ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.07089
  4. Cited By
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse
  Representation Based Domain Adaption to Energy Efficient Abnormal Beat
  Detection for Practical ECG Surveillance

A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance

14 July 2022
Mehmet Yamaç
Mert Duman
Ilke Adalioglu
S. Kiranyaz
Moncef Gabbouj
ArXiv (abs)PDFHTML

Papers citing "A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance"

4 / 4 papers shown
Title
Zoom and Shift are All You Need
Zoom and Shift are All You Need
Jiahao Qin
175
2
0
13 Jun 2024
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training
ETP: Learning Transferable ECG Representations via ECG-Text Pre-trainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Che Liu
Zhongwei Wan
Sibo Cheng
Mi Zhang
Rossella Arcucci
230
51
0
06 Sep 2023
Frozen Language Model Helps ECG Zero-Shot Learning
Frozen Language Model Helps ECG Zero-Shot LearningInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Jun Yu Li
Che Liu
Sibo Cheng
Rossella Arcucci
linda Qiao
187
83
0
22 Mar 2023
ECG Classification System for Arrhythmia Detection Using Convolutional
  Neural Networks
ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks
A. Odugoudar
Jaskaran Singh Walia
158
4
0
07 Mar 2023
1