PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS
The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
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 | Chinta, Nagarjuna Reddy McCormick, Ryan Daniel Smith, Robert M Ivers, Douglas Edward |
description | The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020345911A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020345911A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020345911A13</originalsourceid><addsrcrecordid>eNrjZLALCHJ18XQO8QxzVQgMClZwcQ1xBfL8_RQc_VwUgnRD_HWDFEI8fT393BWCI4NDXH2DwTK-riEe_i7BPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7UkPjTYyMDIwNjE1NLQ0NHQmDhVAPe6Ku4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS</title><source>esp@cenet</source><creator>Chinta, Nagarjuna Reddy ; McCormick, Ryan Daniel ; Smith, Robert M ; Ivers, Douglas Edward</creator><creatorcontrib>Chinta, Nagarjuna Reddy ; McCormick, Ryan Daniel ; Smith, Robert M ; Ivers, Douglas Edward</creatorcontrib><description>The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.</description><language>eng</language><subject>DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY ; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR ; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROMTHE BODY ; DIAGNOSIS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; 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&date=20201105&DB=EPODOC&CC=US&NR=2020345911A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201105&DB=EPODOC&CC=US&NR=2020345911A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Chinta, Nagarjuna Reddy</creatorcontrib><creatorcontrib>McCormick, Ryan Daniel</creatorcontrib><creatorcontrib>Smith, Robert M</creatorcontrib><creatorcontrib>Ivers, Douglas Edward</creatorcontrib><title>PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS</title><description>The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.</description><subject>DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY</subject><subject>DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR</subject><subject>DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROMTHE BODY</subject><subject>DIAGNOSIS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLALCHJ18XQO8QxzVQgMClZwcQ1xBfL8_RQc_VwUgnRD_HWDFEI8fT393BWCI4NDXH2DwTK-riEe_i7BPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7UkPjTYyMDIwNjE1NLQ0NHQmDhVAPe6Ku4</recordid><startdate>20201105</startdate><enddate>20201105</enddate><creator>Chinta, Nagarjuna Reddy</creator><creator>McCormick, Ryan Daniel</creator><creator>Smith, Robert M</creator><creator>Ivers, Douglas Edward</creator><scope>EVB</scope></search><sort><creationdate>20201105</creationdate><title>PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS</title><author>Chinta, Nagarjuna Reddy ; McCormick, Ryan Daniel ; Smith, Robert M ; Ivers, Douglas Edward</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020345911A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY</topic><topic>DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR</topic><topic>DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROMTHE BODY</topic><topic>DIAGNOSIS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>Chinta, Nagarjuna Reddy</creatorcontrib><creatorcontrib>McCormick, Ryan Daniel</creatorcontrib><creatorcontrib>Smith, Robert M</creatorcontrib><creatorcontrib>Ivers, Douglas Edward</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chinta, Nagarjuna Reddy</au><au>McCormick, Ryan Daniel</au><au>Smith, Robert M</au><au>Ivers, Douglas Edward</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS</title><date>2020-11-05</date><risdate>2020</risdate><abstract>The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2020345911A1 |
source | esp@cenet |
subjects | DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROMTHE BODY DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
title | PREDICTIVE QRS DETECTION AND R-TO-R TIMING SYSTEMS AND METHODS |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T14%3A36%3A25IST&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=Chinta,%20Nagarjuna%20Reddy&rft.date=2020-11-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020345911A1%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 |