Improved muscle mapping could aid neurological treatment
Researchers from Carnegie Mellon University have developed a cutting-edge method to identify muscle activity in densely ...
IEEE25d
MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
Abstract: Surface electromyography (sEMG) recordings can be contaminated by electrocardiogram (ECG) signals when the monitored muscle is closed to the heart. Traditional signal processing-based ...
Frontiers28d
Upper Limb Stroke Rehabilitation Using Surface Electromyography: A Systematic Review and Meta-Analysis
Different technologies based on surface electromyography (sEMG) have been used in stroke rehabilitation, but there is no collated evidence on the different sEMG-driven interventions and their effect ...
Windows Central29d
The Surface Laptop 7 makes the new MacBook Air M4 seem like a bad deal
MacBook Air in hand. (Image credit: iMore) In a lot of ways, the new MacBook Air feels like a reaction to the Surface Laptop 7 and the Copilot+ PC launch as a whole. It now has 16GB RAM in the ...
IEEE2mon
Hand Gesture Recognition From Surface Electromyography Signals With Graph Convolutional Network and Attention Mechanisms
However, GCN methods have been rarely studied for hand gesture recognition (HGR) using surface electromyography (sEMG) because it is challenging to define a reliable topology across implicit muscle ...
GitHub1y
Linux Surface
These days, Linux supports a lot of devices out-of-the-box. As a matter of fact, this includes a good portion of the Microsoft Surface devices—for most parts at least. So why would you need a special ...
Frontiers3y
Dynamic Gesture Recognition Using Surface EMG Signals Based on Multi-Stream Residual Network
Our MResLSTM algorithm can effectively perform dynamic gesture recognition. The result of surface EMG signal decoding is applied to the controller, which can improve the fluency of artificial hand ...