首页|Studies from Universidad Autonoma de Guadalajara Have Provided New Data on Machi ne Learning (Embedded Machine Learning System for Muscle Patterns Detection in a Patient with Shoulder Disarticulation)
Studies from Universidad Autonoma de Guadalajara Have Provided New Data on Machi ne Learning (Embedded Machine Learning System for Muscle Patterns Detection in a Patient with Shoulder Disarticulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from Guadalaja ra, Mexico, by NewsRx journalists, research stated, “The integration of artifici al intelligence (AI) models in the classification of electromyographic (EMG) sig nals represents a significant advancement in the design of control systems for p rostheses.” Funders for this research include National Science And Technology Council. Our news reporters obtained a quote from the research from Universidad Autonoma de Guadalajara: “This study explores the development of a portable system that c lassifies the electrical activity of three shoulder muscles in real time for act uator control, marking a milestone in the autonomy of prosthetic devices. Utiliz ing low-power microcontrollers, the system ensures continuous EMG signal recordi ng, enhancing user mobility. Focusing on a case study-a 42-year-old man with lef t shoulder disarticulation- EMG activity was recorded over two days using a speci fically designed electronic board. Data processing was performed using the Edge Impulse platform, renowned for its effectiveness in implementing AI on edge devi ces. The first day was dedicated to a training session with 150 repetitions spre ad across 30 trials and three different movements. Based on these data, the seco nd day tested the AI model’s ability to classify EMG signals in new movement exe cutions in real time.”
Universidad Autonoma de GuadalajaraGua dalajaraMexicoNorth and Central AmericaCyborgsEmerging TechnologiesMac hine Learning
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