Kinect-based objective assessment for early frailty identification in patients with Parkinson’s disease

Xie, Ludi; Hong, Ronghua; Wu, Zhuang; Yue, Lei; Peng, Kangwen; Li, Shuangfang; Zhang, Jingxing; Wang, Xijin; Jin, Lingjing; Guan, Qiang

doi:10.1007/s40520-023-02525-5

Cited by 1 publication

(1 citation statement)

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“…With the development of human posture estimation algorithms, it is possible to use video captured with handheld devices and output by motion capture system software to assist in medical treatment (14)(15)(16). By recording a video of a subject walking, the movements in each frame of the video and the joint angles can be captured and tracked to obtain relevant gait parameters, which are then used to assist in the diagnosis and treatment of diseases.…”

Section: Introductionmentioning

confidence: 99%

Clinical reliability and validity of a video-based markerless gait evaluation method

Lin,

Wang,

Sha

et al. 2023

Front. Pediatr.

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ObjectiveTo explore the reliability and validity of gait parameters obtained from gait assessment system software employing a human posture estimation algorithm based on markerless videos of children walking in clinical practice.MethodsEighteen typical developmental (TD) children and ten children with developmental dysplasia of the hip (DDH) were recruited to walk along a designated sidewalk at a comfortable walking speed. A 3-dimensional gait analysis (3D GA) and a 2-dimensional markerless (2D ML) gait evaluation system were used to extract the gait kinematics parameters twice at an interval of 2 h.ResultsThe two measurements of the children's kinematic gait parameters revealed no significant differences (P > 0.05). Intra-class correlation coefficients (ICC) were generally high (ICC >0.7), showing moderate to good relative reliability. The standard error of measurement (SEM) values of all gait parameters measured by the two walks were 1.26°–2.91°. The system software had good to excellent validity compared to the 3D GA, with ICC values between 0.835 and 0.957 and SEM values of 0.87°–1.71° for the gait parameters measured by both methods. The Bland–Altman plot analysis indicated no significant systematic errors.ConclusionsThe feasibility of the markerless gait assessment method using the human posture estimation-based algorithm may provide reliable and valid gait analysis results for practical clinical applications.

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Section: Introductionmentioning

confidence: 99%