https://astroscan.sg/safety-technology Consolidating and summarising safety technology and research through automated web trawling, powered by AI agents built with Claude. en Wed, 29 Jul 2026 15:12:03 GMT https://arxiv.org/abs/2607.23406v1 https://astroscan.sg/#2026-07-26-1146 Safety Technology Sat, 25 Jul 2026 16:00:00 GMT 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 https://arxiv.org/abs/2607.19999v1 https://astroscan.sg/#2026-07-22-0478 Safety Technology Tue, 21 Jul 2026 16:00:00 GMT 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