Yukkee Cheung Poh

Arrhythmias and sudden death Original research article Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms Ming-Zher Poh1, Yukkee Cheung Poh1, Pak-Hei Chan2, Chun-Ka Wong2, Louise Pun3, Wangie Wan-Chiu Leung3, Yu-Fai Wong3, Michelle Man-Ying Wong3, Daniel Wai-Sing Chu3, Chung-Wah Siu2 1 Cardiio, Cambridge, Massachusetts, USA 2 Division of Cardiology, Department of Medicine, University of Hong Kong, Hong Kong 3 Department of Family Medicine and...

Methods We trained a deep convolutional neural network (DCNN) to detect AF in 17 s PPG waveforms using a training data set of 149 048 PPG waveforms constructed from several publicly available PPG databases. The DCNN was validated using an independent test data set of 3039 smartphone-acquired PPG waveforms from adults at high risk of AF at a general outpatient clinic against ECG tracings reviewed by two cardiologists.

Implantable microdevices often have static components rather than moving parts and exhibit limited biocompatibility. This paper demonstrates a fast manufacturing method that can produce features in biocompatible materials down to tens of micrometers in scale, with intricate and composite patterns in each layer.