Results 81 to 90 of about 11,374 (276)

Sensory System for Implementing a Human—Computer Interface Based on Electrooculography

Sensors, 2010
This paper describes a sensory system for implementing a human–computer interface based on electrooculography. An acquisition system captures electrooculograms and transmits them via the ZigBee protocol.
Sergio Ortega, Elena López, Jose Manuel Rodriguez-Ascariz, Luciano Boquete, Rafael Barea   +4 more
doaj   +1 more source

Deep transfer learning for improving single-EEG arousal detection

, 2020
Datasets in sleep science present challenges for machine learning algorithms due to differences in recording setups across clinics. We investigate two deep transfer learning strategies for overcoming the channel mismatch problem for cases where two ...
Jennum, Poul, Mignot, Emmanuel, Olesen, Alexander Neergaard, Sorensen, Helge B. D.   +3 more
core   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

EOG feature relevance determination for microsleep detection

Current Directions in Biomedical Engineering, 2017
Automatic relevance determination (ARD) was applied to two-channel EOG recordings for microsleep event (MSE) recognition. 10 s immediately before MSE and also before counterexamples of fatigued, but attentive driving were analysed.
Golz Martin, Wollner Sebastian, Sommer David, Schnieder Sebastian   +3 more
doaj   +2 more sources

EEG source imaging assists decoding in a face recognition task

, 2017
EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding.
Andersen, Michael Riis, Andersen, Rasmus S., Eliasen, Anders U., Hansen, Lars Kai, Hansen, Sofie Therese, Pedersen, Nicolai   +5 more
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Eye movements may cause motor contagion effects [PDF]

, 2016
When a person executes a movement, the movement is more errorful while observing another person’s actions that are incongruent rather than congruent with the executed action. This effect is known as “motor contagion”.
Constable, Merryn, de Grosbois, John, Lung, Tiffany, Pratt, Jay, Tremblay, Luc, Welsh, Timothy N.   +5 more
core   +1 more source

Auditory and Semantic Processing of Speech‐in‐Noise in Autism: A Behavioral and EEG Study

Autism Research, EarlyView.
ABSTRACT Autistic individuals often struggle to recognize speech in noisy environments, but the neural mechanisms behind these challenges remain unclear. Effective speech‐in‐noise (SiN) processing relies on auditory processing, which tracks target sounds amidst noise, and semantic processing, which further integrates relevant acoustic information to ...
Jiayin Li, Maleeha Sujawal, Zivile Bernotaite, Ian Cunnings, Fang Liu   +4 more
wiley   +1 more source

Freeze the BCI until the user is ready: a pilot study of a BCI inhibitor [PDF]

, 2011
In this paper we introduce the concept of Brain-Computer Interface (BCI) inhibitor, which is meant to standby the BCI until the user is ready, in order to improve the overall performance and usability of the system.
Bonnet, Laurent, George, Laurent, Lécuyer, Anatole   +2 more
core   +2 more sources

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source