Results 211 to 220 of about 9,577 (247)
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Independent component extraction methods in biosignal processing

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
The paper discusses methods for independent source identification within multiple channels electroencephalographical (EEG) signals recordings. The focus is to compare the independent component analysis (ICA) technique to a novel proposed method for individual components separation - the phase space method (PSM).
C, Bigan, M, Woolfson
openaire   +2 more sources

Biosignal Processing

2012
Digital Biomedical Signal Acquisition and Processing Luca T. Mainardi, Anna M. Bianchi, and Sergio Cerutti Time-Frequency Signal Representations for Biomedical Signals G. Faye Boudreaux-Bartels and Robin Murray Multivariate Spectral Analysis of Electroencephalogram: Power, Coherence, and Second-Order Blind Identification Ramesh Srinivasan and Siyi Deng
openaire   +1 more source

Biosignal and Image Processing in Telemedicine

2022
Bio-signals are signals that are recorded from the human body which can be electrical (e.g., ECG), electroencephalogram (EEG), electromyogram (EMG), and so on. Analyzation can be carried out by storing these signals, which will be helpful for monitoring.
null Vasanth Raj P. T.   +4 more
openaire   +1 more source

Conference state estimation by biosignal processing

CHI '04 Extended Abstracts on Human Factors in Computing Systems, 2004
This paper discusses a conference state estimation method that uses only biosignal processing; linguistic understanding is avoided. In conventional dialogue communication research, the physiological characteristic of "entrainment" between the participants has been already reported.
Masamichi Hosoda   +3 more
openaire   +1 more source

Feature Reduction in Biosignal Processing

2008
Feature reduction is common in biosignal analysis, especially in case of quantitative EEG analysis. Mostly, summation in the spectral domain is applied to reduce the number of estimated power spectral density values, which gains between four and twelve band power values.
Martin Golz, David Sommer
openaire   +1 more source

Recording and Processing of Biosignals

2011
Measuring is the experimental determination of a measured value by quantitative comparison of the measurand with a comparison value. The measured value obtained by this procedure is given as a product of a numeric value and a dimensional unit. It can be recorded continuously as a temporal variation of a physical value or discontinuously at particular ...
Klaus-Peter Hoffmann, Florian Solzbacher
openaire   +1 more source

Biosignal Processing

2022
Stefan Bernhard   +2 more
openaire   +2 more sources

BioKIT — real-time decoder for biosignal processing

Interspeech 2014, 2014
We introduce BioKIT, a new Hidden Markov Model based toolkit to preprocess, model and interpret biosignals such as speech, motion, muscle and brain activities. The focus of this toolkit is to enable researchers from various communities to pursue their experiments and integrate real-time biosignal interpretation into their applications.
Telaar, D.   +11 more
openaire   +1 more source

Instrumentation, Acquisition and Signal Processing for Biosignals

2019
Summer School of Biomedical Signal and Image Acquisition, Processing and Analysis at Jade ...
Campos, Gerardo Marx Chávez   +1 more
openaire   +1 more source

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