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Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates

Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection CandidatesA cardiopulmonary exercise test (CPET) is essential for lung resection. However, performing a CPET can be challenging. This study aimed to develop a machine learning model to estimate maximal oxygen consumption (VO2max)

Validation of Wearable Digital Devices for Heart Rate Measurement During Exercise Test in Patients With Coronary Artery Disease

https://e-arm.org/journal/view.php?doi=10.5535/arm.23019 Published ARM 2023.06 Author Chul Kim, Jun Hyeong Song, Seung Hyoun Kim

Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic Segmentation

Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic SegmentationIn this study, we propose a semantic segmentation-based atrial fibrillation (AF) detection method that learns and classifies the morphological characteristics of fibrillation waves (F-waves). F-waves are symptoms accompanying AF. The proposed method has higher localization performance for the target shape than

Machine learning-based nutrient classification recommendation algorithm and nutrient suitability assessment questionnaire

Machine learning-based nutrient classification recommendation algorithm and nutrient suitability assessment questionnaireKSII Transactions on Internet and Information SystemsJaHyung Koo Published KSII TIIS 2023.01 Author JaHyung Koo, LanMi Hwang, HooHyun Kim, TaeHee Kim, JinHyang Kim, Heeseok Song

Arrhythmia and Heart Rate Variability during Long Interdialytic Periods in Patients on Maintenance Hemodialysis: Prospective Observational Cohort Study

Arrhythmia and Heart Rate Variability during Long Interdialytic Periods in Patients on Maintenance Hemodialysis: Prospective Observational Cohort StudySudden cardiac death among hemodialysis patients is related to the hemodialysis schedule. Mortality is highest within 12 h before and after the first hemodialysis sessions of a week. We investigated the association of

Comparison of adhesive single-lead ECG device and Holter test for atrial fibrillation monitoring

Comparison of adhesive single-lead ECG device and Holter test for atrial fibrillation monitoringAbstractBackground. There is insufficient validation of diagnostic benefits of extended monitoring with an adhesive single-lead ECG device compared to HoltOUP AcademicOxford Academic Published ESC Congress 2022.10 Author Soonil Kwon, So-Ryoung Lee, Eue-Keun Choi, Hyo-Jeong Ahn, H S

Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory

Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term MemoryDiagnosis and classification of arrhythmia, which is associated with abnormal electrical activities in the heart, are critical for clinical treatments. Previous studies focused on the diagnosis of atrial fibrillation, which is the most common arrhythmia in adults. The classification