A method is proposed for modifying the time constant of an EEG amplifier after the recording. It is based on digital filtering and works for single sweeps, averaged potentials, and other neurophysiological data, e.g. spontaneous EEG. The validation is based on calibration signals and data from a study on event-related potentials. DESCRIPTORS: Time constant. Slow potentials, Digital filtering. We present here a computer algorithm for the modification of the time constant of an EEG amplifier to any desired vaiue. This possibility is of interest in particular for researeh on slow potentials and to a somewhat lesser degree for the sponta-neous EEG: as has been pointed out by Duncan-Johnson and Donchin (1979), there is a great varia-bility in th...
Mathematical techniques are described for processing EEG signals associated with varying states of a...
EEG signals recorded by surface electrodes placed on the scalp can be thought as non- stationary sto...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
This study examines two basic problems in the evaluation of EEG activity; namely, the development of...
This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in p...
A standard counting task was used to illustrate the effect of the time constant of the recording sys...
Digital filtering is the process of transforming a discretely sampled input signal into an output si...
This paper describes a novel method to measure the temporal latency of electroencephalography (EEG) ...
Measurement methods, based on the approach named Digital Stochastic Measurement, have been introduce...
AbstractNew ideas are necessary to improve the quality of electroencephalogram (EEG) type bio-signal...
Several feature types have been used with EEG-based Brain-Computer Interfaces Among the most popular...
One goal of quantitative studies of physical phenomena consists in transforming a set of measured va...
Evoked potentials obtained by ensemble averaging may contain residual noise. This is not readily rem...
Electroencephalograms (EEGs) measure a brain signal that contains abundant information about the hum...
We recorded EEG from sites C3 and C4 in an experimental situation with internal counting-off of a 20...
Mathematical techniques are described for processing EEG signals associated with varying states of a...
EEG signals recorded by surface electrodes placed on the scalp can be thought as non- stationary sto...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
This study examines two basic problems in the evaluation of EEG activity; namely, the development of...
This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in p...
A standard counting task was used to illustrate the effect of the time constant of the recording sys...
Digital filtering is the process of transforming a discretely sampled input signal into an output si...
This paper describes a novel method to measure the temporal latency of electroencephalography (EEG) ...
Measurement methods, based on the approach named Digital Stochastic Measurement, have been introduce...
AbstractNew ideas are necessary to improve the quality of electroencephalogram (EEG) type bio-signal...
Several feature types have been used with EEG-based Brain-Computer Interfaces Among the most popular...
One goal of quantitative studies of physical phenomena consists in transforming a set of measured va...
Evoked potentials obtained by ensemble averaging may contain residual noise. This is not readily rem...
Electroencephalograms (EEGs) measure a brain signal that contains abundant information about the hum...
We recorded EEG from sites C3 and C4 in an experimental situation with internal counting-off of a 20...
Mathematical techniques are described for processing EEG signals associated with varying states of a...
EEG signals recorded by surface electrodes placed on the scalp can be thought as non- stationary sto...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...