Automated nociceptive pain assessment using physiological signals and a hybrid deep learning network

SD Subramaniam, B Dass - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Postoperative pain management has become a major medical and nursing challenge.
Nowadays, hospitals have taken initiatives to measure acute pain using self-report …

[HTML][HTML] A systematic review of neurophysiological sensing for the assessment of acute pain

R Fernandez Rojas, N Brown, G Waddington… - NPJ Digital …, 2023 - nature.com
Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …

Definition of pain and classification of pain disorders

KH Kumar, P Elavarasi - Journal of Advanced Clinical and …, 2016 - search.proquest.com
Pain of any origin comprises an individual's life. The prevention and management of pain is
an important aspect of health care. Psychological factors play a key role in both onset and …

A classification algorithm to predict chronic pain using both regression and machine learning–A stepwise approach

PF Tsai, CH Wang, Y Zhou, J Ren, A Jones… - Applied Nursing …, 2021 - Elsevier
This secondary data analysis study aimed to (1) investigate the use of two sense-based
parameters (movement and sleep hours) as predictors of chronic pain when controlling for …

Classification of patients with pain based on neuropathic pain symptoms: Comparison of an artificial neural network against an established scoring system

M Behrman, R Linder, AH Assadi, BR Stacey… - European Journal of …, 2007 - Elsevier
Wider use of pain assessment tools that are specifically designed for certain types of pain–
such as neuropathic pain–contribute an increasing amount of information which in turn …

Primer on machine learning: utilization of large data set analyses to individualize pain management

P Rashidi, DA Edwards, PJ Tighe - Current Opinion in …, 2019 - journals.lww.com
Primer on machine learning: utilization of large data set an... : Current Opinion in Anesthesiology
Primer on machine learning: utilization of large data set analyses to individualize pain …

[HTML][HTML] Chronic pain diagnosis using machine learning, questionnaires, and QST: a sensitivity experiment

AN Santana, CN de Santana, P Montoya - Diagnostics, 2020 - mdpi.com
In the last decade, machine learning has been widely used in different fields, especially
because of its capacity to work with complex data. With the support of machine learning …

Classification of pain

RA Duarte, CE Argoff - Pain Management Secrets: Pain …, 2017 - books.google.com
1. List the bases for the most widely used classifications of pain. Pain is a subjective
experience that does not lend itself to the usual classifications for a variety of reasons. For …

Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study

MA Shraim, KA Sluka, M Sterling, L Arendt-Nielsen… - Pain, 2022 - journals.lww.com
Classification of musculoskeletal pain based on underlying pain mechanisms (nociceptive,
neuropathic, and nociplastic pain) is challenging. In the absence of a gold standard …

[HTML][HTML] Comparison of feature extraction methods for physiological signals for heat-based pain recognition

P Gouverneur, F Li, WM Adamczyk, TM Szikszay… - Sensors, 2021 - mdpi.com
While even the most common definition of pain is under debate, pain assessment has
remained the same for decades. But the paramount importance of precise pain management …