Skip to main content
SpringerLink
Log in

Simple tai chi exercise for improving elderly postural stability via complexity index analysis

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

The main purpose of this study is to investigate twice a day simple 9-step tai chi effects of the center of pressure (COP) and physiological signals of elderly people. Data are collected from the COP signals, electromyography (EMG), and pulse oximetry for 1 min for the period of 12 weeks. The COP signals are analyzed using multivariate empirical mode decomposition and multivariate multiscale entropy to work out and compare the complexity index (CI). Subjects in this experiment are over 65 years old who are divided into 11 men and 7 women; the average age is 74 ± 8.18 years. In conclusion, it is found that tai chi exercise can improve human body balance by just walking some simple steps in our experiment. However, we cannot find any effect or improvement in the pulse oximetry and EMG signals analysis.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. World Health Organization (2007) WHO global report on falls prevention in older age, World Health Organization

  2. Ahmed MU, Mandic DP (2012) Multivariate multiscale entropy analysis. IEEE Signal Process Lett 19(2):91–94

    Article  Google Scholar 

  3. Sezer O, Ferdjallah M (2005) Adaptive autoregressive model for the analysis of center of pressure in healthy subjects during quiet standing. In: IEEE 48th Midwest Symposium on Circuits and Systems, vol. 1. Covington, pp 495–498

  4. Snoussi H, Amoud H, Doussot M, Hewson D, Duchene J (2006) Reconstructed phase spaces of intrinsic mode functions. In: Application to Postural Stability Analysis, Engineering in Medicine and Biology Society. EMBS ‘06. 28th Annual International Conference of the IEEE, New York, pp 4584–4589

  5. Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis. Proc R Soc Lond 454:903–995

    Article  MATH  MathSciNet  Google Scholar 

  6. Freitas SMSF, Wieczorek SA, Marchetti PH, Duarte M (2005) Age-related changes in human postural control of prolonged standing. Gait Posture 22:322–330

    Article  Google Scholar 

  7. Rehman N, Mandic DP (2010) Multivariate empirical mode decomposition, in Proc. Roy Soc A 466:1291–1302

    Article  MATH  MathSciNet  Google Scholar 

  8. Rehman N, Mandic DP (2010) Filter bank property of multivariate empirical mode decomposition, IEEE Trans. Signal Proc 59:2421–2426

    Article  Google Scholar 

  9. Costa M, Goldberger AL, Peng CK (2002) Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 89:068102

    Article  Google Scholar 

  10. Costa M, Goldberger AL, Peng CK (2005) Multiscale entropy analysis of biological signals. Phys Rev E 71:021906-1–02190618

    MathSciNet  Google Scholar 

  11. Thuraisingham RA, Gottwald GA (2006) On multiscale entropy analysis for physiological data. Phys A 366:323–332

    Article  Google Scholar 

  12. Liu Q, Wei Q, Fan SZ, Lu CW, Lin TY, Abbod MF, Shieh JS (2012) Adaptive computation of multiscale entropy and its application in EEG signals for monitoring depth of anesthesia during surgery. Entropy 14(6):978–992. doi:10.3390/e14060978

    Article  MATH  Google Scholar 

  13. Costa M, Healey JA (2003) Multiscale entropy analysis of complex heart rate dynamics: discrimination of age and heart failure effects, computers in cardiology 30:705–708

Download references

Acknowledgments

This research is supported by Ministry of Science and Technology in Taiwan through Grant number of NSC102-2221-E-155-028-MY3. This research is also supported by the Center for Dynamical Biomarkers and Translational Medicine, National Central University, Taiwan which is sponsored by Ministry of Science and Technology (NSC102-2911-I-008-001).

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Yuan Ze University, Chung-Li, Taiwan

    Cheng-Wei Huang, Heng-Hui Chu & Jiann-Shing Shieh

  2. Department of Industrial Engineering and Management, Yuan Ze University, Chung-Li, Taiwan

    Wei-Hsin Chen

  3. Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan

    Bernard C. Jiang

  4. School of Engineering and Design, Brunel University, London, UB8 3PH, UK

    Maysam Abbod

  5. Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Chung-Li, Taiwan

    Jiann-Shing Shieh

  6. Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chung-Li, Taiwan

    Jiann-Shing Shieh

Authors
  1. Cheng-Wei Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei-Hsin Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heng-Hui Chu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bernard C. Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Maysam Abbod
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jiann-Shing Shieh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiann-Shing Shieh.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, CW., Chen, WH., Chu, HH. et al. Simple tai chi exercise for improving elderly postural stability via complexity index analysis. Artif Life Robotics 20, 42–48 (2015). https://doi.org/10.1007/s10015-014-0193-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-014-0193-6

Keywords

Search

Navigation