相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study
Dong Han et al.
JMIR Cardio (2023)
Cardiodiagnostics Based on Photoplethysmographic Signals
Galya Georgieva-Tsaneva et al.
DIAGNOSTICS (2022)
A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia
Dong Han et al.
BIOSENSORS-BASEL (2022)
Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection
Fahimeh Mohagheghian et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)
Global epidemiology of atrial fibrillation: An increasing epidemic and public health challenge
Giuseppe Lippi et al.
INTERNATIONAL JOURNAL OF STROKE (2021)
Smartwatch monitoring for atrial fibrillation after stroke-The Pulsewatch Study: Protocol for a multiphase randomized controlled trial
Emily L. Dickson et al.
CARDIOVASCULAR DIGITAL HEALTH JOURNAL (2021)
Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch
Dong Han et al.
SENSORS (2020)
Assessment of a standalone photoplethysmography (PPG) algorithm for detection of atrial fibrillation on wristband-derived data
J. L. Seldera et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Multi-task deep learning for cardiac rhythm detection in wearable devices
Jessica Torres-Soto et al.
NPJ DIGITAL MEDICINE (2020)
Photoplethysmography based atrial fibrillation detection: a review
Tania Pereira et al.
NPJ DIGITAL MEDICINE (2020)
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study
Soonil Kwon et al.
JMIR MHEALTH AND UHEALTH (2019)
Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches
Syed Khairul Bashar et al.
SCIENTIFIC REPORTS (2019)
Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data
Linda M. Eerikainen et al.
IEEE Journal of Biomedical and Health Informatics (2019)
Smartwatch PPG Peak Detection Method for Sinus Rhythm and Cardiac Arrhythmia
Dong Han et al.
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (2019)
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning
Yichen Shen et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification
Yongbo Liang et al.
BIOSENSORS-BASEL (2018)
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
Heung-Il Suk et al.
BRAIN STRUCTURE & FUNCTION (2015)
Adjusted F-measure and kernel scaling for imbalanced data learning
Antonio Maratea et al.
INFORMATION SCIENCES (2014)
Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the US Adult Population
Susan Colilla et al.
AMERICAN JOURNAL OF CARDIOLOGY (2013)
Prolonged Rhythm Monitoring for the Detection of Occult Paroxysmal Atrial Fibrillation in Ischemic Stroke of Unknown Cause
Raymond C. S. Seet et al.
CIRCULATION (2011)
分享论文
