New Delhi, 13 September (IANS). A simple worn tool like smartwatch or fitness tracker can help revolutionize pregnancy care and easily detect any discrepancy.
Scientists of Scripps Research have claimed this. According to whom they have received initial evidence, they suggest that the common verable devices such as Apple Watch, Garmin and Fitbit are capable of monitoring pregnancy -related changes by tracking physical patterns related to hormonal fluctuations – such as heart rate.
“The wearable device (wearable tool) is a great innovative solution in Scripts Research and assistant professor at Digital Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medical Medal. It is a great innovative solution.
“Our results suggest that the signal from the wearable sensors reads the expected changes in the hormone levels well and can detect the specific pattern of pregnancy, which makes it possible to monitor maternal health during pregnancy and postpartum periods.”
For the study, the team selected 108 pregnant women, who agreed to provide data from three months before pregnancy to six months after delivery. By using sophisticated statistical methods to identify population-level patterns, the team could calculate individual differences and equipment variations.
From this data, scientists were able to identify the physiological patterns that were associated with the fluctuations of major pregnancy hormones such as estrogen, progesterone and human chorionic gonadotropin (HCG). The fluctuations of these hormones can cause problems during pregnancy.
Heart rate figures were particularly attractive. In the early stages of pregnancy, researchers found that the woman’s heart rate decreased around five to nine weeks, then increased continuously for about eight or nine weeks before delivery, and reached 9.4 beats per minute from the pre -pregnancy level.
After birth, the heart rate fell below the baseline level before it stabilized about six months. Researchers also monitored the pattern of sleep and activity during pregnancy.
To prove this correlation, the team compared the wearable sensor patterns with the hormone-tier data published with previous pregnancy studies and detailed models that predicted a change in heart rate based on the expected hormonal fluctuations during pregnancy. Although these conclusions are currently in the initial stage, it shows that wearable devices can potentially improve pre-economic care.
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