Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals

This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sinha, Aniruddha, Chakravarty, Kingshuk, Khasnobish, Anwesha, Chatterjee, Debatri
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Sinha, Aniruddha
Chakravarty, Kingshuk
Khasnobish, Anwesha
Chatterjee, Debatri
description This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US10750972B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US10750972B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US10750972B23</originalsourceid><addsrcrecordid>eNqNirEOgjAQQFkcjPoP56aDCWIMcdWgbg7oTM5yBUzbI-2J4e_t4Ac4veS9N01e5RiEbAB0NViSlusAmj18cCBDAk8MVENLGDMPZMkJoJdOoxLwFB0a0J4txF2JZ1Zvw43Hvh1hVdwuawhd49CEeTLREbT4cZYsz8X9dN1QzxWFHhU5kupRbtN8nx7y7Jjt_nm-nK1BLQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals</title><source>esp@cenet</source><creator>Sinha, Aniruddha ; Chakravarty, Kingshuk ; Khasnobish, Anwesha ; Chatterjee, Debatri</creator><creatorcontrib>Sinha, Aniruddha ; Chakravarty, Kingshuk ; Khasnobish, Anwesha ; Chatterjee, Debatri</creatorcontrib><description>This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.</description><language>eng</language><subject>DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; SURGERY</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200825&amp;DB=EPODOC&amp;CC=US&amp;NR=10750972B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200825&amp;DB=EPODOC&amp;CC=US&amp;NR=10750972B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Sinha, Aniruddha</creatorcontrib><creatorcontrib>Chakravarty, Kingshuk</creatorcontrib><creatorcontrib>Khasnobish, Anwesha</creatorcontrib><creatorcontrib>Chatterjee, Debatri</creatorcontrib><title>Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals</title><description>This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.</description><subject>DIAGNOSIS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNirEOgjAQQFkcjPoP56aDCWIMcdWgbg7oTM5yBUzbI-2J4e_t4Ac4veS9N01e5RiEbAB0NViSlusAmj18cCBDAk8MVENLGDMPZMkJoJdOoxLwFB0a0J4txF2JZ1Zvw43Hvh1hVdwuawhd49CEeTLREbT4cZYsz8X9dN1QzxWFHhU5kupRbtN8nx7y7Jjt_nm-nK1BLQ</recordid><startdate>20200825</startdate><enddate>20200825</enddate><creator>Sinha, Aniruddha</creator><creator>Chakravarty, Kingshuk</creator><creator>Khasnobish, Anwesha</creator><creator>Chatterjee, Debatri</creator><scope>EVB</scope></search><sort><creationdate>20200825</creationdate><title>Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals</title><author>Sinha, Aniruddha ; Chakravarty, Kingshuk ; Khasnobish, Anwesha ; Chatterjee, Debatri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10750972B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>DIAGNOSIS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>Sinha, Aniruddha</creatorcontrib><creatorcontrib>Chakravarty, Kingshuk</creatorcontrib><creatorcontrib>Khasnobish, Anwesha</creatorcontrib><creatorcontrib>Chatterjee, Debatri</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sinha, Aniruddha</au><au>Chakravarty, Kingshuk</au><au>Khasnobish, Anwesha</au><au>Chatterjee, Debatri</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals</title><date>2020-08-25</date><risdate>2020</risdate><abstract>This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US10750972B2
source esp@cenet
subjects DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
title Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T21%3A41%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Sinha,%20Aniruddha&rft.date=2020-08-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS10750972B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true