Electroencephalogram-Based Complexity Measures as Predictors of Post-operative Neurocognitive Dysfunction
Physiologic signals such as the electroencephalogram (EEG) demonstrate irregular behaviors due to the interaction of multiple control processes operating over different time scales. The complexity of this behavior can be quantified using multi-scale entropy (MSE). High physiologic complexity denotes...
Enregistré dans:
Auteurs principaux: | Leah Acker, Christine Ha, Junhong Zhou, Brad Manor, Charles M. Giattino, Ken Roberts, Miles Berger, Mary Cooter Wright, Cathleen Colon-Emeric, Michael Devinney, Sandra Au, Marty G. Woldorff, Lewis A. Lipsitz, Heather E. Whitson |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Frontiers Media S.A.
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/2e548e744be94fd4a5878c2569c3ea0b |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
The Complexity of Standing Postural Sway Associates with Future Falls in Community-Dwelling Older Adults: The MOBILIZE Boston Study
par: Junhong Zhou, et autres
Publié: (2017) -
A STUDY ON COMPARATIVE YIELDS OF STANDARD SHORT TERM ELECTROENCEPHALOGRAM AND LONG TERM ELECTROENCEPHALOGRAM RECORDING IN SUSPECTED EPILEPSY PATIENTS
par: Saima Shafait, et autres
Publié: (2021) -
Electroencephalogram Signatures of Agitation Induced by Sevoflurane and Its Association With Genetic Polymorphisms
par: Shuai Zhao, et autres
Publié: (2021) -
Analysis of Relationship between Electroencephalograms and Subjective Measurements for In-Vehicle Information System: A Preliminary Study
par: Nahyeong Kim, et autres
Publié: (2021) -
Interactive Smart Space for Single-Person Households Using Electroencephalogram through Fusion of Digital Twin and Artificial Intelligence
par: Seung Yeul Ji
Publié: (2021)