Key result
Self-powered triboelectric pulse sensors match clinical references for real-time cardiovascular monitoring and premature beat detection.
Why the study?
Wearable systems capable of continuous and robust multidimensional vascular information monitoring for intelligent cardiovascular disease assessment remain limited.
Does a self-powered triboelectric pulse sensor system accurately measure cardiovascular physiological parameters compared to clinical references in human subjects?
Does a self-powered triboelectric pulse sensor system accurately measure cardiovascular physiological parameters compared to clinical references in human subjects?
A novel self-powered wearable pulse sensor provides accurate, continuous monitoring of arterial stiffness and premature beats, offering a potential tool for early cardiovascular risk evaluation.
May enable continuous wearable pulse monitoring; leaves open clinical validation for CVD assessment.
Comprehensive acquisition of multidimensional vascular information is essential for intelligent assessment and early intervention of cardiovascular diseases (CVDs), yet wearable systems capable of continuous and robust monitoring remain limited. Here, we report a self-powered triboelectric pulse sensor integrated with lightweight signal processing and physiological parameter extraction. The system captures detailed pulse waveforms and enables real-time monitoring of heart rate (HR), augmentation index (AIx), pulse transit time (PTT), pulse wave velocity (PWV), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Human-subject evaluations demonstrate strong agreement between the extracted parameters and clinical references. By comparing sensor-derived brachial-ankle PWV (baPWV) to age-dependent reference trends, the system further supports arterial stiffness assessment. Continuous waveform tracking also supports the identification of premature beats. This wearable platform combines self-powered operation, multifunctional monitoring, and robustness against environmental interference, offering a practical strategy for continuous cardiovascular health monitoring and early risk evaluation.
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Liu et al. (2026) studied Cardiovascular diseases. Self-powered triboelectric pulse sensor system vs. Clinical references was evaluated on Agreement between extracted parameters and clinical references. A self-powered triboelectric pulse sensor system demonstrated strong agreement with clinical references for real-time monitoring of cardiovascular parameters and identification of premature beats.
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