A gait health assessment method and device
A technology for health assessment and gait, applied in reasoning methods, medical science, diagnosis, etc., can solve the problems of not considering individual differences, low accuracy, and gait assessment methods are susceptible to subjective influences, and achieve a stable and continuous gait. The effect of phase detection
Active Publication Date: 2021-11-09
BEIJING UNIV OF POSTS & TELECOMM
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[0007] The embodiment of the present invention provides a gait health assessment method and device, which are used to solve the defects in the prior art that the gait assessment method is easily influenced by subjectivity, has low precision, relies too much on complex instruments, and does not consider individual differences.
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[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0055] Aiming at the analysis and evaluation of human gait, the embodiment of the present invention designs a gait health evaluation method and device. Gait analysis needs to accurately segment the gait cycle. The embodiment of the present invention collects multiple pressure signals through multiple piezoelectric ceramic sensors, uses the ga...
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Embodiments of the present invention provide a gait health assessment method and device. The method comprises: acquiring a gait pressure signal, identifying the gait phase by adopting a fuzzy logic reasoning rule based on the gait pressure signal; recording the phase sequence of the gait phase; calculating the gait phase duration and the overall gait cycle according to the phase sequence interval; Based on the standard gait sequence of the Perry model, the abnormal gait cycle that deviates from the standard gait is counted according to the medical standard phase duration; the abnormal cycle ratio is obtained based on the abnormal gait cycle and the overall gait cycle, and the abnormal cycle ratio is used as the gait health Basis for evaluation. In the embodiment of the present invention, a fuzzy logic reasoning system is applied in the gait phase detection process to realize a smooth and continuous gait phase detection. The trapezoidal and triangular membership functions are used in the output membership function, and the personal gait phase sequence is not preset, fully considering The internal variability of individual gait is applicable to the gait assessment needs of various groups of people.
Description
technical field [0001] The invention relates to the technical field of biological feature recognition, in particular to a gait health assessment method and device. Background technique [0002] Walking is one of the most common daily activities. Whether the gait is healthy or not and how healthy it is can reflect the health status of the human body to a certain extent. Gait analysis is the recording and analysis of human kinematics and dynamics information, aiming to quantify and analyze the factors that control the function of the lower limbs during walking. Accurate gait phase recognition is the basis of personal gait analysis. Determining the gait cycle and the phase in the cycle and its duration can effectively reflect the health of the gait. [0003] The existing gait analysis methods include the following: [0004] (1) Qualitative analysis: mainly used in rehabilitation patients, relying on the qualitative analysis of experienced clinicians, the assessment of patient...
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IPC IPC(8): A61B5/11A61B5/103G06N5/04
CPCA61B5/1038A61B5/112G06N5/048
Inventor 高伟东杨益娜
Owner BEIJING UNIV OF POSTS & TELECOMM