{"slug": "analysis-of-respiratory-sinus-arrhythmia-with-neural-networks", "title": "Analysis of Respiratory Sinus Arrhythmia with Neural Networks", "summary": "A paper submitted to arXiv on 4 Sep 2026 by Julian Szymanski introduces a neural network-based method for estimating respiratory rate from ECG signals by exploiting Respiratory Sinus Arrhythmia (RSA). The approach trains a deep learning model to predict respiratory waveforms directly from ECG input, and the authors developed and evaluated three different neural network architectures that automatically extract relevant features without manual preprocessing. The authors present the method as a robust, scalable solution for non-invasive respiratory monitoring with potential applications in healthcare and wearable technology.", "body_md": "# Computer Science > Machine Learning\n\n  [Submitted on 4 Sep 2026]\n\n# Title:Analysis of Respiratory Sinus Arrhythmia with Neural Networks\n\n[View PDF](/pdf/2609.05698)\n\n[HTML (experimental)](https://arxiv.org/html/2609.05698v1)\n\nAbstract: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- tion for non-invasive respiratory monitoring, with potential applications in healthcare and wearable technology\n    \n\n## Submission history\n\nFrom: Julian Szymanski JS [\n[view email](/show-email/85f7619a/2609.05698)]\n\n**[v1]** Fri, 4 Sep 2026 20:09:30 UTC (268 KB)\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\nIArxiv Recommender\n\n*(*[What is IArxiv?](https://iarxiv.org/about))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/analysis-of-respiratory-sinus-arrhythmia-with-neural-networks", "canonical_source": "https://arxiv.org/abs/2609.05698", "published_at": "2026-09-10 04:00:00+00:00", "updated_at": "2026-09-10 04:23:02.977747+00:00", "lang": "en", "topics": ["machine-learning", "neural-networks", "ai-research"], "entities": ["arXiv", "Julian Szymanski", "Respiratory Sinus Arrhythmia", "ECG"], "alternates": {"html": "https://wpnews.pro/news/analysis-of-respiratory-sinus-arrhythmia-with-neural-networks", "markdown": "https://wpnews.pro/news/analysis-of-respiratory-sinus-arrhythmia-with-neural-networks.md", "text": "https://wpnews.pro/news/analysis-of-respiratory-sinus-arrhythmia-with-neural-networks.txt", "jsonld": "https://wpnews.pro/news/analysis-of-respiratory-sinus-arrhythmia-with-neural-networks.jsonld"}}