94 citations · 125 across the 12 of their papers we have counts for
6 papers · 1 filter
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
Edoardo Occhipinti, Marek Zylinski, Harry J. Davies +5
The cardiac dipole has been shown to propagate to the ears, now a common site for consumer wearable electronics, enabling the recording of electrocardiogram (ECG) signals. However,…
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…
In-Ear SpO2 for Classification of Cognitive Workload
Harry J. Davies, Ian Williams, Ghena Hammour +3
Classification of cognitive workload promises immense benefit in diverse areas ranging from driver safety to augmenting human capability through closed loop brain computer interfac…
In-Ear Measurement of Blood Oxygen Saturation: An Ambulatory Tool Needed To Detect The Delayed Life-Threatening Hypoxaemia in COVID-19
Harry J. Davies, Ian Williams, Nicholas S. Peters +1
Non-invasive ambulatory estimation of blood oxygen saturation has emerged as an important clinical requirement to detect hypoxemia in the delayed post-infective phase of COVID-19,…