Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : HIMS 2015, International Conference on Health Informatics and Medical Systems
Source : HIMS 2015, International Conference on Health Informatics and Medical Systems (2015)
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2015
Abstract : Wearable ECG devices are used in combination with smartphones to capture, analyze and transmit ECG data to far away hospitals where doctors analyze, diagnose and provide necessary patient feedback. ECG electrode cable misplacement is a significant challenge when untrained patients use them, especially among rural population. Lead misplacement algorithms exists for standard ECG electrode positioning, but poses different challenges for Mason-Likar placement, which is most suited for ambulatory ECG measurements. We discuss ECG morphology based lead misplacement detection algorithms for Mason-Likar configuration, that can provide immediate feedback to patients.
Cite this Research Publication : Rahul K Pathinarupothi, “Immediate Lead Positioning Feedback for ML based Wireless ECG”, in HIMS 2015, International Conference on Health Informatics and Medical Systems, 2015.