Cited by
MIT-BIH Noise Stress Test Database (v1.0.0)
91 publications cite any version of this project or its primary paper, newest first.
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BLiSS: A Beat-Local, Signal-Quality-Informed Kalman Smoother for ECG Denoising under Non-Stationary Muscle Artifact, with Ectopic-Beat Reconstruction Assessment
Khanh Duy Tran. Research Square, 2026. Cites: dataset -
DT4ECG: a subject-aware ECG monitoring framework for joint user attribution and human activity recognition
Siyu You, Boyuan Gu, Yanhui Yang et al. Biomedical Physics & Engineering Express, 2026. Cites: dataset -
Patient and database shift in lightweight ECG arrhythmia classification: a controlled evaluation of noise, quantization, and embedded inference
Hyun Mok Park, Woojin Cho, Seok-Oh Bang et al. Medical Engineering & Physics, 2026. Cites: dataset -
Energy-efficient spiking neural network-based ECG signal quality assessment framework through comparative spike encoding analysis
Soumen Maity, Manas Rakshit, Goutam Kumar Gupta. Biomedical Signal Processing and Control, 2026. Cites: dataset -
Multi-Noise Removal from ECG Signals Using Residual Block-Based Generative Adversarial Networks with Customized Loss Function
Mohamed Sraitih, Amir Hajjam El Hassani, Younes Jabrane et al. Research Square, 2026. Cites: dataset -
A Software Tool for ECG Denoising with Adaptive Filtering
Metin Hatun, Fahri Vatansever. Deu Muhendislik Fakultesi Fen ve Muhendislik, 2026. Cites: dataset -
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 -
A simple approach to ECG Motion Artifacts Reduction by MDWD Coefficients Removal
Elisabetta Spinazzola, Luciano Prono, Fabio Pareschi et al. IEEE International Symposium on Circuits and Systems proceedings, 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 -
SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing
Juho Laitala, Jiang M., Elise Syrjälä et al. UTUPub (University of Turku), 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
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