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While recent multimodal large language models (MLLMs) have advanced automated ECG interpretation, they still face two key limitations: (1) insufficient multimodal synergy between time series signals and visual ECG representations, and (2) limited explainability in linking diagnoses to granular waveform evidence.
ENCASE: an ensemble classifier for ECG classification using expert features and deep neural networks
Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, and Junqing Xie · 2017
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A survey on ecg analysis
Selcan Kaplan Berkaya, Alper Kursat Uysal, Efnan Sora Gunal, Semih Ergin, Serkan Gunal, and M Bilginer Gulmezoglu · 2018
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An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection
Feifei Liu, Chengyu Liu, Lina Zhao, Xiangyu Zhang, Xiaoling Wu, Xiaoyan Xu, Yulin Liu, Caiyun Ma, Shoushui Wei, Zhiqiang He, et al · 2018
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The computerized ecg: Friend and foe
Harold Smulyan · 2018
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H Tison, Codie Bourn, Mintu P Turakhia, and Andrew Y Ng · 2019
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Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings
Shenda Hong, Yuxi Zhou, Meng Wu, Junyuan Shang, Qingyun Wang, Hongyan Li, and Junqing Xie · 2019
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Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020
Erick A Perez Alday, Annie Gu, Amit J Shah, Chad Robichaux, An-Kwok Ian Wong, Chengyu Liu, Feifei Liu, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, et al · 2020
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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, and Jimeng Sun · 2020
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Ptb-xl, a large publicly available electrocardiography dataset
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I Lunze, Wojciech Samek, and Tobias Schaeffter · 2020
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A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients
Jianwei Zheng, Jianming Zhang, Sidy Danioko, Hai Yao, Hangyuan Guo, and Cyril Rakovski · 2020
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Clocs: Contrastive learning of cardiac signals across space, time, and patients
Dani Kiyasseh, Tingting Zhu, and David A Clifton · 2021
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Code-15%: A large scale annotated dataset of 12-lead ecgs
Antônio H Ribeiro, GM Paixao, Emilly M Lima, M Horta Ribeiro, Marcelo M Pinto Filho, Paulo R Gomes, Derick M Oliveira, Wagner Meira Jr, Thömas B Schon, and Antonio Luiz P Ribeiro · 2021
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Identification of 27 abnormalities from multi-lead ecg signals: An ensembled se_resnet framework with sign loss function
Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, et al · 2021
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Intra-inter subject self-supervised learning for multivariate cardiac signals
Xiang Lan, Dianwen Ng, Shenda Hong, and Mengling Feng · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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JoLT: Jointly learned representations of language and time-series
Yifu Cai, Mononito Goswami, Arjun Choudhry, Arvind Srinivasan, and Artur Dubrawski · 2023
Cited alongside, same era.
Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models
Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, and Jingren Zhou · 2023
Cited alongside, same era.
Mimic-iv-ecg: Diagnostic electrocardiogram matched subset
Brian Gow, Tom Pollard, Larry A Nathanson, Alistair Johnson, Benjamin Moody, Chrystinne Fernandes, Nathaniel Greenbaum, Jonathan W Waks, Parastou Eslami, Tanner Carbonati, et al · 2023
Cited alongside, same era.
simplenomo: a python package of making nomograms for visualizable calculation of logistic regression models
Haoyang Hong and Shenda Hong · 2023
Cited alongside, same era.
Llava-med: Training a large language-and-vision assistant for biomedicine in one day
Frozen language model helps ecg zero-shot learning
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, and Shenda Hong · 2024
Later among the works it cites.
Ecg-fm: An open electrocardiogram foundation model
Kaden McKeen, Laura Oliva, Sameer Masood, Augustin Toma, Barry Rubin, and Bo Wang · 2024
Later among the works it cites.
Moving beyond medical statistics: A systematic review on missing data handling in electronic health records
Wenhui Ren, Zheng Liu, Yanqiu Wu, Zhilong Zhang, Shenda Hong, Huixin Liu, and Missing Data in Electronic health Records (MINDER) Group · 2024
Later among the works it cites.
Ecg-image-kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization
Kshama Kodthalu Shivashankara, Afagh Mehri Shervedani, Gari D Clifford, Matthew A Reyna, Reza Sameni, et al · 2024
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Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, and Jianfeng Gao · 2023
Cited alongside, same era.
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, et al · 2023
Cited alongside, same era.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, Harlan M Krumholz, Jure Leskovec, Eric J Topol, and Pranav Rajpurkar · 2023
Cited alongside, same era.
Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Adityanarayanan Radhakrishnan, Sam F Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, and Caroline Uhler · 2023
Cited alongside, same era.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Cited alongside, same era.
Biot: Biosignal transformer for cross-data learning in the wild
Chaoqi Yang, M Westover, and Jimeng Sun · 2023
Cited alongside, same era.
Zero-shot ecg diagnosis with large language models and retrieval-augmented generation
Han Yu, Peikun Guo, and Akane Sano · 2023
Cited alongside, same era.
Video-llama: An instruction-tuned audio-visual language model for video understanding
Hang Zhang, Xin Li, and Lidong Bing · 2023
Cited alongside, same era.
Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, and Mi Zhang · 2024
Later among the works it cites.
Vision-language models for vision tasks: A survey
Jingyi Zhang, Jiaxing Huang, Sheng Jin, and Shijian Lu · 2024
Later among the works it cites.
Multimodal chatgpt-4v for electrocardiogram interpretation: Promise and limitations
Lingxuan Zhu, Weiming Mou, Keren Wu, Yancheng Lai, Anqi Lin, Tao Yang, Jian Zhang, and Peng Luo · 2024
Later among the works it cites.
Deepseek-r1 incentivizes reasoning in llms through reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, et al · 2025
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A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, and Erik Cambria · 2025
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Visual instruction tuning towards general-purpose multimodal large language model: A survey
Jiaxing Huang, Jingyi Zhang, Kai Jiang, Han Qiu, Xiaoqin Zhang, Ling Shao, Shijian Lu, and Dacheng Tao · 2025
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Uniecg: Understanding and generating ecg in one unified model
Jiarui Jin, Haoyu Wang, Xiang Lan, Jun Li, Gaofeng Cheng, Hongyan Li, and Shenda Hong · 2025
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Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, Atilla Kiraly, Madeleine Traverse, Timo Kohlberger, Shawn Xu, Fayaz Jamil, Cían Hughes, Charles Lau, et al · 2025
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Ecg-lm: Understanding electrocardiogram with a large language model
Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, et al · 2025
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Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, and Dacheng Tao · 2025
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