319 related articles for article (PubMed ID: 27208521)
1. Congestive heart failure detection using random forest classifier.
Masetic Z; Subasi A
Comput Methods Programs Biomed; 2016 Jul; 130():54-64. PubMed ID: 27208521
[TBL] [Abstract][Full Text] [Related]
2. Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.
Sudarshan VK; Acharya UR; Oh SL; Adam M; Tan JH; Chua CK; Chua KP; Tan RS
Comput Biol Med; 2017 Apr; 83():48-58. PubMed ID: 28231511
[TBL] [Abstract][Full Text] [Related]
3. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
Alickovic E; Subasi A
J Med Syst; 2016 Apr; 40(4):108. PubMed ID: 26922592
[TBL] [Abstract][Full Text] [Related]
4. Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning.
Fuadah YN; Lim KM
Front Physiol; 2021; 12():761013. PubMed ID: 35185594
[TBL] [Abstract][Full Text] [Related]
5. Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme.
Tripathy RK; Paternina MRA; Arrieta JG; Zamora-Méndez A; Naik GR
Comput Methods Programs Biomed; 2019 May; 173():53-65. PubMed ID: 31046996
[TBL] [Abstract][Full Text] [Related]
6. Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks.
Çınar A; Tuncer SA
Comput Methods Biomech Biomed Engin; 2021 Feb; 24(2):203-214. PubMed ID: 32955928
[TBL] [Abstract][Full Text] [Related]
7. The effect of principal component analysis in the diagnosis of congestive heart failure via heart rate variability analysis.
Selek MB; Yesilkaya B; Egeli SS; Isler Y
Proc Inst Mech Eng H; 2021 Dec; 235(12):1479-1488. PubMed ID: 34365841
[TBL] [Abstract][Full Text] [Related]
8. Generalized discriminant analysis for congestive heart failure risk assessment based on long-term heart rate variability.
Shahbazi F; Asl BM
Comput Methods Programs Biomed; 2015 Nov; 122(2):191-8. PubMed ID: 26344584
[TBL] [Abstract][Full Text] [Related]
9. The Performance of Short-Term Heart Rate Variability in the Detection of Congestive Heart Failure.
Lucena F; Barros AK; Ohnishi N
Biomed Res Int; 2016; 2016():1675785. PubMed ID: 27891509
[TBL] [Abstract][Full Text] [Related]
10. Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.
Hussain L; Aziz W; Khan IR; Alkinani MH; Alowibdi JS
Math Biosci Eng; 2020 Nov; 18(1):69-91. PubMed ID: 33525081
[TBL] [Abstract][Full Text] [Related]
11. Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.
Hussain L; Awan IA; Aziz W; Saeed S; Ali A; Zeeshan F; Kwak KS
Biomed Res Int; 2020; 2020():4281243. PubMed ID: 32149106
[TBL] [Abstract][Full Text] [Related]
12. Time-domain heart rate variability features for automatic congestive heart failure prediction.
Moses JC; Adibi S; Angelova M; Islam SMS
ESC Heart Fail; 2024 Feb; 11(1):378-389. PubMed ID: 38009405
[TBL] [Abstract][Full Text] [Related]
13. Real-time CHF detection from ECG signals using a novel discretization method.
Orhan U
Comput Biol Med; 2013 Oct; 43(10):1556-62. PubMed ID: 24034747
[TBL] [Abstract][Full Text] [Related]
14. Congestive Heart Failure Detection Via Short-Time Electrocardiographic Monitoring For Fast Reference Advice In Urgent Medical Conditions.
Zhang Y; Yang Q; Pang W; Argha A; Xu P; Su S; Yao D
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2256-2259. PubMed ID: 30440855
[TBL] [Abstract][Full Text] [Related]
15. Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification.
Rahman QA; Tereshchenko LG; Kongkatong M; Abraham T; Abraham MR; Shatkay H
IEEE Trans Nanobioscience; 2015 Jul; 14(5):505-12. PubMed ID: 25915962
[TBL] [Abstract][Full Text] [Related]
16. Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.
Kirodiwal A; Jahnavi D; Dash A; Ghosh N; Patra A
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():2001-2004. PubMed ID: 36086436
[TBL] [Abstract][Full Text] [Related]
17. An Integrated Machine Learning Approach for Congestive Heart Failure Prediction.
Singh MS; Thongam K; Choudhary P; Bhagat PK
Diagnostics (Basel); 2024 Mar; 14(7):. PubMed ID: 38611649
[TBL] [Abstract][Full Text] [Related]
18. A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement.
Chen W; Zheng L; Li K; Wang Q; Liu G; Jiang Q
PLoS One; 2016; 11(11):e0165304. PubMed ID: 27835634
[TBL] [Abstract][Full Text] [Related]
19. Inter-Patient Congestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Network.
Liu T; Si Y; Yang W; Huang J; Yu Y; Zhang G; Zhou R
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590972
[TBL] [Abstract][Full Text] [Related]
20. A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform.
Altan G; Kutlu Y; Allahverdi N
Comput Methods Programs Biomed; 2016 Dec; 137():23-34. PubMed ID: 28110727
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
