NDLI: Processing of Multichannel Recordings for Data-Mining Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Shmiel, O. Shmiel, T. Dagan, Y. Teicher, M.
Copyright Year	1964
Abstract	Data Mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing large quantity of data in order to extract meaningful knowledge. Data mining methods are used in many studies to identify phenomena quicker and better than human experts. One class of these methods was designed for dealing with time series data. However, when several channels of data are collected simultaneously, data mining algorithms encounter numerous difficulties since channels may be measured in different units, may be recorded at different sampling-rates, or may have completely different characteristics. Furthermore, as the size of these data increases, the amount of irrelevant data usually increases as well and the process becomes impractical. Hence, in such cases, the analyst must be capable of focusing on the informational parts while ignoring the noise data. These kinds of difficulties complicate the analysis of multichannel data as compared to the analysis of single-channel data. This paper presents a useful technique for preprocessing multi channel data. Our technique supplies tools for coping with all the above-mentioned difficulties, and prepares the data for further analysis (using common algorithms, especially from the data mining field). The paper is divided as follows. After the introduction (Section I) we describe the state of the art (Section II), follows by the main section-methodology (Section III) which is divided to four steps (3.2-3.5). The results are described in a separate section (Section IV). Then, a discussion and conclusions of the proposed methodology are given in (Sections V and VI). Acknowledgements and the references follow
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	1481216
Starting Page	444
Ending Page	453
File Format	PDF
ISSN	00189294
Volume Number	54
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Displays Data mining Data analysis Sleep Gallium nitride Electroencephalography Algorithm design and analysis Mathematics Computer science Laboratories signal discretization multichannel multi-channel multivariable recordings signal quantization
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Signal processing in prolonged EEG recordings during intensive care

An Iterative Learning Algorithm for Multi-Channel Coherence Analysis

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

Decomposition algorithms for analysing brain signals

A Symmetric Orthogonal FastICA Algorithm and Applications in EEG

Nonlinear Analysis of Anesthesia Dynamics by Fractal Scaling Exponent

Independent component approach to the analysis of EEG and MEG recordings

Rhythmic component extraction for multi-channel EEG data analysis

Learning event-related potentials (ERPs) from multichannel EEG recordings: A spatio-temporal modeling framework with a fast estimation algorithm

Processing of Multichannel Recordings for Data-Mining Algorithms

Similar Documents

Signal processing in prolonged EEG recordings during intensive care

An Iterative Learning Algorithm for Multi-Channel Coherence Analysis

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

Decomposition algorithms for analysing brain signals

A Symmetric Orthogonal FastICA Algorithm and Applications in EEG

Nonlinear Analysis of Anesthesia Dynamics by Fractal Scaling Exponent

Independent component approach to the analysis of EEG and MEG recordings

Rhythmic component extraction for multi-channel EEG data analysis

Learning event-related potentials (ERPs) from multichannel EEG recordings: A spatio-temporal modeling framework with a fast estimation algorithm

Processing of Multichannel Recordings for Data-Mining Algorithms