Flexible Piezoresistive Sensor Patch Enabling Ultralow Power Cuffless Blood Pressure Measurement

Noninvasive and real‐time cuffless blood pressure (BP) measurement realizes the idea of unobtrusive and continuous BP monitoring which is essential for diagnosis and prevention of cardiovascular diseases associated with hypertension. In this paper, a wearable sensor patch system that integrates flex...

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Veröffentlicht in:Advanced functional materials 2016-02, Vol.26 (8), p.1178-1187
Hauptverfasser: Luo, Ningqi, Dai, Wenxuan, Li, Chenglin, Zhou, Zhiqiang, Lu, Liyuan, Poon, Carmen C. Y., Chen, Shih-Chi, Zhang, Yuanting, Zhao, Ni
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Sprache:eng
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Zusammenfassung:Noninvasive and real‐time cuffless blood pressure (BP) measurement realizes the idea of unobtrusive and continuous BP monitoring which is essential for diagnosis and prevention of cardiovascular diseases associated with hypertension. In this paper, a wearable sensor patch system that integrates flexible piezoresistive sensor (FPS) and epidermal electrocardiogram (ECG) sensors for cuffless BP measurement is presented. By developing parametric models on the FPS sensing mechanism and optimizing operational conditions, a highly stable epidermal pulse monitoring method is established and beat‐to‐beat BP measurement from the ECG and epidermal pulse signals is demonstrated. In particular, this study highlights the compromise between sensor sensitivity and signal stability. As compared with the current optical‐based cuffless BP measurement devices, the sensing patch requires much lower power consumption (3 nW) and is capable of detecting subtle physiological signal variations, e.g., pre and postexercises, thus providing a promising solution for low‐power, real‐time, and home‐based BP monitoring. A wearable sensor patch that integrates a flexible piezoresistive sensor and epidermal electrocardiogram sensors is demonstrated for extracting real‐time beat‐to‐beat blood pressure (BP) through a pulse transit time method. This sensing patch requires ultralow power consumption (3 nW) and is capable of detecting subtle physiological signal variations, e.g., pre‐ and post‐exercises, thus providing a promising solution for real‐time and home‐based BP monitoring.
ISSN:1616-301X
1616-3028
DOI:10.1002/adfm.201504560