Research on Sensing Cardiac Cycles Using a Microbend Fiber Sensor

Zhiguo Jiang; Jianing Ma; Shuxia Qian; Chaochao Wang; Xianchao Zhang

doi:10.3788/CJL231506

Chinese Journal of Lasers, Volume. 51, Issue 13, 1306005(2024)

Research on Sensing Cardiac Cycles Using a Microbend Fiber Sensor

Zhiguo Jiang^1,4, Jianing Ma², Shuxia Qian³, Chaochao Wang^1,4, and Xianchao Zhang^1,4、*

¹Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province, Jiaxing University, Jiaxing 314001, Zhejiang , China

²School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

³Department of Neurology, Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang , China

⁴Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province, Jiaxing University, Jiaxing 314001, Zhejiang , China

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Figures & Tables(13)

Fig. 1. BCG signal and its characteristic peaks

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Fig. 2. Microbend fiber optic vital sign sensor. (a) Sensor structure diagram; (b) photo of sensor

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Fig. 3. Cardiac cycle detection method based on microbend fiber optic sensing. (a) Method schematic diagram; (b) photo during the experiment

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Fig. 4. Motion artifacts caused by body movement

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Fig. 5. Weak heart and lung vibration signal collected in the experiment. (a) Time-domain waveform; (b) time frequency scale map based on wavelet transform

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Fig. 6. IMF components obtained after 4-layer VMD decomposition

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Fig. 7. BCG waveform obtained after SPA-IVMD joint denoising

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Fig. 8. J-peak adaptive positioning process. (a) Preselected J-peak; (b) second peak after preselected J-peak; (c) results filtered by amplitude threshold; (d) results filtered by peak time interval

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Fig. 9. J-wave peak localization of BCG

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Fig. 10. Comparison of cardiac cycles obtained from ECG and BCG respectively

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Table 1. Center frequency of each IMF component under different decomposition levels
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Table 1. Center frequency of each IMF component under different decomposition levels
Decomposition level IMF1 IMF2 IMF3 IMF4 IMF5
1 3.407 ‒ ‒ ‒ ‒
2 2.522 6.044 ‒ ‒ ‒
3 2.434 5.467 15.129 ‒ ‒
4 2.216 4.599 7.423 16.602 ‒
5 2.206 4.532 7.008 14.283 72.211

Table 2. Calculation of average heart rate

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Table 2. Calculation of average heart rate

Subject	BCG /（beat·min^-1）	ECG /（beat·min^-1）	Error /%
1	66.40 （66 peaks）	66.33 （66 peaks）	0.106
2	53.19 （53 peaks）	53.10 （53 peaks）	0.169
3	57.86 （56 peaks）	57.81 （58 peaks）	0.086
4	74.27 （72 peaks）	73.19 （73 peaks）	1.476
5	70.16 （70 peaks）	70.07 （70 peaks）	0.128

Table 3. Average heart rate under different algorithms
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Table 3. Average heart rate under different algorithms
Method
ECG /
（beat·min^-1）
BCG /
（beat·min^-1）
Average
error /%
STE
66.0439
70.6121 6.92
TM 64.7612 1.94
CA 64.1146 2.92
Proposed 66.4981 0.69

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Zhiguo Jiang, Jianing Ma, Shuxia Qian, Chaochao Wang, Xianchao Zhang. Research on Sensing Cardiac Cycles Using a Microbend Fiber Sensor[J]. Chinese Journal of Lasers, 2024, 51(13): 1306005

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