Assisted Rehabilitation System with Dynamic Feedback Control
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Solution Overview
Problem
Current rehabilitation systems for patients with limited lower extremity mobility lack the ability to accurately measure and adjust to individual patient performance, providing a standardized and programmable exercise plan tailored to each user's requirements, which is essential for effective rehabilitation, especially after hip or knee injuries or surgeries.
Innovation Solution
A system comprising a movement static exercise-bicycle-type device equipped with sensors to measure pedaling cadence, resistance, and pulse, along with two engines to adjust pedaling speed and resistance, allowing for personalized rehabilitation plans configured through a touchscreen interface, enabling systematic and programmable exercise routines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standardized exercise plans are used in rehabilitation, then device complexity is reduced, but patient-specific effectiveness deteriorates
Solution Approach 1:
The system incorporates sensors that continuously monitor patient performance parameters (cadence, resistance, pulse) and feed this data back to the control system. The control system automatically adjusts exercise parameters based on real-time feedback to optimize rehabilitation effectiveness for each patient's specific condition and progress level.
Solution Approach 2:
The exercise device transitions from static standardized programs to dynamic, real-time adjustments. The system can modify cadence, resistance, and exercise duration on-the-fly based on patient response, allowing the rehabilitation plan to adapt dynamically to individual needs and improvements.
2Measurement precision
If manual monitoring of patient performance is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system replaces manual monitoring methods with automated electronic sensors and digital measurement systems. Sensors automatically detect and record cadence, resistance, and physiological parameters, eliminating human error and subjectivity while providing precise, objective measurements of patient performance.
3Productivity
If automated adjustment of exercise parameters is implemented, then rehabilitation effectiveness is improved, but device complexity increases
Solution Approach 1:
The system performs self-adjustment of exercise parameters based on automated analysis of patient performance data. The control system independently evaluates sensor inputs and modifies cadence, resistance, and duration without requiring manual intervention, enabling the device to serve itself in optimizing rehabilitation protocols.
Data Source
AI summary
The present invention relates to an assisted rehabilitation system comprising a device with static-bicycle movement, and devices that automatically sense and manipulate body performance parameters, allowing the rehabilitation response process of a user to be optimised. In particular, the sensing devices measure the pedalling rate, the pedalling resistance and the user's pulse rate, allowing the optimum exercising range to be configured, depending on the data acquired from the patient and on the level of effort required from him or her. The system also comprises two motors. One motor drives a flywheel that allows the user to experience a variation in the pedalling rate while using the device. A second motor provides different levels of pedalling resistance, allowing muscular strength to be developed. When starting the activity, the user enters, on a touchscreen, the preliminary parameters for the desired pedalling rate and resistance level, which are analysed by a processing unit that calculates a suitable rehabilitation plan.