6 research outputs found
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Neonates do not have the ability to either articulate pain or communicate it
non-verbally by pointing. The current clinical standard for assessing neonatal
pain is intermittent and highly subjective. This discontinuity and subjectivity
can lead to inconsistent assessment, and therefore, inadequate treatment. In
this paper, we propose a multi-channel deep learning framework for assessing
neonatal pain from videos. The proposed framework integrates information from
two pain indicators or channels, namely facial expression and body movement,
using convolutional neural network (CNN). It also integrates temporal
information using a recurrent neural network (LSTM). The experimental results
prove the efficiency and superiority of the proposed temporal and multi-channel
framework as compared to existing similar methods.Comment: Accepted to IEEE SMC 201