Simulation of gait cycle in sagittal plane for above-knee prosthesis

Haider, Saif M. J.; Takhakh, Ayad M.; Al-Waily, Muhannad; Saadi, Yasir

doi:10.1063/5.0066819

Cited by 11 publications

(1 citation statement)

References 21 publications

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“…It begins when one foot makes initial contact with the ground and ends when the same foot makes contact again. The gait cycle consists of two phases, the stance phase and the swing phase [16]. The stance phase begins when the foot makes initial contact with the ground and continues until the foot leaves the ground.…”

Section: Gait Cycle Analysismentioning

confidence: 99%

Computer Vision-Based Approach for Automated Monitoring and Assessment of Gait Rehabilitation at Home

Talaa,

El Fezazi,

Jilbab

et al. 2023

Int. J. Onl. Eng.

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This study presents a markerless video-based human gait analysis system for automatic assessment of at-home rehabilitation. A marker-based MoCap system (Vicon) is used to evaluate the accuracy of the proposed approach. Additionally, a novel gait rehabilitation score based on the Dynamic Time Warping (DTW) algorithm is introduced, enabling quantification of rehabilitation progress. The accuracy of the proposed approach is assessed by comparing it to a marker-based MoCap system (Vicon), which is used to evaluate the proposed approach. This evaluation results in mean absolute errors (MAE) of 4.8° and 5.2° for the left knee, and 5.9° and 5.7° for the right knee, demonstrating an acceptable accuracy in knee angle measurements. The obtained scores effectively distinguish between normal and abnormal gait patterns. Subjects with normal gait exhibit scores around 97.5%, 98.8%, while those with abnormal gait display scores around 30%, 29%, respectively. Furthermore, a subject at an advanced stage of rehabilitation achieved a score of 65%. These scores provide valuable insights for patients, allowing them to assess their rehabilitation progress and distinguish between different levels of gait recovery. The proposed markerless approach demonstrates acceptable accuracy in measuring knee joint angles during a sagittal walk and provides a reliable rehabilitation score, making it a convenient and cost-effective alternative for automatic at-home rehabilitation monitoring.

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Section: Gait Cycle Analysismentioning

confidence: 99%