Chinese Journal of Lasers, Volume. 51, Issue 9, 0907016(2024)

Graphene‐based Flexible Biosensing Technology and Wearable Precision Medical‐Health‐Monitoring Application

Han Yang, Shihong Wang, Hao Zhong, Leyang Huang, Jianxin Zhao, Lü Wenqi, Zeyin Mao, Anni Deng, Yixuan Shi, Qin Huang, Yilu Wang, and Guoliang Huang*
Author Affiliations
  • Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
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    Figures & Tables(16)
    Mechanical analysis of HB structure. (a) Deformation and von Mises stress distribution of a double-layer PDMS hemispherical structure under an average stress of 4 kPa (radius of primary and secondary structures is 50 μm and 9 μm respectively); (b) deformation process and electrical response of pressure sensors with HB structure (depth of color indicates degree of deformation, and the darker the color, the greater the deformation)
    HB sensor and pulse wave measurement system. (a) Structure schematic diagram of HB sensor; (b) structure schematic diagram of pulse wave measurement system
    Schematic diagram of the calculation of Iar
    Schematic diagram of the calculation of HR
    Structural characterization of HB sensor. (a) Cross-sectional SEM image of primary and secondary layer; (b) tilted SEM image of primary layer; (c) plane SEM image of secondary layer uncoated with rGO
    Test results of response curves of sensors with different structures. (a) Relationship between relative current variation and pressure applied on the sensor; (b) elastic modulus of sensors (S1 and S2 are sensitivity of the HB sensor within two linear ranges respectively, E1, E2 and EHB are elastic modulus of single layer 1 sensor, single layer 2 sensor and HB sensor respectively)
    Application of HB sensor for pulse monitoring. (a) Recorded pulse waveforms of the volunteer at rest (in a seated position) (upper right illustration shows single-cycle pulse signals, R1 and R2 are intensity of P1 and P2 peaks, top left illustration shows HB sensor attached to radial artery of twrist); (b) recorded pulse waveforms of volunteer after exercise (inset graph shows detailed pulse signals); FFT results of recorded pulse waveforms at rest (c) and after exercise (d); comparison of Iar (p<0.0001) (e) and RWTT (p<0.0001) (f) between rest and after exercise
    Application of HB sensor in quantitative pulse diagnosis of traditional Chinese medicine. (a) Dynamic pulse pressure and corresponding pulse wave; (b) baseline pressure extracted from original signal; (c) pulse wave signal extracted from original signal; (d)‒(f) original value, average value and spectrum of pulse wave under different pulse pressures
    Pulse waveform and amplitude quantification at different finger pressures. (a) Average pulse waveform under different finger pressures; (b) average pulse amplitude (R1) under different finger pressures; (c) sectional view of anatomical structure at radial artery
    Framework diagram of CAMKformer model
    Bland-Altman diagram. (a) SBP; (b) DBP
    Visualization analysis of the importance of pulse wave features in different types of volunteers (color represents degree of impact of data on model classification results). (a) Healthy volunteers under normal blood pressure; (b) high blood pressure volunteers under high blood pressure; (c) hypertensive volunteers under high blood pressure
    • Table 1. Parameters of HB structure layer

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      Table 1. Parameters of HB structure layer

      Structure layerMaterialRadius /μmBetween centers /μm
      First layerPDMS50300
      Second layerrGO/PDMS38
    • Table 2. Error distribution of the CAMKformer model

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      Table 2. Error distribution of the CAMKformer model

      TypeError distribution /%
      <5 mmHg<10 mmHg<15 mmHg
      SBP36.373.887.5
      DBP73.298.6100.0
    • Table 3. Blood pressure prediction results of different categories of volunteers using the CAMKformer model

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      Table 3. Blood pressure prediction results of different categories of volunteers using the CAMKformer model

      Category of volunteerSBP error /mmHgDBP error /mmHg
      MmeanSSTDMmeanSSTD
      10 volunteers with normal BP8.911.15.67.5
      5 volunteers with prehypertension0.38.1-2.15.4
      5 volunteers with hypertension-7.112.4-2.05.6
      Average0.710.50.56.1
    • Table 4. Comparison between CAMKformer model and blood pressure measurement products on the market

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      Table 4. Comparison between CAMKformer model and blood pressure measurement products on the market

      Cuff /CufflessProductSBP error /mmHgDBP error /mmHg
      MmeanSSTDMmeanSSTD
      CuffOmron2.47.30.77.0
      CuffHuawei WATCH D-1.46.5-0.25.9
      CufflessLiveMetric-1.37.2-0.45.7
      CufflessOurs0.710.50.56.1
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    Han Yang, Shihong Wang, Hao Zhong, Leyang Huang, Jianxin Zhao, Lü Wenqi, Zeyin Mao, Anni Deng, Yixuan Shi, Qin Huang, Yilu Wang, Guoliang Huang. Graphene‐based Flexible Biosensing Technology and Wearable Precision Medical‐Health‐Monitoring Application[J]. Chinese Journal of Lasers, 2024, 51(9): 0907016

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    Paper Information

    Category: biomedical photonics and laser medicine

    Received: Nov. 20, 2023

    Accepted: Dec. 29, 2023

    Published Online: Apr. 30, 2024

    The Author Email: Huang Guoliang (tshgl@tsinghua.edu.cn)

    DOI:10.3788/CJL231418

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