94 citations · 125 across the 12 of their papers we have counts for
4 papers · 1 filter
A Deep Matched Filter For R-Peak Detection in Ear-ECG
Harry J. Davies, Ghena Hammour, Marek Zylinski +2
The Ear-ECG provides a continuous Lead I electrocardiogram (ECG) by measuring the potential difference related to heart activity using electrodes that can be embedded within earpho…
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
Yuyang Miao, Harry J. Davies, Danilo P. Mandic
Photoplethysmography (PPG) refers to the measurement of variations in blood volume using light and is a feature of most wearable devices. The PPG signals provide insight into the b…
Hearables: Ear EEG Based Driver Fatigue Detection
Metin C. Yarici, Pierluigi Amadori, Harry Davies +4
Ear EEG based driver fatigue monitoring systems have the potential to provide a seamless, efficient, and feasibly deployable alternative to existing scalp EEG based systems, which…
Hearables: Feasibility of Recording Cardiac Rhythms from Single Ear Locations
Metin Yarici, Wilhelm Von Rosenberg, Ghena Hammour +5
Wearable technologies are envisaged to provide critical support to future healthcare systems. Hearables - devices worn in the ear - are of particular interest due to their ability…