Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions. Recently, sEMG potential has been shown, since it can be used in a non-invasive manner; nevertheless, it requires careful signal analysis to support health professionals reliably. This paper briefly described the basic concepts involved in the sEMG, such as the physiology of the muscles, the data acquisition, the signal processing techniques, and classification methods that may be used to identify disorders or signs of abnormalities according to muscular patterns. Specifically, classification methods encompass digital signal processing techniques and machine learning with high potential in the field. We hope that this work serves as an introduction to researchers interested in this field.
MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
National Yang Ming Chiao Tung University（国立阳明交通大学）；National Taiwan University（国立台湾大学）；University of Palermo（巴勒莫大学）；Academic Sinica（中央研究院）；Research Center for Information Technology Innovation（资讯科技创新研究中心）
Event-Based Estimation for Detrusor Pressure Using a Single Bladder Catheter Augmented with Abdominal Electromyography
Cleveland Clinic Lerner Research Institute（克利夫兰诊所勒纳研究所）；Glickman Urological and Kidney Institute（格里克曼泌尿与肾脏研究所）；Case Western Reserve University（凯斯西储大学）；Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University（凯斯西储大学电气、计算机与系统工程系）；Louis Stokes Cleveland Veterans Affairs Medical Center（路易斯·斯托克斯克利夫兰退伍军人事务医疗中心）；SRS Medical（SRS医疗公司）
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions
