Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders Article Swipe
Yu-Sun Min
,
Tae‐Du Jung
,
Yang‐Soo Lee
,
Yonghan Kwon
,
Hyung Joo Kim
,
Hee Chan Kim
,
Jung Chan Lee
,
Eunhee Park
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/bioengineering11090911
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/bioengineering11090911
This study evaluates the utility of OpenCap (v0.3), a smartphone-based motion capture system, for performing gait analysis in patients with neurological disorders. We compared kinematic and kinetic gait parameters between 10 healthy controls and 10 patients with neurological conditions, including stroke, Parkinson’s disease, and cerebral palsy. OpenCap captured 3D movement dynamics using two smartphones, with data processed through musculoskeletal modeling. The key findings indicate that the patient group exhibited significantly slower gait speeds (0.67 m/s vs. 1.10 m/s, p = 0.002), shorter stride lengths (0.81 m vs. 1.29 m, p = 0.001), and greater step length asymmetry (107.43% vs. 91.23%, p = 0.023) compared to the controls. Joint kinematic analysis revealed increased variability in pelvic tilt, hip flexion, knee extension, and ankle dorsiflexion throughout the gait cycle in patients, indicating impaired motor control and compensatory strategies. These results indicate that OpenCap can effectively identify significant gait differences, which may serve as valuable biomarkers for neurological disorders, thereby enhancing its utility in clinical settings where traditional motion capture systems are impractical. OpenCap has the potential to improve access to biomechanical assessments, thereby enabling better monitoring of gait abnormalities and informing therapeutic interventions for individuals with neurological disorders.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/bioengineering11090911
- OA Status
- gold
- Cited By
- 10
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402487247
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402487247Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/bioengineering11090911Digital Object Identifier
- Title
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Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological DisordersWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-09-12Full publication date if available
- Authors
-
Yu-Sun Min, Tae‐Du Jung, Yang‐Soo Lee, Yonghan Kwon, Hyung Joo Kim, Hee Chan Kim, Jung Chan Lee, Eunhee ParkList of authors in order
- Landing page
-
https://doi.org/10.3390/bioengineering11090911Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/bioengineering11090911Direct OA link when available
- Concepts
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Gait, Physical medicine and rehabilitation, Gait analysis, Cerebral palsy, Medicine, Kinematics, Motion capture, Movement disorders, STRIDE, Pelvic tilt, Physical therapy, Disease, Motion (physics), Pelvis, Computer science, Internal medicine, Surgery, Artificial intelligence, Classical mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
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2025: 9, 2024: 1Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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