Innovative Exercise Analysis Technology Pioneered by Professor Yoshihiro Shimomura
Chiba University’s Professor Yoshihiro Shimomura is spearheading advancements in exercise analysis with his groundbreaking vMMG (visualized mechanomyography) system. This innovative technology utilizes electromyography (EMG) and mechanomyography (MMG) to provide real-time visualizations of muscle activity, allowing for unprecedented observations akin to magnifying a flower or inspecting an insect under a microscope.
The vMMG system employs a low-frequency microphone and LED indicators to visually capture muscle activity just beneath the skin. This advancement enables athletes and clinicians to understand muscle exertion, relaxation timing, and performance disparities, such as why some athletes can throw farther or run faster. In rehabilitation, visualization becomes crucial, empowering individuals to engage more effectively in their recovery.
The technology holds promise beyond athletics, contributing to the universal design of products for diverse users, such as the elderly and infants. By making previously invisible muscle activity visible, the potential for enhanced interactions across varied demographics expands significantly.
While EMG has traditionally been the standard for measuring muscle activity, MMG emerges as a simpler, equally effective alternative. MMG detects mechanical signals from muscle contractions, offering easier use and accessibility akin to using a stethoscope. This simplicity facilitates widespread application, allowing anyone to measure muscle activity without needing extensive training.
The vMMG system, developed alongside Master of Engineering Yuma Koza, integrates multiple components to create a comprehensive visualization and recording tool. As research continues, the team aims to address challenges like device miniaturization and visual clarity.
Shimomura’s groundbreaking work positions vMMG as a transformative tool for training, rehabilitation, and physical expression, potentially revolutionizing exercise analysis technologies for future applications.
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