Multimodal Sensory Feedback for Balance Rehabilitation
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Solution Overview
Problem
Current methods for assessing and treating balance disorders, particularly those resulting from mild traumatic brain injury (mTBI), are inefficient and labor-intensive, relying on subjective human observations and lacking objective measurements for vestibular system deficiencies and rehabilitation progress.
Innovation Solution
A system and method providing multimodal sensory feedback, including visual, auditory, and vibrotactile cues, to guide and assess balance rehabilitation, using a combination of sensors to measure biomechanical states and adaptively modify feedback during tasks, allowing for personalized and dynamic adjustment of therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective human observations are used for balance assessment, then the assessment can be performed with simple equipment, but the objectivity and precision of measurement are insufficient
Solution Approach 1:
The patent replaces subjective human observation with objective sensor-based measurement systems. Force plates, accelerometers, gyroscopes, and other sensors automatically capture biomechanical data, eliminating the need for therapist judgment and providing quantifiable, objective metrics for balance assessment.
Solution Approach 2:
The patent introduces computer-based systems as intermediaries between the patient's movement and the assessment process. The computer processes sensor data, applies algorithms to evaluate balance performance, and generates objective reports, serving as a mediator that transforms raw biomechanical signals into meaningful clinical assessments.
2Productivity
If therapist-directed exercises are used for balance rehabilitation, then the therapy can be customized to individual needs, but the process becomes labor-intensive and less efficient
Solution Approach 1:
The patent enables patients to perform balance exercises independently using the automated system. The computer provides real-time feedback through visual displays and haptic actuators, allowing patients to self-correct their movements and perform rehabilitation exercises without constant therapist supervision, thereby increasing productivity and reducing labor intensity.
Solution Approach 2:
The patent implements real-time feedback loops where sensors monitor patient performance, the computer processes the data, and immediate feedback is provided through visual displays or haptic actuators. This automated feedback mechanism replaces therapist direction, enabling efficient independent exercise performance while maintaining personalized therapy protocols.
3Adaptability or versatility
If static feedback methods are used for balance training, then the system is simpler to implement, but the ability to adapt to dynamic movement and changing patient needs is limited
Solution Approach 1:
The patent transitions from static to dynamic feedback systems. The system continuously tracks patient movement in real-time using sensors and adjusts feedback accordingly. Haptic actuators and visual displays dynamically modify feedback based on movement phase, speed, and direction, enabling the system to adapt to dynamic movements and changing patient needs throughout the rehabilitation process.
Solution Approach 2:
The patent employs periodic feedback delivery synchronized with the patient's movement cycle. The system detects movement phases and provides feedback at optimal moments within each cycle, creating a rhythmic interaction that enhances learning and adaptation while managing system complexity through structured timing patterns.
4Measurement precision
If comprehensive sensor arrays are deployed to measure biomechanical states, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple sensor types (force plates, accelerometers, gyroscopes, optical trackers) into an integrated measurement system. By merging these sensors into a coordinated network that shares data processing and control infrastructure, the system achieves comprehensive biomechanical measurement precision while managing overall device complexity through integration rather than separate systems.
Data Source
AI summary
The invention relates to a system and method for measuring the biomechanical state of a subject using various sensors simultaneously with providing the subject with visual exercises for rehabilitation and assessment of disequilibrium, balance and motion disorders. The biomechanical state of a subject is measured during the subject's performance of a predetermined task. Such measurements are useful for the assessment of disequilibrium, balance and motion disorders and are also useful for the determination of therapeutic application of vibrotactile, auditory, or visual feedback to a subject during the subject's attempt to perform a predetermined task. An intelligent controller compares the subject's biomechanical state to a predetermined parameter to determine a variance. If the variance exceeds a threshold, feedback in the form of visual feedback, vibrotactile feedback or auditory feedback may be provided to the subject as a therapeutic means for enabling the subject to compensate for disorder effects.