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Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures
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Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures (2024)Multimodal automatic assessment of acute …Using AI to Detect Pain through Facial Expressions: A Review (2023)Using AI to Detect Pain throu…Automatic assessment of pain based on deep learning methods: A systematic review (2023)Automatic assessment of pain …A systematic review of neurophysiological sensing for the assessment of acute pain (2023)A systematic review of neurop…Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study (2021)Pain Assessment Tool With Ele…Exploring Deep Physiological Models for Nociceptive Pain Recognition (2019)Exploring Deep Physiological …Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Automatic Recognition Methods…AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)AffectNet: A Database for Fac…Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels (2016)Methods for Person-Centered C…Automatic Pain Assessment with Facial Activity Descriptors (2016)Automatic Pain Assessment wit…Automatic Pain Recognition from Video and Biomedical Signals (2014)Automatic Pain Recognition fr…Automatic coding of facial expressions displayed during posed and genuine pain (2009)Automatic detection of pain intensity (2012)The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system (2013)Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines (2015)Automatic Detection of Pain from Facial Expressions: A Survey (2020)Approximate entropy as a measure of system complexity. (1991)Measuring complexity using FuzzyEn, ApEn, and SampEn (2008)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Adaptive confidence learning for the personalization of pain intensity estimation systems (2016)Physiological Signal-Based Method for Measurement of Pain Intensity (2017)Facial Expression Analysis (2005)Can Duchenne smiles be feigned? New evidence on felt and false smiles. (2009)Facial Expression Recognition with Identity and Emotion Joint Learning (2018)A Coefficient of Agreement for Nominal Scales (1960)Intraclass correlations: Uses in assessing rater reliability. (1979)A circumplex model of affect. (1980)Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Deep Facial Expression Recognition: A Survey (2020)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Facial Action Coding System (1978)Handbook of pain assessment (1994)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Exploration of physiological sensors, features, and machine learning models for pain intensity estimation (2021)Artificial intelligence to evaluate postoperative pain based on facial expression recognition (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network (2020)Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective (2021)cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing (2015)Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor (2021)Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity (2023)Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review (2023)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii (2003)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The AI4Pain Grand Challenge 2024: Advancing Pain Assessment with Multimodal fNIRS and Facial Video Analysis (2024)Base Rates of Malingering and Symptom Exeggeration (2002)Facial expression of pain: An evolutionary account (2002)
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References

  • 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild2,335 cited
  • 2019Automatic Recognition Methods Supporting Pain Assessment: A Survey242 cited
  • 2014Automatic Pain Recognition from Video and Biomedical Signals169 cited
  • 2016Automatic Pain Assessment with Facial Activity Descriptors166 cited
  • 2023Automatic assessment of pain based on deep learning methods: A systematic review124 cited
  • 2019Exploring Deep Physiological Models for Nociceptive Pain Recognition94 cited
  • 2016Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels93 cited
  • 2023A systematic review of neurophysiological sensing for the assessment of acute pain88 cited
  • 2021Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study75 cited
  • 2023Using AI to Detect Pain through Facial Expressions: A Review56 cited

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