Fibrillation (AFIb) has been confirmed in nearly 94 percent of people diagnosed with early-onset heart disease through smartwatch applications and medical follow-up, in a study presented at the College American Cardiology 71st Annual Scientific Session.
The study, which included more than 2.8 million participants, is the largest study to date to demonstrate how consumer technology can be used to assess heart problems during daily activities. The researchers also used the app to assess participants’ proportions for sleep deprivation and found that people who were marked for the possibility of open sleep were 1.5 times more likely to have AFib than those who did not. This suggests that appropriate tools to identify the two conditions may work together to further improve health monitoring.
“Digital technology allows to raise awareness about AFib and its dangers and improve AFib prevention and its complications, “said Yutao Guo, MD, professor of internal medicine at China’s PLA School of Medicine, and PLA General Hospital in Beijing, and lead researcher. , especially in the challenging environment of COVID-19, the current research provides a viable solution to help people detect potential AFib symptoms and detect the disease and treat it later. “
AFib is the most common type of heart attack, with symptoms including rapid or abnormal heartbeat along with cases of light, chest pain and shortness of breath. People with AFib are more than five times more likely to have a stroke compared to the general population because an abnormal heartbeat can cause blood to clot and clot. Of course, this risk can be lowered along with early diagnosis and medicine.
The study, conducted in China, included data from smart devices with clinical data to check the accuracy of AFib displays using photoplethysmography, a light source method for monitoring blood flow used in many wearable devices. Researchers have monitored more than 2.8 million people who downloaded the AFib test protocol on a compatible Huawei device (the most popular electronic model in China). The smart device uses photoplethysmography to monitor the wearer’s heart rate and the app uses an algorithm to detect when the heart rate is low. If severe dementia is detected, the doctor will consult the wearer to set an appointment for a clinical evaluation.
Over a four-year period (2018-2021), 12,244 users received a notice of alleged AFib. Of the 5,227 people who chose to follow up with a doctor, AFib was confirmed in 93.8% of patients using standard AFib diagnostic tools including clinical evaluation, electrocardiogram and 24-hour Holter monitoring, where someone install the device to track heart activity as they travel. about their daily activities including sleep.
Photoplethysmography can also be used to detect physiological changes that occur when a person has a disturbed sleep pattern, a condition that disrupts breathing during sleep. Previous studies have shown that almost half of people with AFib also have sleep disorders. In this study, 961,931 of the app users tested for AFib and were tested for sleep symptoms. Of these, nearly 18,000 were reported to have the condition. The results also showed a higher proportion of AFib seizures within this group, with a 1.5-fold higher chance of getting AFib detection among those marked for sleep apnea compared with those who did not.
“This consumer-led AFib screening system highlights the increased risk of detecting AFib events over time and the need for repair. obstructive sleep apnea and other risk factors that promote AFib proliferation, ”says Guo. and evaluate related behaviors and concerns. this is a digital health tool. “
While the study uses Huawei devices, the most widely used devices in the United States such as the Apple Watch or FitBit have similar photoplethysmography technology that can be used to measure human speed and detect objects which are not good.
One study limitation was that only 53.3% of those who received notification of suspected AFib had properly followed a physician for further evaluation. Researchers have been unable to determine whether other people have confirmed AFib at the hospital or why they did not follow up on the assessment.
Yutao Guo et al, Consumer Guide Study for Physical Therapy: Report from MAFA-II Long Term Examination Test, 71st Annual American College of Sciences, April 3, 2022
American College of Cardiology
hint: Smartwatch app found to detect normal fibrillation (2022, April 4) Retrieved April 4, 2022 from https://medicalxpress.com/news/2022-04-smartwatch-app-accurately-atrial-fibrillation.html
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