Background and purpose: The aim of this study was to define quantitatively the spectrum content of the sleep pattern termed 'cyclic alternating pattern' (CAP) A phases, their scalp topography and their probable cortical generators, by using data from sleep polygraphic recordings that included a large number of scalp EEG channels. Patients and methods: Polysomnographic recording that include 19 EEG channels were obtained from 5 normal healthy young controls. After sleep staging, for each subject, 5 different CAP A phase subtype epochs were selected, which served for subsequent analysis. Following the analysis of power spectra calculated on the C4 channel by means of the fast Fourier transform, two different frequency bands were detected: ...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
Objective: The aim of this study is to provide an improved method for the automatic classification o...
Objective: The aim of this study is to provide an improved method for the automatic classification o...
Objective: To analyze in detail the frequency content of the different EEG components of the Cyclic ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
Objective: There is consolidated evidence that stage changes in sleep are closely related to spontan...
The cyclic alternating pattern (CAP) is a long-lasting periodic activity consisting of two alternate...
Cyclic alternating pattern CAP is the EEG marker of unstable sleep, a concept which is poorly apprec...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
Objective: The aim of this study is to provide an improved method for the automatic classification o...
Objective: The aim of this study is to provide an improved method for the automatic classification o...
Objective: To analyze in detail the frequency content of the different EEG components of the Cyclic ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic alternating ...
Objective: There is consolidated evidence that stage changes in sleep are closely related to spontan...
The cyclic alternating pattern (CAP) is a long-lasting periodic activity consisting of two alternate...
Cyclic alternating pattern CAP is the EEG marker of unstable sleep, a concept which is poorly apprec...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
The cyclic alternating pattern (CAP), that is, cyclic variation of brain activity within non-REM sle...
Objective: The aim of this study is to provide an improved method for the automatic classification o...
Objective: The aim of this study is to provide an improved method for the automatic classification o...