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Recent Patents on Biomedical Engineering (Discontinued)
ISSN (Print): 2211-3320
ISSN (Online): 1874-7647
VOLUME: 6
ISSUE: 2
DOI: 10.2174/1874764711306020004      Price:  $100









Computer Vision Methods for Parkinsonian Gait Analysis: A Review on Patents

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Author(s): Taha Khan, Peter Grenholm and Dag Nyholm
Pages 97-108 (12)
Abstract:
Gait disturbance is an important symptom of Parkinson’s disease (PD). This paper presents a review of patents reported in the area of computerized gait disorder analysis. The feasibility of marker-less vision based systems has been examined for ‘at-home’ self-evaluation of gait taking into account the physical restrictions of patients arising due to PD. A three tier review methodology has been utilized to synthesize gait applications to investigate PD related gait features and to explore methods for gait classification based on symptom severities. A comparison between invasive and non-invasive methods for gait analysis revealed that marker-free approach can provide resource efficient, convenient and accurate gait measurements through the use of image processing methods. Image segmentation of human silhouette is the major challenge in the marker-free systems which can possibly be comprehended through the use of Microsoft Kinect application and motion estimation algorithms. Our synthesis further suggests that biorhythmic features in gait patterns have potential to discriminate gait anomalies based on the clinical scales.
Keywords:
Gait Impairment, Parkinson’s disease, Gait Video Analysis, and Image Processing.
Affiliation:
Academy of Industry and Society, Computer Engineering, Dalarna University, SE- 781 88 Borlänge, Sweden.