most citedInterference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

13 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP20241 cited

Non-invasive Diver Respiration Rate Monitoring in Hyperbaric Lifeboat Environments using Short-Range Radar

Mikolaj Czerkawski, Fraser Stewart, Christos Ilioudis +8

The monitoring of diver health during emergency events is crucial to ensuring the safety of personnel. A non-invasive system continuously providing a measure of the respiration rat…

eess.SP20244 cited

On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals

Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3

The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs. It is shown that t…

eess.SP20244 cited

A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications

Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3

Deep learning techniques are subject to increasing adoption for a wide range of micro-Doppler applications, where predictions need to be made based on time-frequency signal represe…

cs.CV202413 cited

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3

The treatment of interfering motion contributions remains one of the key challenges in the domain of radar-based vital sign monitoring. Removal of the interference to extract the v…

cs.CV20249 cited

Robustness of Deep Neural Networks for Micro-Doppler Radar Classification

Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1

With the great capabilities of deep classifiers for radar data processing come the risks of learning dataset-specific features that do not generalize well. In this work, the robust…