Wearable Multi-Channel Pulse Signal Acquisition System Based on Flexible MEMS Sensor Arrays with TSV Structure
-
Published:2023-05-18
Issue:2
Volume:8
Page:207
-
ISSN:2313-7673
-
Container-title:Biomimetics
-
language:en
-
Short-container-title:Biomimetics
Author:
Kang Xiaoxiao123, Huang Lin123, Zhang Yitao123ORCID, Yun Shichang1, Jiao Binbin12, Liu Xin123, Zhang Jun123, Li Zhiqiang123, Zhang Haiying123
Affiliation:
1. Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China
Abstract
Micro-electro-mechanical system (MEMS) pressure sensors play a significant role in pulse wave acquisition. However, existing MEMS pulse pressure sensors bound with a flexible substrate by gold wire are vulnerable to crush fractures, leading to sensor failure. Additionally, establishing an effective mapping between the array sensor signal and pulse width remains a challenge. To solve the above problems, we propose a 24-channel pulse signal acquisition system based on a novel MEMS pressure sensor with a through-silicon-via (TSV) structure, which connects directly to a flexible substrate without gold wire bonding. Firstly, based on the MEMS sensor, we designed a 24-channel pressure sensor flexible array to collect the pulse waves and static pressure. Secondly, we developed a customized pulse preprocessing chip to process the signals. Finally, we built an algorithm to reconstruct the three-dimensional pulse wave from the array signal and calculate the pulse width. The experiments verify the high sensitivity and effectiveness of the sensor array. In particular, the measurement results of pulse width are highly positively correlated with those obtained via infrared images. The small-size sensor and custom-designed acquisition chip meet the needs of wearability and portability, meaning that it has significant research value and commercial prospects.
Funder
Chinese Academy of Sciences National Science and Technology Major Project
Subject
Molecular Medicine,Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biotechnology
Reference40 articles.
1. A New Mathematical Model of Wrist Pulse Waveforms Characterizes Patients with Cardiovascular Disease—A Pilot Study;He;Med. Eng. Phys.,2017 2. A Sensor-Based Wrist Pulse Signal Processing and Lung Cancer Recognition;Zhang;J. Biomed. Inform.,2018 3. Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension;Moura;J. Acupunct. Meridian Stud.,2016 4. Wang, G., Geng, X., Kang, X., Zhang, Y., Zhang, J., and Zhang, H. (2022). A Novel Radial Artery P-S Curve Model Based on Radial Vibration of Vascular Wall. Appl. Sci., 12. 5. Liu, Z.-D., Liu, J.-K., Wen, B., He, Q.-Y., Li, Y., and Miao, F. (2018). Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals. Sensors, 18.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|