Performance improvisation using IOT based sensor network in telemedicine assistance by electrocardiogram signal analysis for diabetes healthcare
Introduction and Aim: People are suffering from chronic diseases like diabetes, which may lead to unanticipated death in many pathetic situations. Therefore, constant follow-up of the essential factors of health turn out to be crucial. The proposed system is an emergency telemedicine healthcare support, which is used for continuous electrocardiogram (ECG) signal monitoring, along with the essential parameters like heartbeat, temperature, etc., which help in diagnosing and make aware on cardiac complications in diabetic patients. Here internet of thing technology helps a lot. This system finds the deviations in the parameters being monitored.
Materials and Methods: The ECG signal is processed in the processor to calculate the heartbeat per minute. The parameters of critical components are obtained and processed.
Results: The features extracted from the critical components were values of required peaks, which were sent as raw waveform to 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.
Conclusion: It enables the doctors to give appropriate medication and care to the patient on time.
Keywords: Cardiac health monitoring; diabetic patients; Internet of Things (IoT); GSM; vital biological parameters.
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