Results 11 to 20 of about 740,292 (226)

Men and women with chronic insomnia disorder and OSAS: Different responses to CPAP [PDF]

Sleep Science, 2019
Objective: To evaluate the response to CPAP in patients with chronic insomnia disorder (CID) with OSAS in an unselected patient population including all OSAS severity groups.
Isabel Loução-de-Amorim, Carla Bentes, Ana Rita Peralta   +2 more
doaj   +1 more source

Dramaturgies of reality – shaping and being shaped by things

Nordic Journal of Art and Research, 2021
New dramaturgy expands beyond the theatre and stage, working on the ways in which things in each time and space are organised and produce meaning. I link this to object-oriented ontology (Morton, 2013; 2016; 2018) and the ethics of relating to things ...
Camilla Eeg-Tverbakk
doaj   +1 more source

Citizen Participation in Low-Carbon Energy Systems: Energy Communities and Its Impact on the Electricity Demand on Neighborhood and National Level

Energies, 2021
In this work, the main research question is how a high penetration of energy communities (ECs) affects the national electricity demand in the residential sector.
Sebastian Zwickl-Bernhard, Hans Auer
doaj   +1 more source

FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

Computational Intelligence and Neuroscience, 2010
This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data.
R. Oostenveld, P. Fries, E. Maris, J. Schoffelen   +3 more
semanticscholar   +1 more source

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG [PDF]

IEEE transactions on neural systems and rehabilitation engineering, 2017
This paper proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features, which require prior knowledge of sleep analysis.
A. Supratak, Hao Dong, Chao Wu, Yike Guo
semanticscholar   +1 more source

Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review

Neural computing & applications (Print), 2022
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement of portable non-invasive human sensor technologies, like brain–computer interfaces (BCI ...
Essam H. Houssein, A. Hammad, Abdelmgeid A. Ali   +2 more
semanticscholar   +1 more source

Physiotherapy in the treatment of infantile paralysis

South African Journal of Physiotherapy, 1949
No abstract available.
E. Eeg
doaj   +1 more source

Modelling Stochastic Electricity Demand of Electric Vehicles Based on Traffic Surveys—The Case of Austria

Energies, 2021
Battery-powered electric mobility is currently the most promising technology for the decarbonisation of the transport sector, alongside hydrogen-powered vehicles, provided that the electricity used comes 100% from renewable energy sources.
Albert Hiesl, Jasmine Ramsebner, Reinhard Haas   +2 more
doaj   +1 more source

The Isgur-Wise Function within a Modified Heavy-Light Chiral Quark Model [PDF]

, 2009
We consider the Isgur-Wise function xi(omega) within a new modified version of a heavy-light chiral quark model. While early versions of such models gave too small absolute value of the slope, namely xi'(1) of about -0.4 to -0.3, we show how extended ...
Eeg, Jan O., Kumericki, Kresimir
core   +4 more sources

Past, Present, and Future of EEG-Based BCI Applications

Italian National Conference on Sensors, 2022
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that provides a pathway between the brain and external devices by interpreting EEG.
Kaido Värbu, M. Naveed, Yar Muhammad
semanticscholar   +1 more source