@INPROCEEDINGS{7591456, 
author={S. Nemati and M. M. Ghassemi and V. Ambai and N. Isakadze and O. Levantsevych and A. Shah and G. D. Clifford}, 
booktitle={2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}, 
title={Monitoring and detecting atrial fibrillation using wearable technology}, 
year={2016}, 
pages={3394-3397}, 
keywords={accelerometers;diseases;electrocardiography;feature extraction;learning (artificial intelligence);medical signal detection;patient monitoring;photoplethysmography;Samsung Simband;ambulatory Holter electrocardiographic monitor;ambulatory wrist-based pulse monitoring devices;area under the receiver operating curve;atrial fibrillation detection;atrial fibrillation monitoring;beat-to-beat interval variations;electrocardiogram;feature extraction;large scale screening;morphological properties;movement data;multiwavelength PPG;noise-resistant machine learning approach;photoplethysmogram;pulsatile waveform;pulse-based AFib screening algorithm;rhythmic properties;single channel ECG;triaxial accelerometry;watch-based wearable device;wearable technology;Biomedical monitoring;Electrocardiography;Feature extraction;Hospitals;Monitoring;Sensitivity;Standards}, 
doi={10.1109/EMBC.2016.7591456}, 
month={Aug},}