Subjects and methods The present pilot study is a case report on a single proband. Surface EMG (Noraxon) was recorded on one healthy subject during 3 resistive exercises using TheraBand (blue color). EMG activity during the agistic-excentric-exercises was analyzed on m. obliquus abdominis int., m. rectus abdominis, m. latissimus dorsi, m.erector spinae TH-L on the right and left side. The EMG a...

4.35k1.86 15.48f3.21 Abstract Previous research showed that whitening the surface electromyogram (EMC) can improve EMG amplitude estimation. However, conventional linear-filter whitening fails at low EMG amplitude levels, perhaps due to additive background noise in the measured EMG signal. This paper describes an adaptive whitening technique, effective at low EMG levels, that cascades a non-ada...

Amplitude and frequency content of the surface electromyographic (EMG) signal reflect central and peripheral modifications of the neuromuscular system. Classic surface EMG spectral variables applied to assess muscle functions are the centroid and median power spectral frequencies. More recently, nonlinear tools have been introduced to analyze the surface EMG; among them, the recurrence quantifi...

743 Abstract— An implementation for surface EMG network analysis and vertical control system of robotic arm is presented in this paper. The transmembranes are simulated by equivalent circuit and cable equation for propagation to be converted to circuit networks. The implementation is realized to be derived from the detecting EMG signal from 3 electrodes, and EMG transmembrane signals of human a...

The application of surface electromyography (EMG) to automatic speech recognition is a relatively new research field which has been developing rapidly in recent years. Previous works in this area were usually limited to distinguishing whole utterances, but a short time ago first systems to recognize continuous speech from EMG signals have been developed. To recognize continuous speech, one uses...

Metabolic rates can increase 21 times above resting levels during cycling with the majority attributed to muscular contractions. Metabolic estimates attained through gas exchange parameters are limited by the respiration rate and time delay with respect to these contractions. In contrast surface electromyography (EMG) contains instantaneous muscle contraction information at higher temporal reso...

Electromyography (EMG) is well suited for capturing static hand features involving relatively long and stable muscle activations. At the same time, inertial sensing can inherently capture dynamic features related to hand rotation and translation. This paper introduces a hand gesture recognition wristband based on combined EMG and IMU signals. Preliminary testing was performed on four healthy su...

This paper details a strategy of discriminating finger Gestures using surface electromyography (EMG) signals, which could be applied to controlling the advanced multi-fingered myoelectric prosthesis for hand amputees. Finger motions discrimination is the key problem in this study. The EMG signal classification system was established based on the surface EMG signals from the subject’s forearm. F...

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Abstract This study was performed to evaluate the relative significance of changes typical for muscle fatigue on quantitativ...

Acoustic myography is the recording of sounds produced by contracting muscle. These sounds become louder with increasing force of contraction. We have compared muscle sounds with surface EMG to monitor the dissociation of electrical from mechanical events (presumably, the loss of excitation-contraction coupling) which occur with motor unit fatigue. Acoustic signals were amplified using a standa...