Predicting Blood Pressure
Engineers at the University of California at San Diego have designed a wearable monitor that tracks sleep, exercise and blood pressure. And with that, they have made some surprising discoveries: “This study affirmed the importance of personalized data over generalized information. While many health databases add large amounts of patient data into one model, considering all patients together to make health suggestions, the personalized information in this study was more effective. For example, one subject’s blood pressure was most affected by the number of minutes they were sedentary throughout the day. Changing that one factor had a significant impact, lowering their average systolic blood pressure by 15.4 percent and their diastolic blood pressure by 14.2 percent in one week. For another subject, the time they went to bed was the most important factor in lowering their blood pressure based on their historical data. When this subject went to bed a total of 58 minutes earlier over the week prior, they experienced a 3.6 percent drop systolic blood pressure and 6.6 percent decrease in their average diastolic blood pressure from the previous week.” MORE OR SEE
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