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Towards quantitative precision for ECG analysis: Leveraging state space
  models, self-supervision and patient metadata

Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata

29 August 2023
Temesgen Mehari
Nils Strodthoff
ArXivPDFHTML

Papers citing "Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata"

10 / 10 papers shown
Title
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Mohammad Moulaeifard
Peter H. Charlton
Nils Strodthoff
OOD
67
1
0
26 Feb 2025
CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
AI4TS
CML
29
2
0
24 May 2024
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac
  and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Nils Strodthoff
Juan Miguel Lopez Alcaraz
Wilhelm Haverkamp
11
0
0
18 Dec 2023
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor
  Cores
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Daniel Y. Fu
Hermann Kumbong
Eric N. D. Nguyen
Christopher Ré
VLM
31
28
0
10 Nov 2023
Using explainable AI to investigate electrocardiogram changes during
  healthy aging -- from expert features to raw signals
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
Gabriel Ott
Yannik Schaubelt
Juan Miguel Lopez Alcaraz
Wilhelm Haverkamp
Nils Strodthoff
11
5
0
11 Oct 2023
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
34
5
0
10 Oct 2023
Scaling Representation Learning from Ubiquitous ECG with State-Space
  Models
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
Kleanthis Avramidis
Dominika Kunc
Bartosz Perz
Kranti Adsul
Tiantian Feng
Przemyslaw Kazienko
Stanisław Saganowski
Shrikanth Narayanan
AI4TS
17
3
0
26 Sep 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing
  and Knowledge Discovery
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner
Temesgen Mehari
Wilhelm Haverkamp
Nils Strodthoff
19
17
0
26 May 2023
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
43
51
0
18 Sep 2021
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
85
1,058
0
11 Sep 2019
1