Development of IoT-based personal emergency alert system using electrocardiogram (ECG) signal

Mohd Rasdi, Ahmad Firdaus (2022) Development of IoT-based personal emergency alert system using electrocardiogram (ECG) signal. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, a lot of health cases related to heart failure such as cardiac arrest because peoples’ today health condition are not great leading to various disease. The cardiac arrest is the abrupt loss of heart function in a person who may not been diagnosed with heart disease and it can come on at unexpected time. There are a lot of junk food product produced by food and beverage business. People are eating the junk food a lot and prevent healthy food such as vegetables or fiber. When government announced the Malaysia Movement Control Order or stay at home for everyone, people has been unfit since they are unable to go for exercise or any sports to prevent pandemic disease from being spread. The amount of unfit and old people living alone at home increasing rapidly because of social isolation and loneliness. The Electrocardiogram (ECG) are the major focus of health community to observe and monitor people’s pulse to acknowledge their health status. The Electrocardiogram (ECG) signal can be used out of hospital by connecting to microcontroller module and with wireless communication tools, the new device can be innovated through studies and helps the community. With this, a studies and research been made on how we can use the electrocardiogram (ECG) signal for unfit young people and old people living alone at home through reading past conference paper and article related. After that, a development of the Personal Emergency Alert System using Electrocardiogram (ECG) signal using Internet of Things (IoT) been made.Then, the efficiency of the project being tested in order to prevent any accident and gives benefit to health community and people who needed it the most. This project consist the push button assimulate the Electrocardiogram (ECG) signal and streamed the result to a Blynk application on smartphone to analyse the health status of a person and option for caretaker to seek for medical attention if anything happens.

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