This article deals with the analysis of Uterine EMG (EHG) signal of a pregnant woman to reveal whether the delivery is going to be preterm or term. In the studied project, various linear and non-linear signal-processing techniques were applied to three-channel uterine EMG records to separate term and pre-term deliveries. The preterm and term signals are differentiated by performing some operati...

Body movements, from a short smile to marathon run, are driven by muscle activity. Despite the fact that measuring activity with electromyography (EMG) is technically well established, it highly complex and its use in interfaces has been limited. Easy access sensing can offer new opportunities Human-Computer Interaction (HCI) research. Off-the-shelf sensors often only provide low-level access, ...

Prosthetic care for handicapped persons requires new and reliable robotics technology. In this paper, developmental approaches for prosthetic applications are described. In addition, the challenges associated with the adaptation and control of materials for human hand prosthetics are presented. The new technology of robotics for prosthetics provides many possibilities for the detection of human...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Electromyography (EMG) is an electrodiagnostic technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG is performed using an instrument called an Electromyograph, to produce a record called an Electromyogram...

This work proposes a metaheuristic-based approach to hyperparameter selection in multilayer perceptron classify EMG signals. The main goal of the study is improve performance model by optimizing four important hyperparameters: number neurons, learning rate, epochs, and training batches. proposed this shows that optimization using particle swarm gray wolf optimizer significantly improves classif...

BACKGROUND/AIMS This work focuses on recording, processing and interpretation of multichannel surface EMG detected from the external anal sphincter muscle. The aim is to describe the information that can be extracted from signals recorded with such a technique. METHODS The recording of many signals from different locations on a muscle allows the extraction of additional information on muscle ...

Researchers and clinicians routinely rely on interference electromyograms (EMGs) to estimate muscle forces and command signals in the neuromuscular system (e.g., amplitude, timing, and frequency content). The amplitude cancellation intrinsic to interference EMG, however, raises important questions about how to optimize these estimates. For example, what should the length of the epoch (time wind...

An animal model was established for invivo studies of the EMG responses of a parturient uterine smooth muscle tissue to electrical stimuli. Five normally gravid sheep were fitted with implanted electrodes to register EMG signals and electrical stimulation. EMG signals were detected at the cervix and at the gravid horn. Spontaneous EMG activity was registered simultaneously with EMG responses to...

This paper reports on our recent research on surface electromyographic (EMG) speech synthesis: a direct conversion of the EMG signals of the articulatory muscle movements to the acoustic speech signal. In this work we introduce a unit selection approach which compares segments of the input EMG signal to a database of simultaneously recorded EMG/audio unit pairs and selects the best matching aud...