{"ID":2876542,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.10489","arxiv_id":"2509.10489","title":"Development of AI-integrated infrastructure with biomedical device and mobile app for neonatal vital monitoring during and in between kangaroo care sessions","abstract":"Premature infant mortality remains a critical challenge in low- and middle-income countries (LMICs), with continuous vital sign monitoring being essential for early detection of life-threatening conditions. This paper presents an integrated system combining NeoWarm, a novel biomedical device, with NeoRoo, a mobile application, and NeoSmartML, a machine learning infrastructure, to enable comprehensive vital sign monitoring during Kangaroo Mother Care (KMC). Our power-optimized device achieves 6-6.5 days of continuous operation on a single charge, while the mobile application implements an offline-first architecture with efficient data synchronization. The optical character recognition pipeline demonstrates promising accuracy (F1 scores 0.78-0.875) for automated vital sign extraction from existing NICU monitors. Experimental validation shows the system's feasibility for deployment in resource-constrained settings, though further optimization of heart rate and temperature detection, along with the risk classification foundation model is needed.","short_abstract":"Premature infant mortality remains a critical challenge in low- and middle-income countries (LMICs), with continuous vital sign monitoring being essential for early detection of life-threatening conditions. This paper presents an integrated system combining NeoWarm, a novel biomedical device, with NeoRoo, a mobile appl...","url_abs":"https://arxiv.org/abs/2509.10489","url_pdf":"https://arxiv.org/pdf/2509.10489v1","authors":"[\"Saptarshi Purkayastha\",\"Hrishikesh Bhagwat\",\"Keerthika Sunchu\",\"Orlando Hoilett\",\"Eddy Odari\",\"Reuben Thuo\",\"Martin Wafula\",\"Celia Kariuki\",\"Sherri Bucher\"]","published":"2025-08-30T18:59:08Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"eess.SY\"]","methods":"[]","has_code":false}