ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2502.10707
  4. Cited By
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

15 February 2025
Jiarui Jin
Haoyu Wang
Hongyan Li
Jun Yu Li
Jiahui Pan
Shenda Hong
ArXivPDFHTML

Papers citing "Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model"

25 / 25 papers shown
Title
Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework
Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework
William Jongwon Han
Chaojing Duan
Zhepeng Cen
Yihang Yao
Xiaoyu Song
Atharva Mhaskar
Dylan Leong
Michael A. Rosenberg
Emerson Liu
Ding Zhao
22
0
0
24 May 2025
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
Xi Fu
Wei-Bang Jiang
Yi Ding
Cuntai Guan
70
0
0
28 Apr 2025
ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning
ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning
Mingyu Dong
Zhidong Zhao
Hao Wang
Yefei Zhang
Yanjun Deng
329
0
0
25 Apr 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
Mingsheng Cai
Jiuming Jiang
Wenhao Huang
Che Liu
Rossella Arcucci
AI4TS
69
0
0
27 Feb 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Che Liu
Cheng Ouyang
Zhongwei Wan
Haozhe Wang
Wenjia Bai
Rossella Arcucci
74
1
0
25 Feb 2025
Large Brain Model for Learning Generic Representations with Tremendous
  EEG Data in BCI
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang
Li-Ming Zhao
Bao-Liang Lu
62
74
0
29 May 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time
  Clinical Knowledge Enhancement
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
Che Liu
Zhongwei Wan
Ouyang Cheng
Anand Shah
Wenjia Bai
Rossella Arcucci
49
30
0
11 Mar 2024
Guiding Masked Representation Learning to Capture Spatio-Temporal
  Relationship of Electrocardiogram
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na
Minje Park
Yunwon Tae
S. Joo
52
26
0
02 Feb 2024
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised
  Representation Learning
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
Seokmin Choi
Sajad Mousavi
Phillip Si
Haben Yhdego
Fatemeh Khadem
Fatemeh Afghah
SSL
65
4
0
10 Jun 2023
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
40
314
0
12 Aug 2022
Self-Supervised Time Series Representation Learning via Cross
  Reconstruction Transformer
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Wen-Rang Zhang
Ling Yang
Shijia Geng
Shenda Hong
ViT
AI4TS
39
42
0
20 May 2022
Lead-agnostic Self-supervised Learning for Local and Global
  Representations of Electrocardiogram
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
Jungwoo Oh
Hyunseung Chung
Joon-Myoung Kwon
Dongwoo Hong
Edward Choi
SSL
14
35
0
14 Mar 2022
A Simple Self-Supervised ECG Representation Learning Method via
  Manipulated Temporal-Spatial Reverse Detection
A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection
Wen-Rang Zhang
Shijia Geng
linda Qiao
26
29
0
25 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
40
120
0
08 Feb 2022
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac
  Signals
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan
Dianwen Ng
linda Qiao
Mengling Feng
OOD
73
51
0
18 Sep 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
65
494
0
26 Jun 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
114
1,837
0
05 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
211
2,321
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
169
3,992
0
20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
251
6,718
0
13 Jun 2020
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh
T. Zhu
David Clifton
55
188
0
27 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
179
18,523
0
13 Feb 2020
On Layer Normalization in the Transformer Architecture
On Layer Normalization in the Transformer Architecture
Ruibin Xiong
Yunchang Yang
Di He
Kai Zheng
Shuxin Zheng
Chen Xing
Huishuai Zhang
Yanyan Lan
Liwei Wang
Tie-Yan Liu
AI4CE
80
973
0
12 Feb 2020
MINA: Multilevel Knowledge-Guided Attention for Modeling
  Electrocardiography Signals
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
linda Qiao
Cao Xiao
Tengfei Ma
Hongyan Li
Jimeng Sun
38
67
0
27 May 2019
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
360
129,831
0
12 Jun 2017
1