Upper limb movement direction neural decoding method and device

The invention discloses an upper limb movement direction neural decoding method and device based on Riemannian metric. The method comprises the following steps: extracting electroencephalogram signal feature information from a neural signal in an upper limb movement direction in a movement task proc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: XIA SHENGCHAO, BI LUZHENG, FEI WEIJIE, WANG JIARONG
Format: Patent
Sprache:chi ; 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 XIA SHENGCHAO
BI LUZHENG
FEI WEIJIE
WANG JIARONG
description The invention discloses an upper limb movement direction neural decoding method and device based on Riemannian metric. The method comprises the following steps: extracting electroencephalogram signal feature information from a neural signal in an upper limb movement direction in a movement task process through Riemannian metric; and recognizing the movement direction of the upper limbs by using the electroencephalogram features based on Riemannian metrics. According to the method, the upper limb motion intention analysis model is established through the electroencephalogram signal characteristic information based on Riemannian metrics, so that the analysis model can obtain stable motion intention analysis performance in cognitive concentration and cognitive distraction states, which is very important for rehabilitation and assistance. Meanwhile, a new thought is provided for research on upper limb motion decoding, and a basis is provided for further research on man-machine collaborative interaction. 本发明公开了一种基
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113171111A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113171111A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113171111A3</originalsourceid><addsrcrecordid>eNrjZLAPLShILVLIycxNUsjNL0vNTc0rUUjJLEpNLsnMz1PISy0tSsxRSElNzk_JzEtXyE0tychPUUjMSwGKlWUmp_IwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDY0NzQyBwNCZGDQCUhzDM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Upper limb movement direction neural decoding method and device</title><source>esp@cenet</source><creator>XIA SHENGCHAO ; BI LUZHENG ; FEI WEIJIE ; WANG JIARONG</creator><creatorcontrib>XIA SHENGCHAO ; BI LUZHENG ; FEI WEIJIE ; WANG JIARONG</creatorcontrib><description>The invention discloses an upper limb movement direction neural decoding method and device based on Riemannian metric. The method comprises the following steps: extracting electroencephalogram signal feature information from a neural signal in an upper limb movement direction in a movement task process through Riemannian metric; and recognizing the movement direction of the upper limbs by using the electroencephalogram features based on Riemannian metrics. According to the method, the upper limb motion intention analysis model is established through the electroencephalogram signal characteristic information based on Riemannian metrics, so that the analysis model can obtain stable motion intention analysis performance in cognitive concentration and cognitive distraction states, which is very important for rehabilitation and assistance. Meanwhile, a new thought is provided for research on upper limb motion decoding, and a basis is provided for further research on man-machine collaborative interaction. 本发明公开了一种基</description><language>chi ; eng</language><subject>DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; SURGERY</subject><creationdate>2021</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=20210727&amp;DB=EPODOC&amp;CC=CN&amp;NR=113171111A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210727&amp;DB=EPODOC&amp;CC=CN&amp;NR=113171111A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XIA SHENGCHAO</creatorcontrib><creatorcontrib>BI LUZHENG</creatorcontrib><creatorcontrib>FEI WEIJIE</creatorcontrib><creatorcontrib>WANG JIARONG</creatorcontrib><title>Upper limb movement direction neural decoding method and device</title><description>The invention discloses an upper limb movement direction neural decoding method and device based on Riemannian metric. The method comprises the following steps: extracting electroencephalogram signal feature information from a neural signal in an upper limb movement direction in a movement task process through Riemannian metric; and recognizing the movement direction of the upper limbs by using the electroencephalogram features based on Riemannian metrics. According to the method, the upper limb motion intention analysis model is established through the electroencephalogram signal characteristic information based on Riemannian metrics, so that the analysis model can obtain stable motion intention analysis performance in cognitive concentration and cognitive distraction states, which is very important for rehabilitation and assistance. Meanwhile, a new thought is provided for research on upper limb motion decoding, and a basis is provided for further research on man-machine collaborative interaction. 本发明公开了一种基</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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAPLShILVLIycxNUsjNL0vNTc0rUUjJLEpNLsnMz1PISy0tSsxRSElNzk_JzEtXyE0tychPUUjMSwGKlWUmp_IwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDY0NzQyBwNCZGDQCUhzDM</recordid><startdate>20210727</startdate><enddate>20210727</enddate><creator>XIA SHENGCHAO</creator><creator>BI LUZHENG</creator><creator>FEI WEIJIE</creator><creator>WANG JIARONG</creator><scope>EVB</scope></search><sort><creationdate>20210727</creationdate><title>Upper limb movement direction neural decoding method and device</title><author>XIA SHENGCHAO ; BI LUZHENG ; FEI WEIJIE ; WANG JIARONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113171111A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</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>XIA SHENGCHAO</creatorcontrib><creatorcontrib>BI LUZHENG</creatorcontrib><creatorcontrib>FEI WEIJIE</creatorcontrib><creatorcontrib>WANG JIARONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XIA SHENGCHAO</au><au>BI LUZHENG</au><au>FEI WEIJIE</au><au>WANG JIARONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Upper limb movement direction neural decoding method and device</title><date>2021-07-27</date><risdate>2021</risdate><abstract>The invention discloses an upper limb movement direction neural decoding method and device based on Riemannian metric. The method comprises the following steps: extracting electroencephalogram signal feature information from a neural signal in an upper limb movement direction in a movement task process through Riemannian metric; and recognizing the movement direction of the upper limbs by using the electroencephalogram features based on Riemannian metrics. According to the method, the upper limb motion intention analysis model is established through the electroencephalogram signal characteristic information based on Riemannian metrics, so that the analysis model can obtain stable motion intention analysis performance in cognitive concentration and cognitive distraction states, which is very important for rehabilitation and assistance. Meanwhile, a new thought is provided for research on upper limb motion decoding, and a basis is provided for further research on man-machine collaborative interaction. 本发明公开了一种基</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN113171111A
source esp@cenet
subjects DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
title Upper limb movement direction neural decoding method and device
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T03%3A49%3A04IST&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=XIA%20SHENGCHAO&rft.date=2021-07-27&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113171111A%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