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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PulseFi: A Low Cost Robust Machine Learning System for Accurate Cardiopulmonary and Apnea Monitoring Using Channel State Information · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.24744/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2510.24744/feed.xml" rel="self" type="application/rss+xml" /><item><title>PulseFi: A Low Cost Robust Machine Learning System for Accurate Cardiopulmonary and Apnea Monitoring Using Channel State Information — mentioned by lukeschlather</title><link>https://news.ycombinator.com/item?id=46976831</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.24744:46976831</guid><pubDate>Wed, 11 Feb 2026 16:15:42 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s at least possible to record heart rate with wifi, so that suggests a broad variety of biometrics can be recorded. https://arxiv.org/abs/2510.24744&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.24744/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.SP</category></item></channel></rss>
