E2cnn: An efficient concatenated cnn for classification of surface emg extracted from upper limb
Surface electromyography is a bioelectrical indicator that emerges during muscle
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
[PDF][PDF] EEG-based neonatal sleep stage classification using ensemble learning
Sleep stage classification can provide important information regarding neonatal brain
development and maturation. Visual annotation, using polysomnography (PSG), is …
development and maturation. Visual annotation, using polysomnography (PSG), is …
EEG-based neonatal sleep-wake classification using multilayer perceptron neural network
Objective: Classification of sleep-wake states using multichannel electroencephalography
(EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) …
(EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) …
A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video
Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake
pattern, which functions as an essential indicator of neurophysiological organization in the …
pattern, which functions as an essential indicator of neurophysiological organization in the …
NICUface: Robust neonatal face detection in complex NICU scenes
The development of non-contact patient monitoring applications for the neonatal intensive
care unit (NICU) is an active research area, particularly in facial video analysis. Recent …
care unit (NICU) is an active research area, particularly in facial video analysis. Recent …
A convolutional neural network-based decision support system for neonatal quiet sleep detection
Sleep plays an important role in neonatal brain and physical development, making its
detection and characterization important for assessing early-stage development. In this …
detection and characterization important for assessing early-stage development. In this …
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
Objective In this paper, we propose to evaluate the use of pre-trained convolutional neural
networks (CNNs) as a features extractor followed by the Principal Component Analysis …
networks (CNNs) as a features extractor followed by the Principal Component Analysis …
Sensor fusion for the robust detection of facial regions of neonates using neural networks
J Gleichauf, L Hennemann, FB Fahlbusch, O Hofmann… - Sensors, 2023 - mdpi.com
The monitoring of vital signs and increasing patient comfort are cornerstones of modern
neonatal intensive care. Commonly used monitoring methods are based on skin contact …
neonatal intensive care. Commonly used monitoring methods are based on skin contact …
[PDF][PDF] A Study of Patient's Pain Assessment Based on Facial Expression: Issues and Challenges
Pain is an unavoidable experience that a person must go through at some stage of his/her
life. The most broadly agreeable definition of pain refers to an unpleasant sensory and …
life. The most broadly agreeable definition of pain refers to an unpleasant sensory and …
Robust neonatal face detection in real-world clinical settings
Current face detection algorithms are extremely generalized and can obtain decent
accuracy when detecting the adult faces. These approaches are insufficient when handling …
accuracy when detecting the adult faces. These approaches are insufficient when handling …