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Physiological Measurement|February 25, 2022
Inter-patient arrhythmia identification method with RR-intervals and convolutional neural networksWenliang Zhu, Gang Ma, Lesong Zheng, et al.
Physiological Measurement|March 7, 2022
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGsZ Zhao, D Murphy, H Gifford, et al.
Physiological Measurement|August 10, 2018
Differences in nonlinear heart dynamics during rest and exercise and for different trainingManuel Gómez-Extremera, Pedro A Bernaola-Galván, Salvador Vargas, et al.
Physiological Measurement|September 6, 2018
Adaptive template matching of photoplethysmogram pulses to detect motion artefactPooi Khoon Lim, Siew-Cheok Ng, Nigel H Lovell, et al.
Physiological Measurement|September 6, 2018
Changes in f-wave characteristics during cryoballoon catheter ablationMikael Henriksson, Arcadi García-Alberola, Rebeca Goya, et al.
Physiological Measurement|September 6, 2018
Characterization and reduction of exercise-based motion influence on heart rate variability using accelerator signals and channel decoding in the time-frequency domainIman Alikhani, Kai Noponen, Arto Hautala, et al.
Physiological Measurement|September 6, 2018
Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoostYao Chen, Xiao Wang, Yonghan Jung, et al.
Physiological Measurement|May 24, 2018
A low-complexity algorithm for detection of atrial fibrillation using an ECGNadi Sadr, Madhuka Jayawardhana, Thuy T Pham, et al.
Physiological Measurement|July 26, 2018
Sleep-wake classification via quantifying heart rate variability by convolutional neural networkJohn Malik, Yu-Lun Lo, Hau-Tieng Wu
Physiological Measurement|July 27, 2018
Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severityDiego R Mazzotti, Diane C Lim, Kate Sutherland, et al.
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