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Undersea & Hyperbaric Medicine : Journal of the Undersea and Hyperbaric Medical Society, Inc|December 28, 2017
Effects of prolonged and repeated immersions on heart rate variability and complexity in military diversNathaniel T Berry, Laurie Wideman, Christopher K Rhea, et al.
Chest|February 23, 2021
Comparative Effectiveness of Heart Rate Control Medications for the Treatment of Sepsis-Associated Atrial FibrillationNicholas A Bosch, Justin M Rucci, Joseph M Massaro, et al.
Anesthesia and Analgesia|May 1, 2012
Using time-frequency analysis of the photoplethysmographic waveform to detect the withdrawal of 900 mL of bloodChristopher G Scully, Nandakumar Selvaraj, Frederick W Romberg, et al.
IEEE Journal of Biomedical and Health Informatics|January 24, 2017
A Robust Motion Artifact Detection Algorithm for Accurate Detection of Heart Rates From Photoplethysmographic Signals Using Time-Frequency Spectral FeaturesDuy Dao, S M A Salehizadeh, Yeonsik Noh, et al.
Cardiovascular Digital Health Journal|March 10, 2022
Feasibility of atrial fibrillation detection from a novel wearable armband deviceSyed Khairul Bashar, Md-Billal Hossain, Jesús Lázaro, et al.
JMIR Cardio|February 13, 2023
A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design StudyDong Han, Eric Y Ding, Chaeho Cho, et al.
Journal of Cardiovascular Electrophysiology|September 23, 2015
PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone ApplicationDavid D McMANUS, Jo Woon Chong, Apurv Soni, et al.
Biosensors|February 24, 2022
A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac ArrhythmiaDong Han, Syed Khairul Bashar, Jesús Lázaro, et al.
Cardiovascular Digital Health Journal|August 21, 2023
Anxiety, patient activation, and quality of life among stroke survivors prescribed smartwatches for atrial fibrillation monitoringTenes J Paul, Khanh-Van Tran, Jordy Mehawej, et al.
IEEE Transactions on Bio-Medical Engineering|September 8, 2023
Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training SchemeFahimeh Mohagheghian, Dong Han, Om Ghetia, et al.
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