Smart sensors and pervasive computing for healthcare

The latest developments in the field of sensing, smart sensors, communication protocols and human machine interface, and also the aim of decreasing the health services cost and increasing the quality of the provided services create the premises for new types of interactions among health providers and people, among patients, among patients and researchers and among patients and corporations. As important components of new healthcare systems, smart sensing platforms based on wearable or smart objects solutions allow the vital signs and motor activity monitoring in patients without higher interferences in their daily activities. In this paper is presented a practical approach concerning smart sensing and embedded processing platforms as part of vital sign monitoring system for patients with limited mobility using walking aids. Several experimental results concerning cardiac and motor activity monitoring using developed platforms associated with smart objects such wheelchair are presented.

[1]  Octavian Postolache,et al.  IEEE 1451.4 embedded smart sensors architecture for wheelchair user monitoring , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[2]  Hyeju Jang,et al.  Personalized healthcare through intelligent gadgets. , 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[3]  Octavian Postolache,et al.  Modular platform architecture for fast prototyping of vital signs and motor activity monitors , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[4]  Angela Song-Ie Noh,et al.  Comparison of the Mechanisms of the Zigbee's Indoor Localization Algorithm , 2008, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing.

[5]  Octavian Postolache,et al.  Dual architecture platform for unobtrusive wheelchair user monitoring , 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[6]  R.A. Rashid,et al.  Home healthcare via wireless biomedical sensor network , 2008, 2008 IEEE International RF and Microwave Conference.

[7]  Octavian Postolache,et al.  Pervasive Sensing and M-Health: Vital Signs and Daily Activity Monitoring , 2013 .

[8]  F. Mekuria,et al.  Cloud Computing for Enhanced Mobile Health Applications , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[9]  A. El Saddik,et al.  A virtual environment with haptic feedback for the treatment of motor dexterity disabilities , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[10]  T. Beauchaine,et al.  Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology , 2001, Development and Psychopathology.

[11]  Peter C. Wright,et al.  Pervasive healthcare in lived experience: Thinking beyond the home , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

[12]  Octavian Postolache,et al.  Treat me well: Affective and physiological feedback for wheelchair users , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[13]  Octavian Postolache,et al.  Enabling telecare assessment with pervasive sensing and Android OS smartphone , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.