This approach reduces the amount of computation required to process the data and extract the fetal heartbeats. The device uses this temporal pattern to better distinguish between true and false heartbeats, thereby focusing its computational power more on the heartbeats themselves, rather than the cardiac activity between heartbeats. The system works by exploiting the fact that a heartbeat has a steady rhythm. “Lullaby was made to push the boundaries of the field by creating an algorithm that could process high-resolution ECG in real time and on a wearable device,” explains Daniel Jilani, an undergraduate researcher at University of California, Irvine, who co-led the development of this technology. The new Lullaby algorithm addresses this issue. However, a major challenge with this type of tech is that continuous ECG monitoring involves a lot of data to process, which has made real-time monitoring with wearable devices challenging. The device also includes a microcontroller that processes the signals and sends them via Bluetooth to a smartphone or watch. The wearable device involves a patch that’s placed on the abdomen of a pregnant user in addition to electrodes that monitor the electrocardiogram (ECG) signals from the fetus. The new algorithm, dubbed Lullaby, is described in a study published on 19 August in IEEE Sensors Letters. In the search for a simpler approach, researchers have developed a novel system that includes a wearable device, a smartphone, and an algorithm that could offer at-home monitoring of a fetus’s cardiac health. Currently, the most common method for monitoring the heartbeat of a fetus is through an ultrasound test-which requires not only a visit to a doctor’s office but also the expertise of a trained technician. This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.Īlthough a pregnancy is an exciting time for expecting parents, it can involve many trips to a doctor’s office to monitor the health of the fetus.
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