Samenvatting

Cumulative discomfort of preterm infants can lead to abnormal development. An automated video-based discomfort detection system is proposed by analyzing motion patterns. We employ optical flow to estimate body motion across video-frames. Log Mel-spectrogram, Mel Frequency Cepstral Coefficients, and Spectral Subband Centroid Frequency features are calculated from 1D motion signals. These features enable 1D motion signals to be represented by 2D time-frequency images. Finally, deep CNNs are used on the 2D images for comfort/discomfort classification. The model was evaluated using leave-one-infant-out cross-validation on 183 video segments recorded during 17 heel prick events. Experimental results showed an AUC value of 0.985.
Originele taal-2Engels
TitelSPIE Medical Imaging
UitgeverijSPIE
Aantal pagina's8
Volume11314
DOI's
StatusGepubliceerd - 2020
Evenement2020 SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling - Houston, Verenigde Staten van Amerika
Duur: 16 feb 202019 feb 2020

Congres

Congres2020 SPIE Medical Imaging
LandVerenigde Staten van Amerika
StadHouston
Periode16/02/2019/02/20

    Vingerafdruk

Bibliografische nota

Conference 11314

Citeer dit