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MONDAY, Aug. 31, 2020 (HealthDay News) — For patients with acute coronary syndrome, a smartwatch app can detect normal electrocardiography (ECG) and ST-segment and non-ST-segment elevations, with accuracy comparable to that of a standard ECG, according to a study published online Aug. 31 in JAMA Cardiology<\/i> to coincide with the European Society of Cardiology Congress 2020: The Digital Experience, held virtually from Aug. 29 to Sept. 1.<\/p>\n
Carmen Anna Maria Spaccarotella, M.D., from Magna Graecia University in Catanzaro, Italy, and colleagues examined the feasibility and accuracy of a smartwatch app for recording multiple ECG leads and detecting ST-segment changes associated with acute coronary syndromes. Multiple-channel ECGs were obtained in 100 participants using a commercially available smartwatch. Nine bipolar ECG tracings were obtained by placing the watch in different body positions and compared to a simultaneous standard 12-lead ECG.<\/p>\n
The researchers found that for identification of a normal ECG, ST-segment elevation changes, and non-ST-segment elevation changes, there was agreement between the smartwatch and standard ECG (Cohen \u03ba coefficients, 0.90 [95 percent confidence interval (CI), 0.78 to 1.00], 0.88 [95 percent CI, 0.78 to 0.97], and 0.85 [95 percent CI, 0.74 to 0.96], respectively). Agreement was demonstrated between the smartwatch and standard ECG to detect the amplitude of ST-segment changes in the Bland-Altman analysis. The smartwatch showed sensitivity and specificity of 84 and 100 percent, respectively, for diagnosis of normal ECG; 93 and 95 percent, respectively, for ST elevation; and 94 and 92 percent, respectively, for non-ST elevation ECG alterations.<\/p>\n
“This agreement may allow the potential for earlier diagnosis of acute coronary syndromes using smartwatch technology,” the authors write.<\/p>\n
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