- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform
Frontiers in Human Neuroscience 9 (2015)
Abstract
This article has no associated abstract. (fix it)Author's Profile
Links
PhilArchive
External links
- From the Publisher via CrossRef (no proxy)
- europepmc.org
(no proxy) - hdl.handle.net (no proxy)
- journal.frontiersin.org (no proxy)
- journal.frontiersin.org [2] (no proxy)
- repository.ubn.ru.nl (no proxy)
- ncbi.nlm.nih.gov (no proxy)
- pure.ed.ac.uk (no proxy)
- research.ed.ac.uk (no proxy)
- research.ed.ac.uk [2] (no proxy)
Setup an account with your affiliations in order to access resources via your University's proxy server
Through your library
- Sign in / register and customize your OpenURL resolver
- Configure custom resolver
My notes
Similar books and articles
Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing.Athanasios Tsanas & Gari D. Clifford - 2015 - Frontiers in Human Neuroscience 9.
A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies.Péter Przemyslaw Ujma, Ferenc Gombos, Lisa Genzel, Boris Nikolai Konrad, Péter Simor, Axel Steiger, Martin Dresler & Rã³Bert Bã³Dizs - 2015 - Frontiers in Human Neuroscience 9.
Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis.Tarek Lajnef, Sahbi Chaibi, Jean-Baptiste Eichenlaub, Perrine M. Ruby, Pierre-Emmanuel Aguera, Mounir Samet, Abdennaceur Kachouri & Karim Jerbi - 2015 - Frontiers in Human Neuroscience 9.
Corrigendum: A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies.Péter P. Ujma, Ferenc Gombos, Lisa Genzel, Boris N. Konrad, Péter Simor, Axel Steiger, Martin Dresler & Róbert Bódizs - 2015 - Frontiers in Human Neuroscience 9.
Procedural replay: The anatomy and physics of the sleep spindle.Helene Sophrin Porte - 2005 - Behavioral and Brain Sciences 28 (1):79-80.
Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools.Christian O'Reilly & Tore Nielsen - 2015 - Frontiers in Human Neuroscience 9.
Complex continuous wavelet coherence for EEG microstates detection in insight and calm meditation.Jakub Kopal, Oldřich Vyšata, Jan Burian, Martin Schätz, Aleš Procházka & Martin Vališ - 2014 - Consciousness and Cognition 30:13-23.
The comparative value of continuous versus interrupted sleep.R. W. Husband - 1935 - Journal of Experimental Psychology 18 (6):792.
Genetic influence and cognitive abilities.Robert Plomin - 1998 - Behavioral and Brain Sciences 21 (3):420-421.
Controlled and automatic human information processing: Perceptual learning, automatic attending, and a general theory.Richard M. Shiffrin & Walter Schneider - 1977 - Psychological Review 84 (2):128-90.
Automated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies.Periklis Y. Ktonas & Errikos-Chaim Ventouras - 2014 - Frontiers in Human Neuroscience 8.
Neural constraints on cognition in sleep.Helene Sophrin Porte - 2000 - Behavioral and Brain Sciences 23 (6):994-995.
Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization.Laura B. Ray, Stéphane Sockeel, Melissa Soon, Arnaud Bore, Ayako Myhr, Bobby Stojanoski, Rhodri Cusack, Adrian M. Owen, Julien Doyon & Stuart M. Fogel - 2015 - Frontiers in Human Neuroscience 9.
Heart Rate Regulation Processed Through Wavelet Analysis and Change Detection: Some Case Studies.Nadia Khalfa, Pierre R. Bertrand, Gil Boudet, Alain Chamoux & Véronique Billat - 2012 - Acta Biotheoretica 60 (1-2):109-129.
Automatic Attendance Monitoring System.P. Padma Rekha, V. Narendhiran, D. Amudhan, S. Ramya & N. Pavithra - 2016 - International Journal for Science and Advance Research in Technology 2 (2):23-25.
Analytics
Added to PP
2016-06-30
Downloads
45 (#346,111)
6 months
11 (#225,837)
2016-06-30
Downloads
45 (#346,111)
6 months
11 (#225,837)
Historical graph of downloads
Author's Profile
Citations of this work
Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles.Roy Cox, Anna C. Schapiro, Dara S. Manoach & Robert Stickgold - 2017 - Frontiers in Human Neuroscience 11.
Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms.Min-Yin Liu, Adam Huang & Norden E. Huang - 2017 - Frontiers in Human Neuroscience 11.
References found in this work
A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies.Péter Przemyslaw Ujma, Ferenc Gombos, Lisa Genzel, Boris Nikolai Konrad, Péter Simor, Axel Steiger, Martin Dresler & Rã³Bert Bã³Dizs - 2015 - Frontiers in Human Neuroscience 9.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-7c76586df8-4c2ch uwo