and Clifford G D 2013 A review of current sleep screening applications for smartphones Physiol. Meas. 34 R29-46
27. Beiwinkel T, Kindermann S, Maier A, Kerl C, Moock J, Barbian G and Rössler W 2016 Using smartphones to monitor bipolar disorder symptoms: a pilot study JMIR Mental Health 3 e2
28. Belmaker R H and Agam G 2008 Major depressive disorder New Engl. J. Med. 358 55-68
29. Ben-Zeev D, Scherer E A, Wang R, Xie H and Campbell A T 2015 Next-generation psychiatric assessment: using smartphone sensors to monitor behavior and mental health Psychiatric Rehabil. J. 3 218-26
30. Berle J O, Hauge E R, Oedegaard K J, Holsten F and Fasmer O B 2017 Actigraphic registration of motor activity reveals a more structured behavioural pattern in schizophrenia than in major depression BMC Res. Notes 3 1-7
31. Bot B M et al 2016 The mPower study, Parkinson disease mobile data collected using ResearchKit Sci. Data 3 160011
32. Brown R, Duma S, Piguet O, Broe G A and Macefield V G 2012 Cardiovascular variability in Parkinson's disease and extrapyramidal motor slowing Clin. Autonomic Res. 22 191-6
33. Bullock B and Murray G 2014 Reduced amplitude of the 24 hour activity rhythm: a biomarker of vulnerability to bipolar disorder? Clin. Psychol. Sci. 2 86-96
34. Burns M N, Begale M, Duffecy J, Gergle D, Karr C J, Giangrande E and Mohr D C 2011 Harnessing context sensing to develop a mobile intervention for depression J. Med. Internet Res. 13 e55
35. Burton C, McKinstry B, Szentagotai Tǎtar A, Serrano-Blanco A, Pagliari C and Wolters M 2013 Activity monitoring in patients with depression: a systematic review J. Affective Disorders 145 21-8
36. Buysse D, Reynolds C F, Monk T H, Berman S R and Kupfer D J 1989 The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research Psychiatry Res. 28 193-213
37. Canzian L and Musolesi M 2015 Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis UbiComp
38. Capecci M, Pepa L, Verdini F and Ceravolo M G 2016 A smartphone-based architecture to detect and quantify freezing of gait in Parkinson's disease Gait Posture 50 28-33
39. Carpenter L L, Tyrka A R, McDougle C J, Malison R T, Owens M J, Nemeroff C B and Price L H 2004 Cerebrospinal fluid corticotropin-releasing factor and perceived early-life stress in depressed patients and healthy control subjects Neuropsychopharmacology 29 777
40. Cella M, Okruszek Ł, Lawrence M, Zarlenga V, He Z and Wykes T 2017 Using wearable technology to detect the autonomic signature of illness severity in schizophrenia Schizophrenia Res.
41. Cemer I 2011 'Noise measurement' Sensors Online (https://www.sensorsmag.com/embedded/noise-measurement)
42. Chang J S, Yoo C S, Yi S H, Hong K H, Oh H S, Hwang J Y, Kim S G G, Ahn Y M and Kim Y S 2009 Differential pattern of heart rate variability in patients with schizophrenia Prog. Neuro-Psychopharmacol. Biol. Psychiatry 33 991-5
43. Chow S C 2014 Adaptive clinical trial design Ann. Rev. Med. 65 405-15
44. Clifford G D 2002 Signal processing methods for heart rate variability PhD Thesis University of Oxford
45. Clifford G D 2016 The use of sustainable and scalable health care technologies in developing countries Innov. Entrepreneurship Health 3 35-46
46. Clifford G D and Clifton D A 2012 Wireless technology in disease management and medicine Ann. Rev. Med. 63 479-92
47. Clifford G D, Behar J, Li Q and Rezek I 2012 Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms Physiol. Meas. 33 1419-33
48. Clifford G D, Lopez D, Li Q and Rezek I 2011 Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments Comput. Cardiol. 1419 285-8
49. Cohen H, Benjamin J, Geva A B, Matar M A, Kaplan Z and Kotler M 2000 Autonomic dysregulation in panic disorder and in post-traumatic stress disorder: application of power spectrum analysis of heart rate variability at rest and in response to recollection of trauma or panic attacks Psychiatry Res. 96 1-13
50. Cohen S, Kamarck T and Mermelstein R 1983 A global measure of perceived stress J. Health Soc. Behav. 24 385-96
51. Collins P Y et al 2011 Grand challenges in global mental health Nature 475 27-30
52. Copeland L A, Zeber J E, Salloum I M, Pincus H A, Fine M J and Kilbourne A M 2017 Treatment adherence and illness insight in veterans with bipolar disorder J. Nervous Mental Dis. 196 16
53. Costa M, Goldberger A and Peng C K 2002 Multiscale entropy analysis of complex physiologic time series Phys. Rev. Lett. 89 068102
54. Delaney J P A and Brodie D A 2000 Effects of short-term psychological stress on the time and frequency domains of heart-rate variability Perceptual Motor Skills 91 515-24
55. Depue R A, Slater J F, Heidi W K, Klein D, Goplerud E and Farr D 1981 A behavioral paradigm for identifying persons at risk for bipolar depressive disorder: a conceptual framework and five validation studies J. Abnormal Psychol. 90 381
56. Dodel R C, Singer M, Rudolf K V, Szucs T, Rathay B, Scholz E and Oertel W H 1998 The economic impact of Parkinson's disease Pharmacoeconomics 14 299-312
57. Draghici A E and Taylor J A 2016 The physiological basis and measurement of heart rate variability in humans J. Physiol. Anthropol. 35 22-9
58. Eadicicco L 2016 Americans check their phones 8 billion times a day Time (http://time.com/4147614/smartphone-usage-us-2015/)
59. Ebner-Priemer U W, Kuo J, Welch S, Thielgen T, Witte S, Bohus M and Linehan M M 2006 A valence-dependent group-specific recall bias of retrospective self-reports: a study of borderline personality disorder in everyday life J. Nervous Mental Dis. 194 774-9
60. Ehrenreich B, Righter B, Rocke D, Dixon L and Himelhoch S 2017 Are mobile phones and handheld computers being used to enhance delivery of psychiatric treatment?: a systematic review J. Nervous Mental Dis. 199 886
61. Elhai J D and Frueh B C 2015 Security of electronic mental health communication and record-keeping in the digital age J. Clin. Psychiatry 77
62. Ellis R J, Ng Y, Zhu S, Tan D M, Anderson B, Schlaug G and Wang Y 2015 A validated smartphone-based assessment of gait and gait variability in Parkinson's disease PLoS One 10 e0141694
63. Emam K E, Rodgers S and Malin B 2015 Anonymising and sharing individual patient data BMJ 350
64. Emory University 2016 Emory healthy aging study https://healthyaging.emory.edu
65. Epel E S, Blackburn E H, Lin J, Dhabhar F S, Adler N E, Morrow J D and Cawthron R M 2004 Accelerated telomere shortening in response to life stress Proc. Natl Acad. Sci. 101 17312-5
66. Eyben F, Wöllmer M and Schuller B 2010 Opensmile: the munich versatile and fast open-source audio feature extractor Proc. 18th ACM Int. Conf. on Multimedia pp 1459-62
67. Faedda G L, Ohashi K, Hernandez M, McGreenery C E, Grant M C, Baroni A, Polcari A and Teicher M H 2016 Actigraph measures discriminate pediatric bipolar disorder from attention' deficit/hyperactivity disorder and typically developing controls J. Child Psychol. Psychiatry 57 706-16
68. Fahn S and Elton R L 1987 Unified Parkinsons disease rating scale Recent Developments in Parkinson's Disease vol 2 (New York: Raven Press) pp 153-63 (Macmillan Healthcare Information)
69. Fasmer O B, Hauge E, Berle J, Dilsaver S and Oedegaard K J 2015 Distribution of active and resting periods in the motor activity of patients with depression and Schizophrenia Psychiatry Invest. 13 112-20
70. Faurholt-Jepsen M et al 2015 Smartphone data as an electronic biomarker of illness activity in bipolar disorder Bipolar Disorders 17 715-28
71. Femminella G D et al 2014 Autonomic dysfunction in Alzheimer's disease: tools for assessment and review of the literature J. Alzheimer's Dis. 42 369-77
72. Firth J, Cotter J, Torous J, Bucci S, Firth J A and Yung A R 2016 Mobile phone ownership and endorsement of 'health' among people with psychosis: a meta-analysis of cross-sectional studies Schizophrenia Bull. 42 448-55
73. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V and Haines A 2013 The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review PLoS Med. 10 e1001362
74. Freeman D et al 2017 The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis Lancet Psychiatry 4 749-58
75. Gandhi M and Wang T 2014 The future of biosensing wearables Rock Health Technical Report (https://rockhealth.com/reports/the-future-of-biosensing-wearables/)
76. Goetz C G 2003 The unified Parkinson's disease rating scale (UPDRS): status and recommendations Mov. Disorders 18 738-50
77. Goetz C G et al 2007 Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): process, format, and clinimetric testing plan Mov. Disorders 22 41-7
78. Goetz C G et al 2004 Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: status and recommendations Mov. Disord 19 1020-8
79. Gracious B, Youngstrom E A, Findling R and Calabrese J 2002 Discriminative validity of a parent version of the Young Mania rating scale J. Am. Acad. Child Adolescent Psychiatry 41 1350-9
80. Griffiths R I et al 2012 Automated assessment of bradykinesia and dyskinesia in Parkinson's disease J. Parkinson's Dis. 2 47-55
81. Grippo A J and Johnson A K 2009 Stress, depression and cardiovascular dysregulation: a review of neurobiological mechanisms and the integration of research from preclinical disease models Stress 12 1-21
82. Grünerbl A et al 2015 Smartphone-based recognition of states and state changes in bipolar disorder patients IEEE J. Biomed. Health Inf. 19 140-8
83. Guzzetti S et al 2005 Symbolic dynamics of heart rate variability Circulation 112 465-70
84. Haapaniemi T H, Pursiainen V, Korpelainen J T, Huikuri H V, Sotaniemi K A and Myllylä V V 2001 Ambulatory ECG and analysis of heart rate variability in Parkinson's disease J. Neurol. Neurosur. Psychiatry 70 305-10
85. Hamilton M 1960 A rating scale for depression J. Neurol. Neurosurg. Psychiatry 23 56-62
86. Hauge E R, Berle J Ø, Oedegaard K J, Holsten F and Fasmer O B 2011 Nonlinear analysis of motor activity shows differences between schizophrenia and depression: a study using Fourier analysis and sample entropy PLoS One 6 e16291
87. Henry B L, Minassian A, Paulus M P, Geyer M A and Perry W 2010 Heart rate variability in bipolar mania and schizophrenia J. Psychiatric Res. 44 168-76
88. Hoehn M M and Yahr M D 1967 Parkinsonism: onset, progression and mortality Neurology 17 427-42
89. Horvitz E and Mulligan D 2015 Data, privacy, and the greater good Science 349 253-5
90. Huse D M, Schulman K, Orsini L, Jane C, Kennedy S and Lenhart G 2005 Burden of illness in Parkinson's disease Mov. Disorders 20 1449-54
91. Insel T R 2017 Digital phenotyping: technology for a new science of behavior JAMA 318 1215-6
92. Johnson A E, Ghassemi M M, Nemati S, Niehaus K E, Clifton D A and Clifford G D 2016 Machine learning and decision support in critical care Proc. IEEE 104 444-66
93. Jongsma H E et al 2018 Treated incidence of psychotic disorders in the multinational EU-GEI study JAMA Psychiatry 75 36-46
94. Kahn R et al 2015 Schizophrenia Nat. Rev. Dis. Primers 1 nrdp201567
95. Kallio M and Haapaniemi T H 2000 Heart rate variability in patients with untreated Parkinson's disease Eur. J. Neurol. 7 667-72
96. Kamdar M R and Wu M J 2016 Prism: a data-driven platform for monitoring mental health Pac. Symp. Biocomput. 21 333-44
97. Karemaker J 2017 An introduction into autonomic nervous function Physiol. Meas. 38 aa6782
98. Karow A, Pajonk F G, Reimer J, Hirdes F, Osterwald C, Naber D and Moritz S 2008 The dilemma of insight into illness in schizophrenia: self- and expert-rated insight and quality of life Eur. Arch. Psychiatry Clin. Neurosci. 258 152-9
99. Kassavetis P, Saifee T A, Roussos G, Drougkas L, Kojovic M, Rothwell J C, Edwards M J and Bhatia K P 2016 Developing a tool for remote digital assessment of Parkinson's disease Mov. Disorders Clin. Pract. 3 59-64
100. Kay S R, Fiszbein A and Opler L A 1987 The positive and negative syndrome scale (PANSS) for schizophrenia Schizophrenia Bull. 13 261-76
101. Kazdin A E and Rabbitt S M 2013 Novel models for delivering mental health services and reducing the burdens of mental illness Clin. Psychol. Sci. 1 170-91
102. Kemp A H, Quintana D S, Gray M A, Felmingham K L, Brown K and Gatt J M 2010 Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis Biol. Psychiatry 67 1067-74
103. Kheirkhahan M et al 2016 Actigraphy features for predicting mobility disability in older adults Physiol. Meas. 37 1813-33
104. Kim H et al 2015 Unconstrained detection of freezing of gait in Parkinson's disease patients using smartphone 37th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 3751-4
105. Kleiger R E, Stein P K and Bigger J T 2005 Heart rate variability: measurement and clinical utility Ann. Noninvasive Electrocardiol. 10 88-101
106. Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M and Kotsavasiloglou C 2015 A smartphone-based tool for assessing Parkinsonian hand tremor IEEE J. Biomed. Health Inf. 19 1835-42
107. Kostikis N, Hristu-Varsakelis M, Arnaoutoglou M and Kotsavasiloglou C 2014 Smartphone-based evaluation of Parkinsonian hand tremor: quantitative measurements versus clinical assessment scores 36th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 906-9
108. Krane-Gartiser K, Henriksen T, Morken G, Vaaler A and Fasmer O B 2014 Actigraphic assessment of motor activity in acutely admitted inpatients with bipolar disorder PLoS One 9 e89574
109. Kroenke K, Spitzer R L and Williams J B W 2001 The PHQ-9: validity of a brief depression severity measure J. Gen. Intern. Med. 16 606-13
110. Krystal A D 2012 Psychiatric disorders and sleep Neurol. Clin. 30 1389-413
111. Kubota K J, Chen J A and Little M A 2016 Machine learning for large-scale wearable sensor data in Parkinson's disease: concepts, promises, pitfalls, and futures Mov. Disorders 31 1314-26
112. Kuhlmei A, Walther B, Becker T, Müller U and Nikolaus T 2013 Actigraphic daytime activity is reduced in patients with cognitive impairment and apathy Eur. Psychiatry 28 94-7
113. Kuhn E, Greene C, Hoffman J, Nguyen T, Wald L, Schmidt J, Ramsey K M and Ruzek J 2014 Preliminary evaluation of PTSD coach, a smartphone app for post-traumatic stress symptoms Mil. Med. 179 12-8
114. Kumar R B, Goren N D, Stark D E, Wall D P and Longhurst C A 2016 Automated integration of continuous glucose monitor data in the electronic health record using consumer technology J. Am. Med. Inf. Assoc. 23 532-7
115. Lane R D, McRae K, Reiman E M, Chen K, Ahern G L and Thayer J F 2009 Neural correlates of heart rate variability during emotion NeuroImage 44 213-22
116. Lawton M P and Brody E M 1969 Assessment of older people: self-maintaining and instrumental activities of daily living Gerontologist 9 179-86
117. Lee W, Evans A and Williams D R 2016 Validation of a smartphone application measuring motor function in Parkinson's disease J. Parkinson's Dis. 6 371-82
118. Lee W K, Yoon H and Park K S 2015 Smart ECG monitoring patch with built-in R-peak detection for long-term HRV analysis Ann. Biomed. Eng. 44 2292-301
119. Lewinsohn P M, Seeley J R, Roberts R E and Allen N B 1997 Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults Psychol. Aging 12 277
120. Liddell B J, Kemp A H, Steel Z, Nickerson A, Bryant R A, Tam N, Tay A K and Silove D 2016 Heart rate variability and the relationship between trauma exposure age, and psychopathology in a post-conflict setting BMC Psychiatry 16 133
121. Lo A, Chernoff H, Zheng T and Lo S H 2015 Why significant variables are not automatically good predictors Proc. Natl Acad. Sci. 112 13892-7
122. Maes M, Van Bockstaele D R, Gastel A V, Song C, Schotte C, Neels H, Ingrid D, Scharpe S and Janca A 1999 The effects of psychological stress on leukocyte subset distribution in humans: evidence of immune activation Biol. Psychiatry 39 1-9
123. Maetzler W, Domingos J, Srulijes K, Ferreira J J and Bloem B R 2013 Quantitative wearable sensors for objective assessment of Parkinson's disease Mov. Disorders 28 1628-37
124. Malarkey W B, Pearl D K, Demers L M, Kiecolt-glaser J K and Glaser R 1995 Influence of academic stress and season on 24-hour mean concentrations of ACTH, cortisol, and beta-endorphin Psychoneuroendocrinology 20 499-508
125. Maria F J, Busk J, Frost M, Vinberg M, Christensen E M, Winther O, Bardram J E and Kessing L V 2016 Voice analysis as an objective state marker in bipolar disorder Transl. Psychiatry 6 e856
126. Maria F J, Frost M, Martiny K, Tuxen N, Rosenberg N, Busk J, Winther O, Bardram J and Kessing L 2017 Reducing the rate and duration of Re-ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment - the RADMIS trials: study protocol for two randomized controlled trials Trials 18 277
127. Maria F J, Frost M, Vinberg M, Christensen E M, Bardram J E and Kessing L V 2014 Smartphone data as objective measures of bipolar disorder symptoms Psychiatry Res. 217 124-7
128. Maria F J, Vinberg M, Christensen E M, Frost M, Bardram J and Kessing L 2013 Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder - the MONARCA trial protocol (monitoring, treatment and prediction of bipolar disorder episodes): a randomised controlled single-blind trial BMJ Open 3 e003353
129. Marin R S 1996 Apathy: concept, syndrome, neural mechanisms, and treatment Semin. Clin. Neuropsychiatry 1 304-14
130. Martin A, Rief W, Klaiberg A and Braehler E 2006 Validity of the Brief Patient Health Questionnaire Mood Scale (PHQ-9) in the general population Gen. Hosp. Psychiatry 28 71-7
131. Martin J L, Jeste D V and Sonia A I 2005 Older schizophrenia patients have more disrupted sleep and circadian rhythms than age-matched comparison subjects J. Psychiatric Res. 39 251-9
132. Masters C L, Bateman R, Blennow K, Rowe C C, Sperling R A and Cummings J L 2015 Alzheimer's disease Nat. Rev. Dis. Primers 1 15056
133. McConnell M V et al 2016 Feasibility of obtaining measures of lifestyle from a smartphone app: the myheart counts cardiovascular health study JAMA Cardiol. 2 67-76
134. Mcguire T G and Miranda J 2008 New evidence regarding racial and ethnic disparities in mental health: policy implications Health Affairs 27 393-403
135. Mohr D C, Zhang M and Schueller S M 2016 Personal sensing: understanding mental health using ubiquitous sensors and machine learning Ann. Rev. Clin. Psychol. 13 23-47
136. Monk T H, Petrie S R, Hayes A J and Kupfer D J 1994 Regularity of daily life in relation to personality, age, gender, sleep quality and circadian rhythms J. Sleep Res. 3 196-205
137. Monk T K, Flaherty J F, Frank E, Hoskinson K and Kupfer D J 1990 The social rhythm metric: an instrument to quantify the daily rhythms of life J. Nervous Mental Dis. 178
138. Montano N, Porta A, Cogliati C, Costantino G, Tobaldini E, Casali K R and Iellamo F 2009 Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior Neurosci. Biobehav. Rev. 33 71-80
139. Moore P J, Little M A, McSharry P E, Geddes J R and Goodwin G M 2012 Forecasting depression in bipolar disorder IEEE Trans. Biomed. Eng. 59 2801-7
140. Nahshoni E, Aravot D, Aizenberg D, Sigler M, Zalsman G, Strasberg B, Imbar S, Adler E and Weizman A 2004 Heart rate variability in patients with major depression Psychosomatics 45 129-34
141. Nakamura T, Kiyono K, Yoshiuchi K, Nakahara R, Struzik Z R and Yamamoto Y 2007 Universal scaling law in human behavioral organization Phys. Rev. Lett. 99 138103
142. National Institute of Mental Health 2016 'NIMH-Funded Study to Track the Effects of Trauma' www.nimh.nih.gov/news/science-news/2016/nimh-funded-study-to-track-the-effects-of-trauma.shtml
143. Nero H A, Wallén M, Franzén E, Ståhle A and Hagströmer M 2015 Accelerometer cut points for physical activity assessment of older adults with Parkinson's disease PLoS One 10 e0135899
144. Newcomer J W and Hennekens C H 2007 Severe mental illness and risk of cardiovascular disease JAMA 298 1794-6
145. Niwa F, Kuriyama N, Nakagawa M and Imanishi J 2011 Circadian rhythm of rest activity and autonomic nervous system activity at different stages in Parkinson's disease Autonomic Neurosci. 165 195-200
146. Noah B et al 2017 Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials NPJ Digital Medicine 1 2
147. Novartis 2018 'Novartis expands alliance with Science 37 to advance virtual clinical trials program' www.novartis.com/news/media-releases/novartis-expands-alliance-science-37-advance-virtual-clinical-trials-program
148. Nutt J G and Wooten G 2005 Diagnosis and initial management of Parkinson's disease New Engl. J. Med. 353 1021-7
149. Obermeyer Z and Emanuel E J 2016 Predicting the future - big data, machine learning, and clinical medicine New Engl. J. Med. 375 1216-9
150. O'Brien J et al 2016 A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression Psychol. Med. 47 93-102
151. Oh Y S, Kim J S, Kim Y I and Yang D W 2014 Circadian blood pressure and heart rate variations in de novo Parkinson's disease Biol. Rhythm Res. 45 335-43
152. Osipov M, Behzadi Y, Kane J M, Petrides G and Clifford G D 2015 Objective identification and analysis of physiological and behavioral signs of schizophrenia J. Mental Health 24 276-82
153. Otte C, Gold S M, Penninx B W, Pariante C M, Etkin A, Fava M, Mohr D C and Schatzberg A F 2016 Major depressive disorder Nat. Rev. Dis. Primers 2 16065
154. Overall J E and Gorham D R 1962 The brief psychiatric rating scale Psychol. Rep. 10 799-812
155. Palmius N, Osipov M, Bilderbeck A C and Goodwin G M 2014 A multi-sensor monitoring system for objective mental health management in resource constrained environments Appropriate Healthcare Technologies for Low Resource Settings pp 1-4
156. Palmius N, Tsanas A, Saunders K E A, Bilderbeck A C, Geddes J R, Goodwin G M and De Vos M 2017 Detecting bipolar depression from geographic location data IEEE Trans. Biomed. Eng. 64 1761-71
157. Pan D, Dhall R, Lieberman A and Petitti D B 2015 A mobile cloud-based Parkinson's disease assessment system for home-based monitoring JMIR mHealth and uHealth 3 e29
158. Patel M S, Asch D A and Volpp K G 2015 Wearable devices as facilitators, not drivers, of health behavior change JAMA 313 459-60
159. Patel S et al 2009 Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors IEEE Trans. Inf. Technol. Biomed. 13 864-73
160. Peeples M M, Iyer A K and Cohen J L 2013 Integration of a mobile-integrated therapy with electronic health records: lessons learned J. Diabetes Sci. Technol. 7 602-11
161. Place S et al 2017 Behavioral indicators on a mobile sensing platform predict clinically validated psychiatric symptoms of mood and anxiety disorders J. Med. Internet Res. 19 1-9
162. Poewe W, Seppi K, Tanner C M, Halliday G M, Brundin P, Volkmann J, Schrag A E and Lang A E 2017 Parkinson disease Nat. Rev. Dis. Primers 3 17013
163. Poushter J 2016 Smartphone ownership and internet usage continues to climb in emerging economies Technical Report (www.pewglobal.org/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/)
164. Radloff L S 1977 A self-report depression scale for research in the general population Appl. Psychol. Meas. 1 385-401
165. Reinertsen E, Nemati S, Vest A N, Vaccarino V, Lampert R, Shah A J and Clifford G D 2017a Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures Physiol. Meas. 38 1061
166. Reinertsen E, Osipov M, Liu C, Kane J M, Petrides G and Clifford G D 2017b Continuous assessment of schizophrenia using heart rate and accelerometer data Physiol. Meas. 38 1456-71
167. Rodgers M M, Pai V M and Conroy R S 2015 Recent advances in wearable sensors for health monitoring IEEE Sensors J. 15 3119-26
168. Roebuck A, Monasterio V, Gederi E, Osipov M, Behar J, Malhotra A, Penzel T and Clifford G D 2014 A review of signals used in sleep analysis Physiol. Meas. 35 R1-R57
169. Roh T, Hong S and Yoo H J 2014 Wearable depression monitoring system with heart-rate variability 36th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 562-5
170. Roy S H, Cole B T, Gilmore D L, Luca C J and Nawab H S 2011 Resolving signal complexities for ambulatory monitoring of motor function in Parkinson's disease 33rd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 4836-9
171. Rush A J, Carmody T J and Reimitz P E P 2000 The Inventory of Depressive Symptomatology (IDS): Clinician (IDS-C) and Self-Report (IDS-SR) ratings of depressive symptoms Int. J. Methods Psychiatric Res. 9 45-59
172. Rush A J et al 2003 The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression Biol. Psychiatry 54 573-83
173. Sadeh A and Acebo C 2002 The role of actigraphy in sleep medicine Sleep Med. Rev. 6 113-24
174. Saeb S, Lattie E G, Schueller S M, Kording K P and Mohr D C 2016a The relationship between mobile phone location sensor data and depressive symptom severity PeerJ 4 e2537
175. Saeb S, Lonini L, Jayaraman A, Mohr D C and Kording K P 2016b Voodoo Machine Learning for Clinical Predictions bioRxiv 059774
176. Saeb S, Zhang M, Karr C J, Schueller S M, Corden M E, Kording K P and Mohr D C 2015 Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study J. Med. Internet Res. 17 e175
177. Sano A and Picard R W 2013 Stress recognition using wearable sensors and mobile phones Humaine Association Conf. on Affective Computing and Intelligent Interaction Stress
178. Sano A et al 2015 Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones IEEE 12th Int. Conf on Wearable and Implantable Body Sensor Networks pp 1-6
179. Sano W, Nakamura T, Yoshiuchi K, Kitajima T, Tsuchiya A, Esaki Y, Yamamoto Y and Iwata N 2012 Enhanced persistency of resting and active periods of locomotor activity in schizophrenia PLoS One 7 e43539
180. Savage N 2015 Mobile data: made to measure Nature 527 S12-13
181. Saxena S, Thornicroft G, Knapp M and Whiteford H A 2007 Resources for mental health: scarcity, inequity, and inefficiency Lancet 370 878-89
182. Sayers J 2001 The world health report 2001 - Mental health: new understanding, new hope Bull. World Health Organ. 79 1085
183. Schreiber T 2000 Measuring information transfer Phys. Rev. Lett. 85 1-3
184. Schueller S M, Begale M, Penedo F J and Mohr D C 2014 Purple: a modular system for developing and deploying behavioral intervention technologies J. Med. Intern. Res. 16 e181
185. Seyfert-Margolis V 2018 The evidence gap Nat. Biotechnol. 36 228-32
186. Shalev A, Liberzon I and Marmar C 2017 Post-traumatic stress disorder New Engl. J. Med. 376 2459-69
187. Shin S, Yeom C W, Shin C, Shin J H, Jeong J, Shin J and Lee Y 2016 Activity monitoring using a mHealth device and correlations with psychopathology in patients with chronic schizophrenia Psychiatry Res. 246 712-8
188. Solhan M B, Trull T J, Jahng S and Wood P K 2009 Clinical assessment of affective instability: comparing EMA indices, questionnaire reports, and retrospective recall Psychol. Assess. 21 425-36
189. Sowden G and Huffman J C 2009 The impact of mental illness on cardiac outcomes: a review for the cardiologist Int. J. Cardiol.
190. Spielberger C D, Gorsuch R L, Lushene R, Vagg P R and Jacobs G A 1983 Manual for the State-Trait Anxiety Inventory (Palo Alto, CA: Consulting Psychologists Press)
191. Spitzer R L, Kroenke K, Williams J B W and Löwe B 2006 A brief measure for assessing generalized anxiety disorder Arch. Intern. Med. 166 1092
192. Spitzer R L, Kroenke K, Williams J B W and The Patient Health Questionnaire Primary Care Study Group 2012 Validation and utility of a self-report version of PRIME-MD JAMA 282 1737-44
193. Stamatakis J, Ambroise J, Crémers J, Sharei H, Delvaux V, Macq B and Garraux G 2013 Finger tapping clinimetric score prediction in Parkinson's disease using low-cost accelerometers Computational Intelligence and Neuroscience p 717853
194. Staples P, Torous J, Barnett I, Carlson K, Sandoval L, Keshavan M and Onnela J P 2017 A comparison of passive and active estimates of sleep in a cohort with schizophrenia NPJ Schizophrenia 3 37
195. Statista 2017 Wearable device sales revenue worldwide from 2016 to 2022 (in billion U.S. dollars) (https://www.statista.com/statistics/610447/wearable-device-revenue-worldwide/)
196. Stein P K, Bosner M S, Kleiger R E and Conger B M 1994 Heart rate variability: a measure of cardiac autonomic tone Am. Heart J. 127 1376-81
197. Taft C, Karlsson J and Sullivan M 2001 Do SF-36 summary component scores accurately summarize subscale scores? Qual. Life Res. 10 395-404
198. Teicher M H 1995 Actigraphy and motion analysis: new tools for psychiatry Harv. Rev. Psychiatry 3 18-35
199. Thayer J F, Åhs F, Fredrikson M, Sollers J J and Wager T D 2012 A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health Neurosci. Biobehav. Rev. 36 747-56
200. Torous J, Chan S, Tan S, Behrens J, Mathew I, Conrad E J, Hinton L, Yellowlees P and Keshavan M 2014 Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: a survey in four geographically distinct psychiatric clinics JMIR Men. Health 1 e5
201. Torous J, Kiang M V, Lorme J and Onnela J P 2016 New tools for new research in psychiatry: a scalable and customizable platform to empower data driven smartphone research JMIR Men. Health 3 e16
202. Trajković G, Starčević V, Latas M, Leštarević M, Ille T, Bukumirić Z and Marinković J 2011 Reliability of the Hamilton Rating Scale for Depression: A meta-analysis over a period of 49 years Psychiatry Res. 189 1-9
203. Tsanas A, Little M A, McSharry P E and Ramig L O 2011 Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity J. R. Soc. Interface 8 842-55
204. Tsanas A, Little M A, McSharry P E, Spielman J and Ramig L O 2012 Novel speech signal processing algorithms for high-accuracy classification of Parkinsons disease IEEE Trans. Biomed. Eng. 59 1264-71
205. Tsanas A, Saunders K E A, Bilderbeck A C, Palmius N, Osipov M, Clifford G D, Goodwin G M and De Vos M 2016 Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder J. Affective Disorders 205 225-33
206. Tung J Y, Rose R V, Gammada E, Lam I, Roy E A, Black S E and Poupart P 2014 Measuring life space in older adults with mild-to-moderate Alzheimer's disease using mobile phone GPS Gerontology 60 154-62
207. U.S. Department of Health, Human Services Food and Drug Administration 2005 Guidance for Industry and FDA Staff: Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices www.fda.gov/downloads/MedicalDevices/.../ucm089593.pdf
208. U.S. Department of Health, Human Services Food and Drug Administration 2015 Mobile Medical Applications www.fda.gov/MedicalDevices/DigitalHealth/MobileMedicalApplications/default.htm
209. Validic 2017 Partners connected health and validic announce collaboration to bring patient-generated data to patient care https://validic.com/news/partners-connected-health-and-validic-announce-collaboration-to-bring-patient-generated-data-to-patient-care/
210. Vallance J K, Winkler E, Gardiner P A, Healy G N, Lynch B M and Owen N 2011 Associations of objectively-assessed physical activity and sedentary time with depression: NHANES (2005-6) Preventative Med. 53 284-8
211. van de Martel T F 2008 Faking it: social desirability response bias in self-report research Aust. J. Adv. Nurs. 25 40-8
212. Van Someren E J W, Swaab D, Colenda C, Cohen W, Vaugh Mc Call W and Rosenquist P 2009 Bright light therapy: improved sensitivity to its effects on rest-activity rhythms in Alzheimer patients by application of nonparametric methods Chronobiol. Int. 16 505-18
213. Vancampfort D et al 2017 Sedentary behavior and physical activity levels in people with schizophrenia, bipolar disorder and major depressive disorder: a global systematic review and meta' analysis World Psychiatry 16 308-15
214. Vigo D, Thornicroft G and Atun R 2016 Estimating the true global burden of mental illness Lancet Psychiatry 3 171-8
215. Walther S, Horn H, Razavi N, Koschorke P, Müller T J and Strik W 2009a Quantitative motor activity differentiates schizophrenia subtypes Neuropsychobiology 60 80-6
216. Walther S, Koschorke P, Horn H and Strik W 2009b Objectively measured motor activity in schizophrenia challenges the validity of expert ratings Psychiatry Res. 169 187-90
217. Wang R et al 2016 CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia Proc. 2016 ACM Int. Joint Conf. on Pervasive and Ubiquitous Computing
218. Wang R et al 2014 StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones Proc. 2014 ACM Int. Joint Conf. on Pervasive and Ubiquitous Computing pp 3-14
219. Ware J E Jr and Sherbourne C D 1992 The MOS 36-item Short-Form Health Survey (SF-36). I. Conceptual framework and item selection Med. Care 90 473-83
220. Wasserstein R L and Lazar N A 2016 The ASA's statement on p-values: context, process, and purpose Am. Stat. 70 129-33
221. Weenk M, Alken A, Engelen L, Bredie S, van de Belt T H and van Goor H 2017 Stress measurement in surgeons and residents using a smart patch Am. J. Surg.
222. Whiteford H A et al 2013 Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 Lancet 382 1575-86
223. Wichniak A, Skowerska A, Jolanta C W, Tafliński T, Wierzbicka A, Jernajczyk W and Jarema M 2011 Actigraphic monitoring of activity and rest in schizophrenic patients treated with olanzapine or risperidone J. Psychiatric Res. 45 1381-6
224. Winkler D, Pjrek E, Nicole P R, Willeit M, Pezawas L, Konstantinidis A, Stastny J and Kasper S 2005 Actigraphy in patients with seasonal affective disorder and healthy control subjects treated with light therapy Biol. Psychiatry 58 331-6
225. Winter D A, Quanbury A O and Reimer G D 1972 Analysis of instantaneous energy of normal gait J. Biomech. 9 253-7
226. Witting W, Kwa I H, Eikelenboom P, Mirmiran M and Swaab D F 1990 Alterations in the circadian rest-activity rhythm in aging and Alzheimer's disease Biol. Psychiatry 27 563-72
227. Wittkampf K A, Naeije L, Schene A H, Huyser J and van Weert H C 2007 Diagnostic accuracy of the mood module of the patient health questionnaire: a systematic review Gen. Hosp. Psychiatry 29 388-95
228. Wolk D A and Dickerson B C 2017 Clinical features and diagnosis of Alzheimer disease UpToDate
229. Woodcock J, Whyte J and Henderson M B 2017 2015-2016 Global Participation in Clinical Trials Report (https://www.fda.gov/downloads/Drugs/InformationOnDrugs/UCM570195.pdf)
230. Woods A M, Nowostawski M, Franz E A and Purvis M 2014 Parkinson's disease and essential tremor classification on mobile device Pervasive Mob. Comput. 13 1-12
231. Young R C, Biggs J T, Ziegler V E and Meyer D A 1978 A rating scale for mania: reliability, validity and sensitivity Br. J. Psychiatry 133 429-35
232. Youngstrom E A, Frazier T W, Demeter C, Calabrese J R and Findling R L 2008 Developing a ten item mania scale from the parent general behavior inventory for children and adolescents J. Clin. Psychiatry 69 831-9
233. Zinkhan M and Kantelhardt J W 2016 Sleep assessment in large cohort studies with high-resolution accelerometers Sleep Med. Clin. 11 469-88
234. Zulli R et al 2005 QT dispersion and heart rate variability abnormalities in Alzheimer's disease and in mild cognitive impairment J. Am. Geriatrics Soc. 53 2135-9