Pediatric Rehabilitation For Children With Cerebral Palsy Through Personalized Vibration Therapy Powered By Artificial Intelligence: An Innovative Approach To Reduce Spasticity And Improved Motor Function And Quality Of Life
Abstract
Background:This study explores the integration of AI-IoT in vibration treatment to improve personalized care for patients. Vibration treatment stimulates the body's stretch reflex, reducing muscle stiffness and improving motor function. The aim is to enhance the effectiveness of this treatment.Objective: The study aimed to explore personalized artificial intelligence-powered vibration therapy for pediatric cerebral palsy rehabilitation, aiming to reduce spasticity, enhance motor function, and enhance quality of life. Methods: The study compared AI-enhanced vibration therapy to conventional exercise therapy using a randomized controlled trial (RCT).[1] Participants were randomly assigned to either the AI-driven vibration therapy group or the control group, receiving regular exercise therapy. The ESP32 Microcontroller system evaluated ECG electrode data to modify vibration therapy parameters in real-time. Results: The study found significant differences in pre-post GMFM (Gross Motor Function Measure) symptoms between groups A and B. Group A showed a mean difference of -5.076, pre-post social well-being of -4.230, pre-post participation and health of -4.076, pre-post pain and impact of disability of 4.538, and pre-post pain and impact of disability of 2.07.Conclusion:The study compared AI-enhanced vibration therapy and traditional exercise therapy, finding AI-driven methods significantly reduced spasticity, improved motor function, and improved quality of life compared to the exercise-only control group.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0