Sökning: "Biomedical Signal Processing"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Biomedical Signal Processing.
1. Detection of driver sleepiness during daylight and darkness
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Driving sleepiness is a serious problem worldwide. It is of interest to develop reliable sleepiness detection systems to implement in vehicles, and for such a system both physi-ological data and driver performance data can be used. LÄS MER
2. Elastic Net Regression for Prosthesis Control in Short Residual Limb Amputees: Performance and Generalizability
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : 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. LÄS MER
3. Neurotactile Integration
Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : The field of neural representation of sensory integration is an advanced topic with complex processes. The mechanisms of the brain are far from fully understood and are in need of further development to be implemented in clinical usages such as neuroprosthetics. LÄS MER
4. Applicerbarhet av Scaled Reassigned Spectrogram for Transient Signals (ReSTS) på ultraljudssignaler från biologisk vävnad
Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : The possibility of being able to examine the inside of the human body is the foundation of today’s medical diagnostics. This can be done through different imaging systems, where ultrasound is one of the most important imaging methods used. LÄS MER
5. Programmable Address Generation Unit for Deep Neural Network Accelerators
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Convolutional Neural Networks are getting more and more popular due to their applications in revolutionary technologies like Autonomous Driving, Biomedical Imaging, and Natural Language Processing. With this increase in adoption, the complexity of underlying algorithms is also increasing. LÄS MER