Essays about: "Elektromyografi"
Showing result 1 - 5 of 17 essays containing the word Elektromyografi.
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1. Multi-Parameter Modelling of Surface Electromyography Data
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. READ MORE
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2. Physical Exercise and Fatigue Detection using Machine Learning
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE
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3. Assessment of Shoulder Biomechanics during Pull-up Techniques
University essay from KTH/Medicinteknik och hälsosystemAbstract : CrossFit® has gained popularity as a functional training method that caters to individuals with varying levels of fitness, including those with little to no athletic background. Regardless, shoulders represent the highest injury rate in this sport, most frequently associated with pull-up variations. READ MORE
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4. Elastic Net Regression for Prosthesis Control in Short Residual Limb Amputees: Performance and Generalizability
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : This Master's thesis in Biomedical Engineering investigates the performance and generalizability of linear regression models in context of prosthesis control for short residual limb amputees. This thesis uses intramuscular electromyography data, and a regression and emplys a regression technique called Elastic Net Regression - a technique that combines L1 and L2-regularization - to predict 1-DOF isometric forces outputs from fingers and the wrist. READ MORE
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5. Exercise Classification with Machine Learning
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Innowearable AB has developed a product called Inno-XTM that calculates musclefatigue during three exercises: squat jumps, wall sit, and leg extension. Inno-X uses an accelerometer and a surface electromyography sensor. READ MORE