Telemedicine & Telecare aided by wireless sensor network (WSN) has recently become a health-caring trend in the future. However, the low data rate of WSN limited the acceptable quality of service. Researches [1-6] adopted ZigBee-based WSN to implement a platform and/or a telecare system. However, the capacity problem due to low data rate characteristic has not been addressed. Our research proposed an arrhythmia-aware telecare system and a new DSPbased WSN platform, enabling good digital signal processing performance in ZigBee-based WSN. Proved by simulations and several real tests, combination of the proposed platform and system can provide a more bandwidth-conserving and reliable telecare system, with lower wireless traffic jam and higher stability.

This letter presents the design and implementation of a LoRabased 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.