Citation: Neng Shi, Haonan Jia, Jixiang Zhang, Pengyu Lu, Chenglong Cai, Yixin Zhang, Liqiang Zhang, Nongyue He, Weiran Zhu, Yan Cai, Zhangqi Feng, Ting Wang. Accurate expression of neck motion signal by piezoelectric sensor data analysis[J]. Chinese Chemical Letters, ;2024, 35(9): 109302. doi: 10.1016/j.cclet.2023.109302 shu

Accurate expression of neck motion signal by piezoelectric sensor data analysis

Neng Shi ^{a, 1} ,
Haonan Jia ^{a, 1} ,
Jixiang Zhang ^a ,
Pengyu Lu ^a ,
Chenglong Cai ^a ,
Yixin Zhang ^a ,
Liqiang Zhang ^a ,
Nongyue He ^a ,
Weiran Zhu ^b ,
Yan Cai ^{a, *,} ,
Zhangqi Feng ^c ,
Ting Wang ^{a, *,}

a.
State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
b.
SceneRay Co., Ltd., Suzhou 215123, China
c.
School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

yancai@seu.edu.cn

tingwang@seu.edu.cn

Received Date: 23 September 2023
Revised Date: 12 November 2023
Accepted Date: 14 November 2023
Available Online: 17 November 2023

Figures(4)

The development of high-precision sensors using flexible piezoelectric materials has the advantages of high sensitivity, high stability, good durability, and lightweight. The main problem with sensing equipment is low sensitivity, which is due to the mismatch between materials and analysis methods, resulting in the inability to effectively eliminate noise. To address this issue, we developed the denoising analysis method to motion signals captured by a flexible piezoelectric sensor fabricated from poly(L-lactic acid) (PLLA) and polydimethylsiloxane (PDMS) materials. Experimental results demonstrate that this improved denoising method effectively removes noise components from neck muscle motion signals, thus obtaining high-quality, low-noise motion signal waveforms. Wavelet decomposition and reconstruction is a signal processing technique that involves decomposing a signal into different scales and frequency components using wavelets and then selectively reconstructing the signal to emphasize specific features or eliminate noise. The study employed the sym8 wavelet basis for wavelet decomposition and reconstruction. In the denoised signals, a high degree of stability and periodic peaks are distinctly manifested, while amplitude and frequency differences among different types of movements also become noticeably visible. As a result of this study, we are enabled to accurately analyze subtle variations in neck muscle motion signals, such as nodding, shaking the head, neck lateral flexion, and neck circles. Through temporal and frequency domain analysis of denoised motion signals, differentiation among various motion states can be achieved. Overall, this improved analytical approach holds broad application prospects across various types of piezoelectric sensors, such as healthcare monitoring, sports biomechanics.
- Piezoelectric transducer,
- Wavelet decomposition,
- Muscle motion signal,
- Signal analysis,
- Noise component,
- Healthcare monitoring
1. [1]
  G. Li, D. Wen, Chin. Chem. Lett. 32 (2021) 221–228. doi: 10.1016/j.cclet.2020.10.028
2. [2]
  H. Zhao, M. Shu, Z. Ai, et al., Adv. Energy Mater. 12 (2022) 2201132. doi: 10.1002/aenm.202201132
3. [3]
  J. Liu, E. Chen, Y. Wu, et al., Adv. Compos. Hybrid Mater. 5 (2022) 1196–1205. doi: 10.1007/s42114-022-00472-9
4. [4]
  W. Babatain, U. Buttner, N.E. Atab, M.M. Hussain, ACS Nano 16 (2022) 20305–20317. doi: 10.1021/acsnano.2c06180
5. [5]
  Y. Xie, Z. Li, Chem 4 (2018) 943–971. doi: 10.1016/j.chempr.2018.01.001
6. [6]
  Y. Qin, J. Li, X. Zhang, et al., Chin. Chem. Lett. 34 (2023) 108826.
7. [7]
  Y. Chen, Z. Gao, F. Zhang, Z. When, X. Sun, Exploration 2 (2022) 20210112. doi: 10.1002/EXP.20210112
8. [8]
  M. Pohanka, Int. J. Electrochem. Sci. 12 (2017) 496–506. doi: 10.20964/2017.01.44
9. [9]
  L. Xie, Z. Zhang, Q. Wu, et al., Chem. Sci. 15 (2023) 405–433.
10. [10]
  U. Proske, A.K. Wise, J.E. Gregory, Prog. Neurobiol. 60 (2000) 85–96. doi: 10.1016/S0301-0082(99)00022-2
11. [11]
  G. Li, J. Li, Z. Li, et al., Adv. Compos. Hybrid Mater. 5 (2022) 766–775. doi: 10.1007/s42114-021-00331-z
12. [12]
  X. Wang, Y. Huan, S. Ji, et al., Nano Energy 101 (2022) 107580. doi: 10.1016/j.nanoen.2022.107580
13. [13]
  E. Capuana, F. Lopresti, M. Ceraulo, V.L. Carrubb, Polymers 14 (2022) 1153 (Basel). doi: 10.3390/polym14061153
14. [14]
  F. Sadraei, M. Ghollasi, F. Khakpai, R. Halabian, H.J. Tehrani, Regen. Ther. 21 (2022) 263–270. doi: 10.1016/j.reth.2022.07.015
15. [15]
  S. Shahtalebi, S.F. Atashzar, R. Patel, A. Mohammadi, Biomed Signal Process. 48 (2019) 179–188. doi: 10.1016/j.bspc.2018.10.007
16. [16]
  T. Tuncer, S. Dogan, A. Subasi, Biomed. Signal Process. 58 (2020) 101872. doi: 10.1016/j.bspc.2020.101872
17. [17]
  M. Grobbelaar, S. Phadikar, E. Ghaderpour, et al., Signals 3 (2022) 577–586. doi: 10.3390/signals3030035
18. [18]
  S. Qaisar, S. Khan, D. Dallet, R. Tadeusiewicz, P. Pławiak, Biocybern. Biomed. Eng. 42 (2022) 681–694. doi: 10.1016/j.bbe.2022.05.006
19. [19]
  S. Qian, L. Qin, J. He, et al., Mater. Lett. 261 (2020) 127119. doi: 10.1016/j.matlet.2019.127119
20. [20]
  N.R. Alluri, S. Selvarajan, A. Chandrasekhar, et al., Compos. Sci. Technol. 142 (2017) 65–78. doi: 10.1016/j.compscitech.2017.02.001
21. [21]
  S. Liu, X. Meng, J. Zhang, J. Chae, Biosens. Bioelectron. 139 (2019) 111336. doi: 10.1016/j.bios.2019.111336
22. [22]
  A. Kensert, G. Collaerts, K. Efthymiadis, et al., J. Chromatogr. A 1646 (2021) 462093. doi: 10.1016/j.chroma.2021.462093
23. [23]
  R.B. Vidhya, S. Jerritta, Mater. Today Proc. 49 (2022) 2955–2961. doi: 10.1016/j.matpr.2021.11.367
24. [24]
  H. Li, X. Wang, L. Chen, E. Li, Circ. Syst. Signal Process. 33 (2014) 1261–1276. doi: 10.1007/s00034-013-9691-3
25. [25]
  R. Sharma, R. Pachori, Biomed. Signal Process. 45 (2018) 33–49. doi: 10.1016/j.bspc.2018.05.002
26. [26]
  A. Singhal, P. Singh, B. Fatimah, R.B. Pachori, Biomed. Signal Process. 57 (2020) 101741. doi: 10.1016/j.bspc.2019.101741
27. [27]
  Z. Izakian, M.S. Mesgari, R. Weibel, Eng. Appl. Artif. Intell. 88 (2020) 103394. doi: 10.1016/j.engappai.2019.103394
28. [28]
  J. Kim, K. Lee, J. Lee, K. Kim, J. Supercomput. 74 (2018) 6785–6793. doi: 10.1007/s11227-018-2608-y
29. [29]
  K. Todros, R. Winik, J. Tabrikian, Signal Process. 108 (2015) 622–627. doi: 10.1016/j.sigpro.2014.10.016
30. [30]
  W. Laghari, M. Baloch, M. Mengal, S. Shah, Circ. Syst. 5 (2014) 209–216. doi: 10.4236/cs.2014.59023
31. [31]
  M. Liu, H.Q. Hao, P. Xiong, et al., J. Med. Biol. Eng. 38 (2018) 980–992. doi: 10.1007/s40846-017-0350-1
32. [32]
  A. Kumar, H. Tomar, V. Mehla, R. Komaragiri, M. Kumar, ISA Trans. 114 (2021) 251–262. doi: 10.1016/j.isatra.2020.12.029
33. [33]
  J.D. Rhodes, S.A. Alseyab, Int. J. Circ. Theor. Appl. 8 (1980) 113–125. doi: 10.1002/cta.4490080205
34. [34]
  S.S. Bhogeshwar, M.K. Soni, D. Bansal, Int. J. Biomed. Eng. Technol. 16 (2014) 244–267. doi: 10.1504/IJBET.2014.065806
35. [35]
  B. Xie, Z. Xiong, Z. Wang, et al., Nucl. Eng. Technol. 52 (2020) 1771–1776. doi: 10.1016/j.net.2020.01.025
36. [36]
  S. Chatterjee, R.S. Thakur, R.N. Yadav, L. Gupta, Signal Process. 198 (2022) 108605. doi: 10.1016/j.sigpro.2022.108605
37. [37]
  B. Yu, EURASIP J. Image Video Process. 2019 (2019) 5. doi: 10.1186/s13640-018-0401-8
38. [38]
  C. Kaur, A. Bisht, P. Singh, G. Joshi, Biomed. Signal Process. 65 (2021) 102337. doi: 10.1016/j.bspc.2020.102337
39. [39]
  S. Kar, M. Ganguly, Mater. Today Proc. 58 (2022) 437–444. doi: 10.1016/j.matpr.2022.02.394
40. [40]
  D.G. Simons, S. Mense, Pain 75 (1998) 1–17. doi: 10.1016/S0304-3959(97)00102-4
41. [41]
  D. Falla, A. Rainoldi, R. Merletti, G. Jull, Clin. Neurophysiol. 114 (2003) 488–495. doi: 10.1016/S1388-2457(02)00418-2
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