Mhajna Muhammad, Sadeh Boaz, Yagel Simcha, Sohn Christof, Schwartz Nadav, Warsof Steven, Zahar Yael, Reches Amit
Nuvo-Group, Ltd, Tel-Aviv, Israel.
Department of Obstetrics and Gynecology, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Front Bioeng Biotechnol. 2022 Jul 19;10:933612. doi: 10.3389/fbioe.2022.933612. eCollection 2022.
Uterine activity (UA) monitoring is an essential element of pregnancy management. The gold-standard intrauterine pressure catheter (IUPC) is invasive and requires ruptured membranes, while the standard-of-care, external tocodynamometry (TOCO)'s accuracy is hampered by obesity, maternal movements, and belt positioning. There is an urgent need to develop telehealth tools enabling patients to remotely access care. Here, we describe and demonstrate a novel algorithm enabling remote, non-invasive detection and monitoring of UA by analyzing the modulation of the maternal electrocardiographic and phonocardiographic signals. The algorithm was designed and implemented as part of a wireless, FDA-cleared device designed for remote pregnancy monitoring. Two separate prospective, comparative, open-label, multi-center studies were conducted to test this algorithm. In the intrapartum study, 41 laboring women were simultaneously monitored with IUPC and the remote pregnancy monitoring device. Ten patients were also monitored with TOCO. In the antepartum study, 147 pregnant women were simultaneously monitored with TOCO and the remote pregnancy monitoring device. In the intrapartum study, the remote pregnancy monitoring device and TOCO had sensitivities of 89.8 and 38.5%, respectively, and false discovery rates (FDRs) of 8.6 and 1.9%, respectively. In the antepartum study, a direct comparison of the remote pregnancy monitoring device to TOCO yielded a sensitivity of 94% and FDR of 31.1%. This high FDR is likely related to the low sensitivity of TOCO. UA monitoring via the new algorithm embedded in the remote pregnancy monitoring device is accurate and reliable and more precise than TOCO standard of care. Together with the previously reported remote fetal heart rate monitoring capabilities, this novel method for UA detection expands the remote pregnancy monitoring device's capabilities to include surveillance, such as non-stress tests, greatly benefiting women and providers seeking telehealth solutions for pregnancy care.
子宫活动(UA)监测是孕期管理的重要组成部分。金标准的宫内压力导管(IUPC)具有侵入性,且需要胎膜破裂,而作为护理标准的外部宫缩图(TOCO)的准确性会受到肥胖、母体运动和腰带位置的影响。迫切需要开发远程医疗工具,使患者能够远程获得护理。在此,我们描述并展示了一种新颖的算法,该算法通过分析母体心电图和心音图信号的调制来实现对UA的远程、非侵入性检测和监测。该算法是作为一款经美国食品药品监督管理局(FDA)批准的用于远程孕期监测的无线设备的一部分进行设计和实施的。我们进行了两项独立的前瞻性、对比性、开放标签、多中心研究来测试该算法。在产时研究中,41名临产妇女同时接受IUPC和远程孕期监测设备的监测。10名患者还接受了TOCO监测。在产前研究中,147名孕妇同时接受TOCO和远程孕期监测设备的监测。在产时研究中,远程孕期监测设备和TOCO的灵敏度分别为89.8%和38.5%,假发现率(FDR)分别为8.6%和1.9%。在产前研究中,将远程孕期监测设备与TOCO直接比较,灵敏度为94%,FDR为31.1%。这种高FDR可能与TOCO的低灵敏度有关。通过嵌入远程孕期监测设备中的新算法进行UA监测是准确可靠的,并且比TOCO护理标准更精确。连同先前报道的远程胎儿心率监测能力,这种用于UA检测的新方法扩展了远程孕期监测设备的功能,使其能够进行诸如无应激试验等监测,极大地造福了寻求远程医疗孕期护理解决方案的女性和医疗服务提供者。