background and purpose: disc herniation leading to radiculopathy is one of the important differential diagnosis of low back pain which needs specific medical care. radiculopathies can be initially diagnosed by history taking and physical examination. however role of other diagnostic methods like magnetic resonance imaging (mri) and electromyography (emg) in narrowing differential diagnosis is w...

Objectives: to evaluate the diagnostic value of external anal sphincter electromyography (EAS-EMG) and urethral sphincter electromyography (US-EMG) in patients with multiple system atrophy (MSA). Methods: 35 patients who were diagnosed as MSA were examined as treatment group, while 53 non-MSA patients were examined as control group, using EAS and US-EMG. Data was recorded and analyzed, includin...

AbstractBackgroundentity. It is hypothesized to result from abnormal patellar tracking caused by altered motorcontrol. Deficit in neuromotor control of the core may be a remote contributing factor to thedevelopment of PFP. Application of reliable EMG measures would be helpful to handle thistheory. Therefore, the purpose of this study was to determine the test-retest reliability of thecore and v...

We examine international stock return comovements using country-industry and country-style portfolios. We first establish that parsimonious risk-based factor models capture the covariance structure of the data better than the popular Heston-Rouwenhorst (1994) model. We then establish the following stylized facts regarding stock return comovements. First, we do not find evidence for an upward tr...

Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...

Electromyography (EMG) is the analytical study of electrical activity produced by skeletal muscles. EMG is an example of modern human computer interaction which can be used in the field of medicines and engineering. Through this paper we are going to discuss about different types of EMG-Surface EMG(SEMG)/surface scanning EMG and intramuscular/ indwelling (needle and fine-wire) EMG, the electric...

Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...