Results 11 to 20 of about 147,211 (301)

Toward subtle intimate interfaces for mobile devices using an EMG controller [PDF]

, 2005
Using a mobile device in a social context should not cause embarrassment and disruption to the immediate environment. Interaction with mobile and wearable devices needs to be subtle, discreet and unobtrusive.
Costanza, Enrico, Samuel A. Inverso, Enrico Costanza, Rebecca Allen, Inverso, Samuel A., Allen, Rebecca   +5 more
core   +2 more sources

EMG-EMG coherence and harmonicity correlation.

, 2022
EMG-EMG coherence in the alpha bands is significantly correlated with harmonicity of non-dominant effector combined from both groups. The negative value of correlation coefficient indicates an inverse relationship between EMG-EMG coherence and ...
Osmar Pinto Neto (14008998), Traver Wright (7154096), Roberto Castro (10399631), Madison M. Weinrich (14009001), Yiyu Wang (9903873), Deanna M. Kennedy (14009004)   +5 more
core   +1 more source

Human Gesture Recognition Method Based on Vision and EMG Signal Information [PDF]

Zhengzhou Daxue xuebao. Gongxue ban, 2021
Aiming at the problem of variety and accuracy of gesture recognition in human-computer interaction, a gesture recognition method was proposed based on fusion features of visual histogram of orientation gradient (HOG) and time-domain features of ...
Peng Jinzhu, Dong Mengchao, Yang Yang
doaj   +1 more source

EMG–EMG coherence in writer's cramp

Movement Disorders, 2002
AbstractWe investigated the extent to which oscillatory drives to muscle, believed to arise mainly from the motor cortex, are exaggerated and/or fail to react normally to peripheral stimulation in writer's cramp. We used the coherence between active forearm flexor and intrinsic hand muscles as our index of such drives before and after digital nerve ...
Cordivari, C, Lees, A, Misra, V, Brown, P   +3 more
openaire   +3 more sources

Simulation of surface EMG signals generated by muscle tissues with in-homogeneity due to fiber pinnation [PDF]

, 2004
Surface electromyographic (EMG) signal modeling has important applications in the interpretation of experimental EMG data. Most models of surface EMG generation considered volume conductors homogeneous in the direction of propagation of the action ...
Farina, D., FARINA D., Mesin, Luca
core   +1 more source

Singularity characteristics of needle EMG IP signals [PDF]

, 2006
This is the post-print version of the Article - Copyright @ 2006 IEEEClinical electromyography (EMG) interference pattern (IP) signals can reveal more diagnostic information than their constituents, the motor unit action potentials (MUAPs). Singularities
Meng, Hongying, Forster, A., Meng, H, Abel, E, Holder, D., Abel, E. W., Forster, A, Holder, D   +7 more
core   +1 more source

Patterns of EMG–EMG coherence in limb dystonia

Movement Disorders, 2004
AbstractDystonia of the limbs may be due to a wide range of aetiologies and may cause major functional limitation. We investigated whether the previously described pathological 4 to 7 Hz drive to muscles in cervical dystonia is present in patients with aetiologically different types of dystonia of the upper and lower limbs.
Grosse, P, Edwards, M, Tijssen, M, Schrag, A, Lees, A, Bhatia, K, Brown, P   +6 more
openaire   +3 more sources

Advances in surface EMG signal simulation with analytical and numerical descriptions of the volume conductor [PDF]

, 2004
Surface electromyographic (EMG) signal modeling is important for signal interpretation, testing of processing algorithms, detection system design, and didactic purposes. Various surface EMG signal models have been proposed in the literature.
FARINA D, Martina, S., MARTINA S., Farina, D, Mesin, Luca   +4 more
core   +1 more source

Clinical utility of contact heat evoked potentials (CHEPs) in a case of mentalis nerve lesion

Clinical Neurophysiology Practice, 2018
Objective: Nociceptive evoked potentials are still infrequently used in electrodiagnostic studies of single patients. We report a case in which the results of contact heat evoked potentials (CHEPs) provided unique information for the diagnosis.
Amparo Lugo, Ada Ferrer-Fuertes, Lilia Isabel Correa, Michela Campolo, Jordi Casanova-Molla, Josep Valls-Sole   +5 more
doaj   +1 more source

The classification of EMG signals using machine learning for the construction of a silent speech interface. [PDF]

The Young Researcher, 2021
With 7.5 million people unable to speak due to various physical and mental conditions, patients are forced to use cumbersome/inefficient devices such as eye/cheek trackers. In this study, a speech aid known as a Silent-Speech-Interface (SSI) was created.
Chandrashekhar, V.
doaj