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<!DOCTYPE html>
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  <title>MEDWEAR: Open Standard for Wearable Health Data</title>
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  <link rel="icon" href="favicon.svg" type="image/svg+xml" />
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  <header>
    <a href="index.html" class="header-brand">MEDWEAR</a>
    <nav>
      <a href="index.html" class="active">Home</a>
      <a href="about.html">About</a>
      <a href="documentation.html">Documentation</a>
      <a href="schemas.html">Schemas</a>
      <a href="med-api.html">MED-API</a>
      <a href="use-cases.html">Use Cases</a>
      <a href="contribute.html">Contribute</a>
    </nav>
  </header>

  <div class="hero">
    <div class="hero-content">
      <h1>Open Standards for<br>Medical Wearables</h1>
      <p>Vendor-agnostic, FAIR-compliant schemas for the next generation of wearable health data.</p>
      <div class="hero-actions">
        <a href="documentation.html" class="btn-primary">Get Started</a>
        <a href="about.html" class="btn-secondary">Learn More</a>
      </div>
    </div>
  </div>

  <div class="content-container">
    <main>

      <section>
        <h2>What is MEDWEAR?</h2>
        <p>
          MEDWEAR is a collaborative project partially funded by the Open Research Data program of the ETH Board
          and the Schweizer Paraplegiker Stiftung.
          We define open standards for raw wearable sensor data that are vendor-agnostic and
          FAIR (Findable, Accessible, Interoperable, and Reusable).
        </p>
        <p>Through community-driven development, we are creating:</p>
        <ul>
          <li>A data collection platform and REST API for managing wearable health data at scale.</li>
          <li>Expanded Open mHealth schemas based on IEEE 1752, covering high-frequency biosignals.</li>
          <li>Conversion tools from JSON schemas to ROS 2 message definitions for robotic applications.</li>
          <li>Libraries for real-time data stream support and educational materials.</li>
        </ul>
      </section>

      <section>
        <h2>Explore MEDWEAR</h2>
        <div class="quick-links">
          <a href="about.html" class="quick-link-card">
            <h3>About</h3>
            <p>Project background, collaborating institutions, and the motivation for wearable data standardization.</p>
          </a>
          <a href="documentation.html" class="quick-link-card">
            <h3>Documentation</h3>
            <p>Get started with the data schemas or deploy the MEDWEAR data collection platform.</p>
          </a>
          <a href="schemas.html" class="quick-link-card">
            <h3>Schemas</h3>
            <p>JSON Schema and ROS 2 message definitions for BCG, ECG, PPG, EEG, EDA, IMU, and more.</p>
          </a>
          <a href="med-api.html" class="quick-link-card">
            <h3>MED-API</h3>
            <p>REST API reference for ingesting, querying, and managing wearable health data at scale.</p>
          </a>
          <a href="use-cases.html" class="quick-link-card">
            <h3>Use Cases</h3>
            <p>Two pilot studies showing MEDWEAR in clinical and robotics settings — offline and online data flows.</p>
          </a>
          <a href="contribute.html" class="quick-link-card">
            <h3>Contribute</h3>
            <p>Join the community and help shape open wearable data standards.</p>
          </a>
        </div>
      </section>

      <section>
        <h2>Recent Highlights</h2>
        <ul>
          <li>🤖 <a href="https://sites.google.com/ethz.ch/medrob2026/home" target="_blank" rel="noopener">BioRob 2026
              Workshop MED-ROB</a> - Medical Wearables for Robotics. 1st August, 2026 in Edmonton, Canada</li>
          <li>🏥 Symposium: "Toward the Next Standard for Medical Wearables in Switzerland. 6th May, 2025 @ ETH Zurich"
          </li>
          <li>📊 E-Survey with 31 participants from academia, clinics, and industry.</li>
          <li>🛠 GitHub repository containing new physiological signal data schemas.</li>
        </ul>
      </section>

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    <p>© 2026 ETH Zurich – MEDWEAR Project | Contact: diego.paez@scai.ethz.ch · monica.perezserrano@hest.ethz.ch</p>
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