With the help of a new application, the Apple Watch achieved one failure

Researchers have created a new software that successfully monitors symptoms of left ventricular dysfunction using an Apple Watch. Getty Images / Sellwell According to a new study, an Apple Watch app may be effective in diagnosing left-ventricular dysfunction. Left ventricular dysfunction occurs when one cannot pump properly. The software used in the study compared to a 12 ECG-lead representative. Experts think this can allow a person to diagnose and monitor heart failure without an office visit. A Mayo Clinic study presented on May 1, 2022 at the Heart Rhythm 2022 conference in San Francisco, California, found that a new Apple Watch application using artificial intelligence (AI) to analyze data from a watch can useful in finding left-ventricular dysfunction

The source of left-ventricular dysfunctional depression is a type of heart failure in which one of the chambers of the heart, the left ventricle, becomes weak, leaving the heart unable to fully absorb blood throughout the body. It can be caused by chronic or high blood pressure of poor control or by damage to the heart muscle due to coronary heart disease. Apple Watch ECG performs similar to ECG-leading 12. Mayo Clinic patients who have an Apple Watch who want to download the Mayo Clinic iOS application are invited to participate in the trial. The Apple Watch was used for the study because the 4, 5, 6, and 7 clocks have a powerful sensor that detects electrical impulses indicating a heartbeat and its noise.

This data can be used to determine the presence of atrial fibrillation (irregular heart rate). In total, 2,454 people from 46 states and 11 countries participated. The average age of the training participants was 53 years and 56 percent of them were women. The application sends all pre-assembled electrocardiograms (ECGs) to the hospital for review. ECGs obtained within one month of a hospital echocardiogram were analyzed by AI for fractional ejection (ventricle volume) less than or equal to 40 percent using a highly developed model specifically for ECG-leading a piece. Participation is quite high, according to the study authors. During the study year, people were sent to 125,610 ECGs and 92 percent of them used the app several times.

The app detected at least one sinus rhythm (normal heart rhythm) in 421 patients within 30 days of an echocardiogram. Sixteen people have a minimum ejection fraction or equal to 40 percent, meaning their heart is not pumping well enough. Thirteen of these 16 were identified using the watch’s AI ECG. According to Dr. Annabelle Santos Volgman, Professor of Medicine and Advanced Physician at Rush Medical School and Rush University Medical Center, researchers found that the Apple Watch is as good as the 12 ECG-lead that your doctor can perform in soak. office. “For the detection of atrial fibrillation, it is very good,” he said, adding, “but it is not good for the detection of other problems such as heart attack or coronary heart disease.”

Dr. Wesley Milks, an orthopedic surgeon and Professor of Internal Medicine at The Ohio State University Wexner Medical Center, explains, -head 12, which is more detailed in terms of what conditions can be found. ” References for patient care. Volgman said he has been using the Apple Watch as part of patient care for several years now.

“Patients can be resuscitated when they are symptomatic with palpitations. I can assure them that it is not a panic when we do not see any arrhythmias, ”he explained. When problems appear, he says then you can move on to the next stage of assessing their risk and what to do about their symptoms.

Milk says it always uses Apple Watch data well. “For example,” Milks said, “I can ask them to record an ECG test when they have their symptoms or report their heart rate over time.” It is noteworthy that in addition to performing a single-lead ECG, the Apple Watch is able to monitor heart rate, respiratory satisfaction, step rates, stop frequency, calories consumed, and sleep patterns, all of which can be useful information in patient care. According to lead author Dr. Paul Friedman, we may now have to identify a weak heart in the list, stating that “it is surprising that AI changes the client’s ECG signal to this condition.”

He believes that in the future people will be able to screen for and monitor one’s failure in the comfort of their home simply by using an Apple Watch and an app. “This is an opportunity for greater access to treatment,” Friedman said, “and a significant reduction in the cost of some clinical trials and investigations…” It is worrying, however, that this study is still in its early stages. to be tested and certified before available for patients.

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