Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 308 AISC, Number VOLUME 1, Bhubaneswar, p.779-786 (2015)

ISBN:

9788132220114

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906931504&partnerID=40&md5=23df323db3de0d4e50dcc3455a8e6e05

Keywords:

Blood, Blood oxygen saturation, Body temperature, Crucial parameters, Electrocardiography, health, Health parameters, Hospitals, Intelligent computing, Oximeters, Patient monitoring, Patient monitoring systems, pulse oximetry, SpO2, temperature, Three parameters, Wheelchairs

Abstract:

<p>The most common and serious problem that the elderly suffers due to old age is their degrading health conditions that restrict their ability to perform life activities. Most of them require wheelchair to move even within their residence. According to WHO, there are about 1 % of world population that require wheelchair for mobility. People with debility in moving from one location to another are either bedridden or depend upon the wheelchair. An elder, dependent on wheelchair, often requires regular health check-up to keep track of their health status, and it is very difficult for them to have frequent visits to hospitals. Wheeled patient monitoring system (WPMS), in such a situation, is a system that continuously monitors the health condition of the patient by measuring body temperature, blood oxygen saturation in blood and heart rate. These three parameters are the crucial parameters of a body and help the doctor to diagnose easily. WPMS constantly monitors health parameters and identifies critical situations to inform physicians and healthcare centres so that the users are taken care at the earliest. The system can be easily attached to or detached from the wheel chair. WPMS can also be used by patients at hospitals. © Springer India 2015.</p>

Notes:

cited By 0; Conference of 1st International Conference on Intelligent Computing, Communication and Devices, ICCD 2014 ; Conference Date: 18 April 2014 Through 19 April 2014; Conference Code:107335

Cite this Research Publication

R. K. Megalingam, Veliyara, P. S., Prabhu, R. M., Krishna, R. R., and Katoch, R., “Wheeled Patient Monitoring System”, Advances in Intelligent Systems and Computing, vol. 308 AISC, pp. 779-786, 2015.