Diagnosis of chronic musculoskeletal pain by using functional near-infrared spectroscopy and machine learning
… potential of fNIRS-based machine learning in detecting and … conducted using fNIRS and
machine learning methods to … predictive or prognostic biomarker for the identification of the CP …
machine learning methods to … predictive or prognostic biomarker for the identification of the CP …
Pain assessment based on fnirs using bi-lstm rnns
RF Rojas, J Romero… - 2021 10th International …, 2021 - ieeexplore.ieee.org
… deep learning for the assessment of human pain. The aim of this study is to explore the use
deep learning to automatically learn features from fNIRS … biomarker of human pain using fnirs…
deep learning to automatically learn features from fNIRS … biomarker of human pain using fnirs…
Pain assessment based on fNIRS using bidirectional LSTMs
RF Rojas, J Romero, J Lopez-Aparicio… - arXiv preprint arXiv …, 2020 - arxiv.org
… deep learning for the assessment of human pain. The aim of this study is to explore the use
deep learning to automatically learn features from fNIRS … biomarker of human pain using fnirs…
deep learning to automatically learn features from fNIRS … biomarker of human pain using fnirs…
NIRS measures in pain and analgesia: fundamentals, features, and function
… Having a functional biomarker will add to the clinical fidelity, diagnosis, and … approaches
have been deployed in pain biomarker discovery, functional near-infrared spectroscopy (fNIRS) …
have been deployed in pain biomarker discovery, functional near-infrared spectroscopy (fNIRS) …
Empirical comparison of deep learning models for fNIRS pain decoding
R Fernandez Rojas, C Joseph… - Frontiers in …, 2024 - frontiersin.org
… explores the use of deep learning for the objective assessment of pain using fNIRS data. In
… using fNIRS data and we collected fNIRS from a small number of participants (n = 18); while …
… using fNIRS data and we collected fNIRS from a small number of participants (n = 18); while …
Possibility of Assessing Pain with Biomarkers in Psychiatric Disorders
P Jakubow, U Kosciuczuk, A Garkowski… - 2021 - preprints.org
… near- infrared spectroscopy (fNIRS), and are aimed at identifying images of markers of …
Machine learning methods that generate emotional pain signatures/biomarkers that have their …
Machine learning methods that generate emotional pain signatures/biomarkers that have their …
Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating ΔHBO2 and ΔHHB Measures for Comprehensive Analysis
… pain via the analysis of fNIRS signals combined with machine learning, utilising multiple
fNIRS … to the pursuit of an objective pain assessment and proposes a potential biomarker for …
fNIRS … to the pursuit of an objective pain assessment and proposes a potential biomarker for …
Explainable fNIRS Based Pain Decoding Under Pharmacological Conditions via Deep Transfer Learning Approach
… to propose a transfer learning (TL) based deep learning (DL) … neural processing of painful
and non-painful stimuli that were … for deriving robust pain biomarkers from both fNIRS or fMRI …
and non-painful stimuli that were … for deriving robust pain biomarkers from both fNIRS or fMRI …
Classifying major depressive disorder using fNIRS during motor rehabilitation
… machine learning algorithms to fNIRS data, we identified … Teasell, “Are comorbid pain and
depressive symptoms associated … machine learning approach to identify functional biomarkers …
depressive symptoms associated … machine learning approach to identify functional biomarkers …
[HTML][HTML] Neuroimaging assessment of pain
J Luo, HQ Zhu, B Gou, XQ Wang - Neurotherapeutics, 2022 - Elsevier
… identifying brain-based biomarkers of pain through advances in advanced imaging can provide
some foundations for predicting and detecting pain… evaluating pain, such as using fNIRS …
some foundations for predicting and detecting pain… evaluating pain, such as using fNIRS …