Advanced search
Showing result 1 - 5 of 70 essays matching the above criteria.
-
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
-
2. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE
-
3. Exploring the genetic cause of myotonic dystrophy in horses
University essay from SLU/Dept. of Animal Breeding and GeneticsAbstract : Myotonic Dystrophy (MD) is an inherited neuromuscular disorder that leads to a wide range of clinical signs including stiffness, abnormal muscle relaxation, and muscle atrophy or hypertrophy. Affected muscles develop a prolonged contracture in response to percussion of the muscle and show waxing and waning complex repetitive discharges in electromyography (EMG). READ MORE
-
4. Development of a Mobile Phone Application for Measuring Muscle Shaking (tremor) in Order to Simplify Medical Diagnostics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : At the moment, there is no quick and easy method to measure muscle shaking (tremor) reliably. In order to avoid long waiting times for an Electromyography (EMG) investigation, this thesis aims to create an Android smartphone application capable of measuring muscle tremor at a moment’s notice. READ MORE
-
5. The data-driven CyberSpine : Modeling the Epidural Electrical Stimulation using Finite Element Model and Artificial Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Every year, 250,000 people worldwide suffer a spinal cord injury (SCI) that leaves them with chronic paraplegia - permanent loss of ability to move their legs. SCI interrupts axons passing along the spinal cord, thereby isolating motor neurons from brain inputs. To date, there are no effective treatments that can reconnect these interrupted axons. READ MORE