标题
Explainable AI decision model for ECG data of cardiac disorders
作者
关键词
Electrocardiogram, ECG Waves, Deep Learning, CNN, Residual Networks, SHAP, Interpretability, XAI
出版物
Biomedical Signal Processing and Control
Volume 75, Issue -, Pages 103584
出版商
Elsevier BV
发表日期
2022-02-23
DOI
10.1016/j.bspc.2022.103584
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
- (2021) Steven A. Hicks et al. Scientific Reports
- Clinical applicability and diagnostic performance of electrocardiographic criteria for left ventricular hypertrophy diagnosis in older adults
- (2021) Caio de Assis Moura Tavares et al. Scientific Reports
- Electrocardiographic morphology during left bundle branch area pacing: Characteristics, underlying mechanisms, and clinical implications
- (2020) Ming‐Yang Gao et al. PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY
- A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients
- (2020) Jianwei Zheng et al. Scientific Data
- PTB-XL, a large publicly available electrocardiography dataset
- (2020) Patrick Wagner et al. Scientific Data
- Automated detection of myocardial infarction in ECG using modified Stockwell transform and phase distribution pattern from time-frequency analysis
- (2020) Sushree Satvatee Swain et al. Biocybernetics and Biomedical Engineering
- SpEC: A system for patient specific ECG beat classification using deep residual network
- (2020) Jaya Prakash Allam et al. Biocybernetics and Biomedical Engineering
- 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation
- (2020) Jean-Philippe Collet et al. EUROPEAN HEART JOURNAL
- Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
- (2020) Ozal Yildirim et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms
- (2020) Thilo Rieg et al. PLoS One
- Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
- (2020) Nils Strodthoff et al. IEEE Journal of Biomedical and Health Informatics
- Machine Learning Interpretability: A Survey on Methods and Metrics
- (2019) Diogo V. Carvalho et al. Electronics
- Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
- (2019) Zachi I. Attia et al. Circulation-Arrhythmia and Electrophysiology
- A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification
- (2019) Leandro B. Marinho et al. Future Generation Computer Systems-The International Journal of eScience
- An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
- (2019) Zachi I Attia et al. LANCET
- 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults
- (2018) Paul K. Whelton et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank
- (2018) Manish Sharma et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- (2018) Awni Y. Hannun et al. NATURE MEDICINE
- WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet
- (2018) Naushad Ansari et al. Biomedical Signal Processing and Control
- ECG interpretation in Emergency Department residents
- (2017) Francois X. Barthelemy et al. European Journal of Emergency Medicine
- Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
- (2017) Bahareh Pourbabaee et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A Novel 12-Lead ECG T-Shirt with Active Electrodes
- (2016) Anna Boehm et al. Electronics
- Non–Q-Wave Myocardial Infarction
- (2013) Manuel Velasco et al. AMERICAN JOURNAL OF THERAPEUTICS
- ECG Diagnosis and Classification of Acute Coronary Syndromes
- (2013) Yochai Birnbaum et al. ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
- Fractal and EMD based removal of baseline wander and powerline interference from ECG signals
- (2013) Sakshi Agrawal et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework
- (2013) Roshan Joy Martis et al. KNOWLEDGE-BASED SYSTEMS
- Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier
- (2010) Muhammad Arif et al. JOURNAL OF MEDICAL SYSTEMS
- A novel fuzzy c-means method for classifying heartbeat cases from ECG signals
- (2010) Yun-Chi Yeh et al. MEASUREMENT
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