A Microphone-Based Gait Assessment Method (MGAM) in a patient with Parkinson disease. A case report.
J. L. Jesus, H. M. Ramos, X. Chiementin, R. Taiar, D. Sá-Caputo, M. Bernardo-Filho, C. B. Machado
Abstract: Background: Gait analysis plays a key role during the rehabilitation process, and its correct evaluation may guarantee an adequate diagnosis and treatment. The development of low-cost and simpler methods presents an interesting area of research. This work aims at using a Microphone-based Gait Assessment Method (MGAM) in a patient with Parkinson disease (PD).
Methods: An algorithm was developed to provide quantitative data, such as gait cadence, speed, and stride/step duration, utilizing the sound recording while the patient walked a predetermined distance. Video recording was used as a gold-standard evaluation method. The subject was a patient with Parkinson disease (stage 3 on Hoehn and Yahr’s scale). A total of three recordings were performed: the first one, only with video recording; and other two, with both video and sound recording (microphones attached posterior to the lateral malleolus). Video camera was placed on the ground, aligned with the gait pathway. Files were saved for offline analysis.
Results: Patient presented cadence of 0.99 step/s, gait speed of 0.33 m/s, and mean step duration of 1.00 s (± 0.07 s). Bland and Altman plots indicated good agreement between video and sound recording. There was no significant difference between methods (p > 0.05). Correlation was strong between video and sound recording (r = 0.96, p < 0.001).
Conclusion: gait evaluation with video data can be replaced by MGAM, and it indicates that it may be possible to apply this technique for patients with PD in clinical practices.
Series on Biomechanics, Vol.33, No. 2(2019), 25 - 33
Methods: An algorithm was developed to provide quantitative data, such as gait cadence, speed, and stride/step duration, utilizing the sound recording while the patient walked a predetermined distance. Video recording was used as a gold-standard evaluation method. The subject was a patient with Parkinson disease (stage 3 on Hoehn and Yahr’s scale). A total of three recordings were performed: the first one, only with video recording; and other two, with both video and sound recording (microphones attached posterior to the lateral malleolus). Video camera was placed on the ground, aligned with the gait pathway. Files were saved for offline analysis.
Results: Patient presented cadence of 0.99 step/s, gait speed of 0.33 m/s, and mean step duration of 1.00 s (± 0.07 s). Bland and Altman plots indicated good agreement between video and sound recording. There was no significant difference between methods (p > 0.05). Correlation was strong between video and sound recording (r = 0.96, p < 0.001).
Conclusion: gait evaluation with video data can be replaced by MGAM, and it indicates that it may be possible to apply this technique for patients with PD in clinical practices.
Series on Biomechanics, Vol.33, No. 2(2019), 25 - 33
Keywords: biomechanics; Gait; microphones; Parkinson disease
Date published: 2019-07-17
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