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Intelligent module for obtaining reciprocating traction training parameters

A technology of training parameters and intelligent modules, applied in passive exercise equipment, physical therapy and other directions, can solve the problems of unhelpful, lack, lack of objective and effective parameters, etc., to achieve the effect of simple structure and easy implementation

Pending Publication Date: 2019-08-09
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows healthcare professionals to better train patients by monitoring their movements over longer periods while also providing objective evaluation on potential injuries caused due to poor or delayed treatment procedures.

Problems solved by technology

This patented technical solution described in this patents relates to improving physical condition during recovery from strokes or brain damage due to disease such as cerebral palsy (CP). Existing methods are limited but they may help with some symptoms that affect patient outcomes like walking up stairs or getting stuck indoors without actually doing them themselves. There's no way to accurately determine if these treatments will be beneficial based solely upon their effectiveness at reducing muscle tone and mobility issues associated with those injuries.

Method used

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  • Intelligent module for obtaining reciprocating traction training parameters
  • Intelligent module for obtaining reciprocating traction training parameters
  • Intelligent module for obtaining reciprocating traction training parameters

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Embodiment Construction

[0022] Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0023] The intelligent module for obtaining reciprocating stretching training parameters of the present invention includes an acceleration sensor and a gyroscope. The method for the intelligent module to obtain the training parameters includes calculating the motion stroke S and displacement S of the carrier along the pulling direction according to the acceleration signal returned by the acceleration sensor and the angular velocity signal returned by the gyroscope x , the maximum stroke S max , maximum displacement S xmax , minimum displacement S xmin , times of reciprocating motion, motion acceleration a′ x , moving speed V x At least one parameter in .

[0024] by figure 1 The pulley ring tr...

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Abstract

The invention discloses an intelligent module for obtaining reciprocating traction training parameters. The intelligent module comprises an acceleration sensor and a gyroscope. In use, the intelligentmodule for obtaining the reciprocating traction training parameters is installed on a carrier doing reciprocating traction movement, and the training parameter obtaining method of the intelligent module for obtaining reciprocating traction training parameters comprises the step that according to an acceleration signal fed back by the acceleration sensor and an angular speed signal fed back by thegyroscope, at least one of the movement stroke S, the displacement Sxz, the maximum stroke Smax, the maximum displacement Sxmax, the minimum displacement Sxmin, the number of reciprocating movement times, the movement acceleration a's and the movement speed Vx of the carrier in the traction direction is obtained. The structure is simple, convenience is brought to implementation, in the process that a patient uses a pulley hanging ring trainer and other similar traction movement rehabilitation devices to conduct upper limb rehabilitation training, the maximum training stroke, the number of reciprocating training times, the movement training speed, the traction force and the like of the patient can be monitored in real time, and a scientific reference is provided for rehabilitation physician to make a training plan.

Description

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Claims

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Application Information

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Owner HEFEI UNIV OF TECH
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