"Sleep Stages Clustering Using Time and Spectral Features of EEG Signals"

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Book	Author(s)	Year	Publisher
Brain Seizure Detection and Classification Using EEG Signals	Varsha Harpale and Vinayak Bairagi	2021	Academic Press
Language Identification Using Spectral and Prosodic Features	K. Sreenivasa Rao; V. Ramu Reddy; Sudhamay Maity	2015	Springer International Publishing
Robust Emotion Recognition using Spectral and Prosodic Features	K. Sreenivasa Rao; Shashidhar G. Koolagudi	2013	Springer New York
Brain Signals: Physics and Mathematics of MEG and EEG	Risto J. Ilmoniemi; Jukka Sarvas	2019	The MIT Press,
Electroencephalography (EEG) of human sleep: clinical applications	Robert L. Williams, Ismet Karacan, Carolyn J. Hursch	1974	Wiley
Analysis and Classification of EEG Signals for Brain–Computer Interfaces	Szczepan Paszkiel	1st ed. 2020	Springer International Publishing
Analysis and implementation of Wigner distribution based spectral estimation techniques for time-varying signals	JoEllen Wilbur	1987
Time Series Clustering and Classification	Elizabeth Ann Maharaj; Pierpaolo D&s; Urso; Jorge Caiado	2019	Routledge
Biological Signals Relevant to Sleep	Ricardo A. Velluti	2000	S Karger Pub
Spectral Clustering and Biclustering - Learning Large Graphs and Contingency Tables	Marianna Bolla	2013	John Wiley & Sons
Signals and Systems using MATLAB	Luis Chaparro and Luis Chaparro	2011	Academic Press
Spectral Analysis of Signals: The Missing Data Case	Yanwei Wang; Jian Li; Petre Stoica		Springer International Publishing
Spectral analysis of signals: The missing data case	Wang Y., Li J., Stoica P.	2005	Morgan
Fundamentals of signals and systems using MATLAB /	Kamen, Edward W.; Heck, Bonnie S.	[1997], ©1997.	Prentice Hall,
Continuous-Time Signals	Yuriy Shmaliy	2006	Springer Netherlands
Customer segmentation and clustering using SAS Enterprise Miner	Randall S. Collica	2011	SAS
Customer Segmentation and Clustering Using SAS Enterprise Miner	Randall S. Collica	2017	SAS Institute
Imaging Brain Function With EEG: Advanced Temporal and Spatial Analysis of Electroencephalographic Signals	Walter Freeman; Rodrigo Quian Quiroga	2013	Springer New York
Quasi-real time translation of morse-coded signals using digital delay processing	William Alexander Hickey	1976	Naval Postgraduate School
Brain Source Localization Using EEG Signal Analysis	Munsif Ali Jatoi; Nidal Kamel	2017	Routledge
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Sleep Stages Clustering Using Time and Spectral Features of EEG Signals	J. L. Rodríguez-Sotelo; A. Osorio-Forero; A. Jiménez-Rodríguez; F. Restrepo-de-Mejía; D. H. Peluffo-Ordoñez; J. Serrano	Natural and Artificial Computation for Biomedicine and Neuroscience: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I	José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Javier Toledo Moreo; Hojjat Adeli	1st ed. 2017	Springer International Publishing
Sleep Apnea Diagnosis Using Complexity Features of EEG Signals	Behnam Gholami; Mohammad Hossein Behboudi; Ali Khadem; Afshin Shoeibi; Juan M. Gorriz	Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I	José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Hojjat Adeli	1st ed. 2022	Springer International Publishing
EEG Sleep Stages		Encyclopedia of Neuroscience	Marc D. Binder; Nobutaka Hirokawa; Uwe Windhorst	2009	Springer Berlin Heidelberg
Three Stages of Sleep EEG		Biopsychology	John P. J. Pinel; Steven J. Barnes	2018	Pearson Education, Limited
Three Stages of Sleep EEG		Biopsychology, Global Edition	John Pinel, Steven Barnes	2021	Pearson
Three Stages of Sleep EEG		Biopsychology	Pinel, John P J; Barnes, Steven(Contributor)	2017	Pearson
Classification of VEP-Based EEG Signals Using Time and Time-Frequency Domain Features	M. Bhuvaneshwari; E. Grace Mary Kanaga	Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2020	Jude Hemanth; Robert Bestak; Joy Iong-Zong Chen	1st ed. 2021	Springer Nature Singapore
GA/SVM for Diagnosis Sleep Stages Using Non-linear and Spectral Features	Maryam Vatankhah; Mohammad Reza Akbarzadeh Totonchi; Ali Moghimi; Vahid Asadpour	Soft Computing in Industrial Applications: Algorithms, Integration, and Success Stories	X.Z. Gao; António Gaspar-Cunha; Mario Köppen; Jun Wang; Gerald Schaefer	2010	Springer Berlin Heidelberg
Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features	D. E. Hernández; L. Trujillo; E. Z-Flores; O. M. Villanueva; O. Romo-Fewell	Computer Science and Engineering—Theory and Applications	Mauricio A. Sanchez; Leocundo Aguilar; Manuel Castañón-Puga; Antonio Rodríguez-Díaz	1st ed. 2018	Springer International Publishing
Product Features Categorization Using Constrained Spectral Clustering	Sheng Huang; Zhendong Niu; Yulong Shi	Natural Language Processing and Information Systems: 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, Proceedings	Elisabeth Métais; Farid Meziane; Mohamad Sararee; Vijayan Sugumaran; Sunil Vadera	2013	Springer Berlin Heidelberg
Investigation of New Statistical Features for BCI Based Sleep Stages Recognition through EEG Bio-signals	Ibrahim Sefik; Furkan Elibol; Ibrahim Furkan Ince; Ilker Yengin	Intelligent Computing in Bioinformatics: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings	De-Shuang Huang; Kyungsook Han; Michael Gromiha	2014	Springer International Publishing
Emotion Recognition Using Time-Frequency Distribution and GLCM Features from EEG Signals	Oscar Almanza-Conejo; Dora-Luz Almanza-Ojeda; Jose-Luis Contreras-Hernandez; Mario-Alberto Ibarra-Manzano	Pattern Recognition: 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings	Osslan Osiris Vergara-Villegas; Vianey Guadalupe Cruz-Sánchez; Juan Humberto Sossa-Azuela; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; José Arturo Olvera-López	1st ed. 2022	Springer International Publishing
Auditory Stimulation, Sleep Loss and the EEG Stages of Sleep	Harold L. Williams	Physiological Effects of Noise: Based upon papers presented at an international symposium on the Extra-Auditory Physiological Effects of Audible Sound, held in Boston, Massachusetts, December 2830, 1969, in conjunction with the annual meeting of the American Association for the Advancement of Science	Bruce L. Welch; Annemarie S. Welch	1970	Springer US
Clustering Signals Using Wavelets	Michel Misiti; Yves Misiti; Georges Oppenheim; Jean-Michel Poggi	Computational and Ambient Intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings	Francisco Sandoval; Alberto Prieto; Joan Cabestany; Manuel Graña	2007	Springer Berlin Heidelberg
Detection of Schizophrenia Using EEG Signals	Shalini Mahato; Laxmi Kumari Pathak; Kajal Kumari	Data Analytics in Bioinformatics - A Machine Learning Perspective	Rabinarayan Satpathy; Tanupriya Choudhury; Suneeta Satpathy; Sachi Nandan Mohanty; Xiaobo Zhang	2021	John Wiley & Sons
Stochastic Modelling and Optimal Spectral Estimation of EEG signals	Rachele Anderson; Maria Sandsten	EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017	Hannu Eskola; Outi Väisänen; Jari Viik; Jari Hyttinen	1st ed. 2018	Springer Nature Singapore
Arousal Recognition Using EEG Signals	Xiang Ji; Xiaomin Tong; Xinhai Zhang; Yunxiang Yang; Jing Guo; Bo Zhang et al.	Communications, Signal Processing, and Systems: Proceedings of the 2018 CSPS Volume II: Signal Processing	Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang	1st ed. 2020	Springer Nature Singapore
EEG Spectral Analysis of Wakefulness and Sleep in Cats	Ferrillo F.; Amore R.; Cavazza B.; Gasparetto B.; Rosadini G.	Sleep 1972: 1st European Congress on Sleep Research, Basel, October 1972Physiology, Biochemistry, Psychology, Pharmacology, Clinical Implications	W.P. Koella; P. Levin	1973-09-24	S. Karger AG
Detection of sleep stages in neonatal EEG records	Vladimir Krajca; Vaclava Piorecka; Hana Schaabova; Jan Strobl; Marek Piorecky; Lenka Lhotska et al.	EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017	Hannu Eskola; Outi Väisänen; Jari Viik; Jari Hyttinen	1st ed. 2018	Springer Nature Singapore
Segmentation of Heart Sound by Clustering Using Spectral and Temporal Features	Shah Khalid; Ali Hassan; Sana Ullah; Farhan Riaz	Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2019	Springer International Publishing
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