2023 |
Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study sensors |
RF |
BCP, ECG, EDA, EMG, Resp |
ChronPain, PainMonit |
2023 |
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition sensors |
RF, MLP, CNN, CAE, CL, Transformer |
EDA |
BioVid, PainMonit |
2023 |
Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals arxiv |
Transformer Encoder+Temporal Conv+SEResNet; Code: github |
EDA |
BioVid |
2022 |
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal sensors |
BiLSTM + XGBoost |
EDA |
Proprietary Dataset: Cold Pain Data |
2022 |
Tree-Based Models for Pain Detection from Biomedical Signals ICOST 2022 |
AdaBoost, XGBoost, TabNet, Random Forest (RF) |
EDA,ECG |
BioVid |
2021 |
Classification of Heat-Induced Pain Using Physiological Signals ITIB 2021 |
RF, MLP, CNN |
BVP, ECG, EDA, EMG, Resp |
Heat-pain data |
2021 |
Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective Frontiers in Physiology |
Self-supervised Learning, Auto-Encoder |
EMG + ECG + EDA |
BioVid; SenseEmotion |
2021 |
Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network IEEE Sensors Journal |
CNN + LSTM |
EDA, ECG |
BioVid; Proprietary Dataset: Real-time Data |
2021 |
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition sensors |
RF, MLP, CNN, LSTM, CAE |
EDA |
BioVid, PainMonit |
2021 |
Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study JMIR |
ADABoost, XGBoost, random forest, SVM, KNN |
ECG |
BioVid as baseline; UCI_iHurtDB |
2021 |
Exploration of physiological sensors, features, and machine learning models for pain intensity estimation PLOS ONE |
SVM |
EDA |
BioVid |
2021 |
Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method EMBC |
ADABoost, XGBoost, random forest, SVM, KNN |
PPG |
UCI_iHurtDB |
2021 |
Machine learning suggests sleep as a core factor in chronic pain Pain |
CART, PART, RF |
Mul-Sources Parametes |
Proprietary Dataset: chronic pain, Finland |
2021 |
Assessment of thoracic pain using machine learning: a case study from Baja California, Mexico Environmental Research and Public Health |
Tree classification, RF, SVM, Logistic regression, kNN |
AMI and FRCV Six Factors |
Proprietary Dataset: Thoracic Pain |
2021 |
Prediction of breakthrough pain during labour neuraxial analgesia: comparison of machine learning and multivariable regression approaches Obstetric Anesthesia |
RF, XGBoost, Logistic Regression |
Medical Record |
Proprietary Dataset: breakthrough pain during labour, Singapore |
2020 |
Hybrid RNN-ANN Based Deep Physiological Network for Pain Recognition EMBC 2020 |
BiLSTM |
EDA, ECG, EMG |
BioVid |
2020 |
Pain phenotypes classified by machine learning using electroencephalography features NeuroImage |
SVM |
EEG, VAS |
Proprietary Dataset: Chronic lumbar pain |
2020 |
Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain Pain |
CART, kNN, MLP, SVM, Naive Bayes |
Multi-sources Parameters |
Proprietary Dataset: Rheumatoid arthritis |
2020 |
Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG Neurocomputing |
CNN |
EEG |
Proprietary Dataset: Cold Pain Data |
2020 |
Using a motion sensor to categorize nonspecific low back pain patients: a machine learning approach sensors |
SVM, MLP |
Trunk kinematic data |
Propritary Dataset: Nonspecific low back pain |
2020 |
Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning International Journal of Medical Informatics |
RF, Linear Regression, Elastic Net, Ridge Regression, Gradient Boosting, Neural Net |
Questionnaires before and after surgery |
Prospective Cohort Study, Neuropathic pain |
2020 |
Interpretable machine learning models for classifying low back pain status using functional physiological variables European Spine Journal |
Functional Data Boosting (FDboost) |
EMG |
Proprietary Dataset: Low Back Pain |
2020 |
Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG Neurocomputing |
CNN |
EEG |
Proprietary Dataset: Cold Pain Data |
2020 |
Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network Medical & Biological Engineering & Computing |
Bayes |
Clinical Records |
Proprietary Dataset: Low back pain |
2019 |
Feature extraction and selection for pain recognition using peripheral physiological signals Frontiers in Neuroscience |
SVM |
EMG, SCL, ECG |
BioVid |
2019 |
Predicting inadequate postoperative pain management in depressed patients: a machine learning approach Plos ONE |
Elastic Net, NLP (NegEx) |
65 predictive features from EHR |
Proprietary Dataset: EHR |
2019 |
Exploring Deep Physiological Models for Nociceptive Pain Recognition sensors |
CNN |
EDA, ECG |
BioVid |
2019 |
A Deep Neural Network-Based Pain Classifier Using a Photoplethysmography Signal sensors |
Deep Belief Network, MLP, SVM |
PPG |
Proprietary Dataset: Pre-/Post-operation of Surgery |
2019 |
Acute pain intensity monitoring with the classification of multiple physiological parameters Journal of Clinical Monitoring and Computing |
MLP |
HR, BR, GSR, EMG |
Proprietary Dataset: Heat and Electrical Stimuli |
2019 |
Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics Pain |
SVM |
Neuroimages |
Proprietary Dataset: Chronic Low Back Pain |
2019 |
Exploring Deep Physiological Models for Nociceptive Pain Recognition sensors |
CNN |
EDA, ECG |
BioVid |
2019 |
Acute pain intensity monitoring with the classification of multiple physiological parameters Journal of Clinical Monitoring and Computing |
MLP |
HR, Breath Rate, GSR, EMG |
Proprietary Dataset, HR, BR, GSR, Facial |
2019 |
A joint deep neural network model for pain recognition from face ICCCS 2019 |
RNN+VGGFace CNN |
Facial Images |
UNBC-McMaster Shoulder Pain |
2018 |
Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities FG 2018 |
CNN+LSTM |
RGBDT (RGB, Depth, Thermal) |
Multimodal Intensity Pain (MIntPAIN) |
2018 |
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks EMBCC 2018 |
LSTM-NN |
EDA, HR |
BioVid |
2018 |
Deep learning model for detection of pain intensity from facial expression ICOST 2018 |
BiLSTM-CNN-VSL-CRF |
Facial Expressions |
- |
2018 |
Improving pain management in patients with sickle cell disease from physiological measures using machine learning techniques Smart Health |
RF, kNN, SVM, Multinomial logistic regression |
Peripheral capillary oxygen saturation, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, temperature |
Proprietary Dataset: SCD patients, Duke Hospital |
2017 |
Prediction effects of personal, psychosocial, and occupational risk factors on low back pain severity using artificial neural networks approach in industrial workers Manipulative and Physiological Therapeutics |
MLP, kNN, Logistic Regression |
BVP, ECG, SCL |
Proprietary Dataset: Low back pain |
2017 |
Multi-task neural networks for personalized pain recognition from physiological signals ACIIW 2017 |
MLP |
EDA, ECG |
BioVid |
2017 |
Physiological Signal-Based Method for Measurement of Pain Intensity Front Neurosci. |
KNN, SVM, LDA |
BVP, ECG, SCL |
Proprietary Dataset: Electrical stimulation |
2017 |
Multi-task neural networks for personalized pain recognition from physiological signals ACIIW 2017 |
MLP |
EDA, ECG |
BioVid |
2015 |
Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity EANN 2015 |
Random Forest |
EDA, ECG, EMG, Videos |
BioVid |
2014 |
Automatic Pain Recognition from Video and Biomedical Signals International Conference on Pattern Recognition |
Random Forest |
EDA, ECG, EMG, Videos |
BioVid |