Sensors: Views of staff of a disability service organization

Journal of Personalized Medicine

Volumn 3, Issue 1, 2013, Pages 23-39

  Wolbring, Gregor ^a   Leopatra, Verlyn ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Disability service organization; Disabled people; Participatory medicine; Personalized medicine; Quantified self; Sensor

Indexed keywords

BETA ADRENERGIC RECEPTOR BLOCKING AGENT; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR;

ARTICLE; ASTHMA; CHRONIC MYELOID LEUKEMIA; CLINICAL PRACTICE; DRUG COST; DRUG MARKETING; DRUG RESPONSE; GENE MUTATION; HUMAN; HYPERTENSION; LUNG NON SMALL CELL CANCER; MEDICAL RESEARCH; PERSONALIZED MEDICINE; RISK FACTOR;

EID: 84983590302     PISSN: None     EISSN: 20754426     Source Type: Journal    
DOI: 10.3390/jpm3010023     Document Type: Article

References (62)

1. Warwick, K.; Gasson, M.; Hutt, B.; Goodhew, I.; Kyberd, P.; Andrews, B.; Teddy, P.; Shad, A. The application of implant technology for cybernetic systems. Arch. Neurol. 2003, 60, 1369-1373.
2. Corley, G. Intelligent OrthoSensor devices provide real-time reporting on the condition of your orthopaedic implant. 2011. Available online: http://medgadget.com/2011/07/intelligent-orthosensor-devices-provide-real-time-reporting-on-the-condition-of-your-orthopaedic-implant.html (accessed on 12 December 2012).
3. Ayazian, S.; Akhavan, V.A.; Soenen, E.; Hassibi, A. A Photovoltaic-driven and energy-autonomous CMOS implantable sensor. IEEE Trans. Biomed. Circ. Syst. 2012, 6, 336-343.
4. Muntjes, J.; Cleven, N.; Fassbender, H.; Urban, U.; Gortz, M.; Vogt, H.; Grafe, M.; Gottsche, T.; Penzkofer, T.; Schmitz-Rode, T. A novel fully-implantable wireless sensor system for monitoring hypertension patients. IEEE Trans. Biomed. Eng. 2012, 59, 3124-3130.
5. Thomas, C.; Roska, R.W.; Carlson, R.E. Design and development of in vivo sensor systems: The long and tortured road to a self-contained, implantable glucose sensor for diabetes management. Design. Recept. Next Gener. Biosens. Springer Ser. Chem. Sensors Biosens. 2013, 13, 213-238.
6. Daily, S. Smart Hip 'monitors real-time performance of bone implants, stimulates bone growth. 2010. Available online: http://www.sciencedaily.com/releases/2010/02/100228074141.htm (accessed on 12 December 2012).
7. Totter, A.; Bonaldi, D.; Majoe, D. A human-centered approach to the design and evaluation of wearable sensors-Framework and case study. Proceedings of 6th International Conference on Pervasive Computing and Applications (ICPCA); Port Elizabeth, South Africa, 26-28 October 2011; pp. 233-241.
8. Patel, S.; Park, H.; Bonato, P.; Chan, L.; Rodgers, M. A review of wearable sensors and systems with application in rehabilitation. J. Neuroeng. Rehabil. 2012, 9, 1-17.
9. Hung, K.; Lee, C.C.; Chan, W.M.; Choy, S.O.; Kwok, P. Development of novel wearable sensors for mobile health. Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics; Hong Kong, Shenzhen, China, 5-7 January 2012; pp.745-747.
10. Marschollek, M.; Gietzelt, M.; Schulze, M.; Kohlmann, M.; Song, B.; Wolf, K.H. Wearable sensors in healthcare and sensor-enhanced health information systems: All our tomorrows? Healthc. Inform. Res. 2012, 18, 97-104.
11. Liverud, A.E.; Vedum, J.; Fleurey, F.; Seeberg, T.M. Wearable wireless multi-parameter sensor module for physiological monitoring. Studies Health Technol. Inform. 2012, 177, 210-215.
12. Nemati, E.; Deen, M.J.; Mondal, T. A wireless wearable ECG sensor for long-term applications. IEEE Commun. Mag. 2012, 50, 36-43.
13. Cannan, J.; Hu, H. A wearable sensor fusion armband for simple motion control and selection for disabled and non-disabled users. Proceedings of the 4th Computer Science and Electronic Engineering Conference (CEEC); Essex, UK, 12-13 September 2012; pp. 216-219.
14. Steele, R.; Lo, A.; Secombe, C.; Wong, Y.K. Elderly persons perception and acceptance of using wireless sensor networks to assist healthcare. Int. J. Med. Inform. 2009, 78, 788-801.
15. Alemdar, H.; Ersoy, C. Wireless sensor networks for healthcare: A survey. Comput. Netw. 2010, 54, 2688-2710.
16. Suryadevara, N.K.; Mukhopadhyay, S.C. Wireless sensor network based home monitoring system for wellness determination of elderly. IEEE Sens. J. 2012, 12, 1965-1972.
17. Chang, Y.J.; Chen, C.H.; Lin, L.F.; Han, R.P.; Huang, W.T.; Lee, G.C. Wireless sensor networks for vital signs monitoring: Application in a nursing home. Int. J. Distr. Sens. Netw. 2012, 2012, doi:10.1155/2012/685107.
18. Castello, C.C.; Chen, R.X.; Fan, J.; Davari, A. Context aware wireless sensor networks for smart home monitoring. Int. J. Auton. Adap. Commun. Sys. 2013, 6, 99-114.
19. Arai, K. Wearable health monitoring sensor network and its application to evacuation and rescue information server system for disabled and elderly persons. Int J. Res. Rev. Comp. Sci. (IJRRCS) 2012, 3, 1633-1639.
20. Mirza, R.; Tehseen, A.; Kumar, A.V.J. An indoor navigation approach to aid the physically disabled people. Proceedings of the International Conference of Computing, Electronics and Electrical Technologies (ICCEET); Nagercoil, India, 21-22 March 2012; pp. 979-983.
21. Ramlee, R.A.; Tang, D.H.Z.; Ismail, M.M. Smart home system for Disabled People via Wireless Bluetooth. Proceedings of International Conference of System Engineering and Technology (ICSET); Bandung, Indonesia, 11-12 September 2012; pp. 1-4.
22. Han, J.; Pauwels, E.J.; de Zeeuw, P.M. Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment. IEEE Trans. Consum. Electron. 2012, 58, 255-263.
23. Lokavee, S.; Watthanawisuth, N.; Mensing, J.P.; Kerdcharoen, T. Sensor pillow system: Monitoring cardio-respiratory and posture movements during sleep. Proceedings of Biomedical Engineering International Conference (BMEiCON); Chiangmai, Thailand, 29-31 January 2012; pp. 71-75.
24. Villacorta, J.J.; Jiminez, M.I.; Val, L.; Izquierdo, A. A configurable sensor network applied to ambient assisted living. Sensors 2011, 11, 10724-10737.
25. Mocanu, S.; Mocanu, I.; Anton, S.; Munteanu, C. AmIHomCare: A complex ambient intelligent system for home medical assistance. Recent Researches in Applied Computer and Applied Computational Science, Proceedings of the 10th WSEAS International Conference on Applied Computer and Applied Computational Science; Venice, Italy, 8-10 March 2011; pp. 181-186.
26. Wu, Y.C.; Hsu, W.H.; Chang, C.S.; Yu, W.C.; Huang, W.L.; Chen, M.J. A Smart-Phone-Based Health Management System Using a Wearable Ring-Type Pulse Sensor. Mobile and Ubiquitous Systems: Computing, Networking, and Services, Proceedings of the 7th International ICST Conference; MobiQuitous 2010, Sydeny, Australia, 6-9 December 2010, Revised Selected Papers; Volume 73, pp. 409-416.
27. Fensli, R.; Pedersen, P.E.; Gundersen, T.; Hejlesen, O. Sensor acceptance model-Measuring patient acceptance of wearable sensors. Meth. Inform. Med. 2008, 47, 89-95.
28. Fensli, R.; Boisen, E. Human Factors Affecting the Patient's Acceptance of Wireless Biomedical Sensors. In Biomedical Engineering Systems and Technologies; Fred, A., Filipe, J., Gamboa, H., Eds.; Springer: Berlin, Heidelberg, Germany, 2008; pp. 402-412.
29. Bergmann, J.H.M.; McGregor, A.H. Body-worn sensor design: What do patients and clinicians want? Ann. Biomed. Eng. 2011, 39, 2299-2312.
30. Im, I.; Kim, Y.; Han, H.J. The effects of perceived risk and technology type on users 'acceptance of technologies. Inform. Manage. 2008, 45, 1-9.
31. Im, I.; Hong, S.; Kang, M.S. An international comparison of technology adoption Testing the UTAUT model. Inform. Manage. 2011, 48, 1-8.
32. Oye, N.D.; Iahad, A.; Rahim, N. The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Educ. Inform. Technol. 2012, 1, 1-20.
33. Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quart. 1989, 13, 319-340.
34. Venkatesh, V.; Morris, M.G.; Davis, G.B.; Davis, F.D.; DeLone, W.; McLean, E.; Jarvis, C.B.; MacKenzie, S.B.; Podsakoff, P.M.; Chin, W.W. User acceptance of information technology: Toward a unified view. Inform. Manage. 2003, 27, 425-478.
35. Lubrin, E.; Lawrence, E.; Zmijewska, A.; Navarro, K.F.; Culjak, G. Exploring the benefits of using motes to monitor health: An acceptance survey. Proceedings of International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies; Washington, DC, USA, 23-29 April 2006; pp. 208-208.
36. Kientz, J.A.; Hayes, G.R.; Westeyn, T.L.; Starner, T.; Abowd, G.D. Pervasive computing and autism: Assisting caregivers of children with special needs. IEEE Pervas. Comput. 2007, 6, 28-35.
37. Cemeroglu, A.P.; Stone, R.; Kleis, L.; Racine, M.S.; Postellon, D.C.; Wood, M.A. Use of a real-time continuous glucose monitoring system in children and young adults on insulin pump therapy: Patients 'and caregivers 'perception of benefit. Pediatr. Diabetes 2009, 11, 182-187.
38. Al Ameen, M.; Liu, J.; Kwak, K. Security and privacy issues in wireless sensor networks for healthcare applications. J. Med. Syst. 2012, 36, 93-101.
39. Mehta, K.; Liu, D.; Wright, M. Protecting location privacy in sensor networks against a global eavesdropper. IEEE Trans. Mobile Comp. 2012, 11, 320-336.
40. Vallejos de Schatz, C.H.; Medeiros, H.P.; Schneider, F.K.; Abatti, P.J. Wireless medical sensor networks: Design requirements and enabling technologies. Telemed. J. E-Health 2012, 18, 394-399.
41. Huang, Q.M.; Yang, X. Research on patient privacy-preservation for wireless health monitoring system. Appl. Mech. Mater. 2012, 195, 938-942.
42. Ruotsalainen, P.S.; Blobel, B.G.; Seppala, A.V.; Sorvari, H.O.; Nykanen, P.A. A conceptual framework and principles for trusted pervasive health. J. Med. Internet Res. 2012, 14, e52.
43. Gopichandran, V.; Krishna, A.K.I. Monitoring, monitoring, evaluating evaluation an ethical framework for monitoring and evaluation in public health. J. Med. Ethics 2012, 39, 31-35.
44. Townsend, D.; Knoefel, F.; Goubran, R. Privacy versus autonomy: A tradeoff model for smart home monitoring technologies. Proceedings of Engineering in Medicine and Biology Society, EMBC, Annual International Conference of the IEEE; Boston, MA, USA, 30 August-3 September 2011; pp. 4749-4752.
45. Treasury Board of Canada. What is Privacy All About in Canada? Available online: http://www.tbs-sct.gc.ca/pgol-pged/piatp-pfefvp/course1/mod1/mod1-6_e.asp (accessed on 12 December 2012).
46. Treasury Board of Canada. So, what exactly is privacy? Available online: http://www.tbs-sct.gc.ca/pgol-pged/piatp-pfefvp/course1/mod1/mod1-2-eng.asp (accessed on 12 December 2012).
47. Coughlin, J.F.; Pope, J.E.; Leedle, B.R. Old age, new technology, and future innovations in disease management and home health care. Home Health Care Manage. Prac. 2006, 18, 196-207.
48. Swan, M. Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking. Int. J. Environ. Res. Public Health 2009, 6, 492-525.
49. Dvorsky, G. The quantified self: 6 tools to help you get started. Available online: http://ieet.org/index.php/IEET/more/dvorsky20101106 (accessed on 12 December 2012).
50. Wolf, G. The quantified self. Available online: http://www.ted.com/talks/gary_wolf_the_quantified_self.html (accessed on 12 December 2012).
51. Blaze Carlson, K. The quantified self by the numbers. The National Post 2 October 2010.
52. Bloss, C.S.; Ornowski, L.; Silver, E.; Cargill, M.; Vanier, V.; Schork, N.J.; Topol, E.J. Consumer perceptions of direct-to-consumer personalized genomic risk assessments. Genet. Med. 2010, 12, 556-566.
53. Guttmacher, A.E.; McGuire, A.L.; Ponder, B.; Stefbnsson, K. Personalized genomic information: Preparing for the future of genetic medicine. Nat. Rev. Genet. 2010, 11, 161-165.
54. Keller, M.A.; Gordon, E.S.; Stack, C.B.; Gharani, N.; Sill, C.J.; Schmidlen, T.J.; Joseph, M.; Pallies, J.; Gerry, N.P.; Christman, M.F. Coriell Personalized Medicine Collaborative: A prospective study of the utility of personalized medicine. Pers. Med. 2010, 7, 301-317.
55. Swan, M. Sensor Mania! The internet of things, wearable computing, objective metrics, and the quantified self 2.0. J. Sens. Actuator Netw. 2012, 1, 217-253.
56. Honey, M.L.L.; Smith, C.; Parsons, J.; Parsons, M.; Burgess, L. Consumers 'perspectives of wireless cardiac monitoring: Results of a small New Zealand telehealth project. Health Care Inform. Rev. 2011, 15, 2-7.
57. Secombe, C.; Steele, R.; Brookes, W. Perceptions of the elderly on the use of wireless sensor networks for health monitoring. Proceedings of OzCHI (Australian Computer-Human Interaction Conference), Human Factors and Ergonomic Society of Australia (HFESA); Sydney, Australia 24-26 November 2006; pp. 55-62.
58. Coughlin, J.F.; Lau, J.; D'Ambrosio, L.A.; Reimer, B. Adult children's perceptions of intelligent home systems in the care of elderly parents. Proceedings of International Convention on Rehabilitation Engineering & Assistive Technology; Singapore, 22-26 April 2009; p. 12.
59. Steele, R.; Secombe, C.; Brookes, W. Using Wireless Sensor Networks for Aged Care: The Patient's Perspective. Proceedings of Pervasive Health Conference and Workshops; Innsbruck, Austria, 29 November-1 December 2006; pp. 1-10.
60. Demiris, G.; Rantz, M.J.; Aud, M.A.; Marek, K.D.; Tyrer, H.W.; Skubic, M.; Hussam, A.A. Older adults'attitudes towards and perceptions of smart home'technologies: A pilot study. Inform. Health Social Care 2004, 29, 87-94.
61. Beach, S.; Schulz, R.; Downs, J.; Matthews, J.; Barron, B.; Seelman, K. Disability, age, and informational privacy attitudes in quality of life technology applications: Results from a national web survey. ACM Trans. Access. Comput. 2009, 2, Article 5.
62. Wild, K.; Boise, L.; Lundell, J.; Foucek, A. Unobtrusive in-home monitoring of cognitive and physical health: Reactions and perceptions of older adults. J. Appl. Gerontol. 2008, 27, 181-200.