Stanford study finds Apple Watch can accurately assess ‘frailty’ using activity data – 9to5Mac

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Stanford University has published the outcomes of a brand new Apple Watch and iPhone study targeted on useful mobility of heart problems sufferers. The data means that iPhone and Apple Watch can accurately asses “frailty,” each in-clinic and at dwelling.

As first noticed by MyHealthyApple, the study was funded by Apple and consisted of 110 Veterans Affairs sufferers using an iPhone 7 and Apple Watch Series 3. The data was collected by means of a study app, VascTrac, in addition to passively collected Activity data.

The study used the six-minute strolling take a look at rating, or 6MWT. This was added in watchOS 7 and described as a “golden standard to evaluate the functional mobility of a patient.” The 6MWT is a typical measure of frailty within the well being trade. Higher scores on the 6MWT are indicative of “healthier cardiac, respiratory, circulatory, and neuromuscular function,” in line with Apple.

In the study, sufferers performed common at-dwelling six-minute strolling exams, then in contrast these outcomes to their in-clinic efficiency for a similar take a look at.

Weekly at-dwelling 6MWTs have been carried out by way of the VascTrac app. The app passively collected activity data equivalent to day by day step counts. Logistic regression with ahead characteristic choice was used to assess at-dwelling 6MWT and passive data as predictors for “frailty” as measured by the gold-normal supervised 6MWT. Frailty was outlined as strolling <300m on an in-clinic 6MWT.

The study discovered that an Apple Watch can accurately assess frailty with a sensitivity of 90% and specificity of 85% in a scientific setting. In an unsupervised setting, the Apple Watch can accurately asses frailty with an 83% sensitivity and 60% specificity.

The study subsequently attracts the conclusion that the iPhone and Apple Watch can function an correct predictor of frailty based mostly on 6MWT efficiency. The study conclusion explains:

In this longitudinal observational study, passive activity data acquired by an iPhone and Apple Watch have been an correct predictor of in-clinic 6MWT efficiency. This discovering means that frailty and useful capability might be monitored and evaluated remotely in sufferers with heart problems, enabling safer and better decision monitoring of sufferers.

You can discover the full study results right here.

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Ariel Shapiro
Ariel Shapiro
Uncovering the latest of tech and business.

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