<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Biomedical Data on CogSys Project Descriptions</title><link>https://cogsys.pages.compute.dtu.dk/projects/tags/biomedical-data/</link><description>Recent content in Biomedical Data on CogSys Project Descriptions</description><generator>Hugo -- 0.140.2</generator><language>en-us</language><lastBuildDate>Tue, 08 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cogsys.pages.compute.dtu.dk/projects/tags/biomedical-data/index.xml" rel="self" type="application/rss+xml"/><item><title>Extracting Biomagnetic Nerve Signals from Quantum Sensor Data</title><link>https://cogsys.pages.compute.dtu.dk/projects/projects/biomagnetic-nerve-signal-extraction/</link><pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate><guid>https://cogsys.pages.compute.dtu.dk/projects/projects/biomagnetic-nerve-signal-extraction/</guid><description>&lt;h2 id="background">Background&lt;/h2>
&lt;p>Nerves generate magnetic fields when an action potential travels along them. Measuring these fields
directly — rather than the electrical potentials picked up by electrodes — is attractive: the
magnetic field passes through tissue essentially undistorted and requires no electrical contact with
the sample. The catch is amplitude, as the field of a single nerve is in the nanotesla-to-picotesla
range, orders of magnitude below the noise floor of a single measurement.&lt;/p></description></item></channel></rss>