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Letter to the editor
- Patient-Perceived Response to Medical Treatment for Hemifacial Spasm
- Su Hyeon Ha, Seoyeon Kim, Seungmin Lee, Bora Jin, Kyung Ah Woo, Jung Hwan Shin, Han-Joon Kim
- J Mov Disord. 2026;19(1):114-116. Published online October 28, 2025
- DOI: https://doi.org/10.14802/jmd.25248
- 412 View
- 23 Download
Brief communication
- Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson’s Disease: Video-Based Analysis From a Single Camera
- HoYoung Jeon, Jung Hwan Shin, Ri Yu, Min Kyung Kang, Seungmin Lee, Seoyeon Kim, Bora Jin, Kyung Ah Woo, Han-Joon Kim, Beomseok Jeon
- J Mov Disord. 2025;18(1):87-92. Published online December 23, 2024
- DOI: https://doi.org/10.14802/jmd.24210
- 3,257 View
- 129 Download
- 2 Web of Science
- 3 Crossref
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Abstract
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Supplementary Material - Objective
This study aims to objectively evaluate turning gait parameters in Parkinson’s disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.
Methods
We prospectively enrolled PD patients for clinical assessment, balance analysis and gait with 180º turning. Spatiotemporal gait parameters during turning were derived using video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.
Results
A total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, greater numbers of steps, wider step bases and less variability in step length during turns. COP oscillations were positively correlated with the mean turning time on both the anterior-posterior and right-left axes.
Conclusion
Spatiotemporal gait parameter during turning, derived from video-based gait analysis, may represent apromising biomarker for monitoring postural instability in PD patients. -
Citations
Citations to this article as recorded by
- Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors
Francesco Castelli Gattinara Di Zubiena, Alessandro Zampogna, Martina Patera, Giovanni Cusolito, Ludovica Apa, Ilaria Mileti, Antonio Cannuli, Antonio Suppa, Marco Paoloni, Zaccaria Del Prete, Eduardo Palermo
Sensors.2025; 25(16): 5054. CrossRef - Gait Patterns and Balance Impairment in Parkinson’s Disease With Correlation to Disease Severity
Danyeong Kim, Da-Eun Jeong, Hyunkyung Yi, Min Ju Kang
Dementia and Neurocognitive Disorders.2025; 24(4): 259. CrossRef - Clinical and neuroimaging correlates of disease related gait patterns in patients with multiple system atrophy cerebellar type
Seungmin Lee, Minchul Kim, Kyu Sung Choi, Chanhee Jeong, Ri Yu, Jee-Young Lee, Jung Hwan Shin, Han-Joon Kim, Beomseok Jeon
Scientific Reports.2025;[Epub] CrossRef
- Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors
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