An IoT-Enabled Wearable Health Monitor for Synchronized ExG, PPG, and BioZ Measurement

作者：Hao Li, Tianxiang Qu, Liheng Liu, Yuying Li, Zhiliang Hong, Jiawei Xu · 发表于：IEEE Transactions on Instrumentation and Measurement · 年份：2025 · DOI：10.1109/tim.2025.3552863 · 被引用次数：6 · 研究领域：Non-Invasive Vital Sign Monitoring

The multimodal wearable health monitor is designed for patients with chronic conditions and leverage edge data preprocessing for efficiency. It supports a variety of use cases: a brain monitoring headband for measuring electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), a chest health patch for sensing electrocardiogram (ECG), RR intervals (RRIs), bioimpedance (BioZ), and photoplethysmogram (PPG), and a fitness legband for recording electromyography (EMG) and PPG. Similar devices can also be connected to a body sensor network (BSN) for comprehensive health monitoring. The system includes a flexible PPG sensor and a data acquisition (DAQ) board with integrated BioZ and biopotential channels. They feature a low input-referred noise level of 25 pArms (BW =10 Hz),$6.06~\Omega _{\text {rms}}$(BW =0.05–4 Hz), and$0.77~\mu $Vrms (BW =0.05–150 Hz). The multimodal health monitor consumes 30.4 mW of power and can operate continuously for 36 h. The flexible sensor, with a 1-cm diameter and a bending radius of$66.6~\mu $m, conforms to the skin for versatile detection. Edge data preprocessing and offloading tasks to the PC help reduce data redundancy and latency. The overall platform enables remote real-time monitoring, historical data queries, and email alerts. The results indicate that the average correlation of EEG signals was 96.21% in the eyes-open and eyes-closed tests, and the alpha rhythm was clear. During the breath-holding test, the SpO2 level changed...