ReviewBehavioural neurology2025
Intelligent Assessment Techniques for Abnormal Movement Patterns in Neurological Disorders: Applications and Advances.
Review in Behavioural neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
Neurological disorders frequently result in diverse forms of abnormal movement. Conventional clinical assessment approaches often lack the precision and objectivity needed to evaluate muscle involvement and associated functional limitations. With the development of various intelligent assessment devices, technologies such as wearable sensors, motion capture, radar, and imaging technology, which are based on myoelectricity, kinematics, mechanics, and optics, combined with mathematical models and algorithms, have been widely used for abnormal movement recognition. These technologies further improve the accuracy and validity of clinical evaluation. In this paper, we review the latest advances in intelligent technologies that help clinicians qualitatively and quantitatively assess abnormal movement patterns and carry out personalized rehabilitation treatment. Our work was also aimed at summarizing the research and application of intelligent assessment techniques.
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