Performance Improvization in Health Care Support using Dynamic Sensor Network For Telemedicine Assistance and ECG Analysis of Feature Extracted Critical Components of Diabetic Patients

Abstract

People are suffering from chronic diseases like diabetes which has a threat of sudden and unexpected attack in the current healthcare scenario. So, continuously monitoring the vital parameters of the patients became necessary. The proposed system is an emergency telemedicine healthcare support which is used for continuous Electrocardiogram (ECG) signal monitoring, Heartbeat (pulse) along with vital parameters monitoring which will help preventing and alerting about cardiac problems in diabetic patients. This system uses GSM with IoT implementation. This system detects the abnormality in the monitoring system. The ECG signal is processed in the processor to count the heartbeat for one minute. The parameters of some critical components are obtained and processed. The feature extracted from the critical components were values of essential peaks and they were received as analog waveform at receiving end (doctor’s device). If any abnormality is detected in the ECG signal, an SMS with a link consisting of patient details are sent to the doctor through GSM modem. The is mainly based on wireless sensor networks in which a group of sensors is taken and processed using a processor. It helps to take the appropriate protective measures by the doctor. It is a real- time system intended to use for telemedicine application.