IoT Based Vital Signs Monitoring with Fall Detection System

作者
Noor Abdullah Waleed,Mohammed Sabah Jarjees
标识
DOI:10.1109/icesat58213.2023.10347289
摘要

As healthcare spending continues to rise, continuous monitoring in the home becomes increasingly critical for enhancing patient outcomes and lowering costs. Therefore, Vital signs monitor with a fall detection system based on IoT help to address this issue. The design and implementation of a Vital signs monitor system (VSMS) with fall detection (FD) system based on IoT (Blynk application) is presented in this paper. Various vital signs, including heart rate, the saturation of oxygen in the peripheral blood (SpO2), are measured by the designed system, which uses the MPU6050 sensor to detect falls. The collected data is transmitted to the Blynk application for visualization and analysis. Continuous monitoring of vital signs and fall detection, which is crucial for elderly and chronically ill patients, is provided by the proposed system. The results showed that the proposed FDs were successful in monitoring the vital signs of elderly patients with a fall detection accuracy of 93.4%. The healthcare sector is rapidly transformed by the Internet of Things (IoT) enabling continuous monitoring of patients' health conditions, with vital signs monitoring and fall detection systems being two important applications of IoT in healthcare.

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