Publications citing MIT-BIH Noise Stress Test Database v1.0.0

Optimized adaptive filtering using genetic algorithm and signal quality index for practical motion artefact reduction in ambulatory ECG
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Engineering Research Express, 2025. Cites: dataset

Denoising method for EEG-based expert system in fractional wavelet domain using adaptive residual-incorporating chirp-based model
Pengpeng Xie, Wenshan Zhao. Expert Systems with Applications, 2025. Cites: dataset

Detection of ECG Noise Using Optimized Pan-Tompkins Algorithm Combined with Squeeze-UNet
Xuan-Dung Nguyen, An-Dong Bui, Hoang-Dat Tran. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2025. Cites: dataset

Lightweight 2D Squeeze-U-Net Model for Real-Time Noise Detection on Wearable ECG Device
An-Dong Bui, Xuan-Dung Nguyen, Hoang-Dat Tran. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2025. Cites: dataset

Mind your indices! Index hijacking attacks on collaborative unpooling autoencoder systems
Ki‐Chang Lee, Jonghyuk Yun, Jaeho Jin et al. Internet of Things, 2024. Cites: dataset

Benchmarking open-source algorithms for QRS detection and RRI editing in textile electrocardiography
Kana Eguchi, Asmus Barth, Nicolai Spicher. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: dataset

Enhancement of single-lead dry-electrode ECG through wavelet denoising
Abdelrahman Abdou, Sridhar Krishnan. Frontiers in Signal Processing, 2024. Cites: dataset

A deep learning framework for ECG denoising and classification
Huyang Peng, Xiaohan Chang, Zhenjie Yao et al. Biomedical Signal Processing and Control, 2024. Cites: dataset

RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals
Amin Aminifar, Soheil Khooyooz, Anice Jahanjoo et al. IEEE International Symposium on Circuits and Systems proceedings, 2024. Cites: dataset

QRS Detector Performance Evaluation Aware of Temporal Accuracy and Presence of Noise
Wojciech Reklewski, Marek Miśkowicz, Piotr Augustyniak. Sensors, 2024. Cites: dataset

A Novel ECG Signal Quality Index Method Based on Skewness-MODWT Analysis
Ta Viet Tai, Ma Pham Nhut Tan, Duong Hoang Tien et al. IEEE Access, 2024. Cites: dataset

DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2024. Cites: dataset

Signal Quality Indices Based on Gain of Amplitude Difference for Wearable ECG Signals
Ta Viet Tai, Ma Pham Nhut Tan, Nguyen Minh Tri et al. International Conference on Advanced Technologies for Communications, 2023. Cites: dataset

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
Asiful Arefeen, Ali Akbari, Seyed Iman Mirzadeh et al. ACM Transactions on Computing for Healthcare, 2023. Cites: dataset

Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module
Keewon Shin, Hyunjung Kim, Woo-Young Seo et al. Computers in Biology and Medicine, 2023. Cites: dataset

Signal Quality Indices based on Skewness of Peak-Peak Interval for Wearable ECG Devices
Ta Viet Tai, Ma Pham Nhut Tan, Duong Hoang Tien et al. Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2023. Cites: dataset

Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
Mohammed Yaqoob, Omar Mourad, Khalid A. Qaraqe et al. Frontiers in Physiology, 2023. Cites: dataset

Signal quality indices evaluation for robust ECG signal quality assessment systems
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Biomedical Physics & Engineering Express, 2023. Cites: dataset

A High Sensitivity SQI with Peak-Amplitude Difference Variance for Wearable ECG Signals
Ta Viet Tai, Ma Pham Nhut Tan, Nguyen Minh Tri et al. International Conference on Bio-engineering for Smart Technologies (BioSMART), 2023. Cites: dataset

A denoising method of ECG signal based on variational autoencoder and masked convolution
Yinghao Xia, Changfang Chen, Minglei Shu et al. Journal of Electrocardiology, 2023. Cites: dataset

Design and FPGA Implementation of an Efficient Architecture for Noise Removal in ECG Signals Using Lifting-Based Wavelet Denoising
Anusaka Gon, Atin Mukherjee. 2023. Cites: dataset

An ECG detection device based on Convolutional Neural Network
Jiayu Guo, Wangze Li, Huichun Huang. International Conference on Intelligent Computing and Signal Processing (ICSP), 2023. Cites: dataset

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator
Christine P. Shen, Benjamin Freed, David P. Walter et al. Journal of the American Heart Association, 2023. Cites: dataset

Noise Confiscation from sEMG Through Enhanced Adaptive Filtering Based on Evolutionary Computing
Shubham Yadav, Suman Kumar Saha, Rajib Kar et al. Circuits Systems and Signal Processing, 2023. Cites: dataset

Isolation of multiple electrocardiogram artifacts using independent vector analysis
Zahoor Uddin, Muhammad Waseem Altaf, Ayaz Ahmad et al. PeerJ Computer Science, 2023. Cites: dataset

Interpatient Heartbeat Classification Using Modified Residual Attention Network With Two-Phase Training and Assistant Decision
Yanan Wang, Guohui Zhou, Cuiwei Yang. IEEE Transactions on Instrumentation and Measurement, 2022. Cites: dataset

Denoising method of ECG signal based on Channel Attention Mechanism
Junwei Zhang, Rui Bao, Lirong Wang et al. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022. Cites: dataset

ML algorithms to estimate data reliability metric of ECG from inter-patient data for trustable AI-based cardiac monitors
Mst Moriom R. Momota, Bashir I. Morshed. Smart Health, 2022. Cites: dataset

A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model
Shamik Tiwari, Anurag Jain, Varun Sapra et al. Expert Systems with Applications, 2022. Cites: dataset

Electromyography Parameter Variations with Electrocardiography Noise
Kang-Ming Chang, Peng-Ta Liu, Ta‐Sen Wei. Sensors, 2022. Cites: dataset

Using Multi-Task Learning-Based Framework to Detect ST-Segment and J-Point Deviation From Holter
Shuang Wu, Qing Cao, Qiaoran Chen et al. Frontiers in Physiology, 2022. Cites: dataset

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
Moncef Gabbouj, Serkan Kiranyaz B, Junaid Malik et al. IEEE Transactions on Neural Networks and Learning Systems, 2022. Cites: dataset

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Muhammad Uzair Zahid, Kiranyaz, Mustafa Serkan, Türker İnce et al. Qatar University QSpace (Qatar University), 2022. Cites: dataset

Grasshopper optimization algorithm based improved variational mode decomposition technique for muscle artifact removal in ECG using dynamic time warping
Pavan G. Malghan, Malaya Kumar Hota. Biomedical Signal Processing and Control, 2021. Cites: dataset

Real-time filtering adaptive algorithms for non-stationary noise in electrocardiograms
Nataliya Tulyakova, Oleksandr Mykolayovych Trofymchuk. Biomedical Signal Processing and Control, 2021. Cites: dataset

A denoising performance comparison based on ECG Signal Decomposition and local means filtering
Mohamed Sraitih, Younes Jabrane. Biomedical Signal Processing and Control, 2021. Cites: dataset

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Muhammad Uzair Zahid, Serkan Kiranyaz B, Türker İnce et al. IEEE Transactions on Biomedical Engineering, 2021. Cites: dataset

A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT
Somaraju Boda, Manjunatha Mahadevappa, Pranab Kumar Dutta. Biomedical Signal Processing and Control, 2021. Cites: dataset

Wavelet Sub-bands Features-based ECG Signal Quality Assessment Scheme for Computer-aided Monitoring System
Manas Rakshit, Susmita Das. IETE Journal of Research, 2021. Cites: dataset

Denoising of Electrocardiogram Signal Using S-Transform Based Time–Frequency Filtering Approach
Ankita Mishra, Sitanshu Sekhar Sahu, Rajeev Sharma et al. Arabian Journal for Science and Engineering, 2021. Cites: dataset

TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising
Mohammed Assam Ouali, Mouna Ghanai, Kheireddine Chafaa. Traitement du signal, 2020. Cites: dataset

A robust approach to denoise ECG signals based on fractional Stockwell transform
Aditi Bajaj, Sanjay Kumar. Biomedical Signal Processing and Control, 2020. Cites: dataset

Performance Evaluation of Various Pre-Processing Techniques for R-Peak Detection in ECG Signal
Varun Gupta, Monika Mittal, Vikas Mittal. IETE Journal of Research, 2020. Cites: dataset

A REVIEW ARTICLE NON LINEAR SIGNAL NOISE MINIMIZATION
International Journal of Engineering Sciences & Research Technology, 2020. Cites: dataset

Muscle Noise Cancellation from ECG Signal Using Self Correcting Leaky Normalized Least Mean Square Adaptive Filter under Varied Step Size and Leakage Coefficient
Anissa Khiter, Amel Baha Houda Adamou‐Mitiche, Lahcène Mitiche. Traitement du signal, 2020. Cites: dataset

Robust ECG R-peak detection using LSTM
Juho Laitala, Mingzhe Jiang, Elise Syrjälä et al. ACM Symposium on Applied Computing, 2020. Cites: dataset

Performance Study of Neural Network Unscented Kalman Filter for Denoising ECG Signal
Sabah Gaamouri, Mounir Bousbia-Salah, Rachid Hamdi. Smart innovation, systems and technologies, 2019. Cites: dataset

Robust Heart Rate Variability and Interbeat Interval Detection Algorithm in the Presence of Motion Artifacts
Ayca Aygun, Roozbeh Jafari. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2019. Cites: dataset

Denoising ECG Signals by Using Extended Kalman Filter to Train Multi-Layer Perceptron Neural Network
Sabah Gaamouri, Mounir Bousbia Salah, R. Hamdi. Automatic Control and Computer Sciences, 2018. Cites: dataset

Consideration of Calculation Process Assuming Heart Rate Variability Analysis Using Wearable ECG Devices
Ryosuke Aoki, Kana Eguchi, Suehiro Shimauchi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. Cites: dataset

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