LOCAL NOISE IDENTIFICATION USING COHERENT ALGORITHM
To provide systems, devices and techniques for automatically detecting arrhythmia locations.SOLUTION: Systems, devices and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices and techniques include a processor including a n...
Saved in:
Main Authors | , , |
---|---|
Format | Patent |
Language | English Japanese |
Published |
13.12.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | To provide systems, devices and techniques for automatically detecting arrhythmia locations.SOLUTION: Systems, devices and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices and techniques include a processor including a neural network configured to receive a plurality of pieces of historical ECG data and corresponding arrhythmia locations determined on the basis of each of the historical ECG data, train a learning system on the basis of the pieces of historical ECG data and corresponding arrhythmia locations, generate a model on the basis of the learning system. New ECG data may be received from the body surface electrodes, and the processor may provide a new arrhythmia location on the basis of the new ECG data. Additionally, a new coherent mapping adjustment may be provided on the basis of a model that is trained using historical coherent mapping adjustments.SELECTED DRAWING: Figure 1
【課題】不整脈位置を自動的に検出するためのシステム、デバイス、及び技術を提供すること。【解決手段】本システム、デバイス、及び技術は、心電図(ECG)データを感知するように構成された複数の体表面電極を含む。本システム、デバイス、及び技術は、複数の履歴ECGデータ及び複数の履歴ECGデータのそれぞれに基づいて決定された対応する不整脈位置を受信することと、複数の履歴ECGデータ及び対応する不整脈位置に基づいて学習システムを訓練することと、学習システムに基づいてモデルを生成することと、を行うように構成された、ニューラルネットワークを含むプロセッサを含む。新しいECGデータが、複数の体表面電極から受信され得、プロセッサは、新しいECGデータに基づいて新しい不整脈位置を提供し得る。更に、新しいコヒーレントマッピング調整が、履歴コヒーレントマッピング調整を使用して訓練されたモデルに基づいて提供され得る。【選択図】図1 |
---|---|
AbstractList | To provide systems, devices and techniques for automatically detecting arrhythmia locations.SOLUTION: Systems, devices and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices and techniques include a processor including a neural network configured to receive a plurality of pieces of historical ECG data and corresponding arrhythmia locations determined on the basis of each of the historical ECG data, train a learning system on the basis of the pieces of historical ECG data and corresponding arrhythmia locations, generate a model on the basis of the learning system. New ECG data may be received from the body surface electrodes, and the processor may provide a new arrhythmia location on the basis of the new ECG data. Additionally, a new coherent mapping adjustment may be provided on the basis of a model that is trained using historical coherent mapping adjustments.SELECTED DRAWING: Figure 1
【課題】不整脈位置を自動的に検出するためのシステム、デバイス、及び技術を提供すること。【解決手段】本システム、デバイス、及び技術は、心電図(ECG)データを感知するように構成された複数の体表面電極を含む。本システム、デバイス、及び技術は、複数の履歴ECGデータ及び複数の履歴ECGデータのそれぞれに基づいて決定された対応する不整脈位置を受信することと、複数の履歴ECGデータ及び対応する不整脈位置に基づいて学習システムを訓練することと、学習システムに基づいてモデルを生成することと、を行うように構成された、ニューラルネットワークを含むプロセッサを含む。新しいECGデータが、複数の体表面電極から受信され得、プロセッサは、新しいECGデータに基づいて新しい不整脈位置を提供し得る。更に、新しいコヒーレントマッピング調整が、履歴コヒーレントマッピング調整を使用して訓練されたモデルに基づいて提供され得る。【選択図】図1 |
Author | ZIV-ARI MORRIS ASSAF COHEN ITAI DORON |
Author_xml | – fullname: ITAI DORON – fullname: ASSAF COHEN – fullname: ZIV-ARI MORRIS |
BookMark | eNrjYmDJy89L5WQw9vF3dvRR8PP3DHZV8HRx9QvxdPN0dgzx9PdTCA329HNXcPb3cA0Ciis4-rj7B3mGePjyMLCmJeYUp_JCaW4GJTfXEGcP3dSC_PjU4oLE5NS81JJ4rwAjAyNDQwszMwszR2OiFAEA9mApdA |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | コヒーレントアルゴリズムを使用したローカルノイズ識別 |
ExternalDocumentID | JP2021186686A |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_JP2021186686A3 |
IEDL.DBID | EVB |
IngestDate | Fri Jul 19 12:48:44 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English Japanese |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_JP2021186686A3 |
Notes | Application Number: JP20210094286 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211213&DB=EPODOC&CC=JP&NR=2021186686A |
ParticipantIDs | epo_espacenet_JP2021186686A |
PublicationCentury | 2000 |
PublicationDate | 20211213 |
PublicationDateYYYYMMDD | 2021-12-13 |
PublicationDate_xml | – month: 12 year: 2021 text: 20211213 day: 13 |
PublicationDecade | 2020 |
PublicationYear | 2021 |
RelatedCompanies | BIOSENSE WEBSTER (ISRAEL) LTD |
RelatedCompanies_xml | – name: BIOSENSE WEBSTER (ISRAEL) LTD |
Score | 3.497713 |
Snippet | To provide systems, devices and techniques for automatically detecting arrhythmia locations.SOLUTION: Systems, devices and techniques include a plurality of... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS ELECTROTHERAPY HUMAN NECESSITIES HYGIENE IDENTIFICATION MAGNETOTHERAPY MEDICAL OR VETERINARY SCIENCE PHYSICS RADIATION THERAPY SURGERY ULTRASOUND THERAPY |
Title | LOCAL NOISE IDENTIFICATION USING COHERENT ALGORITHM |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211213&DB=EPODOC&locale=&CC=JP&NR=2021186686A |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dT8IwEL8gfr7plKioaYzZ2yJso2wPxEC3sRH2EZyGN0K7LlETIDLjv287h_LEY--Sy7XJr9dr73cFeGjRFueUZpptM6aZFs81yvlcy3MZnDDvmlhyh8MI-y_maNqZ1uBjw4Up-4R-l80RBaKYwHtR7ter_0ssp6ytXD_SNyFaPnlpz1Gr7FhkM3rbUJ1Bz01iJyYqIb1RokaTX52FsYX7e7AvztFdCQf3dSBpKavtmOKdwkEizC2KM6i9zxU4Jpuv1xQ4CqsXbwUOyxJNthbCCobrczDGMemPURQHzy4KHDdKA69iBCP5j8YQkdh3J0KO-uNhPAlSP7yAe89Nia8JP2Z_s56Nki2fjQbUF8sFvwREs4xlmZlbXHZL6-hWyxZJZp7pzGgzbNtX0Nxh6HqntgknciTLNdrGDdSLzy9-K4JuQe_KxfoBbK-BDQ |
link.rule.ids | 230,309,783,888,25576,76876 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dT8IwEL8gfuCbTo2KH4sxe1sENsr2QAx0GxvuK3Ma3gjtukRNgMiM_77tHMoTr3fJ5drk1-u197sDuG-RFmOEZKppUqrqBstVwthMzXMRnBDr6Uhwh4MQuS_6eNKd1OBjzYUp-4R-l80ROaIox3tRntfL_0csq6ytXD2QNy5aPDpp31Kq7JhnM522pljDvh1HVoQVjPvjWAmTX52BkIEGO7DL79g9AQf7dShoKcvNmOIcwV7Mzc2LY6i9zyRo4PXoNQkOgurHW4L9skSTrriwguHqBDQ_wgNfDiPv2ZY9yw5Tz6kYwbKYozGSceTaCZfLA38UJV7qBqdw59gpdlXux_Rv1dNxvOGzdgb1-WLOzkEmWUazTM8NJrqldTtGy-RJZp51qNamyDQvoLnF0OVW7S003DTwp74XPjXhUGhE6UZbu4J68fnFrnkALshNuXE_pfiEAA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=LOCAL+NOISE+IDENTIFICATION+USING+COHERENT+ALGORITHM&rft.inventor=ITAI+DORON&rft.inventor=ASSAF+COHEN&rft.inventor=ZIV-ARI+MORRIS&rft.date=2021-12-13&rft.externalDBID=A&rft.externalDocID=JP2021186686A |