The report, drawn from Cardiogram's DeepHeart research project in collaboration with the University of California, San Francisco, detected 462 patients with diabetes using Apple Watch's heart rate sensor from 14,000 participants in the study Cardiogram developed an artificial intelligence algorithm to study heart rate And the relationship between the symptoms of diabetes.The research system developed by this experiment also integrates the Android health bracelet device using the same sensor.
The experiment began with a study in 2015. The Framingham Heart Study published a study in which heart rate and heart rate variability analysis predicts diabetes and high blood pressure, allowing researchers to begin using Apple Watch's heart rate sensor to see if it accurately predicts diabetes.
Cardiogram has been able to detect arrhythmia symptoms with the Apple Watch recently, with an accuracy rate of 97%. Cardiogram also studied sleep apnea tests with the University of California, San Francisco, at a 90% accuracy rate Will be published this week at the American Association for Artificial Intelligence.
Apple itself also studied using the Apple Watch to monitor blood glucose. Last May it was reported that Apple is currently developing an optical sensor that uses light to irradiate the skin to detect blood glucose levels and has been working with some of the San Francisco Bay Area clinical trials Base to conduct relevant experiments.
Since 2014, Apple has entered the diabetes related fields, using the HealthKit medical platform to collect blood glucose data of diabetic patients, opening up third-party developers to assist in the development of related applications and in 2016 released their own applications to help patients record blood glucose data One Drop.
However, in the field of blood glucose monitoring, there are no effective non-invasive monitoring methods that can replace blood tests.