activity
20222025
most citedAmplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

GPINN: Physics-informed Neural Network with Graph Embedding

Yuyang Miao, Haolin Li

This work proposes a Physics-informed Neural Network framework with Graph Embedding (GPINN) to perform PINN in graph, i.e. topological space instead of traditional Euclidean space,…

eess.SP2023★ 2 cited

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…