An Arterial Compliance Measuring Wristwatch with Flexible Tactile Sensing Dense-Array

This paper reports a wristwatch to measure the arterial compliance (AC) for the first time. A flexible tactile sensing dense-array is integrated in a wireless watch. The dense-array consists of 29 ultra-small pressure sensing chips, enabling high-resolution tactile perception. Because the AC is a property about vascular elasticity and distensibility, the watch senses the pressure distribution on the radial artery, and records the pressure distribution matrixes (PDM) under different external stresses. Subsequently, a deep learning model is employed to fit the regression relationship between the PDM changes and the AC degree, so that the AC would be assessed non-invasively and unobtrusively. Eventually, the root mean squared error (RMSE) and mean absolute error (MAE) of the predicted results reach 0.123 and 0.098 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>/kPa, respectively, which are superior to all the previous works.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/transducers61432.2025.11109571
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
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article

An Arterial Compliance Measuring Wristwatch with Flexible Tactile Sensing Dense-Array

Yemin Dong, Tiger H. Tao, Xiaoyuan Xia, Yi Sun‡ et al.
1 citations
Advanced Sensor and Energy Harvesting Materials
0.67
article

An Arterial Compliance Measuring Wristwatch with Flexible Tactile Sensing Dense-Array

Yemin Dong, Tiger H. Tao, Xiaoyuan Xia, Yi Sun‡, Ke Sun, Xinxin Li, Fang Wang, Hao Yu, Heng Yang, Yunhao Wang, Yue He
article en
1 citations

Abstract

This paper reports a wristwatch to measure the arterial compliance (AC) for the first time. A flexible tactile sensing dense-array is integrated in a wireless watch. The dense-array consists of 29 ultra-small pressure sensing chips, enabling high-resolution tactile perception. Because the AC is a property about vascular elasticity and distensibility, the watch senses the pressure distribution on the radial artery, and records the pressure distribution matrixes (PDM) under different external stresses. Subsequently, a deep learning model is employed to fit the regression relationship between the PDM changes and the AC degree, so that the AC would be assessed non-invasively and unobtrusively. Eventually, the root mean squared error (RMSE) and mean absolute error (MAE) of the predicted results reach 0.123 and 0.098 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>/kPa, respectively, which are superior to all the previous works.

Chinese Academy of Sciences (CN), State Key Laboratory of Transducer Technology (CN), Shanghai Institute of Microsystem and Information Technology (CN)
Openalex Percentile: Top 28%
Advanced Sensor and Energy Harvesting Materials
0.67
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An Arterial Compliance Measuring Wristwatch with Flexible Tactile Sensing Dense-Array — Yemin Dong, Tiger H. Tao, et al. · (2025) | TGRS Research Map | TGRS