Abstract
Nearly 30% of the people in the rural areas of Bangladesh are below the poverty level. Moreover, due to the unavailability of modernized healthcare-related technology, nursing and diagnosis facilities are limited for rural people. Therefore, rural people are deprived of proper healthcare. In this perspective, modern technology can be facilitated to mitigate their health problems. ECG sensing tools are interfaced with the human chest, and requisite cardiovascular data is collected through an IoT device. These data are stored in the cloud incorporates with the MQTT and HTTP servers. An innovative IoT-based method for ECG monitoring systems on cardiovascular or heart patients has been suggested in this study. The ECG signal parameters P, Q, R, S, T are collected, pre-processed, and predicted to monitor the cardiovascular conditions for further health management. The machine learning algorithm is used to determine the significance of ECG signal parameters and error rate. The logistic regression model fitted the better agreements between the train and test data. The prediction has been performed to determine the variation of PQRST quality and its suitability in the ECG Monitoring System. Considering the values of quality parameters, satisfactory results are obtained. The proposed IoT-based ECG system reduces the health care cost and complexity of cardiovascular diseases in the future.
Highlights
IoT concept can be utilized in versatile areas such as intelligent health care system, intelligent agriculture, environmental impact predictions, automation industries, etc. [1, 2, 3, 4]
World Health Organization (WHO) [5] mentions that the uncertainty of health conditions is a widespread problem for aged people
We have created and executed an ECG monitoring system that is entirely based on current IoT technologies
Summary
IoT concept can be utilized in versatile areas such as intelligent health care system, intelligent agriculture, environmental impact predictions, automation industries, etc. [1, 2, 3, 4]. Aged people need to check their health conditions very frequently, especially for senior cardiovascular patients. Existing cardiovascular diagnosis systems need to be improved, including modern technology to detect the heart condition in a low cost, accurate and timely manner [6, 7]. Rather than IoT, Cyber-Physical systems (CPS) can be considered as data-centric technology. CPS integrates innovative functionality processes that facilitate communication, computation, and control through IoT [9]. It contributes to an advanced intelligence system that significantly affects social life [10]. CPS concept can be activated through Micro Electromechanical Systems for networking in monitoring, computing, and controlling the physical world
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