Upper Limb Rehabilitation Robot Active Passive Training Control

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Solution Overview

Problem

Current upper limb rehabilitation robots primarily offer passive training, lacking interaction and resulting in poor rehabilitation outcomes and patient experience.

Innovation Solution

An upper limb rehabilitation robot system that integrates a computer and rehabilitation robot, enabling active and passive training through real-time motion control, sensor data feedback, and virtual training environments, enhancing patient engagement and rehabilitation efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If passive training is used, then patient effort is reduced, but rehabilitation effectiveness and patient engagement deteriorate

Engineering Contradiction:
Improvepatient effortVSAvoidrehabilitation effectiveness
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system dynamically switches between passive and active training modes based on patient capability and therapeutic goals. The control system adjusts the level of robotic assistance in real-time, transitioning from fully passive movement to active patient-driven movement with varying degrees of support, thereby maintaining ease of operation while progressively improving rehabilitation effectiveness

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates real-time feedback mechanisms including force sensors to detect patient effort, position sensors to monitor movement accuracy, and visual feedback displays to engage patients. This feedback loop enables the system to assess patient performance and adjust training parameters dynamically, ensuring that passive training gradually transitions to active training while maintaining therapeutic effectiveness

Inventive Principle:
Principle #23Feedback

2Reliability

If active training is implemented, then patient engagement and rehabilitation effectiveness improve, but system complexity increases

Engineering Contradiction:
Improverehabilitation effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The robotic system is designed with multi-functionality to perform both passive and active training modes using the same hardware platform. The control software provides various training protocols and virtual reality scenarios that can be applied across different patient conditions, reducing the need for multiple specialized devices while maintaining high rehabilitation effectiveness

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces a virtual reality environment as an intermediary layer between the patient and the physical robot. This virtual interface enhances patient engagement and motivation without adding physical complexity to the robotic mechanism itself, allowing complex training scenarios to be implemented through software rather than hardware modifications

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If quantitative assessment is provided, then rehabilitation monitoring is improved, but information processing requirements increase

Engineering Contradiction:
Improverehabilitation monitoringVSAvoidinformation processing load
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system extracts and separates different types of assessment data (position, velocity, force, range of motion) into distinct measurement channels with dedicated processing algorithms. This modular approach to data extraction and processing allows precise quantitative assessment while managing information processing load by handling each parameter independently with optimized algorithms

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10596056B2Upper limb rehabilitation robot system
Publication Date: 2020.03.24 INST OF AUTOMATION CHINESE ACAD OF SCI
  • US10596056B2 patent drawing
  • US10596056B2 patent drawing
  • US10596056B2 patent drawing

AI summary

The present invention discloses an upper limb rehabilitation robot system comprising a computer (8) and a rehabilitation robot (7), wherein the computer (8) is used for performing information interaction (11) with the rehabilitation robot (7), recording training information, sending control command to the rehabilitation robot (7), showing the virtual training environment, providing rehabilitation training visual feedback (14), and showing the control interface and rehabilitation training information; wherein the rehabilitation robot (7), acting as a system actuator, is connected to the computer (8) for receiving the control command from the computer (8) to complete the motion control and terminal force output, and sending sensor data to the computer (8) at the same time. The upper limb rehabilitation robot system according to the present invention may provide a various ways of active and passive training of upper limb rehabilitation, which can enhance enthusiasm for trainings of a patient and increase the efficiency of rehabilitation.