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Extract from the Register of European Patents

EP About this file: EP3878364

EP3878364 - AN AUTOMATIC METHOD TO DELINEATE OR CATEGORIZE AN ELECTROCARDIOGRAM [Right-click to bookmark this link]
StatusThe application has been withdrawn
Status updated on  05.04.2024
Database last updated on 03.10.2024
FormerExamination is in progress
Status updated on  21.12.2023
FormerRequest for examination was made
Status updated on  18.03.2022
FormerThe application has been published
Status updated on  13.08.2021
Most recent event   Tooltip05.04.2024Withdrawal of applicationpublished on 08.05.2024  [2024/19]
Applicant(s)For all designated states
Koninklijke Philips N.V.
High Tech Campus 52
5656 AG Eindhoven / NL
[2023/39]
Former [2021/37]For all designated states
Cardiologs Technologies
38 rue Dunois
75647 Paris Cedex 13 / FR
Inventor(s)01 / RAPIN, Jérémy
5 Rue Campagne Première
75014 Paris / FR
02 / LI, Jia
106 rue du Cherche-Midi
75006 Paris / FR
03 / MASSIAS, Mathurin
52 Rue Rémy Dumoncel
75014 Paris / FR
 [2021/37]
Representative(s)Philips Intellectual Property & Standards
High Tech Campus 52
5656 AG Eindhoven / NL
[N/P]
Former [2021/37]Vossius & Partner Patentanwälte Rechtsanwälte mbB
Siebertstraße 3
81675 München / DE
Application number, filing date21167613.527.10.2016
[2021/37]
Priority number, dateEP2015019176927.10.2015         Original published format: EP 15191769
US20151492423927.10.2015         Original published format: US201514924239
[2021/37]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3878364
Date:15.09.2021
Language:EN
[2021/37]
Search report(s)(Supplementary) European search report - dispatched on:EP20.07.2021
ClassificationIPC:A61B5/349
[2021/37]
CPC:
A61B5/7264 (EP); A61B5/349 (EP); A61B5/7282 (EP);
G16H50/20 (EP)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/16]
Former [2021/37]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
Validation statesMANot yet paid
TitleGerman:AUTOMATISCHES VERFAHREN ZUR DARSTELLUNG ODER KATEGORISIERUNG EINES ELEKTROKARDIOGRAMMS[2021/37]
English:AN AUTOMATIC METHOD TO DELINEATE OR CATEGORIZE AN ELECTROCARDIOGRAM[2021/37]
French:PROCÉDÉ AUTOMATIQUE POUR DÉLIMITER OU CATÉGORISER UN ÉLECTROCARDIOGRAMME[2021/37]
Examination procedure10.03.2022Amendment by applicant (claims and/or description)
10.03.2022Examination requested  [2022/16]
10.03.2022Date on which the examining division has become responsible
20.12.2023Despatch of a communication from the examining division (Time limit: M04)
03.04.2024Application withdrawn by applicant  [2024/19]
Parent application(s)   TooltipEP16787481.7  / EP3367897
Fees paidRenewal fee
09.05.2021Renewal fee patent year 03
09.05.2021Renewal fee patent year 04
09.05.2021Renewal fee patent year 05
28.10.2021Renewal fee patent year 06
20.10.2022Renewal fee patent year 07
31.10.2023Renewal fee patent year 08
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[X]US2005222508  (MORENO PEDRO J [US], et al) [X] 1-15 * the whole document *;
 [X]EP2030565  (MEDICALGORITHMICS SP Z O O [PL]) [X] 1-15 * paragraph [0003] - paragraph [0023] * * paragraph [0074] *;
 [A]US2013237776  (ONG MARCUS ENG HOCK [SG], et al) [A] 1-15* paragraph [0005] - paragraph [0013] *;
 [X]CN104970789  (SUZHOU INST NANO TECH & NANO B) [X] 1-15 * abstract *;
 [X]  - Jin Linpeng, "Electrocardiogram classification method and system, abstract of CN104970789", (20151014), URL: epodoc, (20160413), XP055264877 [X] 1-15 * the whole document *
 [X]  - KIRANYAZ S ET AL, "Convolutional Neural Networks for patient-specific ECG classification", 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). PROCEEDINGS IEEE PISCATAWAY, NJ, USA, (201508), ISBN 978-1-4244-9270-1, pages 2608 - 2611, XP002756380 [X] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/EMBC.2015.7318926
 [X]  - SERKAN KIRANYAZ ET AL, "Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks", IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING., PISCATAWAY, NJ, USA., (20150814), vol. 63, no. 3, doi:10.1109/TBME.2015.2468589, ISSN 0018-9294, pages 664 - 675, XP055264879 [X] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/TBME.2015.2468589
by applicantUS8332017
 US2014148714
 US8903479
 CN104970789
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The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.