Paper Info
Title
Evaluation of a real-time low-power cardiorespiratory sensor for the IoT.
Abstract
A wide variety of sensors have been developed in the biomedical engineering community for telemedicine and personalized healthcare applications. However, they usually focus on sensor connectivity and embedded signal processing, at the expense of the sensing part. This observation lead to the development and exhaustive evaluation of a new ECGbased cardiorespiratory IoT sensor. In order to improve the robustness of our IoT-based sensor, we discuss in detail the influence of electrodes placement and nature. Performance assessment of our sensor resulted in a best-case sensitivity of 99.95% and a precision of 99.89% for an abdominal positioning of wet electrodes, while a sensitivity of 99.47% and a precision of 99.31% were observed using a commercialgrade dry electrodes belt. Consequently, we prove that our sensor is fit for the comfortable medical-grade monitoring of the cardiorespiratory activity in order to provide insights of patients health in a telemedicine context.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8513550
EMBC
Field
DocType
Volume
Telemedicine,Signal processing,Heart beat,Computer science,Internet of Things,Electronic engineering,Robustness (computer science),Real-time computing,Cardiorespiratory fitness
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Arthur Gatouillat1161.46
Bertrand Massot2195.55
Youakim Badr337244.59
Ervin Sejdic414625.55
Claudine Géhin523.04