280 related articles for article (PubMed ID: 33899504)
1. Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.
Chorba JS; Shapiro AM; Le L; Maidens J; Prince J; Pham S; Kanzawa MM; Barbosa DN; Currie C; Brooks C; White BE; Huskin A; Paek J; Geocaris J; Elnathan D; Ronquillo R; Kim R; Alam ZH; Mahadevan VS; Fuller SG; Stalker GW; Bravo SA; Jean D; Lee JJ; Gjergjindreaj M; Mihos CG; Forman ST; Venkatraman S; McCarthy PM; Thomas JD
J Am Heart Assoc; 2021 May; 10(9):e019905. PubMed ID: 33899504
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease.
Prince J; Maidens J; Kieu S; Currie C; Barbosa D; Hitchcock C; Saltman A; Norozi K; Wiesner P; Slamon N; Del Grippo E; Padmanabhan D; Subramanian A; Manjunath C; Chorba J; Venkatraman S
J Am Heart Assoc; 2023 Oct; 12(20):e030377. PubMed ID: 37830333
[TBL] [Abstract][Full Text] [Related]
3. Computerized Automatic Diagnosis of Innocent and Pathologic Murmurs in Pediatrics: A Pilot Study.
Lai LS; Redington AN; Reinisch AJ; Unterberger MJ; Schriefl AJ
Congenit Heart Dis; 2016 Sep; 11(5):386-395. PubMed ID: 26990211
[TBL] [Abstract][Full Text] [Related]
4. StethAid: A Digital Auscultation Platform for Pediatrics.
Arjoune Y; Nguyen TN; Salvador T; Telluri A; Schroeder JC; Geggel RL; May JW; Pillai DK; Teach SJ; Patel SJ; Doroshow RW; Shekhar R
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420914
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial.
Thompson WR; Reinisch AJ; Unterberger MJ; Schriefl AJ
Pediatr Cardiol; 2019 Mar; 40(3):623-629. PubMed ID: 30542919
[TBL] [Abstract][Full Text] [Related]
6. Comparison of conventional and sensor-based electronic stethoscopes in detecting cardiac murmurs of dogs.
Vörös K; Bonnevie A; Reiczigel J
Tierarztl Prax Ausg K Kleintiere Heimtiere; 2012 Apr; 40(2):103-11. PubMed ID: 22526814
[TBL] [Abstract][Full Text] [Related]
7. Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning.
Zhou G; Chien C; Chen J; Luan L; Chen Y; Carroll S; Dayton J; Thanjan M; Bayle K; Flynn P
Artif Intell Med; 2024 Jul; 153():102867. PubMed ID: 38723434
[TBL] [Abstract][Full Text] [Related]
8.
Kalinauskienė E; Razvadauskas H; Morse DJ; Maxey GE; Naudžiūnas A
Medicina (Kaunas); 2019 Apr; 55(4):. PubMed ID: 30959832
[No Abstract] [Full Text] [Related]
9. Heart murmurs recorded by a sensor based electronic stethoscope and e-mailed for remote assessment.
Dahl LB; Hasvold P; Arild E; Hasvold T
Arch Dis Child; 2002 Oct; 87(4):297-301; discussion 297-301. PubMed ID: 12244000
[TBL] [Abstract][Full Text] [Related]
10. Automated Identification of Innocent Still's Murmur in Children.
Kang S; Doroshow R; McConnaughey J; Shekhar R
IEEE Trans Biomed Eng; 2017 Jun; 64(6):1326-1334. PubMed ID: 27576242
[TBL] [Abstract][Full Text] [Related]
11. Assessing children's heart sounds at a distance with digital recordings.
Finley JP; Warren AE; Sharratt GP; Amit M
Pediatrics; 2006 Dec; 118(6):2322-5. PubMed ID: 17142514
[TBL] [Abstract][Full Text] [Related]
12. The Diagnostic Utility of Computer-Assisted Auscultation for the Early Detection of Cardiac Murmurs of Structural Origin in the Periodic Health Evaluation.
Viviers PL; Kirby JH; Viljoen JT; Derman W
Sports Health; 2017; 9(4):341-345. PubMed ID: 28661830
[TBL] [Abstract][Full Text] [Related]
13. Feature extraction for systolic heart murmur classification.
Ahlstrom C; Hult P; Rask P; Karlsson JE; Nylander E; Dahlström U; Ask P
Ann Biomed Eng; 2006 Nov; 34(11):1666-77. PubMed ID: 17019618
[TBL] [Abstract][Full Text] [Related]
14. Using voice-recognition technology to eliminate cardiac cycle segmentation in automated heart sound diagnosis.
Guion Johnson M; Tewfik A; Madhu KP; Erdman AG
Biomed Instrum Technol; 2007; 41(2):157-66. PubMed ID: 17432672
[TBL] [Abstract][Full Text] [Related]
15. Novel algorithm to screen for heart murmurs using computer-aided auscultation in neonates: a prospective single center pilot observational study.
Grgic-Mustafic R; Baik-Schneditz N; Schwaberger B; Mileder L; Binder-Heschl C; Pansy J; Koestenberger M; Urlesberger B; Avian A; Pichler G
Minerva Pediatr; 2019 Jun; 71(3):221-228. PubMed ID: 29968444
[TBL] [Abstract][Full Text] [Related]
16. Detection of heart murmurs using wavelet analysis and artificial neural networks.
Andrisevic N; Ejaz K; Rios-Gutierrez F; Alba-Flores R; Nordehn G; Burns S
J Biomech Eng; 2005 Nov; 127(6):899-904. PubMed ID: 16438225
[TBL] [Abstract][Full Text] [Related]
17. Cardiac auscultation training of medical students: a comparison of electronic sensor-based and acoustic stethoscopes.
Høyte H; Jensen T; Gjesdal K
BMC Med Educ; 2005 May; 5(1):14. PubMed ID: 15882458
[TBL] [Abstract][Full Text] [Related]
18. Digital devices for teaching cardiac auscultation - a randomized pilot study.
Legget ME; Toh M; Meintjes A; Fitzsimons S; Gamble G; Doughty RN
Med Educ Online; 2018 Dec; 23(1):1524688. PubMed ID: 30499380
[TBL] [Abstract][Full Text] [Related]
19. Automated cardiac auscultation for detection of pathologic heart murmurs.
Thompson WR; Hayek CS; Tuchinda C; Telford JK; Lombardo JS
Pediatr Cardiol; 2001; 22(5):373-9. PubMed ID: 11526409
[TBL] [Abstract][Full Text] [Related]
20. Prevalence and diagnostic value of precordial murmurs for valvular regurgitation in obese patients treated with dexfenfluramine.
Roldan CA; Gill EA; Shively BK
Am J Cardiol; 2000 Sep; 86(5):535-9. PubMed ID: 11009272
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]