Publications by authors named "William H S Lai"
This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.
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- A study evaluated a new way to screen for atrial fibrillation (AF) using an iPhone camera to detect changes in skin color that signal heartbeats, without needing physical contact.* -
- Researchers measured photoplethysmographic signals from 217 hospitalized patients, comparing results with traditional ECG readings; the new method showed high sensitivity (95%) and specificity (96%) in identifying AF.* -
- The findings suggest that using the Cardiio Rhythm app for facial signal detection is a feasible and convenient option for AF screening, offering promising predictive values for accurate results.*