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Embedded recovery device for stroke

A rehabilitation device and embedded technology, applied in the field of medical rehabilitation, can solve problems such as high cost, inconvenient to carry, and poor practicability, and achieve the effects of low efficiency, efficient page update, and convenient upgrade

Inactive Publication Date: 2017-07-28
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because these systems usually use PCs for control and calculation, the cost is high and it is inconvenient to carry, and the practicability is not good

Method used

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  • Embedded recovery device for stroke
  • Embedded recovery device for stroke
  • Embedded recovery device for stroke

Examples

Experimental program
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Embodiment Construction

[0024] The present invention will be further described below in conjunction with drawings and embodiments.

[0025] Such as figure 1 and figure 2 As shown, an embedded rehabilitation device for stroke includes an EEG signal processing device and a rehabilitation device, and the EEG signal processing device is arranged inside the rehabilitation device; wherein the EEG signal processing device includes a wireless bluetooth receiver, an embedded single Board computer; the rehabilitation device includes a shell, an internal structure and an external structure, specifically including a pedal 15, a fixing belt 6, a pedal bracket 4, a ball screw 8, a linear guide 11, a base 3, a DC brushless motor 9, and a Hall sensor 7 , angle sensor 1;

[0026] The electroencephalogram signal processing device is used for feature extraction and classification processing on the electroencephalogram signal; the rehabilitation device is used for supporting the movement mechanism of the patient's li...

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Abstract

The invention discloses an embedded recovery device for strokes. The device comprises an electroencephalogram signal processing device and a recovery device, the electroencephalogram signal processing device is arranged inside the recovery device; the electroencephalogram signal processing device comprises a Bluetooth wireless receiver, and an embedded single board computer; the recovery device comprises a shell and an internal structure, and in particular comprises pedals, a fixing belt, pedal brackets, a ball screw rod, a linear guide rail, a base, a direct current brushless motor, a Hall sensor, and an angular transducer; the electroencephalogram signal processing device is used for the feature extraction and classified processing of the electroencephalogram signals; the recovery device is used as a movement mechanism for supporting patient bodies. According to the embedded recovery device for strokes, the embedded brain-computer interaction technology is used in the stroke recovery device, the shortcomings of being bulky in size, inconvenient to use and difficult to upgrade and optimize in the traditional machinery are overcome, and the device is particularly suitable for the long-term recovery of stroke patients with mobility difficulties and consciousness.

Description

technical field [0001] The invention belongs to the field of medical rehabilitation, and in particular relates to an embedded rehabilitation device used in the rehabilitation period of stroke patients. Background technique [0002] In the rehabilitation treatment of stroke, in addition to the necessary drug intervention and surgery, some rehabilitation training will greatly improve the curative effect. Because traditional rehabilitation equipment is only passive exercise therapy, it lacks active participation stimulation for patients. The emergence of brain-computer interface technology has injected new vitality into the research of active rehabilitation equipment. [0003] In recent years, some scientific research institutes at home and abroad have begun to conduct research on brain-computer interface rehabilitation robots. For example, Gao Xiaorong’s team at Tsinghua University used steady-state visual evoked potentials to construct a brain-computer interface method, and ...

Claims

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Application Information

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IPC IPC(8): A61H1/02A63B23/04A63B24/00A61B5/0476
CPCA61H1/0237A61H2201/1207A61H2201/164A61H2201/50A61H2201/5058A61H2201/5069A61H2205/10A61H2230/105A63B23/04A63B24/0075A63B24/0087A63B2220/00A63B2230/105A61B5/316A61B5/369
Inventor 张玮邓彬郭士杰孔万增寇思敏孙梦曾虹
Owner HANGZHOU DIANZI UNIV
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