SBIR Phase II: Advanced in-home technologies for infant thermoneutrality

这一第二阶段项目的更广泛的影响/商业潜力将是增强和教育照料者做出科学指导的决定，使婴儿能够更安全和最佳地养育睡眠环境。每年有超过1.3亿名婴儿出生，其中超过400万名出生在美国。由于婴儿猝死综合症(SID)，每月有300名婴儿可能活不到一岁生日。小岛屿发展中国家仍然是1个月至1岁婴儿死亡的主要原因。美国的婴儿死亡率高于最富裕的20个国家。Innogalized Technologies开发了一种变革性的物联网技术(IoT)，该技术结合了硬件和分析，使护理人员能够做出更好的睡眠时间决定，避免过热，这是SID的已知压力源。这项技术指导照顾者随时随地为他们的婴儿提供安全、再生和发育的最佳条件，同时缓解焦虑。这项技术有望立即在快速增长的10亿美元的美国婴儿监测解决方案市场中占据相当大的份额。这个小型企业创新研究(SBIR)第二阶段项目将支持开发一种新型消费产品，与照顾者合作，主动降低新生儿过热/过热的风险。睡衣选择从热力学上与环境条件相匹配，以创造婴儿特有的安全睡眠环境。通过利用物联网平台的固有连接来保持温度。该技术集成了热阻测量、热模型和地图、高级算法和预测性监控。该项目的研究目标是解决推动产品成功商业化和采用的最重要的剩余技术挑战，该产品本质上是一种智能系统，能够在预测需求的同时理解背景并跟踪和管理复杂的互动。这项研究的技术产品将提高照顾者的知识，增加对导致有利的热中性状态的应用热力学的理解，并增加婴儿的健康。该奖项反映了NSF的法定使命，并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Phase II project will be to empower and educate caregivers to make scientifically guided decisions that enable safer and optimally nurturing sleep environments for infants. Every year more than 130 million babies are born and over 4 million of those are born in the U.S. Due to Sudden Infant Death Syndrome (SIDS), 300 babies every month may not live to see their first birthday. SIDS remains the leading cause of death for babies aged one month to one year. Infant mortality rates in the U.S. are higher than in the 20 wealthiest nations. Innogized Technologies has developed a transformative Internet of Things technology (IoT) that combines hardware and analytics to enable caregivers to make better sleep-time decisions, avoiding overheating, a known stressor for SIDS. The technology guides caregivers to deliver optimal conditions for safe, regenerative and developmental growth for their infants anywhere and anytime, while at the same time relieving anxiety. This technology is poised to immediately capture a sizable portion of the rapidly growing $1 billion US baby monitoring solutions market.This Small Business Innovation Research (SBIR) Phase II project will support the development of a novel consumer product that works with caregivers to proactively mitigate the risk of under/overheating events in newborns. Sleep-time clothing choices are thermodynamically matched with environmental conditions to create baby-specific safe sleep environments. The temperatures are maintained by leveraging the inherent connectivity of the IoT platform. The technology integrates thermal resistance measurements, thermal models and maps, advanced algorithms, and predictive monitoring. The research objectives of the project tackle the most important remaining technical challenges driving towards successful commercialization and adoption of a product that is essentially an intelligent system, capable of understanding context and tracking and managing complex interactions while anticipating requirements. The technical product of this research will advance caregiver knowledge and increase understanding of the applied thermodynamics leading to the advantageous state of thermoneutrality as well as increase infant wellbeing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.