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Step frequency detection method and device based on multi-source information fusion

A multi-source information fusion and detection method technology, applied in the field of step frequency detection based on multi-source information fusion, can solve the problems of complex data processing, step frequency accuracy, difficult time guarantee, and high cost

Active Publication Date: 2018-07-27
SHANGHAI ELECTRICGROUP CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 1. Motion detection based on vision is targeted, has high hardware requirements, high cost, complex data processing, and difficult to guarantee the accuracy of step frequency and time
[0007] 2. Based on sensor signal processing such as Fourier transform or short-time Fourier transform of a single sensor signal, the extraction of patient's pace and frequency has non-real-time and insufficient accuracy

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  • Step frequency detection method and device based on multi-source information fusion
  • Step frequency detection method and device based on multi-source information fusion
  • Step frequency detection method and device based on multi-source information fusion

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Embodiment Construction

[0042] For the cadence detection of the rehabilitation robot system, most of the existing technologies need to configure sensors to detect the cadence, which will increase the system cost, and the detection algorithm based on Fourier transform has the characteristics of non-real-time. The method adopted in the present invention is a human cadence detection method based on multi-source information fusion.

[0043] figure 1 It is a flow chart of a method for detecting stride frequency based on multi-source information fusion according to a preferred embodiment of the present invention. Embodiments of the present method may be based on a lower limb rehabilitation robotic system, such as figure 2 As shown, the rehabilitation robot system includes: a pelvic mechanism 10 that moves up and down with the human body, a treadmill 20, a robot electronic control system 30, a display device 40, and the like.

[0044] Cadence detection is one of the functions of the rehabilitation robot ...

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Abstract

The invention discloses a step frequency detection method and device based on multi-source information fusion. The step frequency detection method includes the steps of acquiring a pelvic mechanism which moves up and down with the human body of a user, height data of the pelvic mechanism of a treadmill for the user to walk and current data of a motor of the treadmill; performing Kalman filtering on the acquired pelvic mechanism height data and the treadmill motor current data respectively, and using a variance weight average method to perform data fusion on the data obtained through the Kalmanfiltering to extract real-time step frequencies of the user in real time.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a cadence detection method and equipment based on multi-source information fusion. Background technique [0002] With the intensification of the aging degree of our society, the number of patients with lower extremity motor dysfunction caused by stroke is increasing. In addition, the number of patients with mental or physical injuries due to work-related injuries, traffic accidents, diseases, etc. has also increased significantly, which seriously affects the quality of life of patients and brings a great burden to the patient's family and society. Studies have shown that a certain degree of concentration and repetition training in time can repair the damaged central nervous system and help the recovery of lower limb motor function. Traditional rehabilitation training has shortcomings such as insufficient doctors, single equipment function and high cost, long rehabilitation perio...

Claims

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Application Information

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IPC IPC(8): A63B71/06A63B22/02G06F17/18G16H20/30
CPCA63B22/0235A63B71/0619A63B2220/64A63B2220/80G06F17/18
Inventor 张志明夏源程泓井申纯太
Owner SHANGHAI ELECTRICGROUP CORP