Wireless sensor networks for rehabilitation applications: Challenges and opportunities

Journal of Network and Computer Applications

Volumn 36, Issue 1, 2013, Pages 1-15

  Hadjidj, Abdelkrim ^a   Souil, Marion ^a   Bouabdallah, Abdelmadjid ^a   Challal, Yacine ^a   Owen, Henry ^b  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Healthcare; Human motion tracking; Rehabilitation supervision; Wireless sensor networks

Indexed keywords

COMPUTER SCIENTISTS; EXCITING FIELD; HARDWARE DESIGN; HUMAN MOTION TRACKING; INTERDISCIPLINARY RESEARCH; NEW APPLICATIONS; RESEARCH COMMUNITIES; RESEARCH ISSUES; SIGNIFICANT IMPACTS; TECHNICAL CHALLENGES;

BIOMECHANICS; COMPUTER SCIENCE; HEALTH CARE; RESEARCH; SIGNAL PROCESSING; TARGET TRACKING;

WIRELESS SENSOR NETWORKS;

EID: 84870719671     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2012.10.002     Document Type: Review

References (101)

1. Afonso JA, Rocha LA, Silva HR, Correia JH. MAC protocol for Low-Power Real-Time wireless sensing and actuation. In: Proceedings of the 13th IEEE international conference on electronics, circuits and systems; 2006. p. 1248-51.
2. A. Alamri, J. Cha, and A. El Saddik AR-REHAB an augmented reality framework for Poststroke-patient rehabilitation IEEE Transactions on Instrumentation and Measurement 59 10 2010 2554 2563
3. H. Alemdar, and C. Ersoy Wireless sensor networks for healthcare a survey Computer Networks 54 15 2010 2688 2710
4. Alhamid MF, Saboune J, Alamri A, El Saddik A. Hamon: an activity recognition framework for health monitoring support at home. In: Proceedings of the 2011 IEEE instrumentation and measurement technology conference; 2011. p. 1-5.
5. T. Alves, B. Poussot, and J.M. Laheurte Analytical propagation modeling of BAN channels based on the Creeping-Wave theory IEEE Transactions on Antennas and Propagation 59 4 2011 1269 1274
6. U. Anliker, J. Beutel, M. Dyer, R. Enzler, P. Lukowicz, and L. Thiele A systematic approach to the design of distributed wearable systems IEEE Transactions on Computers 53 8 2004 1017 1033
7. Au LK, Batalin MA, Stathopoulos T, Bui AA, Kaiser WJ. Episodic sampling: towards energy-efficient patient monitoring with wearable sensors. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society; 2009. p. 6901-5.
8. Bag A, Bassiouni M. Energy efficient thermal aware routing algorithms for embedded biomedical sensor networks. In: Proceedings of the IEEE international conference on mobile ad hoc and sensor systems; 2006. p. 604-9.
9. Bravo J, Navarro FJ, Fontecha J, Hervas R. A mobile proposal for frailty monitoring by rehabilitation and physical daily activity. In: Proceedings of the 2011 IEEE international conference on consumer electronics; 2011. p. 176-80.
10. Brunelli D, Farella E, Rocchi L, Dozza M, Chiari L, Benini L. Bio-feedback system for rehabilitation based on a wireless body area network. In: Proceedings of the 4th annual IEEE international conference on pervasive computing and communications workshops; 2006. p. 527-31.
11. C. Bryanton, J. Bosse, M. Brien, J. Mclean, A. McCormick, and H. Sveistrup Feasibility, motivation, and selective motor control virtual reality compared to conventional home exercise in children with cerebral palsy CyberPsychology and Behavior 9 2 2006 123 128
12. G.C. Burdea, D. Cioi, J. Martin, D. Fensterheim, and M. Holenski The Rutgers arm II rehabilitation system feasibility study IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 5 2010 505 514
13. M.S. Cameirao, S.B.I. Badia, E.D. Oller, and P.F.M.J. Verschure Neurorehabilitation using the virtual reality based rehabilitation gaming system methodology, design, psychometrics, usability and validation Journal of NeuroEngineering and Rehabilitation 7 48 2010 1 14
14. H. Cao, V. Leung, C. Chow, and H. Chan Enabling technologies for wireless body area networks a survey and outlook IEEE Communications Magazine 47 12 2009 84 93
15. A. Cappozzo, U. Della Croce, A. Leardini, and L. Chiari Human movement analysis using stereophotogrammetry Part 1: theoretical background Gait and Posture 21 2 2005 186 196
16. M. Chen, S. Gonzalez, A. Vasilakos, H. Cao, and V.C. Leung Body area networks a survey Mobile Networks and Applications 16 2 2011 171 193
17. S. Choquette, M. Hamel, and P. Boissy Accelerometer-based wireless body area network to estimate intensity of therapy in post-acute rehabilitation Journal of NeuroEngineering and Rehabilitation 5 20 2008 1 11
18. Di Franco F, Tachtatzis C, Graham B, Bykowski M, Tracey DC, Timmons NF, et al. The effect of body shape and gender on wireless body area network on-body channels. In: Proceedings of the 2010 IEEE middle east conference on antennas and propagation; 2010. p. 1-3.
19. A. Duschau-Wicke, J. von Zitzewitz, A. Caprez, L. Lunenburger, and R. Riener Path control a method for Patient-Cooperative Robot-Aided gait rehabilitation IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 1 2010 38 48
20. A.M. Eid, and J.W. Wallace Accurate modeling of body area network channels using Surface-Based method of moments IEEE Transactions on Antennas and Propagation 59 8 2011 3022 3030
21. Gietzelt M, Wolf KH, Marschollek M, Haux R. Automatic self-calibration of body worn triaxial-accelerometers for application in healthcare. In: Proceedings of the 2nd international conference on pervasive computing technologies for healthcare; 2008. p. 177-80.
22. D. Gonzalez-Ortega, F. Diaz-Pernas, M. Martinez-Zarzuela, M. Anton-Rodriguez, J. Diez-Higuera, and D. Boto-Giralda Real-time hands, face and facial features detection and tracking application to cognitive rehabilitation tests monitoring Journal of Network and Computer Applications 33 4 2010 447 466
23. Guraliuc AR, Serra AA, Nepa P, Manara G, Potorti F. Detection and classification of human arm movements for physical rehabilitation. In: Proceedings of the 2010 IEEE antennas and propagation society international symposium; 2010. p. 1-4.
24. Hadjidj A, Challal Y, Li R. Toward a high-fidelity wireless sensor network for rehabilitation supervision. in: Proceedings of the IEEE 36th conference on local computer networks; 2011. p. 458-65.
25. Hadjidj A, Bouabdallah A, Challal Y. Rehabilitation supervision using wireless sensor networks. In: Proceedings of the IEEE international symposium on a world of wireless, mobile and multimedia networks; 2011. p. 1-3.
26. M. Hamel, R. Fontaine, and P. Boissy In-home telerehabilitation for geriatric patients Engineering in Medicine and Biology Magazine 27 4 2008 29 37
27. Hanson MA, Powell HC, Barth AT, Lach J, Brandt-Pearce M. Neural network gait classification for On-Body inertial sensors. In: Proceedings of the 6th international workshop on wearable and implantable body sensor networks; 2009. p. 181-6.
28. Y. Hao, and R. Foster Wireless body sensor networks for health-monitoring applications Physiological Measurement 29 11 2008 27 56
29. Harms H, Amft O, Troster G. Influence of a loose-fitting sensing garment on posture recognition in rehabilitation. In: Proceedings of the IEEE biomedical circuits and systems conference; 2008. p. 353-6.
30. Hoang DC, Tan YK, Chng HB, Panda SK. Thermal energy harvesting from human warmth for wireless body area network in medical healthcare system. In: Proceedings of the international conference on power electronics and drive systems; 2009. p. 1277-82.
31. C.C. Holmes, and N.M. Adams A probabilistic nearest neighbour method for statistical pattern recognition Journal of the Royal Statistical Society Series B 64 2 2002 295 306
32. 〈 http://www.codamotion.com 〉.
33. 〈 http://www.cs.ubc.ca/murphyk/Bayes/bnintro.html 〉.
34. 〈 http://www.qualisys.com/ 〉.
35. 〈 http://www.thisisant.com/ 〉.
36. J. Ibanez, and C. Delgado-Mata Lessons from research on interaction with virtual environments Journal of Network and Computer Applications 34 1 2011 268 281
37. IEEE standard for safety levels with respect to human exposure to radio frequency electromagnetic fields, 3 kHz to 300 gHz, IEEE Std C95.1-2005 (Revision of IEEE Std C95.1-1991); 2006. p. 1-238.
38. Jarochowski BP, Shin S, Ryu D, Kim H. Ubiquitous rehabilitation center: an implementation of a wireless sensor network based rehabilitation management system. In: Proceedings of the international conference on convergence information technology; 2007. p. 2349-58.
39. E. Jovanov, A. Milenkovic, C. Otto, and P. de Groen A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation Journal of NeuroEngineering and Rehabilitation 2 6 2005 1 10
40. Jung Y, Kang D, Kim J. Upper body motion tracking with inertial sensors. In: Proceedings of the 2010 IEEE international conference on robotics and biomimetics; 2010. p. 1746-51.
41. J.J. Kavanagh, and H.B. Menz Accelerometry: a technique for quantifying movement patterns during walking Gait & Posture 28 1 2008 1 15
42. Kifayat K, Fergus P, Cooper S, Merabti M. Body area networks for movement analysis in physiotherapy treatments. In: Proceedings of the 24th IEEE international conference on advanced information networking and applications workshops; 2010. p. 866-72.
43. J. Ko, C. Lu, M.B. Srivastava, J.A. Stankovic, A. Terzis, and M. Welsh Wireless sensor networks for healthcare Proceedings of the IEEE 98 11 2010 1947 1960
44. P. Kulkarni, and Y. Ozturk mPHASiS mobile patient healthcare and sensor information system Journal of Network and Computer Applications 34 1 2011 402 417
45. A. Kurs, A. Karalis, R. Moffatt, J.D. Joannopoulos, P. Fisher, and M. Soljacic Wireless power transfer via strongly coupled magnetic resonances Science 317 5834 2007 83 86
46. G. Kwakkel, R. van Peppen, R.C. Wagenaar, S.W. Dauphinee, C. Richards, and A. Ashburn Effects of augmented exercise therapy time after stroke a meta-analysis Stroke 35 11 2004 2529 2539
47. M.A. Lafortune Three-dimensional acceleration of the tibia during walking and running Journal of Biomechanics 24 10 1991 877 886
48. Latre B, Braem B, Moerman I, Blondia C, Reusens E, Joseph W, et al. A low-delay protocol for multihop wireless body area networks. In: Proceedings of the 4th annual international conference on mobile and ubiquitous systems: networking and services; 2007. p. 1-8.
49. B. Latré, B. Braem, I. Moerman, C. Blondia, and P. Demeester A survey on wireless body area networks Wireless Networks 17 1 2011 1 18
50. Li H, Tan J. Heartbeat driven medium access control for body sensor networks. In: Proceedings of the 1st international workshop on systems and networking support for healthcare and assisted living environments; 2007. p. 25-30.
51. L. Light, G. McLellan, and L. Klenerman Skeletal transients on heel strike in normal walking with different footwear Journal of Biomechanics 13 6 1980 477 480
52. Lim CK, Chen I, Luo Z, Yeo SH. A low cost wearable wireless sensing system for upper limb home rehabilitation. In: Proceedings of the 2010 IEEE conference on robotics, automation and mechatronics; 2010. p. 1-8.
53. Liu T, Inoue Y, Shibata K, Zheng R. Measurement of human lower limb orientations and ground reaction forces using wearable sensor systems. In: Proceedings of the international conference on advanced intelligent mechatronics; 2007. p. 1-6.
54. Lorincz K, Chen B, Challen GW, Chowdhury AR, Patel S, Bonato P, et al. Mercury: a wearable sensor network platform for high-fidelity motion analysis. In: Proceedings of the 7th conference on embedded networked sensor systems; 2009. p. 183-96.
55. S.J. Marinkovic, E.M. Popovici, C. Spagnol, S. Faul, and W.P. Marnane Energy-efficient low duty cycle MAC protocol for wireless body area networks IEEE Transactions on Information Technology in Biomedicine 13 6 2009 915 925
56. A. Milenkovic, C. Otto, and E. Jovanov Wireless sensor networks for personal health monitoring issues and an implementation Computer Communications 29 13 2006 2521 2533
57. Mitcheson PD. Energy harvesting for human wearable and implantable bio-sensors. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society; 2010. p. 3432-6.
58. T.B. Moeslund, and E. Granum A survey of computer vision-based human motion capture Computer Vision and Image Understanding 81 3 2001 231 268
59. Natarajan A, Motani M, de Silva B, Yap K, Chua KC. Investigating network architectures for body sensor networks. In: Proceedings of the 1st international workshop on systems and networking support for healthcare and assisted living environments; 2007. p. 19-24.
60. Natarajan A, de Silva B, Yap K, Motani M. To hop or not to hop: network architecture for body sensor networks. In: Proceedings of the 6th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks; 2009. p. 1-9.
61. Olivares A, Olivares G, Gorriz J, Ramirez J. A study of vibration-based energy harvesting in activities of daily living. In: Proceedings of the 4th international conference on pervasive computing technologies for healthcare; 2010. p. 1-4.
62. A. Olivares, G. Olivares, F. Mula, J. Gorriz, and J. Ramirez Wagyromag wireless sensor network for monitoring and processing human body movement in healthcare applications Journal of Systems Architecture 57 10 2011 905 915
63. B. Otal, L. Alonso, and C. Verikoukis Highly reliable energy-saving MAC for wireless body sensor networks in healthcare systems IEEE Journal on Selected Areas in Communications 27 4 2009 553 565
64. C. Otto, A. Milenkovic, C. Sanders, and E. Jovanov System architecture of a wireless body area sensor network for ubiquitous health monitoring Journal of Mobile Multimedia 1 4 2006 307 326
65. A. Pantelopoulos, and N.G. Bourbakis A survey on wearable Sensor-Based systems for health monitoring and prognosis IEEE Transactions on Systems, Man, and Cybernetics, Part C Applications and Reviews 40 1 2010 1 12
66. S. Park, and S. Jayaraman Smart textile-based wearable biomedical systems a transition plan for research to reality IEEE Transactions on Information Technology in Biomedicine 14 1 2010 86 92
67. S. Patel, H. Park, P. Bonato, L. Chan, and M. Rodgers A review of wearable sensors and systems with application in rehabilitation Journal of NeuroEngineering and Rehabilitation 9 21 2012 1 17
68. R. Perez, U. Costa, M. Torrent, J. Solana, E. Opisso, and C. Caceres Upper limb portable motion analysis system based on inertial technology for neurorehabilitation purposes Sensors 10 12 2010 10733 10751
69. Press WH, Teukolsky SA, Vetterling WT, Flannery BP. Numerical recipes in C. Cambridge; 1992.
70. D. Raskovic, and D. Giessel Dynamic voltage and frequency scaling for on-demand performance and availability of biomedical embedded systems IEEE Transactions on Information Technology in Biomedicine 13 6 2009 903 909
71. Rego P, Moreira PM, Reis LP. Serious games for rehabilitation: a survey and a classification towards a taxonomy. In: Proceedings of the 5th iberian conference on information systems and technologies; 2010. p. 1-6.
72. Ren H, Max QHM. Bioeffects control in wireless biomedical sensor networks. In: Proceedings of the 3rd annual IEEE communications society on sensor and ad hoc communications and networks; 2006. p. 896-04.
73. Ren H, Meng MQH. Rate control to reduce bioeffects in wireless biomedical sensor networks. In: Proceedings of the 3rd annual international conference on mobile and ubiquitous systems; 2006. p. 1-7.
74. M. Roantree, J. Shi, P. Cappellari, M.F. O'Connor, M. Whelan, and N. Moyna Data transformation and query management in personal health sensor networks Journal of Network and Computer Applications 35 4 2012 1191 1202
75. E. Romero, R.O. Warrington, and M.R. Neuman Energy scavenging sources for biomedical sensors Physiological Measurement 30 9 2009 35 62
76. Saito H, Watanabe T, Arifin A. Ankle and knee joint angle measurements during gait with wearable sensor system for rehabilitation. In: Proceedings of the world congress on medical physics and biomedical engineering; 2009. p. 506-9.
77. A. Sasaki, M. Shinagawa, and K. Ochiai Principles and demonstration of intrabody communication with a sensitive electrooptic sensor IEEE Transactions on Instrumentation and Measurement 58 2 2009 457 466
78. N. Saxena, A. Roy, and J. Shin Dynamic duty cycle and adaptive contention window based QOS-MAC protocol for wireless multimedia sensor networks Computer Networks 52 13 2008 2532 2542
79. Schloesser M, Schnitzer A, Ying H, Silex C, Schiek M. iSANLA: intelligent sensor and actuator network for life science applications. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society; 2008. p. 2369-72.
80. Silva HD, Afonso JA, Macedo P, Rocha LA. Design and implementation of a wireless sensor network applied to motion capture. In: Proceedings of the portuguese conference on wireless sensor networks; 2011. p. 1-8.
81. M. Soini, J. Nummela, P. Oksa, L. Ukkonen, and L. Sydanheimo Wireless body area network for hip rehabilitation system Ubiquitous Computing and Communication Journal 3 5 2008 42 48
82. Sun F, Kuo C, Griss M. PEAR: power efficiency through activity recognition (for ECG-based sensing). In: Proceedings of the 5th international conference on pervasive computing technologies for healthcare; 2011. p. 115-22.
83. H. Sveistrup Motor rehabilitation using virtual reality Journal of NeuroEngineering and Rehabilitation 1 10 2004 1 8
84. Tadayon N, Khoshroo S, Askari E, Wang H, Michel H. Power management in SMAC-based energy-harvesting wireless sensor networks using queuing analysis. Journal of Network and Computer Applications, http://dx.doi.org/10.1016/j.jnca. 2012.01.009.
85. Taparugssanagorn A, Rabbachin A, Hamalainen M, Saloranta J, Iinatti J. A review of channel modelling for wireless body area network in wireless medical communications. In: Proceedings of the 11th international symposium on wireless personal multimedia communications; 2008. p. 1-5.
86. S. Ullah, H. Higgins, B. Braem, B. Latre, C. Blondia, and I. Moerman A comprehensive survey of wireless body area networks Journal of Medical Systems 36 3 2010 1065 1094
87. Watteyne T, Auge-Blum I, Dohler M, Barthel D, AnyBody: a self-organization protocol for body area networks. In: Proceedings of the ICST 2nd international conference on BANs; 2007. p. 1-7.
88. M.S. Wegmueller, M. Oberle, N. Felber, N. Kuster, and W. Fichtner Signal transmission by galvanic coupling through the human body IEEE Transactions on Instrumentation and Measurement 59 4 2010 963 969
89. W.Y. Wong, M.S. Wong, and K.H. Lo Clinical applications of sensors for human posture and movement analysis a review Prosthetics and Orthotics International 31 1 2007 62 75
90. Ying H, Scholosser M, Schnitzer A, Leonhardt S, Schiek M. Distributed intelligent sensor network for neurological rehabilitation research. In: Proceedings of the 4th european conference of the international federation for medical and biological engineering; 2009. p. 1714-17.
91. H. Ying, M. Schlosser, A. Schnitzer, T. Schafer, M.E. Schlafke, and S. Leonhardt Distributed intelligent sensor network for the rehabilitation of parkinson's patients IEEE Transactions on Information Technology in Biomedicine 15 2 2011 268 276
92. J. Yoon, B. Novandy, C. Yoon, and K. Park A 6-DOF gait rehabilitation robot with upper and lower limb connections that allows walking velocity updates on various terrains IEEE/ASME Transactions on Mechatronics 15 2 2010 201 215
93. Zasowski T, Althaus F, Stager M, Wittneben A, Troster G. UWB for noninvasive wireless body area networks: channel measurements and results. In: Proceedings of the IEEE conference on ultra wideband systems and technologies; 2003. p. 285-289.
94. Zhang M, Sawchuk AA. A customizable framework of body area sensor network for rehabilitation. In: Proceedings of the 2nd international symposium on applied sciences in biomedical and communication technologies; 2009. p. 1-6.
95. Zhang F, Liu X, Hackworth SA, Sclabassi RJ, Sun M. In vitro and in vivo studies on wireless powering of medical sensors and implantable devices. In: Proceedings of the life science systems and applications workshop; 2009. p. 84-7.
96. Zhang F, Hackwoth SA, Liu X, Li C, Sun M. Wireless power delivery for wearable sensors and implants in body sensor networks. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society; 2010. p. 692-5.
97. H. Zhang, X. Yu, and P.V. Braun Three-dimensional bicontinuous ultrafast-charge and -discharge bulk battery electrodes Nature Nanotechnology 6 5 2011 277 281
98. Zhong L, El-Daye D, Kaufman B, Tobaoda N, Mohamed T, Liebschner M. OsteoConduct: wireless body-area communication based on bone conduction. In: Proceedings of the ICST 2nd international conference on Body area networks; 2007. p. 1-8.
99. H. Zhou, and H. Hu Human motion tracking for rehabilitation: a survey Biomedical Signal Processing and Control 3 1 2008 1 18
100. Zhou H, Hu H, Harris N. Application of wearable inertial sensors in stroke rehabilitation. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society; 2006. p. 6825-8.
101. H. Zhou, T. Stone, H. Hu, and N. Harris Use of multiple wearable inertial sensors in upper limb motion tracking Medical Engineering & Physics 30 1 2008 123 133