Physiological Signal-Based Method for Measurement of Pain Intensity
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Jianda Han | Yang Su | Xingang Zhao | Yaqi Chu | Xingang Zhao | Jianda Han | Yaqi Chu | Yang Su
[1] Vladimir Vapnik,et al. Universal learning technology : Support vector machines , 2005 .
[2] Nicola Vanello,et al. Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals , 2008, Medical & Biological Engineering & Computing.
[3] Patrick Thiam,et al. Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels , 2016, IEEE Journal of Selected Topics in Signal Processing.
[4] Shahidan M. Abdullah,et al. An overview of principal component analysis , 2013 .
[5] K. Shankar,et al. An Empirical Approach for Objective Pain Measurement using Dermal and Cardiac Parameters , 2009 .
[6] L A Lamont,et al. Physiology of pain. , 2000, The Veterinary clinics of North America. Small animal practice.
[7] Gian Domenico Iannetti,et al. A novel approach to predict subjective pain perception from single-trial laser-evoked potentials , 2013, NeuroImage.
[8] Martin L. Griss,et al. Activity-Aware Mental Stress Detection Using Physiological Sensors , 2010, MobiCASE.
[9] Markus Kächele,et al. Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity , 2015, MCS.
[10] Herbert F. Jelinek,et al. ECG Biometric with Abnormal Cardiac Conditions in Remote Monitoring System , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[11] Augusto Caraceni,et al. Pain measurement tools and methods in clinical research in palliative care: recommendations of an Expert Working Group of the European Association of Palliative Care. , 2002, Journal of pain and symptom management.
[12] Tanzeem Choudhury,et al. Activity-aware ECG-based patient authentication for remote health monitoring , 2009, ICMI-MLMI '09.
[13] B. Appelhans,et al. Heart rate variability and pain: Associations of two interrelated homeostatic processes , 2008, Biological Psychology.
[14] R. Treede,et al. The Kyoto protocol of IASP Basic Pain Terminology , 2008, PAIN®.
[15] Chin-Teng Lin,et al. An Improved Polynomial Neural Network Classifier Using Real-Coded Genetic Algorithm , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[16] Kathleen Puntillo,et al. A review of objective pain measures for use with critical care adult patients unable to self-report. , 2008, The journal of pain : official journal of the American Pain Society.
[17] L. Storme,et al. Newborn Infant Pain Assessment Using Heart Rate Variability Analysis , 2010, The Clinical journal of pain.
[18] Byung Ro Moon,et al. Hybrid Genetic Algorithms for Feature Selection , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[19] H. Storm. Changes in skin conductance as a tool to monitor nociceptive stimulation and pain , 2008, Current opinion in anaesthesiology.
[20] Sridha Sridharan,et al. Automatically Detecting Pain in Video Through Facial Action Units , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[21] W. Art Chaovalitwongse,et al. Optimization Models for Feature Selection of Decomposed Nearest Neighbor , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[22] T. Shaw,et al. Use of a Behavioural Pain Scale to assess pain in ventilated, unconscious and/or sedated patients. , 2006, Intensive & critical care nursing.
[23] Maja Pantic,et al. Continuous Pain Intensity Estimation from Facial Expressions , 2012, ISVC.
[24] H. Storm,et al. Skin conductance as a measure of pain and stress in hospitalised infants. , 2006, Early human development.
[25] Nicolai Marquardt,et al. Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain , 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).
[26] C. Warfield,et al. The measurement of pain. , 1988, Hospital practice.
[27] A. Dassonneville,et al. PhysioDoloris: a monitoring device for Analgesia / Nociception balance evaluation using Heart Rate Variability analysis , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[28] Caroline Schnakers,et al. Pain assessment and management in disorders of consciousness , 2007, Current opinion in neurology.
[29] Adriano de Oliveira Andrade,et al. On the use of evoked potentials for quantification of pain , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[30] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[31] Janaina Mourão Miranda,et al. Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes , 2010, NeuroImage.
[32] Régis Logier,et al. Heart rate variability analysis as an index of emotion regulation processes: Interest of the Analgesia Nociception Index (ANI). , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[33] Subramanian Ramanathan,et al. Multitask Linear Discriminant Analysis for View Invariant Action Recognition , 2014, IEEE Transactions on Image Processing.
[34] Ayoub Al-Hamadi,et al. Automatic Pain Recognition from Video and Biomedical Signals , 2014, 2014 22nd International Conference on Pattern Recognition.
[35] M. Nitzan,et al. Photoplethysmographic measurement of changes in total and pulsatile tissue blood volume, following sympathetic blockade , 2001, Physiological measurement.
[36] R. Høifødt,et al. The effect of experimenter gender on autonomic and subjective responses to pain stimuli , 2007, PAIN.
[37] G. Cruccu,et al. EFNS guidelines on neuropathic pain assessment: revised 2009 , 2010, European journal of neurology.
[38] S. Mackey,et al. Towards a Physiology-Based Measure of Pain: Patterns of Human Brain Activity Distinguish Painful from Non-Painful Thermal Stimulation , 2011, PloS one.
[39] Eduardo García España. Terminology , 1973, Hybrid Nuclear Energy Systems.
[40] R. Hernández-Peón,et al. [Physiology of pain]. , 1960, Acta neurologica.
[41] A. Ramelet,et al. Pain indicators in brain-injured critical care adults: an integrative review. , 2012, Australian critical care : official journal of the Confederation of Australian Critical Care Nurses.
[42] P. Siddall,et al. Physiology of Pain , 2009 .
[43] R. Logier,et al. From pain to stress evaluation using Heart Rate Variability analysis: Development of an evaluation platform , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[44] N. Matsunaga,et al. Superficial pain model using ANNs and its application to robot control , 2005, Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics..
[45] Thomas B. Moeslund,et al. Pain recognition using spatiotemporal oriented energy of facial muscles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[46] Blair H. Smith,et al. NeuPSIG guidelines on neuropathic pain assessment , 2011, PAIN®.
[47] R. Treister,et al. Differentiating between heat pain intensities: The combined effect of multiple autonomic parameters , 2012, PAIN®.
[48] Dingguo Zhang,et al. Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features , 2016, Int. J. Neural Syst..
[49] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[50] Alon Sinai,et al. Pain assessment by continuous EEG: Association between subjective perception of tonic pain and peak frequency of alpha oscillations during stimulation and at rest , 2010, Brain Research.
[51] K. Herr,et al. Tools for assessment of pain in nonverbal older adults with dementia: a state-of-the-science review. , 2006, Journal of pain and symptom management.
[52] J. Stanik-Hutt,et al. Pain behaviors observed during six common procedures: Results from Thunder Project II* , 2004, Critical care medicine.