Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment

IEEE Transactions on Mobile Computing

Volumn 16, Issue 8, 2017, Pages 2159-2173

  Fallahzadeh, Ramin ^a   Ma, Yuchao ^a   Ghasemzadeh, Hassan ^a  

^a Washington State University   (United States)

Author keywords

activity recognition; heart failure; low power wearable design; Peripheral edema; remote health monitoring

Indexed keywords

CARDIOLOGY; ELECTRIC BATTERIES; HEALTH; MEDICAL APPLICATIONS; MONITORING; OUTAGES; REGRESSION ANALYSIS; WEARABLE TECHNOLOGY;

ACTIVITY RECOGNITION; HEART FAILURE; LOW POWER; PERIPHERAL EDEMA; REMOTE HEALTH MONITORING;

PATIENT MONITORING;

EID: 85028463753     PISSN: 15361233     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMC.2016.2616403     Document Type: Article

References (80)

1. G. Acampora, D. J. Cook, P. Rashidi, and A. V. Vasilakos, "A sur vey on ambient intelligence in healthcare, " Proc. IEEE, vol. 101, no. 12, pp. 2470-2494, Dec. 2013.
2. R. Fallahzadeh, S. Aminikhanghahi, A. N. Gibson, and D. J. Cook, "Toward personalized and context-aware prompting for smart-phone-based intervention, " in Proc. 38th Annu. Int. Conf. Eng. Med. Biol. Soc., 2016, pp. 6010-6013.
3. S. A. Rokni, H. Ghasemzadeh, and N. Hezarjaribi, "Smart medica-tion management, current technologies, and future directions, " Handbook Res. Healthcare Administration Manage., vol. 1, pp. 188-204, 2016.
4. C. Simon, C. Cain, S. Hajiammini, R. Saeedi, M. Schmitter-Edgecombe, and D. Cook, "Digital memory notebook: Experimental evaluation of motivational reward strategies, " in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2014, pp. 1201-1208.
5. K. G. Brodovicz, K. McNaughton, N. Uemura, G. Meininger, C. J. Girman, and S. H. Yale, "Reliability and feasibility of methods to quantitatively assess peripheral edema, " Clinical Med. Res., vol. 7, no. 1/2, pp. 21-31, 2009.
6. K. P. Trayes, J. S. Studdiford, S. Pickle, and A. S. Tully, "Edema: Diagnosis and management, " Amer. Family Physician, vol. 88, no. 2, pp. 102-110, 2013.
7. W. P. Gorman, K. R. Davis, and R. Donnelly, "Swollen lower limb?1: General assessment and deep vein thrombosis, " British Med. J., vol. 320, no. 7247, pp. 1453-1456, 2000.
8. J. Navas and M. Martinez-Maldonado, "Pathophysiology of edema in congestive heart failure, " Heart Disease Stroke: A J. Primary Care Physicians, vol. 2, no. 4, pp. 325-329, 1992.
9. T. Kawano, S. Nishida, and M. Hashimoto, "Development of measuring device for lower leg swelling using a strain gauge, " JSME Int. J. Series C, vol. 48, no. 4, pp. 592-597, 2005.
10. R. L. Gause, "Conductive elastomeric extensometer, " U.S. Patent 3 820 529, 1974.
11. J. A. Healey, "Method and apparatus for measuring lower extrem ity volume, " U.S. Patent 7 484 408, Feb. 3, 2009.
12. R. Fallahzadeh, M. Pedram, and H. Ghasemzadeh, "SmartSock: A wearable platform for context-aware assessment of ankle edema, " IEEE 38th Annu. Int. Conf. Eng. Med. Biol. Soc. (EMBC), pp. 6302-6306, 2016.
13. J. Williamson, et al., "Data sensing and analysis: Challenges for wearables, " in Proc. 20th Asia South Pacific Des. Autom. Conf., 2015, pp. 136-141.
14. J. Pouwelse, K. Langendoen, and H. Sips, "Dynamic voltage scal-ing on a low-power microprocessor, " in Proc. 7th Annu. Int. Conf. Mobile Comput. Netw., 2001, pp. 251-259.
15. D. Raskovic and D. Giessel, "Dynamic voltage and frequency scaling for on-demand performance and availability of biomedical embedded systems, " IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 6, pp. 903-909, Nov. 2009.
16. A. Y. Dogan, J. Constantin, M. Ruggiero, A. Burg, and D. Atienza, "Multi-core architecture design for ultra-low-power wearable health monitoring systems, " in Proc. Conf. Des. Autom. Test Europe, 2012, pp. 988-993.
17. B. L. Faett, M. J. Geyer, L.A. Hoffman, and D. M. Brienza, "Design and development of a telerehabilitation self-management program for persons with chronic lower limb swelling and mobility limitations: Preliminary evidence, " Nursing Res. Practice, 2012. [Online]. Available: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514836/
18. V. Konstam, et al., "Health-related quality of life in a multicenter randomized controlled comparison of telephonic disease management and automated home monitoring in patients recently hospi-talized with heart failure: SPAN-CHF II trial, " J. Cardiac Failure, vol. 17, pp. 151-157, 2011.
19. G. Giamouzis, et al., "Telemonitoring in chronic heart failure: A systematic review, " Cardiology Res. Practice, vol. 2012, 2012, Art. no. 410820.
20. K. H. Bowles, et al., "Clinical effectiveness, access to, and satisfaction with care using a telehomecare substitution intervention: A randomized controlled trial, " Int. J. Telemedicine Appl., vol. 2011, pp. 12:12-12:12, Jan. 2011.
21. Z. Pang and J. Tian, "Ecosystem-driven design of in-home terminals based on open platform for the internet-of-things, " in Proc. 16th Int. Conf. Adv. Commun. Technol., Feb. 2014, pp. 369-377.
22. H. Heidbuchel, et al., "EuroEco (European health economic trial on home monitoring in ICD patients): A provider perspective in five European countries on costs and net financial impact of follow-up with or without remote monitoring, " Eur. Heart J., vol. 36, pp. 158-169, 2014.
23. J. T. Black, et al., "A remote monitoring and telephone nurse coaching intervention to reduce readmissions among patients with heart failure: Study protocol for the better effectiveness after transition-heart failure (BEAT-HF) randomized controlled trial, " Trials, vol. 15, no. 1, 2014, Art. no. 124.
24. A. S. Go, et al., "Heart disease and stroke statistics-2014 update, " Circulation, vol. 129, no. 3, pp. e28-e292, 2014.
25. D. Lloyd-Jones, et al., "Heart disease and stroke statistics-2009 update: A report from the American heart association statistics committee and stroke statistics subcommittee, " Circulation, vol. 119, no. 3, pp. e21-e181, 2009.
26. P. A. Heidenreich, et al., "Forecasting the impact of heart failure in the United States: A policy statement from the american heart association, " Circulation: Heart Failure, vol. 6, no. 3, pp. 606-619, 2013.
27. B. Riegel, B. Carlson, D. Glaser, and T. Romero, "Randomized controlled trial of telephone case management in hispanics of mexican origin with heart failure, " J. Cardiac Failure, vol. 12, no. 3, pp. 211-219, 2006.
28. J. A. Walden, et al., "Extended comparison of quality of life between stable heart failure patients and heart transplant recipients, " J. Heart Lung Transplantation: Official Publication Int. Soc. Heart Transplantation, vol. 13, no. 6, pp. 1109-1118, 1993.
29. R. Holland, B. Rechel, K. Stepien, I. Harvey, and I. Brooksby, "Patients' self-assessed functional status in heart failure by new york heart association class: A prognostic predictor of hospitaliza-tions, quality of life and death, " J. Cardiac Failure, vol. 16, no. 2, pp. 150-156, 2010.
30. J. Chen, et al., "Blue scale: Early detection of impending conges-tive heart failure events via wireless daily self-monitoring, " in Proc. IEEE Healthcare Innovation Conf., 2014, pp. 63-66.
31. A. S. Desai and M. A. Konstam, "Home monitoring heart failure care does not improve patient outcomes looking beyond tele-phone-based disease management, " Circulation, vol. 125, no. 6, pp. 828-836, 2012.
32. S. I. Lee, et al., "Remote patient monitoring: What impact can data analytics have on cost?" in Proc. 4th Conf. Wireless Health, 2013, pp. 4:1-4:8.
33. C. E. Q. Belczak, J. M. P.d. Godoy, R. N. Ramos, M. A. d. Oliveira, S. Q. Belczak, and R. A. Caffaro, "Influence of working shift on the formation of lower limb edema in normal individuals, " J. Vascular Brasileiro, vol. 7, no. 3, pp. 225-230, 2008.
34. W. H. Wu, A. Bui, M. Batalin, L. Au, J. Binney, and W. J. Kaiser, "MEDIC: Medical embedded device for individualized care, " Artif. Intell. Med., vol. 42, no. 2, pp. 137-152, Feb. 2008.
35. A. S. Grustam, J. L. Severens, J. van Nijnatten, R. Koymans, and H. J. M. Vrijhoef, "Cost-effectiveness of telehealth interventions for chronic heart failure patients: A literature review, " Int. J. Technol. Assessment Health Care, vol. 30, no. 10, pp. 59-68, 2014.
36. S. Weyer, et al., "Bioelectrical impedance spectroscopy as a fluid management system in heart failure, " Physiological Meas., vol. 35, no. 6, 2014, Art. no. 917.
37. J. Pagan, J. L. Risco-Martin, J. M. Moya, and J. L. Ayala, "Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases, " J. Biomed. Informat., vol. 62, pp. 136-147, 2016.
38. A. Avci, S. Bosch, M. Marin-Perianu, R. Marin-Perianu, and P. Havinga, "Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey, " in Proc. 23rd Int. Conf. Archit. Comput. Syst., Feb. 2010, pp. 1-10.
39. Y. Ma, R. Fallahzadeh, and H. Ghasemzadeh, "Glaucoma-specific gait pattern assessment using body-worn sensors, " IEEE Sensors J., vol. 16, no. 16, pp. 6406-6415, Aug. 2016.
40. J. Pagan, et al., "Robust and accurate modeling approaches for migraine per-patient prediction from ambulatory data, " Sensors, vol. 15, no. 7, 2015, Art. no. 15419.
41. B. Odeh, R. Kayyali, S. Nabhani-Gebara, and N. Philip, "Optimizing cancer care through mobile health, " Supportive Care Cancer, vol. 23, no. 7, pp. 2183-2188, 2015.
42. N. Hezarjaribi, C. A. Reynolds, D. T. Miller, N. Chaytor, and H. Ghasemzadeh, "S2NI: A mobile platform for nutrition monitoring from spoken data, " in Proc. 38th Annu. Int. Conf. Eng. Med. Biol. Soc, 2016, pp. 1991-1994.
43. R. Maguire, et al., "Development of a novel remote patient monitoring system: The advanced symptom management system for radiotherapy to improve the symptom experience of patients with lung cancer receiving radiotherapy, " Cancer Nursing, vol. 38, no. 2, pp. E37-E47, 2015.
44. H. Mushcab, G Kernohan, and S. Martin, "Remote monitoring systems for self-managing type 2 diabetes: A systematic review, " 8th Saudi Students Conf. UK, Queen Elizabeth II Conf. Centre London, KAUST, p. 8, 2015.
45. P. Das, R. N. Mitra, and N. Suppakitjarak, "Smart shoes with cueing system and remote monitoring of Parkinson's patients: SCARP, " in Proc. 3rd Int. Conf. Found. Frontiers Comput. Commun. Electr. Eng., 2016, Art. no. 269.
46. J. S. Healey, R. D. Lopes, and S. J. Connolly, "The detection and treatment of subclinical atrial fibrillation: Evaluating the impact of a comprehensive strategy based on remote arrhythmia monitoring, " Eur. Heart J., 2015, Art. no. ehv159.
47. W. Chen, J. C. Augusto, and F. Seoane, Recent Advances in Ambient Assisted Living-Bridging Assistive Technologies, E-Health and Person-alized Health Care, vol. 20. Amsterdam, The Netherlands: IOS Press, 2015.
48. J. A. Anderson, "Method for detecting edema, " U.S. Patent 5 891 059, Apr. 6, 1999.
49. S. C. Mukhopadhyay, "Wearable sensors for human activity monitoring: A review, " IEEE Sensors J., vol. 15, no. 3, pp. 1321-1330, Mar. 2015.
50. P. Alinia, R. Saeedi, B. Mortazavi, A. Rokni, and H. Ghasemzadeh, "Impact of sensor misplacement on estimating metabolic equivalent of task with wearables, " in Proc. IEEE 12th Int. Conf. Wearable Implantable Body Sensor Netw., 2015, pp. 1-6.
51. P. Alinia, R. Saeedi, R. Fallahzadeh, A. Rokni, and H. Ghasemzadeh, "A reliable and reconfigurable signal processing framework for estimation of metabolic equivalent of task in wearable sensors, " IEEE J. Select. Topics Signal Process., vol. 10, no. 5, pp. 842-853, Aug. 2016.
52. M. Davis and K. Fox, "Physical activity patterns assessed by accel-erometry in older people, " Eur. J. Appl. Physiology, vol. 100, no. 5, pp. 581-589, 2007.
53. S. L. Murphy, "Physical activity patterns assessed by accelerome-try in older people, " Preventive Med., vol. 48, pp. 108-114, 2009.
54. N. Chakravarthy, J. Engel, A. Chavan, and B. Finlay, "A study of activity and body posture with the PiiX mobile body-adherent device, " in Proc. 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc, Aug. 2014, pp. 2714-2717.
55. X. Wang, "Research on data fusion technology of body posture detection based on Kalman filter, " Appl. Mech. Mater., vol. 668, pp. 1003-1006, 2014.
56. Activpal, 2015. [Online]. Available: http://www.paltechnologies. com/products/
57. D. R. Bassett, D. John, S. A. Conger, B. C. Rider, R. M. Passmore, and J. M. Clark, "Detection of lying down, sitting, standing, and stepping using two activpal monitors, " Med. Sci. Sports Exercise, vol. 46, no. 10, pp. 2025-2029, 2014.
58. H. Zhuang, B. Zhao, Z. Ahmad, and K. S. Low, "3D depth camera based human posture detection and recognition using PCNN circuits and learning-based hierarchical classifier, " in Proc. Int. Joint Conf. Neural Netw., 2012, pp. 1-5.
59. H. Ghasemzadeh, R. Fallahzadeh, and R. Jafari, "A hardware-assisted energy-efficient processing model for activity recognition using wearables, " ACM Trans. Des. Autom. Electron. Syst., vol. 21, 2016, Art. no. 58.
60. J. Birjandtalab, Q. Zhang, and R. Jafari, "A case study on mini-mum energy operation for dynamic time warping signal processing in wearable computers, " in Proc. IEEE Int. Conf. Pervasive Comput. Commun. Workshops, 2015, pp. 415-420.
61. R. Saeedi, R. Fallahzadeh, P. Alinia, and H. Ghasemzadeh, "An energy-efficient computational model for uncertainty management in dynamically changing networked wearables, " in Proc. Int. Symp. Low Power Electron. Des., 2016, pp. 46-51.
62. X. Sheng, J. Tang, and W. Zhang, "Energy-efficient collaborative sensing with mobile phones, " in Proc. IEEE INFOCOM, 2012, pp. 1916-1924.
63. H. Mamaghanian, N. Khaled, D. Atienza, and P. Vandergheynst, "Compressed sensing for real-time energy-efficient ECG compression on wireless body sensor nodes, " IEEE Trans. Biomed. Eng., vol. 58, no. 9, pp. 2456-2466, Sep. 2011.
64. A. Krause, et al., "Trading off prediction accuracy and power consumption for context-aware wearable computing, " in Proc. 9th IEEE Int. Symp. Wearable Comput., 2005, pp. 20-26.
65. R. Meijer, J. Rietman, J. Geertzen, J. Bosmans, and P. Dijkstra, "Validity and intra-and interobserver reliability of an indirect volume measurements in patients with upper extremity lymphedema, " Lymphology, vol. 37, no. 3, pp. 127-133, 2004.
66. H. N. Mayrovitz, "Limb volume estimates based on limb elliptical versus circular cross section models, " Lymphology, vol. 36, no. 3, pp. 140-143, 2003.
67. H. N. Mayrovitz, J. Macdonald, S. Davey, K. Olson, and E. Washington, "Measurement decisions for clinical assessment of limb volume changes in patients with bilateral and unilateral limb edema, " Phys. Therapy, vol. 87, no. 10, pp. 1362-1368, 2007.
68. T. Deltombe, et al., "Reliability and limits of agreement of circufer-ential, water displacement, and optoelectronic volumetry in the measurement of upper limb lymphedema, " Lymphology, vol. 40, no. 1, pp. 26-34, 2007.
69. H. Partsch, J. Winiger, and B. Lun, "Compression stockings reduce occupational leg swelling, " Dermatologic Surg., vol. 30, no. 5, pp. 737-743, 2004.
70. I. O. Man, K. Glover, P. Nixon, R. Poyton, R. Terre, and M. C. Morrissey, "Effect of body position on foot and ankle volume in healthy subjects, " Clinical Physiology Functional Imag., vol. 24, no. 6, pp. 323-326, 2004.
71. R. Fallahzadeh, M. Pedram, R. Saeedi, B. Sadeghi, M. Ong, and H. Ghasemzadeh, "Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema, " in Proc. 7th Int. Workshop Inf. Quality Quality Service Pervasive Comput. Conjunction, 2015, pp. 57-62.
72. Force sensing resistor integration guide and evaluation parts catalog, Sep. 2015. [Online]. Available: www.sparkfun.com/datasheets/Sensors/Pressure/fsrguide.pdf6
73. 9 degrees of freedom-razor IMU, Nov. 2014. [Online]. Available: www.sparkfun.com/products/10736
74. Bluetooth mate gold, Nov. 2014. [Online]. Available: www. sparkfun.com/products/12580
75. W. Huyer and A. Neumaier, "Global optimization by multilevel coordinate search, " J. Global Optimization, vol. 14, no. 4, pp. 331-355, 1999.
76. R. G. Regis and C. A. Shoemaker, "Combining radial basis func-tion surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization, " Eng. Optimization, vol. 45, no. 5, pp. 529-555, 2013.
77. H. Ghasemzadeh, N. Amini, R. Saeedi, and M. Sarrafzadeh, "Power-aware computing in wearable sensor networks: An optimal feature selection, " IEEE Trans. Mobile Comput., vol. 14, no. 4, pp. 800-812, Apr. 2014.
78. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The WEKA data mining software: An update, " ACM SIGKDD Explorations Newslett., vol. 11, no. 1, pp. 10-18, Nov. 2009.
79. S. Lee, A. Ermedahl, and S. L. Min, "An accurate instruction-level energy consumption model for embedded RISC processors, " ACM SIGPLAN Notices, vol. 36, no. 8, pp. 1-10, 2001.
80. Q. Yang, "Activity recognition: Linking low-level sensors to high-level intelligence, " in Proc. 21st Int. Jont Conf. Artif. Intell., 2009, vol. 9, pp. 20-25.