Cognitive detection support method and system based on Stroop normal form and near-infrared data

The invention provides a cognitive detection support method and device based on a Stroop normal form and near-infrared data, and the method comprises the steps: taking the coupling strength of an HbO signal in fNIRS data in a brain interval on each frequency band as a brain effect connection diagram...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LYU ZEPING, ZHANG YINGWEI, LI QING, CHAN YIK KEUNG
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 LYU ZEPING
ZHANG YINGWEI
LI QING
CHAN YIK KEUNG
description The invention provides a cognitive detection support method and device based on a Stroop normal form and near-infrared data, and the method comprises the steps: taking the coupling strength of an HbO signal in fNIRS data in a brain interval on each frequency band as a brain effect connection diagram, extracting the data features of the brain effect connection diagram through a convolutional neural network, and obtaining the brain effect connection features; extracting data features of the fNIRS data through a convolutional neural network to obtain space-time spectrum features; and splicing the brain effect connection feature, the space-time spectrum feature and the data feature of the task execution result to obtain a fusion feature, and obtaining the probability that the training user belongs to AD, MCI and health by a classifier according to the fusion feature as a cognitive detection support result. According to the method, the cognitive state of the user can be comprehensively evaluated through intelligen
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117272225A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117272225A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117272225A3</originalsourceid><addsrcrecordid>eNqNyrEKwjAQANAuDqL-w_kBHRqRzhIUJxfd69lcNNDcheQU_HuD-AFOb3nz5mrlzkHDi8CR0qhBGMozJckKkfQhDpAdlHdRinDDQg5qOWsWScCSI07gK9_GhLkN7DPm-hwqLpuZx6nQ6ueiWR_2F3tsKclAJeFITDrYU9f1pjfGbHebf84H3GU9SQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Cognitive detection support method and system based on Stroop normal form and near-infrared data</title><source>esp@cenet</source><creator>LYU ZEPING ; ZHANG YINGWEI ; LI QING ; CHAN YIK KEUNG</creator><creatorcontrib>LYU ZEPING ; ZHANG YINGWEI ; LI QING ; CHAN YIK KEUNG</creatorcontrib><description>The invention provides a cognitive detection support method and device based on a Stroop normal form and near-infrared data, and the method comprises the steps: taking the coupling strength of an HbO signal in fNIRS data in a brain interval on each frequency band as a brain effect connection diagram, extracting the data features of the brain effect connection diagram through a convolutional neural network, and obtaining the brain effect connection features; extracting data features of the fNIRS data through a convolutional neural network to obtain space-time spectrum features; and splicing the brain effect connection feature, the space-time spectrum feature and the data feature of the task execution result to obtain a fusion feature, and obtaining the probability that the training user belongs to AD, MCI and health by a classifier according to the fusion feature as a cognitive detection support result. According to the method, the cognitive state of the user can be comprehensively evaluated through intelligen</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DIAGNOSIS ; ELECTRIC DIGITAL DATA PROCESSING ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2023</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=20231222&amp;DB=EPODOC&amp;CC=CN&amp;NR=117272225A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231222&amp;DB=EPODOC&amp;CC=CN&amp;NR=117272225A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LYU ZEPING</creatorcontrib><creatorcontrib>ZHANG YINGWEI</creatorcontrib><creatorcontrib>LI QING</creatorcontrib><creatorcontrib>CHAN YIK KEUNG</creatorcontrib><title>Cognitive detection support method and system based on Stroop normal form and near-infrared data</title><description>The invention provides a cognitive detection support method and device based on a Stroop normal form and near-infrared data, and the method comprises the steps: taking the coupling strength of an HbO signal in fNIRS data in a brain interval on each frequency band as a brain effect connection diagram, extracting the data features of the brain effect connection diagram through a convolutional neural network, and obtaining the brain effect connection features; extracting data features of the fNIRS data through a convolutional neural network to obtain space-time spectrum features; and splicing the brain effect connection feature, the space-time spectrum feature and the data feature of the task execution result to obtain a fusion feature, and obtaining the probability that the training user belongs to AD, MCI and health by a classifier according to the fusion feature as a cognitive detection support result. According to the method, the cognitive state of the user can be comprehensively evaluated through intelligen</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQANAuDqL-w_kBHRqRzhIUJxfd69lcNNDcheQU_HuD-AFOb3nz5mrlzkHDi8CR0qhBGMozJckKkfQhDpAdlHdRinDDQg5qOWsWScCSI07gK9_GhLkN7DPm-hwqLpuZx6nQ6ueiWR_2F3tsKclAJeFITDrYU9f1pjfGbHebf84H3GU9SQ</recordid><startdate>20231222</startdate><enddate>20231222</enddate><creator>LYU ZEPING</creator><creator>ZHANG YINGWEI</creator><creator>LI QING</creator><creator>CHAN YIK KEUNG</creator><scope>EVB</scope></search><sort><creationdate>20231222</creationdate><title>Cognitive detection support method and system based on Stroop normal form and near-infrared data</title><author>LYU ZEPING ; ZHANG YINGWEI ; LI QING ; CHAN YIK KEUNG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117272225A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>LYU ZEPING</creatorcontrib><creatorcontrib>ZHANG YINGWEI</creatorcontrib><creatorcontrib>LI QING</creatorcontrib><creatorcontrib>CHAN YIK KEUNG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LYU ZEPING</au><au>ZHANG YINGWEI</au><au>LI QING</au><au>CHAN YIK KEUNG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Cognitive detection support method and system based on Stroop normal form and near-infrared data</title><date>2023-12-22</date><risdate>2023</risdate><abstract>The invention provides a cognitive detection support method and device based on a Stroop normal form and near-infrared data, and the method comprises the steps: taking the coupling strength of an HbO signal in fNIRS data in a brain interval on each frequency band as a brain effect connection diagram, extracting the data features of the brain effect connection diagram through a convolutional neural network, and obtaining the brain effect connection features; extracting data features of the fNIRS data through a convolutional neural network to obtain space-time spectrum features; and splicing the brain effect connection feature, the space-time spectrum feature and the data feature of the task execution result to obtain a fusion feature, and obtaining the probability that the training user belongs to AD, MCI and health by a classifier according to the fusion feature as a cognitive detection support result. According to the method, the cognitive state of the user can be comprehensively evaluated through intelligen</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117272225A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
title Cognitive detection support method and system based on Stroop normal form and near-infrared data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T03%3A06%3A08IST&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=LYU%20ZEPING&rft.date=2023-12-22&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117272225A%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