New device could identify which babies will struggle with breastfeeding
Doctors traditionally use a finger to gauge how well a baby suckles, but researchers at UC San Diego have come up with a new way to more precisely measure just how well each child gets the job done.
Led by engineer James Friend, a team in the university’s Medically Advanced Devices Laboratory rigged up a “non-nutritive suckling system” by connecting a digital vacuum sensor to an ordinary disposable pacifier, allowing for 60 seconds of real-time continuous measurement.
“We establish normative data for the mean suck vacuum, maximum suck vacuum, suckling frequency, burst duration, sucks per burst, and vacuum signal shape,” the authors said, noting that sophisticated statistical analysis and even machine learning, a fundamental method of what many call artificial intelligence, was brought to bear to sift patterns from the analysis of 91 babies measured with the device.
Some might wonder, what’s the point? Why so much focus on measuring and analyzing the most basic of human reflexes?