Publication

Abstract : Ubiquitous penetration of Internet-of-Things (IoT) devices is promising to be an enabler in taking healthcare services to needy patients even in remote regions. In this paper, we present our wearable IoT remote health monitoring system that includes a photoplethysmograph (PPG) based device to measure physiological parameters such as pulse rate, blood oxygen, and respiratory rate (RR). We have conducted a pilot study of our system on 25 patients, and we report the comparative performance of different techniques for deriving RR from PPG signals. The best performing algorithms achieved a mean absolute error of 0.58 breaths/min, which exhibits the potential of PPG based sensors for automated detection of many cardiovascular and pulmonary diseases, particularly, pneumonia, sleep apnea, and acute respiratory distress syndrome.