Gait classification method based on multi-sensor information fusion

A multi-sensor, classification method technology, applied in the direction of sensors, instruments, medical science, etc.

Active Publication Date: 2014-08-27
PEKING UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, due to the large subjective factors in this method, and the evaluation of gait feature information requires high accuracy, precision and objectivity, it will have a negative impact on the future diagnosis and rehabilitation of patients.

Method used

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  • Gait classification method based on multi-sensor information fusion
  • Gait classification method based on multi-sensor information fusion
  • Gait classification method based on multi-sensor information fusion

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Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0020] The gait classification method based on multi-sensor information fusion provided by the present invention comprises the following steps:

[0021] 1) Collect plantar pressure information and ankle joint angle information of several patients while walking;

[0022] In this embodiment, multi-sensor fusion technology is used to collect plantar pressure information and ankle joint angle information when the patient is walking, that is, the array pressure sensors are distributed on the patient's sole to collect the plantar pressure information when the patient is walking. The pressure information includes the plantar pressure value and the two-dimensional distribution of the pressure on the sole of the foot. The plantar pressure value includes the pressure value of each area on the sole of the foot, and the two-dimensional distribution of the pressur...

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Abstract

The invention relates to a gait classification method based on multi-sensor information fusion. The gait classification method includes the following steps that (1), plantar pressure information and ankle angle information in the walking process of multiple patients are collected; (2) according to the obtained plantar pressure information, gait stages of the patients are analyzed, the gait stages are divided into the stages of touching the ground with the feet and the stages of swinging the legs, and one gait cycle includes one stage of touching the ground with one foot and one stage of swinging the leg of the same foot of each patient; (3) a characteristic value of each gait cycle is set, so that gait characteristics of all the patients in the walking process are represented; (4), gait cluster analysis is performed on all the characteristic values of all the gait cycles of all the patients through a spectral clustering algorithm, so that the patients with the different gait characteristics are divided into different classifications. The patients are objectively classified, so that reference is provided for rehabilitation training and treatment of the patients, and a doctor can adopt different treatment modes and training intensities for the patients of the different classifications conveniently. The gait classification method can be widely used in the fields of gait analysis and medical rehabilitation.

Description

technical field [0001] The invention relates to a gait analysis method, in particular to a gait classification method based on multi-sensor information fusion (MSDF, Multi-sensor Data Fusion). Background technique [0002] The change of gait characteristic information reflects the change of human physiological function. In the process of rehabilitation treatment, obtaining accurate and credible gait characteristic information in time, and monitoring and evaluating gait characteristics for a long time has great significance for the diagnosis and treatment of some diseases. Important guiding significance, such as rehabilitation training for walking gait of stroke patients, gait correction training for patients with Parkinson's syndrome, rehabilitation guidance for patients with torn anterior cruciate ligament, etc. [0003] At present, in the field of medical clinical diagnosis, traditional gait analysis methods mainly rely on professional physicians to observe the patient's g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62A61B5/11
Inventor 张博王启宁王宁华王龙
Owner PEKING UNIV
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