Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
Authors
Keywords
-
Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-23
DOI
10.1007/s10462-021-09999-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Heartbeat classification by using a convolutional neural network trained with Walsh functions
- (2020) Zümray Dokur et al. NEURAL COMPUTING & APPLICATIONS
- A survey of the recent architectures of deep convolutional neural networks
- (2020) Asifullah Khan et al. ARTIFICIAL INTELLIGENCE REVIEW
- Early detection of ST-segment elevated myocardial infarction by artificial intelligence with 12-lead electrocardiogram
- (2020) Yifan Zhao et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- A deep neural network electrocardiogram analysis framework for left ventricular hypertrophy prediction
- (2020) Jimmy Ming-Tai Wu et al. Journal of Ambient Intelligence and Humanized Computing
- Biometric iris recognition using radial basis function neural network
- (2019) Megha Dua et al. SOFT COMPUTING
- Deep Learning Approach to Cardiovascular Disease Classification Employing Modified ECG Signal from Empirical Mode Decomposition
- (2019) Nahian Ibn Hasan et al. Biomedical Signal Processing and Control
- ST-segment elevation myocardial infarction
- (2019) Birgit Vogel et al. Nature Reviews Disease Primers
- Neural networks for facial age estimation: a survey on recent advances
- (2019) Prachi Punyani et al. ARTIFICIAL INTELLIGENCE REVIEW
- Inter-patient ECG classification with convolutional and recurrent neural networks
- (2019) Li Guo et al. Biocybernetics and Biomedical Engineering
- 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
- The Electrocardiogram
- (2019) John Hornick et al. MEDICAL CLINICS OF NORTH AMERICA
- Wearable Wireless Sensors Network for ECG Telemonitoring Using Neural Network for Features Extraction
- (2019) Amina El Attaoui et al. WIRELESS PERSONAL COMMUNICATIONS
- An Efficient Automated Algorithm for Distinguishing Normal and Abnormal ECG Signal
- (2019) M.K. Moridani et al. IRBM
- A comprehensive review of recent advances on deep vision systems
- (2018) Qaisar Abbas et al. ARTIFICIAL INTELLIGENCE REVIEW
- A survey on ECG analysis
- (2018) Selcan Kaplan Berkaya et al. Biomedical Signal Processing and Control
- Trends in biomedical signal feature extraction
- (2018) Sridhar Krishnan et al. Biomedical Signal Processing and Control
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
- (2018) Özal Yildirim COMPUTERS IN BIOLOGY AND MEDICINE
- Sparse representation of ECG signals for automated recognition of cardiac arrhythmias
- (2018) Sandeep Raj et al. EXPERT SYSTEMS WITH APPLICATIONS
- A deep learning approach for ECG-based heartbeat classification for arrhythmia detection
- (2018) G. Sannino et al. Future Generation Computer Systems-The International Journal of eScience
- Detection of abnormal heart conditions based on characteristics of ECG signals
- (2018) Mohamed Hammad et al. MEASUREMENT
- Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System
- (2018) Chengyu Liu et al. IEEE Internet of Things Journal
- Recognition of surgically altered face images: an empirical analysis on recent advances
- (2018) Tanupreet Sabharwal et al. ARTIFICIAL INTELLIGENCE REVIEW
- Arrhythmia detection using deep convolutional neural network with long duration ECG signals
- (2018) Özal Yıldırım et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep Neural Network Based Approach for ECG Classification Using Hybrid Differential Features and Active Learning
- (2018) Kazim Hanbay IET Signal Processing
- Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
- (2018) Yuki Hagiwara et al. INFORMATION SCIENCES
- A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis
- (2018) Francesco Beritelli et al. NEURAL NETWORKS
- Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
- (2018) Giorgio Biagetti et al. Biomedical Engineering Online
- Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers
- (2018) V. Mondéjar-Guerra et al. Biomedical Signal Processing and Control
- A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments
- (2018) Udit Satija et al. IEEE SENSORS JOURNAL
- Theoretical Analysis of Empirical Mode Decomposition
- (2018) Hengqing Ge et al. Symmetry-Basel
- High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal
- (2017) Pengfei Li et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System
- (2017) Gunasekaran Manogaran et al. MULTIMEDIA TOOLS AND APPLICATIONS
- R Peak Detection Method Using Wavelet Transform and Modified Shannon Energy Envelope
- (2017) Jeong-Seon Park et al. Journal of Healthcare Engineering
- Patient-Specific Deep Architectural Model for ECG Classification
- (2017) Kan Luo et al. Journal of Healthcare Engineering
- 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
- ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study
- (2017) Lucie Maršánová et al. Scientific Reports
- Machine Learning Techniques Applied to Data Analysis and Anomaly Detection in ECG Signals
- (2016) Tomasz Andrysiak APPLIED ARTIFICIAL INTELLIGENCE
- Cardiovascular Diseases in India
- (2016) Dorairaj Prabhakaran et al. CIRCULATION
- Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
- (2016) Fatin A. Elhaj et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- ECG-based heartbeat classification for arrhythmia detection: A survey
- (2016) Eduardo José da S. Luz et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Wearable Noncontact Armband for Mobile ECG Monitoring System
- (2016) Vega Pradana Rachim et al. IEEE Transactions on Biomedical Circuits and Systems
- Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
- (2016) Serkan Kiranyaz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Development of Ventricular Fibrillation Diagnosis Method Based on Neuro-fuzzy Systems for Automated External Defibrillators
- (2016) Sang-Hong Lee International Journal of Fuzzy Systems
- Cardiac arrhythmia classification using statistical and mixture modeling features of ECG signals
- (2016) Rashid Ghorbani Afkhami et al. PATTERN RECOGNITION LETTERS
- Miniaturized Human Insertable Cardiac Monitoring System with Wireless Power Transmission Technique
- (2016) Jong-Ha Lee Journal of Sensors
- Morphological mapping for non-linear dimensionality reduction
- (2015) Rajiv Kapoor et al. IET Computer Vision
- Automated analysis of ECG waveforms with atypical QRS complex morphologies
- (2014) Reza Tafreshi et al. Biomedical Signal Processing and Control
- Application of Cross Wavelet Transform for ECG Pattern Analysis and Classification
- (2014) Swati Banerjee et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Development of SVM based ECG Pattern Recognition Technique
- (2014) S S Mehta et al. IETE JOURNAL OF RESEARCH
- Discrete-wavelet-transform-based noise removal and feature extraction for ECG signals
- (2014) H.-Y. Lin et al. IRBM
- Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals
- (2013) Elizabeth Ann Maharaj et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Detection of Life-Threatening Arrhythmias Using Feature Selection and Support Vector Machines
- (2013) Felipe Alonso-Atienza et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Non-linear dimensionality reduction using fuzzy lattices
- (2013) Rajiv Kapoor et al. IET Computer Vision
- APPLICATION OF HIGHER ORDER CUMULANT FEATURES FOR CARDIAC HEALTH DIAGNOSIS USING ECG SIGNALS
- (2013) ROSHAN JOY MARTIS et al. International Journal of Neural Systems
- A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications
- (2013) E. B. Mazomenos et al. IEEE Journal of Biomedical and Health Informatics
- Cardiac decision making using higher order spectra
- (2012) Roshan Joy Martis et al. Biomedical Signal Processing and Control
- Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals
- (2012) Can Ye et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- ECG arrhythmia classification using a probabilistic neural network with a feature reduction method
- (2012) Jeen-Shing Wang et al. NEUROCOMPUTING
- Evolutionary artificial neural networks: a review
- (2011) Shifei Ding et al. ARTIFICIAL INTELLIGENCE REVIEW
- Wireless Sensor Networks for Monitoring Physiological Signals of Multiple Patients
- (2011) Reza S. Dilmaghani et al. IEEE Transactions on Biomedical Circuits and Systems
- Statistically matched wavelet-based method for detection of power quality events
- (2011) Rajiv Kapoor et al. INTERNATIONAL JOURNAL OF ELECTRONICS
- Local fractal dimension based ECG arrhythmia classification
- (2010) Amit K. Mishra et al. Biomedical Signal Processing and Control
- An Autoregressive Model-Based Particle Filtering Algorithms for Extraction of Respiratory Rates as High as 90 Breaths Per Minute From Pulse Oximeter
- (2010) Jinseok Lee et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Multiple Functional ECG Signal is Processing for Wearable Applications of Long-Term Cardiac Monitoring
- (2010) Xin Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Active Learning Methods for Electrocardiographic Signal Classification
- (2010) E Pasolli et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- PORTABLE, REAL-TIME, 12-LEAD ECG MONITORING SYSTEM
- (2010) Yi-Li Tseng et al. INSTRUMENTATION SCIENCE & TECHNOLOGY
- Sleep and Wake Classification With ECG and Respiratory Effort Signals
- (2009) Walter Karlen et al. IEEE Transactions on Biomedical Circuits and Systems
- A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals
- (2009) T. Ince et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Heartbeat Time Series Classification With Support Vector Machines
- (2009) A. Kampouraki et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Cardiac arrhythmia diagnosis method using linear discriminant analysis on ECG signals
- (2009) Yun-Chi Yeh et al. MEASUREMENT
- Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram
- (2008) S.S. Mehta et al. Biomedical Signal Processing and Control
- Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization
- (2008) F. Melgani et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Frequency-domain features for ECG beat discrimination using grey relational analysis-based classifier
- (2007) Chia-Hung Lin COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Constrained ECG compression algorithm using the block-based discrete cosine transform
- (2007) R. Benzid et al. DIGITAL SIGNAL PROCESSING
- Adaptive wavelet network for multiple cardiac arrhythmias recognition
- (2007) C LIN et al. EXPERT SYSTEMS WITH APPLICATIONS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started