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AI model detects infant breathing cessation using video

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a machine learning model capable of detecting cessation of breathing in pre-term infants using non-contact video monitoring. The camera-only models achieved a balanced accuracy of 76.9%, demonstrating the feasibility of this approach. When combined with impedance pneumography, the hybrid model improved detection accuracy to 90.6%, surpassing either modality alone and indicating the value of video-derived respiratory information. AI

IMPACT This research demonstrates the potential for AI-powered video analysis to enhance critical infant monitoring, potentially improving patient outcomes and reducing reliance on contact-based sensors.

RANK_REASON The cluster contains an academic paper detailing a new machine learning model and its performance on a specific task.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

AI model detects infant breathing cessation using video

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The cluster contains an academic paper detailing a new machine learning model and its performance on a specific task.
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82 days old
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Dineo Serame, Lionel Tarassenko, Mauricio Villarroel ·

    Video-based detection of cessation of breathing in pre-term infants using machine learning

    arXiv:2607.05230v1 Announce Type: new Abstract: Pre-term infants are susceptible to potentially harmful apnoea-related cessations of breathing due to immature respiratory control. However, reliable respiratory monitoring in the neonatal intensive care unit (NICU) remains challeng…

  2. arXiv cs.LG TIER_1 English(EN) · Mauricio Villarroel ·

    Video-based detection of cessation of breathing in pre-term infants using machine learning

    Pre-term infants are susceptible to potentially harmful apnoea-related cessations of breathing due to immature respiratory control. However, reliable respiratory monitoring in the neonatal intensive care unit (NICU) remains challenging because motion artefacts, sensor displacemen…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Video-based detection of cessation of breathing in pre-term infants using machine learning

    Pre-term infants are susceptible to potentially harmful apnoea-related cessations of breathing due to immature respiratory control. However, reliable respiratory monitoring in the neonatal intensive care unit (NICU) remains challenging because motion artefacts, sensor displacemen…

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