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ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with functions of communication and autonomous navigation movement

A rehabilitation robot and autonomous navigation technology, applied in passive exercise equipment, informatics, sports accessories, etc., can solve the problems of adjusting rehabilitation training plans, unable to monitor patients' rehabilitation in real time, increasing the labor force of medical staff, etc., to save human resources Cost, ease of query and tracking, and the effect of improving space utilization

Pending Publication Date: 2019-05-31
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to cerebral palsy or lower limb injury, the rehabilitation subjects cannot independently complete the lower limb rehabilitation training. Therefore, medical staff with certain nursing knowledge are often required to carry out auxiliary rehabilitation training for the patients, but rehabilitation is a gradual process, and the required repetitive workload It is very large, and it takes a lot of manpower and financial resources to use professionals for artificial assisted rehabilitation; more importantly, when medical staff train patients, they often cannot accurately control the training intensity and time, and cannot monitor the patient's rehabilitation. Real-time monitoring also fails to record the results of each rehabilitation, resulting in untimely feedback of repeated training and treatment effects, which is not conducive to effective adjustment of rehabilitation training plans by medical staff according to the recovery effects of ICU patients
[0004] The current rehabilitation robots need to be moved manually, which increases the labor force of medical staff, and the training mode is single, and the needs of patients in various rehabilitation stages cannot be met. Only part of the joints of the patient can be rehabilitated at a time, so the training results are often unsatisfactory.

Method used

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  • ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with functions of communication and autonomous navigation movement
  • ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with functions of communication and autonomous navigation movement
  • ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with functions of communication and autonomous navigation movement

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Experimental program
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Embodiment Construction

[0034] Before the rehabilitation training starts, the user needs to register and enter the login interface of the rehabilitation evaluation system, and enter the login name and password; after successful login, enter the rehabilitation evaluation interface, which includes serial communication module information, rehabilitation evaluation module information, control system information and other information , medical staff conduct a preliminary analysis of the patient's recovery by observing the information displayed on the interface.

[0035] Based on the measurement data and evaluation results, the rehabilitation evaluation system can automatically give the patient's lower limb rehabilitation exercise training plan; the attending doctor can also formulate the patient's lower limb rehabilitation exercise training according to the comprehensive data such as the rehabilitation evaluation result, the last exercise time and angle sorted out by the system Program, and set the exercis...

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Abstract

The invention discloses an ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with the functions of communication and autonomous navigation movement. The robot structurally comprises a lower limb rehabilitation exoskeleton, a human body sign data collection module, a data processing module, a human-computer interaction module, a motion control module and an autonomous navigation moving chassis, and evaluation and coordinated rehabilitation training on all joints of the two lower limbs can be achieved; the data collection module collects motion and physiological data of the joints of the lower limbs and sends the data to the data processing module, the data processing module gives out a rehabilitation evaluation result of a patient and related motion data anduploads the result and the data to a cloud platform, and the cloud platform generates a personalized treatment scheme through clustering analysis; the human-computer interaction module sends an instruction to the motion control module to control the lower limb exoskeleton and guide the patient in rehabilitation training; the autonomous navigation moving chassis adopts Mecanum wheel design, indoorand outdoor navigation is achieved through the combination of GPS, vision and laser navigation, obstacle avoidance is achieved through ultrasonic detection, and the autonomous moving capability of therobot is improved.

Description

technical field [0001] The invention belongs to the field of medical rehabilitation equipment, and in particular relates to a lower limb rehabilitation robot for patients with bilateral cerebral palsy in the intensive care unit, which is used to realize the rehabilitation evaluation and coordinated rehabilitation training of the patients in the intensive care unit for both lower limbs. Background technique [0002] Rehabilitation medicine studies have shown that if patients with bilateral cerebral palsy or lower limb injuries do not perform training for a long time, it will be difficult to recover due to "expensive" muscle atrophy. Carry out physical rehabilitation training to help them restore normal function of their limbs. [0003] Due to cerebral palsy or lower limb injury, the rehabilitation subjects cannot independently complete the lower limb rehabilitation training. Therefore, medical staff with certain nursing knowledge are often required to carry out auxiliary reha...

Claims

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Application Information

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IPC IPC(8): A61H1/02A63B23/04A63B24/00A63B71/06G16H20/30G16H50/30G16H40/60
Inventor 任海川段航琪李嘉刘艳红孙翔宇麻晓东刘青林闫家玉张静张冰涛
Owner ZHENGZHOU UNIV
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