Interactive gait training and evaluation system based on multi-source information fusion for stroke patients

Abstract

The invention discloses an interactive gait training and evaluation system based on multi-source information fusion for stroke patients. The interactive gait training and evaluation system structurally comprises a pose acquisition module, a plantar pressure acquisition module, a fatigue information acquisition module, a wireless communication module, a data analysis and processing module, an intelligent cloud platform, an AR (augmented reality) helmet and a mobile terminal. The system aims at stroke patients with certain walking ability and can intelligently provide the patients with high-immersion interactive rehabilitation training game on the basis of the AR technology, and the gait rehabilitation training effect on the patients can be improved effectively; multi-dimensional gait information during rehabilitation training of the patients is acquired by a gait acquisition module and processed by the data analysis and processing module, processed information and data are transmitted to the mobile terminal through the wireless communication module, and gait evaluation results can be fed back to doctors and the patients in real time in a highly visualized manner; safety of the patients in the rehabilitation training process is guaranteed on the basis of muscle fatigue monitoring; the intelligent cloud platform can realize automatic tracking, evaluation and push of gait diseases.

Description

technical field [0001] The invention relates to the field of human gait training and evaluation, in particular to an interactive gait training and evaluation system for stroke patients based on multi-source information fusion. Background technique [0002] Gait is the behavior characteristic of human walking, which involves factors such as behavior habits, occupation, education, age and gender, and is also affected by many diseases; the control of gait is very complicated, including central command, body balance and coordination control, involving The coordinated movement of the joints and muscles of the lower limbs is also related to the posture of the upper limbs and trunk; any imbalance may affect walking and gait, and abnormalities may also be compensated or masked; gait evaluation is a check to study the regularity of walking The method aims to reveal the key links and influencing factors of abnormal gait through biomechanical and kinematic methods, so as to guide the r...

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Problems solved by technology

[0003] The gait of stroke patients is very different from that of normal people due to the damage of the central nervous system. By detecting the gait information of stroke patients and comparing it with the standard gait of normal people, it can help to accurately obtain the information of stroke patients. to overcome the problem that the traditional method cannot accurately give the condition of stroke patients during the entire rehabilitation training process only by visual observation; in addition, stroke patients are more prone to fatigue than normal people, and most patients' central nervous Nervous system function is damaged. During walking, the patient's brain cannot obtain feedback information about muscle activity in time. With the aggravation of fatigue, the muscle tension will increase significantly, causing serious consequences such as spasms and strains, which may easily cause muscle tension in the human body. Therefore, it is very important to detect the fatigue information of the patient's muscles online in real time

[0004] The patent with the publication number CN103505219 describes a human gait evaluation system and method, which collects data through three three-dimensional acceleration sensors, and sends the data to the terminal for analysis through wireless transmission, and gives the evaluation results in combination with the medical Tinetti evaluation table , but the system can only collect three-dimensional acceleration signals, the parameters are limited, there is no feedback mechanism for the patient's gait rehabilitation training function and muscle fatigue information, and it is also difficult to achieve long-term tracking and recording of the patient's rehabilitation training effect

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