Sökning: "HD-sEMG"

Hittade 4 uppsatser innehållade ordet HD-sEMG.

1. 1. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Haocheng Zhang; [2023]
   Nyckelord :data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

   Sammanfattning : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. LÄS MER

3. 2. High density EMG based estimation of lower limb muscle characteristics using feature extraction

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Balázs Szabó; [2021]
   Nyckelord :HD-EMG; feature extraction; lower limb; muscle characteristics;

   Sammanfattning : Electromyography (EMG) is a common tool in electrical muscle activity measurement and can be used in multiple areas of clinical and biomedical applications, mainly in identifying neuromuscular diseases, analyzing movement or in human machine interfaces. Traditionally a pair of electrodes were used to measure the signals, but in recent years the use of high density surface EMG (HD-sEMG) gained more popularity as it can sample myoelectric activities from multiple electrodes in an array on a single muscle and provide more information. LÄS MER

4. 3. Comparison of high density and bipolar surface EMG for ankle joint kinetics using machine learning

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Federica Aresu; [2021]
   Nyckelord :EMG; HD-sEMG; machine learning; joint torque;

   Sammanfattning : The relationship between sEMG signals and muscle force, and associated joint torque, is an object of study for clinical applications such as rehabilitation robotics and commercial applications as wearable motion control devices. The information type and quality obtained by sEMG can impact the classification and prediction accuracy of ankle joint torque. LÄS MER

5. 4. sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Alexander Olsson; [2018]
   Nyckelord :Electromyography; Machine Learning; Deep Learning; Gesture Recognition; Neural Networks; Technology and Engineering;

   Sammanfattning : In myoelectric prosthesis design, there is often a trade-off between control robustness and range of executable movements. As a low movement error rate is necessary in any real application, this often results in a quite severe limitation on the dexterity of the user. LÄS MER