Modification of Joint Recurrence Quantification Analysis (JRQA) for assessing individual characteristics from short EEG time series-Reference-Cited by-同舟云学术

Modification of Joint Recurrence Quantification Analysis (JRQA) for assessing individual characteristics from short EEG time series

Published:2021-09 Issue:9 Volume:31 Page:093116
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Runnova Anastasiya¹²^ORCID,Selskii Anton¹²^ORCID,Emelyanova Elizaveta²^ORCID,Zhuravlev Maxim¹²^ORCID,Popova Margarita¹²^ORCID,Kiselev Anton¹³^ORCID,Shamionov Rail²^ORCID

Affiliation:

1. Institute of Cardiological Research, Saratov State Medical University, B. Kazachaya str., 112, Saratov 410012, Russia

2. Institute of Physics, Saratov State University, Astrakhanskaya str., 83, Saratov 410012, Russia

3. National Medical Research Center for Therapy and Preventive Medicine, 10, Petroverigsky per., Moscow 101953, Russia

Funder

Ministry of Science and Higher Education of the Russian Federation in the framework of the state assignment

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0055550

Reference46 articles.

1. Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence–based Stanford-STAGES algorithm

2. Towards a user-friendly sleep staging system for polysomnography part I: Automatic classification based on medical knowledge

3. Using ultrasound visual biofeedback to treat persistent primary speech sound disorders

4. A controlled study of the effects of EEG biofeedback on cognition and behavior of children with attention deficit disorder and learning disabilities

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