Wearable Sensors, 2nd Edition

Chapter 13: Data analytics for wearable IoT-based telemedicine

Nicholas Constant^a; Gozde Cay^a; Vignesh Ravichandran^a; Rassoul Diouf^a; Umer Akbar^b; Kunal Mankodiya^a    a University of Rhode Island, Electrical, Computer & Biomedical Engineering, Kingston, RI, USA^b Department of Neurology, Brown University and Rhode Island Hospital, Providence, RI, USA

Abstract

This book chapter is a tutorial-driven hands-on guide on data analytics for wearable sensor signals. The chapter takes an example of smart gloves integrated with flex/bend sensors on fingers measuring the angular movement of the knuckles. The gloves are designed to measure the motor symptoms of Parkinson’s disease. The movements of the fingers are converted into time-series signals ...