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A Deep Matched Filter For R-Peak Detection in Ear-ECG
Through its operation as a Matched Filter, the encoder searches for matches with an ECG template pattern in the input signal, prior to filtering the matches with the subsequent convolutional layers and selecting peaks corresponding to true ECG matches.
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
Photoplethysmography (PPG) refers to the measurement of variations in blood volume using light and is a feature of most wearable devices.
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach
Our model aims to encode all of the relevant respiratory information contained within photoplethysmography waveform, and decode it into a waveform that is similar to a gold standard respiratory reference.
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data
Overall, the proposed apparatus provides us with a simple, effective and physically meaningful way to generate faithful surrogate breathing disorder waveforms, a prerequisite for the use of artificial intelligence in respiratory health.
In-Ear SpO2 for Classification of Cognitive Workload
Classification of cognitive workload promises immense benefit in diverse areas ranging from driver safety to augmenting human capability through closed loop brain computer interface.
In-Ear Measurement of Blood Oxygen Saturation: An Ambulatory Tool Needed To Detect The Delayed Life-Threatening Hypoxaemia in COVID-19
In this study, we set out to establish the feasibility of SpO2 measurement from the ear canal as a convenient site for long term monitoring, and perform a comprehensive comparison with the right index finger - the conventional clinical measurement site.
