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Backgroud: With the widespread application of artificial intelligence, sensor technology, and wearable technology in clinical and daily life, wearable devices have shown a promising application prospect and tremendous potential. Currently, both domestic and international clinical applications of wearable ECG devices for the diagnosis and treatment of coronary heart disease are mostly single-lead ECG wearable devices or simulated multi-lead wearable ECG monitoring devices, which are widely used in the diagnosis of arrhythmias such as atrial fibrillation. There is a lack of clinical diagnostic efficacy research on myocardial ischemia in coronary heart disease.
Aim: To investigate the diagnostic efficacy of wearable multi-channel ECG acquisition devices for myocardial ischemia in suspected CHD patients Methods:Assessing the sensitivity, specificity, and accuracy of wearable multi-channel ECG devices in diagnosing myocardial ischemia in coronary heart disease by comparing with the "gold standard" SPECT-MPI.The target recruitment is 107 suspected coronary heart disease myocardial ischemia patients.If patients do not meet the exclusion criteria, they will wear the wearable multi-channel ECG device for 7 days after enrollment, followed by a myocardial SPECT examination; there is no specific order for these examinations. After enrollment, baseline information of the patients (such as age, gender, height, weight, etc.), comorbidities (such as hypertension, diabetes, hyperlipidemia, chronic kidney disease, etc.), and auxiliary examination data (such as complete blood count, biochemistry, cardiac injury markers, BNP, echocardiography, wearable multi-channel ECG device data, SPECT-related examination data, such as ST-segment, total load score, total rest score, etc.) will be collected. The endpoint of this study is to evaluate the sensitivity, specificity, and accuracy of the wearable multi-channel ECG device in assessing myocardial ischemia in CHD.
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To be eligible to participate in this study, a participant must meet all of the following criteria:
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If a patient meets any of the following conditions, they will be excluded:
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Zhongxiu Chen MD
Data sourced from clinicaltrials.gov
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