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“This is exactly the kind of investigation required to improve upon existing detection algorithms that will someday facilitate routine use in patient care,” said Becker. “An ability to detect AF in a large proportion of those with the heart rhythm abnormality is encouraging.”
The findings should not detract from well-conducted studies in otherwise healthy individuals of varied age in whom AF was accurately detected, he added. “Similarly, an automatic diagnosis algorithm for AF, pending optimization and validation in a large and diverse cohort, should be viewed as a communication tool between patients and healthcare providers.”
Patients at risk for developing AF could benefit from continuous monitoring using a smartwatch, said Becker.
“Pre-existing heart rhythm abnormalities must be taken into consideration. Optimal utilization of emerging technology to include wearables requires an understanding of performance and limitations. It is best undertaken in coordination with a healthcare provider.”
Lead photo/Onur Binay/Unsplash
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