An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring

Nowadays the continuous growing in global population and the related increase of life expectancy lead to explore new ways of making the most of the limited resources humanity has. This endeavor challenges especially the current health care of elderly population, which is particularly associated with a marked prevalence of chronic neurological disorders such as Parkinson’s Disease. Internet of Things and wearable technologies have opened up a new revolution in the domain of healthcare. Minimizing the response time in diagnosis and treatment, Internet of Things thrives towards omnipresence of the healthcare services. Using wearable devices, the lifestyle data is collected from multifarious sources, which is then accumulated, analyzed and acted upon. The emerging technological area of Wearable Sensors and the Internet of Things seems to provide a smart and intelligent way of catering ubiquitous healthcare services to the elderly population, taking healthcare facilities to a higher dimension of omnipresence. © 2016, IUPESM and Springer-Verlag Berlin Heidelberg.