A Novel Stable and High-Fidelity T-Structured Pulse Sensing System for Human Health Assessment

被引:0
作者
Yang, Jie [1 ]
Wu, Fangke [2 ]
Qie, Ao [2 ]
Li, Qiuping [3 ]
Wang, Xin'an [2 ]
Zhang, Xing [2 ,3 ]
机构
[1] Peking Univ, Sch Software & Microelect, Beijing 100871, Peoples R China
[2] Peking Univ, Shenzhen Grad Sch, Key Lab Integrated Microsyst, Shenzhen 518055, Peoples R China
[3] Peking Univ, Sch Integrated Circuits, Beijing 100871, Peoples R China
关键词
Health assessment; pulse sensing system; traditional Chinese medicine (TCM); T-structured pulse sensor; BLOOD-PRESSURE;
D O I
10.1109/JSEN.2024.3399817
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, pulse signals have become increasingly important in healthcare, such as cardiovascular disease diagnosis. However, there exists no commonly acknowledged pulse sensing system that simultaneously features stability, accuracy, convenience, and cost efficiency. To address this problem, we present a novel pulse sensing system for human health assessment. The system consists of a T-structured pulse sensor, a circuit system, and a host. Specifically, our sensor has a higher signal-to-noise ratio (SNR) compared with similar sensors and can be scaled equally, enabling it to greatly reduce the system complexity and cost. Experiments have shown that the pulse signal measured by our system is not only stable, and high fidelity, but also it is suitable for medical assessment, like arrhythmia detection. Furthermore, our system can also perform accurate measurements under different pressures, akin to the pulse diagnosis technique used in traditional Chinese medicine (TCM). In conclusion, the T-structured pulse sensing system shows great potential for medical and healthcare applications.
引用
收藏
页码:21458 / 21465
页数:8
相关论文
共 16 条
  • [1] Benz M., 2002, Ph.D. thesis
  • [2] Cuimin Z., 2006, P INT FOR INN DEV SI, P261
  • [3] A Novel Equivalent Time Sampling-Based Method for Pulse Transit Time Estimation with Applications into the Cardiovascular Disease Diagnosis
    Fiori, Giorgia
    Fuiano, Fabio
    Conforto, Silvia
    Sciuto, Salvatore Andrea
    Scorza, Andrea
    [J]. SENSORS, 2023, 23 (11)
  • [4] Wrist pulse signal acquisition and analysis for disease diagnosis: A review*
    Guo, Chaoxun
    Jiang, Zhixing
    He, Haoze
    Liao, Yining
    Zhang, David
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 143
  • [5] Wearable Multi-Channel Pulse Signal Acquisition System Based on Flexible MEMS Sensor Arrays with TSV Structure
    Kang, Xiaoxiao
    Huang, Lin
    Zhang, Yitao
    Yun, Shichang
    Jiao, Binbin
    Liu, Xin
    Zhang, Jun
    Li, Zhiqiang
    Zhang, Haiying
    [J]. BIOMIMETICS, 2023, 8 (02)
  • [6] Method for continuous nondisturbing monitoring of blood pressure by magnetoelastic skin curvature sensor and ECG
    Kaniusas, Eugenijus
    Pfuetzner, Helmut
    Mehnen, Lars
    Kosel, Juergen
    Tellez-Blanco, Juan Carlos
    Varoneckas, Giedrius
    Alonderis, Audrius
    Meydan, Turgut
    Vazquez, Manuel
    Rohn, Michael
    Merlo, Alberto M.
    Marquardt, Bernd
    [J]. IEEE SENSORS JOURNAL, 2006, 6 (03) : 819 - 828
  • [7] Development of a novel wrist pulse system for early diagnosis of pathogenic bacterial infections using optimized feature selection with machine learning approaches
    Kumar, Sachin
    Veer, Karan
    Kumar, Sanjeev
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 87
  • [8] Machine learning-based evaluation of application value of traditional Chinese medicine clinical index and pulse wave parameters in the diagnosis of polycystic ovary syndrome
    Lim, Jiekee
    Li, Jieyun
    Feng, Xiao
    Feng, Lu
    Xiao, Xinang
    Xia, Yumo
    Wang, Yiqin
    Qian, Lin
    Yang, Hong
    Xu, Zhaoxia
    [J]. EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE, 2023, 64
  • [9] Machine learning classification of polycystic ovary syndrome based on radial pulse wave analysis
    Lim, Jiekee
    Li, Jieyun
    Feng, Xiao
    Feng, Lu
    Xia, Yumo
    Xiao, Xinang
    Wang, Yiqin
    Xu, Zhaoxia
    [J]. BMC COMPLEMENTARY MEDICINE AND THERAPIES, 2023, 23 (01)
  • [10] Sakoe H., 1971, Proceedings of the 7th International congress on acoustics, P65