22 citations · 26 across the 3 of their papers we have counts for
3 papers
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye +2
This paper presents the first application of spiking neural networks (SNNs) for the classification of chronic lower back pain (CLBP) using the EmoPain dataset. Our work has two mai…
L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
Jorge Ortigoso-Narro, Fernando Diaz-de-Maria, Mohammad Mahdi Dehshibi +1
Chronic Low Back Pain (CLBP) afflicts millions globally, significantly impacting individuals' well-being and imposing economic burdens on healthcare systems. While artificial intel…
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria +2
There is a growing body of studies on applying deep learning to biometrics analysis. Certain circumstances, however, could impair the objective measures and accuracy of the propose…