A novel balance training system using multimodal biofeedback
| Autor: | Min-Kyun Oh, Hye Young Choi, Muhammad Raheel Afzal, Jungwon Yoon |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Male 030506 rehabilitation medicine.medical_specialty Visual perception medicine.medical_treatment Movement Biomedical Engineering Postural stability Biofeedback Haptic biofeedback Biomaterials 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation medicine Postural Balance Humans Radiology Nuclear Medicine and imaging Balance (ability) Haptic technology Radiological and Ultrasound Technology Research Multimodal biofeedback Biofeedback Psychology General Medicine Torso Trunk medicine.anatomical_structure Touch Perception Personal computer Physical therapy Visual Perception Balance training system Female Smartphone 0305 other medical science Psychology 030217 neurology & neurosurgery Visual biofeedback |
| Zdroj: | BioMedical Engineering |
| ISSN: | 1475-925X |
| Popis: | Background A biofeedback-based balance training system can be used to provide the compromised sensory information to subjects in order to retrain their sensorimotor function. In this study, the design and evaluation of the low-cost, intuitive biofeedback system developed at Gyeongsang National University is extended to provide multimodal biofeedback for balance training by utilization of visual and haptic modalities. Methods The system consists of a smartphone attached to the waist of the subject to provide information about tilt of the torso, a personal computer running a purpose built software to process the smartphone data and provide visual biofeedback to the subject by means of a dedicated monitor and a dedicated Phantom Omni® device for haptic biofeedback. For experimental verification of the system, eleven healthy young participants performed balance tasks assuming two distinct postures for 30 s each while acquiring torso tilt. The postures used were the one foot stance and the tandem Romberg stance. For both the postures, the subjects stood on a foam platform which provided a certain amount of ground instability. Results Post-experiment data analysis was performed using MATLAB® to analyze reduction in body sway. Analysis parameters based on the projection of trunk tilt information were calculated in order to ascertain the reduction in body sway and improvements in postural control. Two-way analysis of variance (ANOVA) showed no statistically significant interactions between postures and biofeedback. Post-hoc analysis revealed statistically significant reduction in body sway on provision of biofeedback. Subjects exhibited maximum body sway during no biofeedback trial, followed by either haptic or visual biofeedback and in most of the trials the multimodal biofeedback of visual and haptic together resulted in minimization of body sway, thus indicating that the multimodal biofeedback system worked well to provide significant (p |
| Databáze: | OpenAIRE |
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