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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
Classification of musculoskeletal pain based on underlying pain mechanisms (nociceptive,
neuropathic, and nociplastic pain) is challenging. In the absence of a gold standard …
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
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 …
remained the same for decades. But the paramount importance of precise pain management …