Stochastic Balance Perturbation Platform for Dynamic Gait Training
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Solution Overview
Problem
Conventional balance and gait perturbation systems fail to simulate real-life conditions effectively, as they lack the ability to generate dynamic and static instability, and cannot deliver random stimuli, limiting their effectiveness in testing and training for everyday scenarios.
Innovation Solution
A balance and gait perturbation system comprising a device with displaceable components and actuators controlled by a data processing unit to generate stochastic signals, creating dynamic and static instability, and allowing for adjustable perturbation levels and frequencies to mimic real-life conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional balance and gait perturbation systems are used, then the testing environment is stable and controlled, but the system cannot simulate real-life conditions with dynamic and static instability
Solution Approach 1:
The platform is designed to be dynamically adjustable, allowing it to transition from a stable state to an unstable state. The platform can apply controlled perturbations in multiple directions (anterior-posterior, medial-lateral, rotational) to simulate real-life instability conditions while maintaining overall system controllability. This resolves the contradiction by making the environment dynamically adaptable rather than statically fixed.
Solution Approach 2:
The system changes key parameters of the testing environment including platform tilt angle, perturbation frequency, amplitude, and direction. By adjusting these parameters, the system can simulate various real-life conditions (e.g., uneven terrain, slippery surfaces, sudden movements) while maintaining a controlled testing framework. This allows the environment to be versatile without completely losing stability control.
2Adaptability or versatility
If conventional perturbation systems are used, then the testing protocol is predictable and repeatable, but the system cannot deliver random stimuli to emulate real-life scenarios
Solution Approach 1:
The system employs periodic perturbations with variable frequency and amplitude that can be programmed to follow random or pseudo-random sequences. This allows the generation of unpredictable stimuli patterns that emulate real-life conditions while maintaining a structured, repeatable testing protocol through controlled parameter variation.
Solution Approach 2:
The system incorporates feedback mechanisms where platform sensors detect subject responses and adjust subsequent perturbations in real-time. This creates a adaptive testing protocol that can introduce randomness based on subject performance while maintaining overall reliability through controlled feedback loops and predefined perturbation sequences.
3Productivity
If the platform applies strong perturbations to simulate real-life instability, then the training effectiveness improves, but the safety risk to the subject increases
Solution Approach 1:
The platform uses dynamic perturbation application where the intensity, frequency, and duration of disturbances are continuously adjusted based on real-time subject performance and stability metrics. This allows the system to apply strong perturbations when appropriate for training effectiveness while reducing intensity when safety concerns arise, resolving the contradiction between training intensity and safety.
Solution Approach 2:
The system incorporates multiple safety feedback mechanisms including force sensors, motion capture, and subject monitoring that detect instability thresholds. When safety thresholds are approached, the system automatically reduces perturbation intensity or stops testing. This feedback control allows aggressive training protocols to be implemented while maintaining subject safety through real-time monitoring and adaptive adjustment.
Data Source
AI summary
A balance and/or gait perturbation system is disclosed herein. The balance and/or gait perturbation system includes a balance and/or gait perturbation device and a data processing device. The balance and/or gait perturbation device includes one or more displaceable components configured to be displaced at a plurality of different positions, and having one or more surfaces for receiving one or more respective limbs of the person; and one or more first actuators coupled to the one or more displaceable components to adjust the displacement position of the one or more displaceable components. The data processing device is configured to generate a stochastic signal for introducing a perturbation to the one or more displaceable components, and to control the displacement position of the one or more displaceable components using the stochastic signal such that the one or more displaceable components perturb a balance and/or gait of the person.