Wireless remote patient monitoring in older adults

Wireless patient monitoring systems are emerging as a low cost, reliable and accurate way of healthcare delivery. In this paper we present a wireless remote vital sign monitoring system with audio/video data transmission. Vital signs include; blood pressure (systolic and diastolic), heart rate, pulse, oxygen saturation, body temperature, lungs air volume and blood glucose level. In addition, a two-way audio/video communication link connects patients to their healthcare providers. The proposed system employs a computer-based software application that effectively incorporates current data with electronic medical record in order to enhance patient care. We evaluated this system with 10 individuals for assessing its acceptability by the users and its compatibility with other medical devices. A clinical trial with more than 30 participants aged over 65 years is also in progress at a local hospital.

[1]  R. Cook.  Exploring the benefits and challenges of telehealth. , 2012, Nursing times.

[2]  A. Sheikh,et al.  Telehealthcare for long term conditions , 2011, BMJ : British Medical Journal.

[3]  Mikael Gidlund,et al.  Wireless sensor network based E-health system: Implementation and experimental results , 2010, IEEE Transactions on Consumer Electronics.

[4]  Nigel H. Lovell,et al.  Design of a Decision-Support Architecture for Management of Remotely Monitored Patients , 2010, IEEE Transactions on Information Technology in Biomedicine.

[5]  E. Teaw,et al.  A wireless health monitoring system , 2010, 2005 IEEE International Conference on Information Acquisition.

[6]  F. J. Gonzalez-Castano,et al.  Low Cost Remote Effort Monitoring with Wearable Accelerometers , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[7]  H. Kundel,et al.  Measurement of observer agreement. , 2003, Radiology.

[8]  Balázs Benyó,et al.  An open architecture patient monitoring system using standard technologies , 2002, IEEE Transactions on Information Technology in Biomedicine.

[9]  Jan E. W. Beneken,et al.  Alarms and their limits in monitoring , 1989, Journal of Clinical Monitoring.

[10]  E.H. Shortliffe,et al.  Knowledge engineering for medical decision making: A review of computer-based clinical decision aids , 1979, Proceedings of the IEEE.