Monitoring of driver’s biomedical signals using LoRa-based wireless communications

Abstract

This letter presents the design and implementation of a LoRa-based wireless communication system aimed at monitoring of driver’s biomedical signals in the car environments. The proposed system is composed of a sensor node, a LoRa gateway, and a cloud server. Each sensor node includes four parts as microcontroller unit, data collection unit, wireless communication unit, and supplied power unit. The microcontroller unit is mainly designed as the signal processing module to deal with the detection of abnormal ECG symptom such as left bundle branch block (LBBB), which is the most common symptoms of myocardial infarction. The data collection unit contains a sequential stage of the instrumentation amplifier and the filter blocks. The notification of LBBB detection is then transmitted to the LoRa gateway by wireless communication unit. The LoRa gateway with multiple wireless interfaces is designed to collect the information from the sensor node to transmit to cloud server. The experimental results are conducted to evaluate the detection performance of LBBB by means of MIT-BIH arrhythmia database.