<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Health-Tech on Pi Stack</title>
    <link>https://www.pistack.xyz/tags/health-tech/</link>
    <description>Recent content in Health-Tech on Pi Stack</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.pistack.xyz/tags/health-tech/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Self-Hosted Sleep &amp; Health Data Aggregation: Gadgetbridge vs Open mHealth vs Nightscout</title>
      <link>https://www.pistack.xyz/posts/2026-06-17-self-hosted-sleep-health-data-aggregation-gadgetbridge-openmhealth-nightscout/</link>
      <pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-06-17-self-hosted-sleep-health-data-aggregation-gadgetbridge-openmhealth-nightscout/</guid>
      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Wearables and health trackers generate a wealth of personal data — sleep patterns, heart rate variability, step counts, and more. But most of this data lives in proprietary cloud silos controlled by device manufacturers. Self-hosted health data aggregation platforms give you full ownership of your quantified-self data while enabling cross-device analysis that no single manufacturer&amp;rsquo;s app provides. This article compares three approaches to self-hosted health data collection: &lt;strong&gt;Gadgetbridge&lt;/strong&gt; (device communication), &lt;strong&gt;Open mHealth&lt;/strong&gt; (data standardization), and &lt;strong&gt;Nightscout&lt;/strong&gt; (continuous data visualization).&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
