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Wearable, long-term continuous heartmonitors helped identify 52% more cases of atrial fibrillation compared to usual care, but that did not lead to a reduction in hospitalizations due to stroke, according to a new study.
To diagnose heart conditions including heart attacks and heartrhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs) -- complex arrangements of electrodes and wires placed around the chest and limbs to detect the heart's electrical activity.
To diagnose heart conditions including heart attacks and heartrhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs)—complex arrangements of electrodes and wires placed around the chest and limbs to detect the heart's electrical activity.
Subclinical AF (SCAF), defined as AF discovered during the interrogation of prolonged heartmonitoring, is often asymptomatic and short-lasting, is associated with increased stroke risk compared with sinus rhythm, and may progress to clinical AF.
At this year’s HeartRhythm Society (HRS) conference in Boston in May, innovation, again, was the focus. AI can impact patient care quality and surgical outcomes in electrophysiology in several ways: Remote heartmonitoring solutions are getting dramatically better, and AI-powered home care is becoming a viable option.
What I mean is that just because I have a normally pumping heart and normal blood vessels, I am still not immune to developing a heartrhythm problem. In terms of diagnosing heartrhythm abnormalities, we can only accurately diagnose a problem if you catch it happening on ECG.
The heart is an electrical organ and occasionally the electrics can choose to malfunction and the patient may develop a heartrhythm disturbance or a dysrhythmia such as AF or SVT or VT. Unfortunately it is very difficult to predict a heartrhythm disturbance. You can only diagnose it in retrospect.
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