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CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

27 May 2020
Dani Kiyasseh
T. Zhu
David A. Clifton
ArXivPDFHTML

Papers citing "CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients"

50 / 93 papers shown
Title
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
A. Atienza
G. Manimaran
S. Puthusserypady
Helena Domínguez
Peter K. Jacobsen
J. Bardram
58
0
0
04 Mar 2025
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
Nastaran Mansourian
Arash Mohammadi
M. Omair Ahmad
M. Swamy
MoE
33
0
0
03 Mar 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
A. Atienza
J. Bardram
S. Puthusserypady
33
0
0
28 Feb 2025
CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
A. Atienza
G. Manimaran
J. Bardram
S. Puthusserypady
39
0
0
28 Feb 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
B. U. Demirel
Christian Holz
OOD
AI4TS
74
0
0
27 Feb 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
42
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
C. Ouyang
Zhongwei Wan
Haozhe Wang
Wenjia Bai
Rossella Arcucci
58
1
0
25 Feb 2025
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
Jiarui Jin
Haoyu Wang
Hongyan Li
Jun Yu Li
Jiahui Pan
Shenda Hong
41
5
0
15 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
93
1
0
06 Feb 2025
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram
  Language Modeling
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling
William Jongwon Han
Chaojing Duan
M. Rosenberg
Emerson Liu
Ding Zhao
67
0
0
18 Dec 2024
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
88
0
0
15 Dec 2024
Finding "Good Views" of Electrocardiogram Signals for Inferring
  Abnormalities in Cardiac Condition
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
Hyewon Jeong
Suyeol Yun
Hammaad Adam
65
0
0
11 Nov 2024
PaPaGei: Open Foundation Models for Optical Physiological Signals
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai
Dimitris Spathis
F. Kawsar
Mohammad Malekzadeh
VLM
37
7
0
27 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in
  Healthcare
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
Arno Blaas
Adam Goliñski
Andrew C. Miller
Luca Zappella
J. Jacobsen
Christina Heinze-Deml
OOD
25
0
0
25 Oct 2024
Contrastive random lead coding for channel-agnostic self-supervision of
  biosignals
Contrastive random lead coding for channel-agnostic self-supervision of biosignals
Thea Brusch
Mikkel N. Schmidt
T. S. Alstrøm
SSL
13
0
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
X. Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
38
9
0
21 Oct 2024
Dynamic Contrastive Learning for Time Series Representation
Dynamic Contrastive Learning for Time Series Representation
Abdul-Kazeem Shamba
Kerstin Bach
Gavin Taylor
AI4TS
29
0
0
20 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
52
2
0
18 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and
  Temporal Contrast
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
Yu Wu
Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
23
1
0
14 Oct 2024
Learning General Representation of 12-Lead Electrocardiogram with a
  Joint-Embedding Predictive Architecture
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
Sehun Kim
25
1
0
11 Oct 2024
Estimating ECG Intervals from Lead-I Alone: External Validation of
  Supervised Models
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam
Collin M. Stultz
16
0
0
12 Aug 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
A. Atienza
J. Bardram
S. Puthusserypady
BDL
AI4TS
33
2
0
24 Jul 2024
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation
  Learning
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
Saeed Shurrab
Alejandro Guerra-Manzanares
Farah E. Shamout
26
1
0
05 Jul 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
31
0
0
20 Jun 2024
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in
  Cardiovascular System Signals
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Qihan Hu
Daomiao Wang
Hong Wu
Jian Liu
Cuiwei Yang
33
0
0
13 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous
  Clinical Electrocardiogram Monitoring
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite
Uzair Tahamid Siam
Brian Ayers
Nicholas Houstis
Aaron D Aguirre
29
1
0
07 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
AI4TS
32
0
0
07 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
42
1
0
01 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching
  Gap
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Michal Klein
James Thornton
Marco Cuturi
38
2
0
29 May 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain
  Activity, ECG and Respiratory Signals
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
Rahul Thapa
Bryan He
Magnus Ruud Kjær
IV HyattE.Moore
Gauri Ganjoo
Emmanuel Mignot
James Y. Zou
22
12
0
28 May 2024
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with
  LLM-Enhanced Cardiological Text
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
Han Yu
Peikun Guo
Akane Sano
34
15
0
26 May 2024
Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang
Nan Huang
Taida Li
Yujun Yan
Xiang Zhang
MedIm
AI4TS
30
21
0
24 May 2024
NERULA: A Dual-Pathway Self-Supervised Learning Framework for
  Electrocardiogram Signal Analysis
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis
G. Manimaran
S. Puthusserypady
Helena Domínguez
A. Atienza
J. Bardram
30
1
0
21 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
  Models
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
46
3
0
17 May 2024
Joint Contrastive Learning with Feature Alignment for Cross-Corpus
  EEG-based Emotion Recognition
Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition
Qile Liu
Zhihao Zhou
Jiyuan Wang
Zhen Liang
35
1
0
15 Apr 2024
Self-Supervised Learning for Time Series: Contrastive or Generative?
Self-Supervised Learning for Time Series: Contrastive or Generative?
Ziyu Liu
Azadeh Alavi
Minyi Li
Xiang Zhang
AI4TS
48
7
0
14 Mar 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
35
28
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
25
24
0
02 Feb 2024
Soft Contrastive Learning for Time Series
Soft Contrastive Learning for Time Series
Seunghan Lee
Taeyoung Park
Kibok Lee
AI4TS
27
19
0
27 Dec 2023
Event-Based Contrastive Learning for Medical Time Series
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong
Nassim Oufattole
Matthew B. A. McDermott
Aparna Balagopalan
P. Chandak
Marzyeh Ghassemi
Collin M. Stultz
21
4
0
16 Dec 2023
Large-scale Training of Foundation Models for Wearable Biosignals
Large-scale Training of Foundation Models for Wearable Biosignals
Salar Abbaspourazad
Oussama Elachqar
Andrew C. Miller
S. Emrani
Udhyakumar Nallasamy
Ian Shapiro
23
30
0
08 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
30
0
0
01 Dec 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time
  Series
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
Trang H. Tran
Lam M. Nguyen
Kyongmin Yeo
Nam H. Nguyen
Roman Vaculin
AI4TS
24
0
0
21 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
27
5
0
15 Nov 2023
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive
  Learning
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell A. Xu
Alexander Moreno
Hui Wei
Benjamin M. Marlin
James M. Rehg
AI4TS
SSL
26
11
0
01 Nov 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang
Yu Han
Haishuai Wang
Xiang Zhang
AI4TS
22
46
0
21 Oct 2023
T-Rep: Representation Learning for Time Series using Time-Embeddings
T-Rep: Representation Learning for Time Series using Time-Embeddings
Archibald Fraikin
Adrien Bennetot
S. Allassonnière
AI4TS
15
10
0
06 Oct 2023
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method
  for ECG signal
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal
Han Yu
Huiyuan Yang
Akane Sano
22
1
0
01 Oct 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
B. U. Demirel
Christian Holz
AI4TS
24
18
0
23 Sep 2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on
  Biosignals
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu
Ellen L. Zippi
Hadi Pouransari
Chris Sandino
Jingping Nie
Hanlin Goh
Erdrin Azemi
Ali Moin
31
12
0
12 Sep 2023
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