Dec 24, 2020 · In this study we propose the use of functional near-infrared spectroscopy (fNIRS) and deep learning for the assessment of human pain.
In this study we propose the use of functional near-infrared spectroscopy (fNIRS) and deep learning for the assessment of human pain.
Jun 12, 2021 · Results: The results showed that the deep learning models exhibited favourable results in the identification of different types of pain in our ...
This study proposes the use of functional near-infrared spectroscopy (fNIRS) and deep learning for the assessment of human pain and shows that the Bi-LSTM ...
Dec 27, 2020 · Abstract—Assessing pain in patients unable to speak (also called non-verbal patients) is extremely complicated and often is.
Dec 24, 2020 · The results showed that wavelet-based features produced the highest accuracy (\(88.33\%\)) to distinguish between heat and cold pain while ...
Feb 14, 2024 · In this study, we aim to expand previous studies by exploring the use of deep learning models Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) ...
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This systematic review aims to discuss the models, the methods, and the types of data employed in establishing the foundation of a deep learning-based ...
Nov 16, 2023 · Pain. Assessment based on fNIRS using Bi-LSTM RNNs. Paper presented at the 2021 10th. International IEEE/EMBS Conference on Neural Engineering ...