Key result
A Smart Wearable System using IoT, ECG, 3D-Accelerometer, and GPS was developed to continuously monitor patient health parameters and detect fall or collapse incidents in real time.
Why the study?
Achieving better healthcare technology is hindered by issues with connectivity, speed, and continuous monitoring by physicians.
The proposed IoT-based wearable system enables continuous remote monitoring of heart rate and movement, potentially preventing critical incidents like falls or collapses.
May facilitate remote cardiac monitoring with fall detection; leaves open validation in prospective trials.
Due to the majority population of the earth is now connected online, our healthcare technology needs to keep on track with it. But the things that keep blocking our way to achieving better healthcare technology are connectivity, speed, and continuous monitoring from the doctors. The objective of this study is to develop a system for continuously recording and monitoring patient health parameters. The concerned doctor and the medical assistant can receive the information via the Internet. The patient's heart rate and movement are measured in this paper. ECG, 3D-Accelerometer, and GPS sensors are employed. The information can be uploaded to the cloud for additional review and recording. Another option is to implement a system that notifies the physician or medical assistant. To facilitate remote health monitoring via the Internet, remote health monitoring systems could be developed to gather data that can be analyzed by doctors who are in charge of monitoring the patient in case of a fall/collapse incident. It was suggested to use an IoT system to develop a Smart Wearable System (SWS) for tracking health. To provide a connection for the monitoring process, a WIFI shield is fixed to it. The outcome of this study can have a significant impact on the healthcare sector because it demonstrates the ability to prevent a critical incident in real time.
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Seman et al. (2022) studied Health monitoring. Smart Wearable System (SWS) using IoT, ECG, 3D-Accelerometer, and GPS was evaluated on Development of a remote health monitoring system. A Smart Wearable System using IoT, ECG, 3D-Accelerometer, and GPS was developed to continuously monitor patient health parameters and detect fall or collapse incidents in real time.
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