199 related articles for article (PubMed ID: 35322685)
1. Multiclass Arrhythmia Detection and Classification From Photoplethysmography Signals Using a Deep Convolutional Neural Network.
Liu Z; Zhou B; Jiang Z; Chen X; Li Y; Tang M; Miao F
J Am Heart Assoc; 2022 Apr; 11(7):e023555. PubMed ID: 35322685
[TBL] [Abstract][Full Text] [Related]
2. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.
Poh MZ; Poh YC; Chan PH; Wong CK; Pun L; Leung WW; Wong YF; Wong MM; Chu DW; Siu CW
Heart; 2018 Dec; 104(23):1921-1928. PubMed ID: 29853485
[TBL] [Abstract][Full Text] [Related]
3. Multiclass Convolutional Neural Networks for Atrial Fibrillation Classification.
Sbrollini A; Tomassini S; Emaldi E; Marcantoni I; Morettini M; Dragoni AF; Burattini L
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1288-1291. PubMed ID: 36086141
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
Kwon S; Hong J; Choi EK; Lee E; Hostallero DE; Kang WJ; Lee B; Jeong ER; Koo BK; Oh S; Yi Y
JMIR Mhealth Uhealth; 2019 Jun; 7(6):e12770. PubMed ID: 31199302
[TBL] [Abstract][Full Text] [Related]
5. Enhanced premature ventricular contraction pulse detection and classification using deep convolutional neural network.
Raj R; Kumar US; Maik V
Phys Eng Sci Med; 2023 Dec; 46(4):1677-1691. PubMed ID: 37721684
[TBL] [Abstract][Full Text] [Related]
6. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
Ramesh J; Solatidehkordi Z; Aburukba R; Sagahyroon A
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770543
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry).
Fan YY; Li YG; Li J; Cheng WK; Shan ZL; Wang YT; Guo YT
JMIR Mhealth Uhealth; 2019 Mar; 7(3):e11437. PubMed ID: 30835243
[TBL] [Abstract][Full Text] [Related]
8. Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study.
Kwon S; Hong J; Choi EK; Lee B; Baik C; Lee E; Jeong ER; Koo BK; Oh S; Yi Y
J Med Internet Res; 2020 May; 22(5):e16443. PubMed ID: 32348254
[TBL] [Abstract][Full Text] [Related]
9. Inter-patient arrhythmia classification with improved deep residual convolutional neural network.
Li Y; Qian R; Li K
Comput Methods Programs Biomed; 2022 Feb; 214():106582. PubMed ID: 34933228
[TBL] [Abstract][Full Text] [Related]
10. A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms.
Sodmann P; Vollmer M; Nath N; Kaderali L
Physiol Meas; 2018 Oct; 39(10):104005. PubMed ID: 30235165
[TBL] [Abstract][Full Text] [Related]
11. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Attia ZI; Noseworthy PA; Lopez-Jimenez F; Asirvatham SJ; Deshmukh AJ; Gersh BJ; Carter RE; Yao X; Rabinstein AA; Erickson BJ; Kapa S; Friedman PA
Lancet; 2019 Sep; 394(10201):861-867. PubMed ID: 31378392
[TBL] [Abstract][Full Text] [Related]
12. The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms.
Jeanningros L; Le Bloa M; Teres C; Herrera Siklody C; Porretta A; Pascale P; Luca A; Solana Muñoz J; Domenichini G; Meister TA; Soria Maldonado R; Tanner H; Vesin JM; Thiran JP; Lemay M; Rexhaj E; Pruvot E; Braun F
Physiol Meas; 2024 Feb; 45(2):. PubMed ID: 38266291
[No Abstract] [Full Text] [Related]
13. AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals.
Radhakrishnan T; Karhade J; Ghosh SK; Muduli PR; Tripathy RK; Acharya UR
Comput Biol Med; 2021 Oct; 137():104783. PubMed ID: 34481184
[TBL] [Abstract][Full Text] [Related]
14. A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia.
Han D; Bashar SK; Lázaro J; Mohagheghian F; Peitzsch A; Nishita N; Ding E; Dickson EL; DiMezza D; Scott J; Whitcomb C; Fitzgibbons TP; McManus DD; Chon KH
Biosensors (Basel); 2022 Jan; 12(2):. PubMed ID: 35200342
[TBL] [Abstract][Full Text] [Related]
15. Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets.
Luo X; Yang L; Cai H; Tang R; Chen Y; Li W
Comput Methods Programs Biomed; 2021 Sep; 208():106258. PubMed ID: 34218172
[TBL] [Abstract][Full Text] [Related]
16. Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study.
Zhang H; Zhang J; Li HB; Chen YX; Yang B; Guo YT; Chen YD
J Med Internet Res; 2019 Dec; 21(12):e14909. PubMed ID: 31793887
[TBL] [Abstract][Full Text] [Related]
17. Mobile Phone-Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App.
Proesmans T; Mortelmans C; Van Haelst R; Verbrugge F; Vandervoort P; Vaes B
JMIR Mhealth Uhealth; 2019 Mar; 7(3):e12284. PubMed ID: 30916656
[TBL] [Abstract][Full Text] [Related]
18. Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator.
Shen CP; Freed BC; Walter DP; Perry JC; Barakat AF; Elashery ARA; Shah KS; Kutty S; McGillion M; Ng FS; Khedraki R; Nayak KR; Rogers JD; Bhavnani SP
J Am Heart Assoc; 2023 Apr; 12(8):e026974. PubMed ID: 36942628
[TBL] [Abstract][Full Text] [Related]
19. Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.
Khezripour H; Mozaffari SP; Reshadi M; Zarrabi H
Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37285819
[TBL] [Abstract][Full Text] [Related]
20. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Hannun AY; Rajpurkar P; Haghpanahi M; Tison GH; Bourn C; Turakhia MP; Ng AY
Nat Med; 2019 Jan; 25(1):65-69. PubMed ID: 30617320
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
