Skip to main content
Log in

sEMG based quantitative assessment of acupuncture on Bell’s palsy: an experimental study

基于表面肌电信号的针刺治疗面瘫疗效量化评估方法

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

Acupuncture is a traditional Chinese therapeutic method, recognized by western medicine as an important complementary therapy. However, the efficacy assessment of this traditional intervention has been mainly empirical rather than scientific. In this paper, we propose a surface electromyography (sEMG) based approach for quantitative assessment of acupuncture on Bell’s palsy. The assessment is made by comparing the muscle activities of healthy with diseased ones. A feature-vector of four individual sEMG features is introduced for more comprehensive representation of muscle activity. A clustering technique is then proposed to calculate quantitative differences between the muscle activities of the healthy and diseased sides. A regressive model is also proposed to predict the recovery trend of a patient based on the quantitative assessments during his/her clinical acupuncture history. As reported in the paper, a total of 20 selected Bell’s palsy patients have participated in the extensive experiments that were conducted to verify the performance of the proposed method.

摘要

针刺是一种传统的中医治疗手段, 已经在临床上得到广泛的应用. 但是, 针刺疗效目前缺乏客观精确的量化评估方法. 本文提出一种基于表面肌电信号的针刺治疗面瘫疗效量化评估方法, 主要包括以下几个部分: 首先, 采集患者健康侧与患侧的表面肌电信号, 并提取特征, 组建特征向量; 然后, 采用主元分析和 k均值方法, 对特征向量进行降维聚类, 以类别中心距离作为评估针刺疗效的指标; 最后, 利用类别中心距离构造自回归模型, 预测患者的康复趋势. 20 名面瘫患者参与到本实验中, 验证上述方法. 结果表明, 本文方法预测精度达到 92.8%以上.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. World Health Organization. Acupuncture: Review and Analysis of Reports on Controlled Clinical Trials. Geneva: World Health Organization, 2002. 1–5

    Google Scholar 

  2. Ezzo J, Berman B, Hadhazy V A, et al. Is acupuncture effective for the treatment of chronic pain? A systematic review. Pain, 2000, 86: 217–225

    Google Scholar 

  3. Moffet H H. Traditional acupuncture theories yield null outcomes: a systematic review of clinical trials. J Clin Epidemiol, 2008, 61: 741–747

    Article  Google Scholar 

  4. van Tulder M W, Cherkin D C, Berman B, et al. The effectiveness of acupuncture in the management of acute and chronic low back pain. A systematic review within the framework of the Cochrane Collaboration Back Review Group. Spine, 1999, 24: 1113–1123

    Google Scholar 

  5. Ernst E, Lee M S, Choi T Y. Acupuncture: does it alleviate pain and are there serious risks? A review of reviews. Pain, 2011, 152: 755–764

    Google Scholar 

  6. Xia F, Han J L, Liu X D, et al. Prednisolone and acupuncture in Bell’s palsy: study protocol for a randomized, controlled trial. Trials, 2011, 12: 158–159

    Google Scholar 

  7. Lei H, Wang W, Huang G. Acupuncture benefits a pregnant patient who has Bell’s palsy: a case study. J Altern Complement Med, 2010, 16: 375–395

    Article  Google Scholar 

  8. Hsieh C L. Acupuncture as treatment for nervous system diseases. BioMedicine, 2012, 2: 51–57

    Article  Google Scholar 

  9. Wu B, Li N, Liu Y, et al. Study on clinical effectiveness of acupuncture and moxibustion on acute Bell’s facial paralysis: randomized controlled clinical observation (in Chinese). Chin Acupunct Moxibustion, 2006, 26: 157–160

    Google Scholar 

  10. Li Y, Li Y, Liu L A, et al. Acupuncture and moxibustion for peripheral facial palsy at different stages:multi-central large-sample randomized controlled trial (in Chinese). Chin Acupunct Moxibustion, 2011, 31: 289–293

    Google Scholar 

  11. De Luca C J. Physiology and mathematics of myoelectric signals. IEEE Trans Biomed Eng, 1979, 26: 313–325

    Article  Google Scholar 

  12. Wang T M, Tao Y, Chen Y. Research status and development trends of the service robotic technology (in Chinese). Sci Sin Inform, 2012, 42: 1049–1066

    Article  Google Scholar 

  13. Xiong A B, Chen Y, Zhao X G, et al. A novel HCI based on EMG and IMU. In: Proceedings of IEEE International Conference on Robotics and Biomimetics, Phuket, 2011. 2653–2657

    Google Scholar 

  14. Latif R, Sanei S, Shave C, et al. Classification of temporomandibular disorder from electromyography signals via directed transfer function. In: Proceedings of International Conference of IEEE Engineering in Medicine and Biology Society, Vancouver, 2008. 2904–2907

    Google Scholar 

  15. Rancan S V, Bataglion C, Bataglion S A, et al. Acupuncture and temporomandibular disorders: a 3-month follow-up EMG study. J Altern Complement Med, 2009, 15: 1307–1310

    Article  Google Scholar 

  16. Ferrarin M, Carpinella I, Rabuffetti M, et al. Unilateral and bilateral subthalamic nucleus stimulation in Parkinson’s disease: effects on EMG signals of lower limb muscles during walking. IEEE Trans Neural Syst Rehabil Eng, 2007, 15: 182–189

    Article  Google Scholar 

  17. Zhao F, Fan X, Grondin R, et al. Improved methods for electroacupuncture and electromyographic recordings in normal and parkinsonian rhesus monkeys. J Neurosci Methods, 2010, 192: 199–206

    Article  Google Scholar 

  18. Politti F, Amori C F, Calili L, et al. The use of surface electromyography for the study of auricular acupuncture. J Bodyw Mov Ther, 2010, 14: 219–226

    Article  Google Scholar 

  19. Wang M, Loo W T, Chou J W. Electromyographic responses from the stimulation of the temporalis muscle through facial acupuncture points. J Chiropr Med, 2007, 6: 146–152

    Article  Google Scholar 

  20. Al-Timemy A H, Bugmann G, Escudero J, et al. Classification of finger movements for the dexterous hand prosthesis control with surface electromyography. IEEE J Biomed Health Inform, 2013, 17: 608–618

    Article  Google Scholar 

  21. Li Z J, Wang B C, Yang C G, et al. Boosting-based EMG patterns classification scheme for robustness enhancement. IEEE J Biomed Health Inform, 2013, 17: 545–552

    Article  MATH  Google Scholar 

  22. Ding Q C, Zhao X G, Han J D. EMG-based estimation for multi-joint continuous movement of human upper limb (in Chinese). Robot, 2014, 36: 469–476

    Google Scholar 

  23. Duda R O, Hart P E, Stock D G. Pattern Classification. 2nd ed. New York: Wiley-Interscience, 2000. 113–115

    Google Scholar 

  24. Zhou Z M, Ma N, Li Y X, et al. Variational PCA fusion for Pan-sharpening very high resolution imagery. Sci China Inf Sci, 2014, 57: 112107

    Google Scholar 

  25. MacKay D J C. Information Theory, Inference and Learning Algorithms. Cambridge: Cambridge University Press, 2004. 284–292

    Google Scholar 

  26. Sall J, Creighton L, Lehman A. JMP Start Statistics: a Guide to Statistics and Data Analysis Using JMP and JMP in Software. 3rd ed. Cary: SAS Publishing Inc., 2005. 161–168

    Google Scholar 

  27. Englehart K, Hudgin B, Parker P A. A wavelet-based continuous classification scheme for multifunction myoelectric control. IEEE Trans Biomed Eng, 2001, 48: 302–311

    Article  Google Scholar 

  28. Huang Y H, Englehart K B, Hudgins B, et al. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses. IEEE Trans Biomed Eng, 2005, 52: 1801–1811

    Article  Google Scholar 

  29. Cattell R B. The scree test for the number of factors. Multivariate Behav Res, 1966, 1: 245–276

    Article  Google Scholar 

  30. Chen X, Li Y, Zheng H, et al. A randomized controlled trial of acupuncture and moxibustion to treat Bell’s palsy according to different stages: design and protocol. Contemp Clin Trials, 2009, 30: 347–353

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to JianDa Han.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, J., Xiong, A., Zhao, X. et al. sEMG based quantitative assessment of acupuncture on Bell’s palsy: an experimental study. Sci. China Inf. Sci. 58, 1–15 (2015). https://doi.org/10.1007/s11432-015-5282-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-015-5282-1

Keywords

关键词

Navigation