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This paper presents a cutting-edge approach for remotely collecting and transmitting crucial medical data for a Wireless Body Area Network (WBAN) technology integrated with the Internet of Medical Things (IoMT). At first, a prototype system was devised, which employs a Mosquitto server for seamless data transfer, a Node-red for debugging, and a Gadgetbridge for real-time data acquisition from a Mi Band 5 and stored in a database website called MediData. MediData encompasses medical history and vital parameters such as glucose rate and ECG report. This system allows the data to route the data to hospital servers for prompt analysis and action. The proposed WBAN technology eliminates the need for physical records and offers convenience and comfort for patients. Additionally, the integration of Smart ambulances further enhances the precision and velocity of data transmission to medical personnel. After going through several cross-validation models, finally obtained the best accuracy of 86% using the K-Nearest Neighbors method, while Random Forest shows comparatively better generalization with a lower cross-validation error of 24.75%. Findings from this work demonstrate the tremendous potential of WBAN technology, revolutionizing the way medical data is collected and analyzed in conjunction with IoMT for efficient and accurate medical data management.
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Sabil et al. (2024) studied this question.
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