Cay Gozde, Solanki Dhaval, Al Rumon Md Abdullah, Ravichandran Vignesh, Fapohunda Kofoworola Omotolani, Mankodiya Kunal
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA.
iScience. 2024 Jun 13;27(7):110223. doi: 10.1016/j.isci.2024.110223. eCollection 2024 Jul 19.
We introduce SolunumWear, a multi-sensory e-textile system designed for respiration in daily life settings, addressing the gap in continuous, real-world respiration event monitoring. Leveraging a textile pressure sensor belt to capture chest movements and a wireless data acquisition system, SolunumWear offers a promising solution for both medical and wellness applications. The system's efficacy was evaluated through a human study involving 10 healthy adults (six female and four male) across various breathing rates and postures, demonstrating a strong correlation (R value = 0.836) with the gold-standard system. The study highlights the system's computational and communication efficiencies, with latencies of approximately 4.84 s and 2.13 ms, respectively. These findings highlight the efficacy of SolunumWear as a wireless, wearable technology for respiration monitoring in daily settings. This research contributes to the expanding body of knowledge on smart textile-based health monitoring technologies, demonstrating its potential to provide reliable respiratory data in real-world environments.
我们推出了SolunumWear,这是一种专为日常生活中的呼吸设计的多感官电子纺织系统,填补了连续、真实世界呼吸事件监测方面的空白。借助纺织压力传感器带捕捉胸部运动以及无线数据采集系统,SolunumWear为医疗和健康应用提供了一个很有前景的解决方案。通过一项涉及10名健康成年人(6名女性和4名男性)的人体研究,在各种呼吸频率和姿势下对该系统的功效进行了评估,结果表明它与金标准系统具有很强的相关性(R值 = 0.836)。该研究突出了该系统的计算和通信效率,延迟分别约为4.84秒和2.13毫秒。这些发现突出了SolunumWear作为一种用于日常环境中呼吸监测的无线可穿戴技术的功效。这项研究为基于智能纺织品的健康监测技术不断扩展的知识体系做出了贡献,证明了其在现实环境中提供可靠呼吸数据的潜力。