A prototype wearable device integrating ECG, PPG, and bioimpedance sensors successfully synchronized signals in healthy volunteers, demonstrating the feasibility of non-invasive vascular monitoring.
Does a multi-sensor wearable device integrating ECG, PPG, and bioimpedance enable feasible non-invasive vascular monitoring in healthy volunteers?
A prototype wearable device integrating ECG, PPG, and bioimpedance sensors demonstrated feasible signal synchronization in healthy volunteers, representing an early step toward continuous, non-invasive screening for peripheral artery disease.
Peripheral artery disease is a chronic circulatory disorder that is manifested by narrowing or obstruction of peripheral arteries, mainly lower limbs. Early diagnosis is crucial to avoid severe complications: critical limb ischemia, myocardial infarction, and stroke. However, these diagnostic methods require clinical setups and trained professionals for their operation, limiting accessibility during early or continuous screening. This paper proposes the design and prototype implementation of a wearable device for early PAD detection based on multi-sensor data fusion. The system is integrated with Electrocardiogram (ECG), Photoplethysmogram (PPG), and bioimpedance sensors to monitor vascular health continuously. With this setup, Pulse transit time (PTT) and Pulse wave velocity (PWV) are computed as surrogate markers of arterial stiffness, and simultaneous bioimpedance data complement vascular tone information. The microcontroller-based system (ESP32) performs real-time data acquisition, pre-processing, and wireless transmission via Bluetooth Low Energy (BLE) to a mobile application for visualization. Preliminary tests on healthy volunteers confirm successful synchronization of ECG and PPG signals, demonstrating the feasibility of non-invasive vascular monitoring. Future work includes the machine-learning-based PAD stage classification and clinical validation. A cost-effective, portable, continuous monitoring solution is provided by the proposed device, which can be used for early diagnosis and management of PAD.
K et al. (Mon,) conducted a other in Peripheral artery disease. Wearable device integrating ECG, PPG, and bioimpedance sensors was evaluated on Synchronization of ECG and PPG signals (feasibility of non-invasive vascular monitoring). A prototype wearable device integrating ECG, PPG, and bioimpedance sensors successfully synchronized signals in healthy volunteers, demonstrating the feasibility of non-invasive vascular monitoring.