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    <title>ASTRO SCAN — Safety Technology</title>
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    <description>Consolidating and summarising safety technology and research through automated web trawling, powered by AI agents built with Claude.</description>
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    <lastBuildDate>Wed, 29 Jul 2026 16:10:09 GMT</lastBuildDate>
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      <title>Blood Pressure Estimation from PPG: A Comparative Study of Direct and ECG-Mediated Deep Learning Pipelines</title>
      <link>https://arxiv.org/abs/2607.23406v1</link>
      <guid isPermaLink="false">https://astroscan.sg/#2026-07-26-1146</guid>
      <category>Safety Technology</category>
      <pubDate>Sat, 25 Jul 2026 16:00:00 GMT</pubDate>
      <description>A research paper compares direct and ECG-mediated deep-learning methods for estimating blood pressure from photoplethysmography (PPG) signals captured by wearable sensors. The full paper is linked below.

Classifier (7.0): Direct PPG-based blood pressure monitoring is substantively relevant to wearable physiological monitoring systems that could support heat-strain and fatigue detection in field operations, though the paper does not address military or occupational safety applications directly.
Source: arXiv: heat strain and wearable monitoring</description>
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      <title>Good Practice Guide for quantifying uncertainties for machine learning models applied to photoplethysmography signals</title>
      <link>https://arxiv.org/abs/2607.19999v1</link>
      <guid isPermaLink="false">https://astroscan.sg/#2026-07-22-0478</guid>
      <category>Safety Technology</category>
      <pubDate>Tue, 21 Jul 2026 16:00:00 GMT</pubDate>
      <description>A research paper sets out good-practice methods for quantifying uncertainty in machine-learning models applied to photoplethysmography (PPG) signals, the optical signals used in wearable heart-rate and physiological monitors. The full paper is linked below.

Classifier (8.0): Substantive research guide on uncertainty quantification for PPG-based wearable models directly applicable to physiological monitoring systems for heat strain and fatigue detection in operational environments.
Source: arXiv: heat strain and wearable monitoring</description>
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    <item>
      <title>Wearable Patches Could Monitor Troops&apos; Health, Sense Danger</title>
      <link>https://www.nationaldefensemagazine.org/articles/2026/2/27/wearable-patches-could-monitor-troops-health-sense-danger</link>
      <guid isPermaLink="false">https://astroscan.sg/#2026-02-27-576f</guid>
      <category>Safety Technology</category>
      <pubDate>Thu, 26 Feb 2026 16:00:00 GMT</pubDate>
      <description>National Defense Magazine reports on adhesive LifeLens wearable patches that collect biometric data from service members and flag hazards including heat strain, blast overpressure linked to traumatic brain injury, chemical and biological agents, and radiation exposure. The full article is linked below.

Classifier (8.0): A defence-industry account of soldier-worn wearable patches now being fielded to monitor heat strain, blast overpressure, chemical and biological exposure, and vital signs is directly relevant to the equipment militaries use to enhance safety, though adoption for the Singapore Army context requires local validation.
Source: National Defense Magazine (NDIA)</description>
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    <item>
      <title>Delivering on our Commitments using Wearable Hazard Monitoring Technology</title>
      <link>https://www.army.mil/article/287239/delivering_on_our_commitments_using_wearable_hazard_monitoring_technology</link>
      <guid isPermaLink="false">https://astroscan.sg/#2025-07-22-2f1d</guid>
      <category>Safety Technology</category>
      <pubDate>Mon, 21 Jul 2025 16:00:00 GMT</pubDate>
      <description>The US Army (JPEO-CBRND) describes fielding the LifeLens wearable platform, which delivers real-time heart rate, respiration, and core temperature from the warfighter to command posts, and credits it with catching a rising-vitals heat case at the 2025 Best Ranger competition. The full article is linked below.

Classifier (7.0): An official US Army account of fielding a wearable platform that streams clinical-grade vital signs from soldiers to command posts, credited with catching a heat casualty during competition, shows concretely how militaries use wearables for safety, though applicability to Singapore Army procedures requires local validation.
Source: US Army (JPEO-CBRND)</description>
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      <title>Army&apos;s wearable sensors detect early signs of severe heat injuries (HIPS)</title>
      <link>https://taskandpurpose.com/news/wearable-army-prevent-heat-injuries/</link>
      <guid isPermaLink="false">https://astroscan.sg/#2024-07-17-1606</guid>
      <category>Safety Technology</category>
      <pubDate>Tue, 16 Jul 2024 16:00:00 GMT</pubDate>
      <description>Task and Purpose reports on the Army&apos;s Heat Injury Prevention System (HIPS), a wearable that learns a soldier&apos;s normal gait and, with estimated core temperature, flags early deviations that precede heat stroke before visible symptoms emerge. The full article is linked below.

Classifier (7.0): A wearable Army system that monitors gait and estimated core temperature to predict heat stroke before symptoms appear is highly relevant to safety in hot-weather training, which is central to Singapore Army operations, though local validation of thresholds and procedures is required.
Source: Task and Purpose</description>
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