ArticleIEEE journal of translational engineering in health and medicine2026
Evaluation of a Wrist-Worn Device for ECG-Based Detection of Acute Myocardial Infarction.
Article in IEEE journal of translational engineering in health and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo determine whether a two-lead ECG (wECG), acquired using a self-applicable, wrist-worn device, provides diagnostic value in acute myocardial infarction (AMI) detection.
methodsSeventy-one patients with AMI, 26 with other cardiovascular diseases (CVDs), and 54 healthy controls were enrolled in the study. To acquire lead I, one electrode of the wrist-worn device was touched with the index finger of the opposite hand, while another lead was acquired by touching the electrode on the strap to a specific part of the body. The diagnostic value of the wECG is evaluated either directly or through synthesis of the standard 12-lead ECG using an echo state network.
resultsUsing the standard ECG, an AMI detector based on a convolutional neural network yields a sensitivity of 0.86 and a specificity of 0.71; the corresponding figures for blinded cardiologist diagnosis are 0.77/0.88. Using the synthesized ECG, the V3 electrode touch site yields the best performance, with a sensitivity/specificity of 0.84/0.71 for AMI detection and 0.67/0.86 for cardiologist diagnosis. Compared to the synthesized ECG across all touch sites, use of the wECG results in a substantially lower sensitivity, reduced by 0.12-0.13, while the specificity is comparable or slightly higher. Implementation of a two-stage approach, consisting of detector-based screening followed by cardiologist review of positive cases, results in correct decisions in 63% of the AMI cases using either the synthesized ECG or the wECG.
conclusionThe two-lead ECG acquired with a wrist-worn device offers diagnostic value and enables screening for AMI.
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