arXiv Artificial Intelligence

Analysis of Respiratory Sinus Arrhythmia with Neural Networks

9 hours ago 10.09.2026 07:00 👁 1 views
Analysis of Respiratory Sinus Arrhythmia with Neural Networks

Quick summary

arXiv:2609.05698v1 Announce Type: cross Abstract: The paper introduces a neural network-based approach for analyzing ECG signals to estimate respiratory rate by leveraging the phe- nomenon of Respiratory Sinus Arrhythmia (RSA). Our method employs a deep learning model trained to predict respiratory waveforms directly from ECG input data. To achieve this, we developed and evaluated three different neural network architectures capable of automatically extract- ing relevant features from ECG signals without the need for manual preprocessing. The proposed approach offers a robust and scalable solu

Key takeaways

  • arXiv:2609.05698v1 Announce Type: cross Abstract: The paper introduces a neural network-based approach for analyzing ECG signals to estimate respiratory rate by leveraging the phe- nomenon of Respiratory Sinus Arrhythmia (RSA).
  • Our method employs a deep learning model trained to predict respiratory waveforms directly from ECG input data.
  • To achieve this, we developed and evaluated three different neural network architectures capable of automatically extract- ing relevant features from ECG signals without the need for manual preprocessing.

Why it matters

“Analysis of Respiratory Sinus Arrhythmia with Neural Networks” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗