Feature Extraction and Bio Signals
A learning calculation is stood up to with the goal of picking the capabilities and to concentrate on the component determination issue. In Brain-Computer Interface pattern recognition and machine learning systems utilize a classifier, but the additionally incorporate extraction and determination pr...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 80 |
---|---|
container_issue | |
container_start_page | 69 |
container_title | |
container_volume | 1 |
creator | Judith A., Mary Priya, S. Baghavathi Kanya, N. Chatterjee, Jyotir Moy |
description | A learning calculation is stood up to with the goal of picking the capabilities and to concentrate on the component determination issue. In Brain-Computer Interface pattern recognition and machine learning systems utilize a classifier, but the additionally incorporate extraction and determination procedures to show the signs in a smaller and more appropriate manner. Adaptive common spatial patterns are compelling for patients with hearing difficulty and for crippled patients. Adaptive Common spatial patterns (CSP) patches refer to the capability of the CSP analysis to make small arrangements of channels and the blending of features. Band power features refers to the signs power for a particular repeat band in a given channel, which is clear up at the midpoint or over a specific timeframe. Channel strategies rely upon proportions of association between the capabilities and the objective independent of the classifier used. |
doi_str_mv | 10.1201/9780429330131-6 |
format | Book Chapter |
fullrecord | <record><control><sourceid>proquest_infor</sourceid><recordid>TN_cdi_proquest_ebookcentralchapters_6367831_83_88</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6367831_83_88</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1078-2fcb096bb75fd2f863ce4d33c59ff3b3a5cef23a735327b2aa53e639195ccbdf3</originalsourceid><addsrcrecordid>eNpVkD1PwzAYhI0QCFo6s0bsAft9Y8cZoWoLUiUGYLZsx4ZAiMFO-fj3uCpLp5NOukd3R8g5o5cMKLtqakkraBApQ1aKAzLbcw7JhKKokQOiPCYTBsB5JVHiCZml9EopRQaCyeqUXCydHjfRFYufMWo7dmEo9NAWN10oHrrnQffpjBz5LG72r1PytFw8zm_L9f3qbn69LjtGa1mCt4Y2wpia-xa8FGhd1SJa3niPBjW3zgPq3AuhNqA1RyewYQ231rQepwR23I8YPjcujcqZEN6sG3Kz3r7oj9HFpESeJpEpiUrKHFrtQt3gQ3zX3yH2rRr1bx-ij3qwXdpCkmJUbb9Te08pob4yM48G_AOl_mHb</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC6367831_83_88</pqid></control><display><type>book_chapter</type><title>Feature Extraction and Bio Signals</title><source>Ebook Central - Academic Complete</source><source>eBooks on EBSCOhost</source><creator>Judith A., Mary ; Priya, S. Baghavathi ; Kanya, N. ; Chatterjee, Jyotir Moy</creator><contributor>Rathore, Pramod Singh ; Le, Dac-Nhuong ; Chatterjee, Jyotir Moy ; Kumar, Abhishek ; Agrawal, Rashmi</contributor><creatorcontrib>Judith A., Mary ; Priya, S. Baghavathi ; Kanya, N. ; Chatterjee, Jyotir Moy ; Rathore, Pramod Singh ; Le, Dac-Nhuong ; Chatterjee, Jyotir Moy ; Kumar, Abhishek ; Agrawal, Rashmi</creatorcontrib><description>A learning calculation is stood up to with the goal of picking the capabilities and to concentrate on the component determination issue. In Brain-Computer Interface pattern recognition and machine learning systems utilize a classifier, but the additionally incorporate extraction and determination procedures to show the signs in a smaller and more appropriate manner. Adaptive common spatial patterns are compelling for patients with hearing difficulty and for crippled patients. Adaptive Common spatial patterns (CSP) patches refer to the capability of the CSP analysis to make small arrangements of channels and the blending of features. Band power features refers to the signs power for a particular repeat band in a given channel, which is clear up at the midpoint or over a specific timeframe. Channel strategies rely upon proportions of association between the capabilities and the objective independent of the classifier used.</description><edition>1</edition><identifier>ISBN: 0367352338</identifier><identifier>ISBN: 0367625717</identifier><identifier>ISBN: 9780367352332</identifier><identifier>ISBN: 9780367625719</identifier><identifier>EISBN: 9780429330131</identifier><identifier>EISBN: 9781000221886</identifier><identifier>EISBN: 9781000221787</identifier><identifier>EISBN: 1000221784</identifier><identifier>EISBN: 1000221881</identifier><identifier>EISBN: 0429330138</identifier><identifier>DOI: 10.1201/9780429330131-6</identifier><identifier>OCLC: 1225548383</identifier><identifier>LCCallNum: R859.7.A78 .A373 2020</identifier><language>eng</language><publisher>United Kingdom: CRC Press</publisher><ispartof>Machine Learning for Healthcare, 2021, Vol.1, p.69-80</ispartof><rights>2021 Taylor & Francis Group, LLC</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/6367831-l.jpg</thumbnail><link.rule.ids>775,776,780,789,24761,27904</link.rule.ids></links><search><contributor>Rathore, Pramod Singh</contributor><contributor>Le, Dac-Nhuong</contributor><contributor>Chatterjee, Jyotir Moy</contributor><contributor>Kumar, Abhishek</contributor><contributor>Agrawal, Rashmi</contributor><creatorcontrib>Judith A., Mary</creatorcontrib><creatorcontrib>Priya, S. Baghavathi</creatorcontrib><creatorcontrib>Kanya, N.</creatorcontrib><creatorcontrib>Chatterjee, Jyotir Moy</creatorcontrib><title>Feature Extraction and Bio Signals</title><title>Machine Learning for Healthcare</title><description>A learning calculation is stood up to with the goal of picking the capabilities and to concentrate on the component determination issue. In Brain-Computer Interface pattern recognition and machine learning systems utilize a classifier, but the additionally incorporate extraction and determination procedures to show the signs in a smaller and more appropriate manner. Adaptive common spatial patterns are compelling for patients with hearing difficulty and for crippled patients. Adaptive Common spatial patterns (CSP) patches refer to the capability of the CSP analysis to make small arrangements of channels and the blending of features. Band power features refers to the signs power for a particular repeat band in a given channel, which is clear up at the midpoint or over a specific timeframe. Channel strategies rely upon proportions of association between the capabilities and the objective independent of the classifier used.</description><isbn>0367352338</isbn><isbn>0367625717</isbn><isbn>9780367352332</isbn><isbn>9780367625719</isbn><isbn>9780429330131</isbn><isbn>9781000221886</isbn><isbn>9781000221787</isbn><isbn>1000221784</isbn><isbn>1000221881</isbn><isbn>0429330138</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2021</creationdate><recordtype>book_chapter</recordtype><recordid>eNpVkD1PwzAYhI0QCFo6s0bsAft9Y8cZoWoLUiUGYLZsx4ZAiMFO-fj3uCpLp5NOukd3R8g5o5cMKLtqakkraBApQ1aKAzLbcw7JhKKokQOiPCYTBsB5JVHiCZml9EopRQaCyeqUXCydHjfRFYufMWo7dmEo9NAWN10oHrrnQffpjBz5LG72r1PytFw8zm_L9f3qbn69LjtGa1mCt4Y2wpia-xa8FGhd1SJa3niPBjW3zgPq3AuhNqA1RyewYQ231rQepwR23I8YPjcujcqZEN6sG3Kz3r7oj9HFpESeJpEpiUrKHFrtQt3gQ3zX3yH2rRr1bx-ij3qwXdpCkmJUbb9Te08pob4yM48G_AOl_mHb</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Judith A., Mary</creator><creator>Priya, S. Baghavathi</creator><creator>Kanya, N.</creator><creator>Chatterjee, Jyotir Moy</creator><general>CRC Press</general><general>CRC Press LLC</general><scope>FFUUA</scope></search><sort><creationdate>2021</creationdate><title>Feature Extraction and Bio Signals</title><author>Judith A., Mary ; Priya, S. Baghavathi ; Kanya, N. ; Chatterjee, Jyotir Moy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1078-2fcb096bb75fd2f863ce4d33c59ff3b3a5cef23a735327b2aa53e639195ccbdf3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Judith A., Mary</creatorcontrib><creatorcontrib>Priya, S. Baghavathi</creatorcontrib><creatorcontrib>Kanya, N.</creatorcontrib><creatorcontrib>Chatterjee, Jyotir Moy</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Judith A., Mary</au><au>Priya, S. Baghavathi</au><au>Kanya, N.</au><au>Chatterjee, Jyotir Moy</au><au>Rathore, Pramod Singh</au><au>Le, Dac-Nhuong</au><au>Chatterjee, Jyotir Moy</au><au>Kumar, Abhishek</au><au>Agrawal, Rashmi</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Feature Extraction and Bio Signals</atitle><btitle>Machine Learning for Healthcare</btitle><date>2021</date><risdate>2021</risdate><volume>1</volume><spage>69</spage><epage>80</epage><pages>69-80</pages><isbn>0367352338</isbn><isbn>0367625717</isbn><isbn>9780367352332</isbn><isbn>9780367625719</isbn><eisbn>9780429330131</eisbn><eisbn>9781000221886</eisbn><eisbn>9781000221787</eisbn><eisbn>1000221784</eisbn><eisbn>1000221881</eisbn><eisbn>0429330138</eisbn><abstract>A learning calculation is stood up to with the goal of picking the capabilities and to concentrate on the component determination issue. In Brain-Computer Interface pattern recognition and machine learning systems utilize a classifier, but the additionally incorporate extraction and determination procedures to show the signs in a smaller and more appropriate manner. Adaptive common spatial patterns are compelling for patients with hearing difficulty and for crippled patients. Adaptive Common spatial patterns (CSP) patches refer to the capability of the CSP analysis to make small arrangements of channels and the blending of features. Band power features refers to the signs power for a particular repeat band in a given channel, which is clear up at the midpoint or over a specific timeframe. Channel strategies rely upon proportions of association between the capabilities and the objective independent of the classifier used.</abstract><cop>United Kingdom</cop><pub>CRC Press</pub><doi>10.1201/9780429330131-6</doi><oclcid>1225548383</oclcid><tpages>12</tpages><edition>1</edition></addata></record> |
fulltext | fulltext |
identifier | ISBN: 0367352338 |
ispartof | Machine Learning for Healthcare, 2021, Vol.1, p.69-80 |
issn | |
language | eng |
recordid | cdi_proquest_ebookcentralchapters_6367831_83_88 |
source | Ebook Central - Academic Complete; eBooks on EBSCOhost |
title | Feature Extraction and Bio Signals |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T19%3A31%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Feature%20Extraction%20and%20Bio%20Signals&rft.btitle=Machine%20Learning%20for%20Healthcare&rft.au=Judith%20A.,%20Mary&rft.date=2021&rft.volume=1&rft.spage=69&rft.epage=80&rft.pages=69-80&rft.isbn=0367352338&rft.isbn_list=0367625717&rft.isbn_list=9780367352332&rft.isbn_list=9780367625719&rft_id=info:doi/10.1201/9780429330131-6&rft_dat=%3Cproquest_infor%3EEBC6367831_83_88%3C/proquest_infor%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780429330131&rft.eisbn_list=9781000221886&rft.eisbn_list=9781000221787&rft.eisbn_list=1000221784&rft.eisbn_list=1000221881&rft.eisbn_list=0429330138&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6367831_83_88&rft_id=info:pmid/&rfr_iscdi=true |