Rehabilitation action standard evaluation method based on sensor
A sensor and motion technology, applied in the field of rehabilitation training, can solve problems such as difficulty in obtaining accurate judgment of rehabilitation motions, and achieve the effect of improving the efficiency of rehabilitation treatment, ensuring the effectiveness, and promoting the progress of rehabilitation
Inactive Publication Date: 2020-12-11
QINGDAO UNIV
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Problems solved by technology
It solves the problem that it is difficult to accurately judge the rehabilitation actions performed by patients with limb dysfunction
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Embodiment 1
[0015] A sensor-based evaluation method for upper limb rehabilitation movement standards, specifically comprising the following steps:
[0016] S1. According to the accuracy of the degree of completion, the rehabilitation training is divided into N levels, and each level is trained M times. During the training process, the movement data of each training is collected by sensors. The movement data includes several variables over time. An action sequence composed of changing two-dimensional arrays, each training session is used as a sample to form a sample set including N×M samples.
[0017] For example, for each rehabilitation action, according to the accuracy of the degree of completion, it is divided into three levels of good, general and poor for 90 training sessions, of which 30 training sessions are performed for good, general and poor. The training action sequence, each training as a sample, constitutes a sample set including 90 samples.
[0018] S2. The action sequence o...
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The invention discloses an upper limb rehabilitation action standard evaluation method based on a sensor. The method is characterized in that firstly, according to the accuracy of a completion degree,rehabilitation training is divided into N levels for training, and a sample set is obtained; then, an action sequence of each variable in the rehabilitation training process of a patient is obtainedthrough the sensor and serves as a to-be-evaluated action sequence, a standardized distance between the to-be-evaluated action sequence corresponding to each variable and the action sequence corresponding to each sample in the sample set is calculated through a DTW algorithm, and the sum of standardized distances corresponding to a plurality of variables is obtained; and finally, the sum of the standardized distances is input into a KNN classifier, and the category to which most of the first K samples with the smallest standardized distance from the to-be-evaluated action sequence in the rehabilitation training process of the patient belong is the category of the to-be-evaluated action. According to the method, patient rehabilitation training action data is collected by the sensor, the real-time and accurate effects are achieved, doctors do not need to perform rehabilitation action standard analysis one by one, and the workload and medical cost of the doctors are reduced.
Description
Technical field: [0001] The invention belongs to the technical field of rehabilitation training, and in particular relates to a standard evaluation method for rehabilitation actions of sensors. Background technique: [0002] Physical rehabilitation: the general term for the treatment methods to improve movement disorders through active movement, the main content includes joint range of motion training, muscle strength training and posture correction training. Limb rehabilitation movement training refers to the method of using purposeful and selected movement activities as treatment methods to improve and supplement the patient's limb function. Quality is an ideal way to help patients return to their families and society. Physical rehabilitation requires the professional guidance of physicians, and patients need to go to specialized rehabilitation institutions for rehabilitation training, which not only limits the time and space of patients' rehabilitation training, but also...
Claims
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Login to View More IPC IPC(8): A63B71/06G06K9/62G16H20/30G16H50/20A61B5/11
CPCA63B71/06G16H20/30G16H50/20A61B5/1126A61B5/4836G06F18/24147
Inventor 苗盛党禹锟李苏东
Owner QINGDAO UNIV