[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 …

[HTML][HTML] Multimodal physiological sensing for the assessment of acute pain

R Fernandez Rojas, N Hirachan, N Brown… - Frontiers in Pain …, 2023 - frontiersin.org
Pain assessment is a challenging task encountered by clinicians. In clinical settings,
patients' self-report is considered the gold standard in pain assessment. However, patients …

[HTML][HTML] Automatic detection of pain using machine learning

BD Winslow, R Kwasinski, K Whirlow, E Mills… - Frontiers in pain …, 2022 - frontiersin.org
Pain is one of the most common symptoms reported by individuals presenting to hospitals
and clinics and is associated with significant disability and economic impacts; however, the …

[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review

S Gkikas, M Tsiknakis - Computer methods and programs in biomedicine, 2023 - Elsevier
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …

[HTML][HTML] A comprehensive study on pain assessment from multimodal sensor data

M Benavent-Lledo, D Mulero-Pérez, D Ortiz-Perez… - Sensors, 2023 - mdpi.com
Pain assessment is a critical aspect of healthcare, influencing timely interventions and
patient well-being. Traditional pain evaluation methods often rely on subjective patient …

[HTML][HTML] Empirical comparison of deep learning models for fNIRS pain decoding

R Fernandez Rojas, C Joseph… - Frontiers in …, 2024 - frontiersin.org
Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …

[HTML][HTML] Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective

P Thiam, H Hihn, DA Braun, HA Kestler… - Frontiers in …, 2021 - frontiersin.org
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …

A review on the ongoing quest for a pain signature in the human brain

Q Su, Y Song, R Zhao, M Liang - Brain Science Advances, 2019 - journals.sagepub.com
Developing an objective biomarker for pain assessment is crucial for understanding neural
coding mechanisms of pain in the human brain as well as for effective treatment of pain …

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 …

Pain assessment

A Lazaridou, N Elbaridi, RR Edwards… - Essentials of pain …, 2018 - Elsevier
Pain is an internal, subjective experience that cannot be measured by the use of physiologic
markers or bioassays. The assessment of pain, therefore, relies largely (often exclusively) on …