Abstract 4141811: Determining the Accuracy of Sleep and Activity Patterns in Patients Undergoing Long-Term Ambulatory ECG Monitoring

• Published in: Circulation (New York, N.Y.) Vol. 150; no. Suppl_1; p. A4141811
• Main Authors: Bogan, Richard, Yu, Elaine, Mysliwiec, Vincent, Miller, Mitchell, Kacorri, Ardit, Tamura, Yuriko, Battisti, Anthony, Fokin, Vladimir, Hytopoulos, Evangelos, Gilbert, Andrew, Bame, Charlotte, Turakhia, Mintu
• Format: Journal Article
• Language: English
• Published: Hagerstown, MD Lippincott Williams & Wilkins 12.11.2024
• Subjects: Electrocardiography; Wellness; Cardiology; Artificial Intelligence; Sleep Pattern

Background: Ambulatory ECG (AECG) enables heart rhythm monitoring during daily activities, with a focus on arrythmia detection. Detection and quantification of sleep and activity patterns during monitoring may provide insights into lifestyle and aid in contextualizing arrhythmia events. Aims: We dev...