A new study showed that weak heart pumps can be detected in patients using the Apple Watch ECG data submitted remotely. By pairing ECG data from Apple Watch with an AI algorithm, researchers managed to analyze them securely and effectively.
Apple Watch Can Detect a Weak Heart Pump
The Apple Watch, aside from detecting atrial fibrillation, can also detect weak heart pumps, also known as left ventricular dysfunction. This heart issue can affect two to three percent of people globally. It is also common among nine percent of people over the age of 60. Weak heart pumps, like atrial fibrillation, can show no symptoms or can be accompanied by racing heartbeat, leg swelling or difficulty in breathing.
Weak Heart Pump Detected Using Apple Watch ECG and AI
Mayo Clinic published its findings on a study it conducted among 2,454 patients. The patients all had iPhones and Apple Watch models with ECG functionality. During the six-month study period, participants submitted a total of 125,610 ECG readings. Participants submitted data remotely coming from 46 states and 11 countries during the study.
In the course of the research, the collected ECG data passed through an algorithm that used a 12-lead ECG machine. Although the Apple Watch provided ECG data with only one lead, the Mayo Clinic researchers managed to adapt the algorithm for single-lead use. The researchers created an adaptation technique that translated the single-lead readings into signals that the algorithm could understand.
According to the Mayo Clinic, when paired with the algorithm, ECG data derived from the Apple Watch can identify a weak heart pump rate. Its ability was as good, if not better, than using a medical treadmill test. For 420 of the patients, the Apple Watch recorded data within 30 days of a clinically ordered ECG.
Mayo Clinic’s Dr. Paul Friedman, chair of the Department of Cardiovascular Medicine, said that the study was the first step that showed medically useful information can be derived from a single-lead watch.
“Our next steps include global prospective studies to test this prospectively in more diverse populations and demonstrate medical benefit. This is what the transformation of medicine looks like: inexpensively diagnosing serious disease from your sofa,” said Dr. Friedman.