Spectral Analysis of Gait Variability of Stride Interval Time Series: Comparison of Young, Elderly and Parkinson's Disease Patients
| Autor: | Akihiro Takeuchi, Toyokazu Saito, Osamu Henmi, Yoshitaka Shiba, Harukazu Tsuruta, Masuo Shirataka, Shuichi Obuchi, Motonaga Kojima, Noriaki Ikeda |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
medicine.medical_specialty
Series (stratigraphy) Parkinson's disease business.industry musculoskeletal neural and ocular physiology Spectral density STRIDE Physical Therapy Sports Therapy and Rehabilitation medicine.disease Gait Preferred walking speed Interval (music) Physical medicine and rehabilitation Gait analysis medicine business human activities |
| Zdroj: | Journal of Physical Therapy Science. 21:105-111 |
| ISSN: | 2187-5626 0915-5287 |
| DOI: | 10.1589/jpts.21.105 |
| Popis: | [Purpose] The purpose of this study was to verify a method of spectral analysis of stride-to-stride variability, and to apply this method to the analysis of the gait pattern of patients with Parkinson's disease. [Subjects] Ten healthy young individuals, ten community-dwelling elderly individuals and nine individuals with Parkinson's disease were recruited. [Methods] To quantitatively evaluate stride-to-stride variability, we used fast Fourier transform, calculated the power spectrum, and separated it into three frequency ranges. We plotted a double-log graph for the power spectrum and calculated the slope of the line using least-squares regression. For each of the participants we measured 10-meter walking speed, stride-to-stride variability, and disease severity (only Parkinson's disease). [Results] Each of three ranges of the power spectrum was four times larger for Parkinson's disease patients than for the healthy groups (p < 0.05). The severity of Parkinson's disease correlated significantly with the very low frequency range (0.01-0.05 Hz) of the power spectrum (r = 0.767, p = 0.0159) and the scaling factor β of the power spectrum (r = 0.850, p = 0.0037). [Conclusion] This method of spectral analysis of stride-to-stride variability may be useful for gait analysis of patients with Parkinson's. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|