• Reference Citation Analysis
  • v
  • v
  • Find an Article
Find an Article PDF (4602291)   Today's Articles (5061)   Subscriber (49368)
For: Nunes I, Ayres-de-Campos D. Computer analysis of foetal monitoring signals. Best Pract Res Clin Obstet Gynaecol 2015. [PMID: 26211832 DOI: 10.1016/j.bpobgyn.2015.02.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Number Cited by Other Article(s)
1
McCoy JA, Levine LD, Wan G, Chivers C, Teel J, La Cava WG. Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning. Am J Obstet Gynecol 2024:S0002-9378(24)00528-3. [PMID: 38663662 DOI: 10.1016/j.ajog.2024.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/01/2024]
2
Aeberhard JL, Radan AP, Soltani RA, Strahm KM, Schneider S, Carrié A, Lemay M, Krauss J, Delgado-Gonzalo R, Surbek D. Introducing Artificial Intelligence in Interpretation of Foetal Cardiotocography: Medical Dataset Curation and Preliminary Coding-An Interdisciplinary Project. Methods Protoc 2024;7:5. [PMID: 38251198 PMCID: PMC10801612 DOI: 10.3390/mps7010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/15/2023] [Accepted: 12/26/2023] [Indexed: 01/23/2024]  Open
3
Liang H, Lu Y. A CNN-RNN unified framework for intrapartum cardiotocograph classification. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023;229:107300. [PMID: 36566652 DOI: 10.1016/j.cmpb.2022.107300] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 11/30/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
4
Ben M'Barek I, Jauvion G, Ceccaldi P. Computerized cardiotocography analysis during labor - A state-of-the-art review. Acta Obstet Gynecol Scand 2022;102:130-137. [PMID: 36541016 PMCID: PMC9889319 DOI: 10.1111/aogs.14498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022]
5
Xiao Y, Lu Y, Liu M, Zeng R, Bai J. A deep feature fusion network for fetal state assessment. Front Physiol 2022;13:969052. [PMID: 36531165 PMCID: PMC9748093 DOI: 10.3389/fphys.2022.969052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 11/15/2022] [Indexed: 09/05/2023]  Open
6
Silva Neto MGD, Vale Madeiro JPD, Gomes DG. On designing a biosignal-based fetal state assessment system: A systematic mapping study. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022;216:106671. [PMID: 35144149 DOI: 10.1016/j.cmpb.2022.106671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 01/05/2022] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
7
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2021.102794] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
8
Esteban-Escaño J, Castán B, Castán S, Chóliz-Ezquerro M, Asensio C, Laliena AR, Sanz-Enguita G, Sanz G, Esteban LM, Savirón R. Machine Learning Algorithm to Predict Acidemia Using Electronic Fetal Monitoring Recording Parameters. ENTROPY 2021;24:e24010068. [PMID: 35052094 PMCID: PMC8775221 DOI: 10.3390/e24010068] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/18/2021] [Accepted: 12/27/2021] [Indexed: 12/17/2022]
9
Costa M, Xavier M, Nunes I, Henriques TS. Fetal Heart Rate Fragmentation. Front Pediatr 2021;9:662101. [PMID: 34540762 PMCID: PMC8442730 DOI: 10.3389/fped.2021.662101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/13/2021] [Indexed: 11/21/2022]  Open
10
Al-yousif S, Jaenul A, Al-Dayyeni W, Alamoodi A, Najm IA, Md Tahir N, Alrawi AAA, Cömert Z, Al-shareefi NA, Saleh AH. A systematic review of automated pre-processing, feature extraction and classification of cardiotocography. PeerJ Comput Sci 2021;7:e452. [PMID: 33987454 PMCID: PMC8093951 DOI: 10.7717/peerj-cs.452] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 03/01/2021] [Indexed: 05/27/2023]
11
Moors S, Joshi R, Bullens LM, van Oostrum NHM, Regis M, van den Heuvel ER, Oei SG, van Laar JOEH, van der Hout-van der Jagt MB. A randomized controlled trial studying the effect of maternal hyperoxygenation on fetal heart rate in suspected fetal distress. Physiol Meas 2020;41:115002. [PMID: 33049730 DOI: 10.1088/1361-6579/abc0b6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
12
Zhao Z, Deng Y, Zhang Y, Zhang Y, Zhang X, Shao L. DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network. BMC Med Inform Decis Mak 2019;19:286. [PMID: 31888592 PMCID: PMC6937790 DOI: 10.1186/s12911-019-1007-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 12/16/2019] [Indexed: 11/10/2022]  Open
13
Independent Analysis of Decelerations and Resting Periods through CEEMDAN and Spectral-Based Feature Extraction Improves Cardiotocographic Assessment. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9245421] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
14
Gyllencreutz E, Lu K, Lindecrantz K, Lindqvist PG, Nordstrom L, Holzmann M, Abtahi F. Validation of a computerized algorithm to quantify fetal heart rate deceleration area. Acta Obstet Gynecol Scand 2018;97:1137-1147. [PMID: 29768660 DOI: 10.1111/aogs.13370] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 04/29/2018] [Indexed: 11/28/2022]
15
CÖMERT Z, KOCAMAZ A. A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals. ACTA ACUST UNITED AC 2017. [DOI: 10.17678/beuscitech.338085] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
16
Fergus P, Selvaraj M, Chalmers C. Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. Comput Biol Med 2017;93:7-16. [PMID: 29248699 DOI: 10.1016/j.compbiomed.2017.12.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Revised: 12/06/2017] [Accepted: 12/07/2017] [Indexed: 10/18/2022]
17
Ayres-de-Campos D, Rei M, Nunes I, Sousa P, Bernardes J. SisPorto 4.0 - computer analysis following the 2015 FIGO Guidelines for intrapartum fetal monitoring. J Matern Fetal Neonatal Med 2016;30:62-67. [PMID: 26940372 DOI: 10.3109/14767058.2016.1161750] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
PrevPage 1 of 1 1Next
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA