Multimodal fusion for objective assessment of cognitive workload: A review

E Debie, RF Rojas, J Fidock, M Barlow… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Considerable progress has been made in improving the estimation accuracy of cognitive
workload using various sensor technologies. However, the overall performance of different …

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 …

Sensor technologies to manage the physiological traits of chronic pain: a review

D Naranjo-Hernández, J Reina-Tosina, LM Roa - Sensors, 2020 - mdpi.com
Non-oncologic chronic pain is a common high-morbidity impairment worldwide and
acknowledged as a condition with significant incidence on quality of life. Pain intensity is …

Experimental exploration of multilevel human pain assessment using blood volume pulse (bvp) signals

MU Khan, S Aziz, N Hirachan, C Joseph, J Li… - Sensors, 2023 - mdpi.com
Critically ill patients often lack cognitive or communicative functions, making it challenging to
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …

Cortical network response to acupuncture and the effect of the hegu point: an fNIRS study

R Fernandez Rojas, M Liao, J Romero, X Huang… - Sensors, 2019 - mdpi.com
Acupuncture is a practice of treatment based on influencing specific points on the body by
inserting needles. According to traditional Chinese medicine, the aim of acupuncture …

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 …

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 …

Analgesic electrical stimulation combined with wrist-ankle acupuncture reduces the cortical response to pain in patients with Myofasciitis: a randomized clinical trial

J Du, P Shi, J Liu, H Yu, F Fang - Pain Medicine, 2023 - academic.oup.com
Objective Transcutaneous electrical nerve stimulation (TENS) based on wrist-ankle
acupuncture has been shown to relieve pain levels in patients with myofascial pain …

Machine learning approach for classifying college scholastic ability test levels with unsupervised features from prefrontal functional near-infrared spectroscopy signals

J Choi, I Ko, Y Nah, B Kim, Y Park, J Cha, J Choi… - IEEE …, 2022 - ieeexplore.ieee.org
Learning ability evaluation has been critical in educational and medical fields to investigate
learning achievement or cognitive impairment. Previous researchers utilized biosignal data …

On the reliability of frequency-domain features for fNIRS BCIs in the presence of pain

A Subramanian, F Shamsi… - 2021 IEEE Signal …, 2021 - ieeexplore.ieee.org
In this paper, we study the effects of the presence of pain on the classification accuracy of
mental arithmetic tasks in functional near infrared spectroscopy (fNIRS)-based brain …