Biosignal Monitoring Platform Using Wearable IoT

Abstract

Thanks to the IoT technology advancement and wearable devices, the healthcare industry is shifting ahead to a brighter future. In this paper, we present a Wi-Fi and battery powered wearable IoT system to monitor patient's Biosignal from anywhere at any time through an IP based network. The system is unique as it is composed of a 2 or/and 8 channel electrodes to measure ECG and EMG signals with a sampling frequency fixed at 1 KHz, an analog front-end (AFE) compliant with the IEEE 802.11 standard, a microcontroller for data processing and transmission, and a power management unit. The prototype operates at 2.4 GHz, 3.3v. The transceiver consumes very low power in arrange of 9mW, has a communication range between 20m and 100m, a data-rate of 128 kB/s, a latency of 1.2ms, equipped with Advanced Encryption Standard (AES) for realtime data encryption and has a high common-mode rejection ratio (CMRR). Experimental test result demonstrates that our developed prototype has a better performance than state of the art systems.

Keywords

• Sensor Networks
• Internet of Thing
• Health Monitoring
• EMG
• Biosignal Processing
• Wi-Fi