Multimodal fusion for objective assessment of cognitive workload: A review
Considerable progress has been made in improving the estimation accuracy of cognitive
workload using various sensor technologies. However, the overall performance of different …
workload using various sensor technologies. However, the overall performance of different …
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 …
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 …
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
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 …
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 …
inserting needles. According to traditional Chinese medicine, the aim of acupuncture …
Multimodal physiological sensing for the assessment of acute pain
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 …
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 …
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 …
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
Learning ability evaluation has been critical in educational and medical fields to investigate
learning achievement or cognitive impairment. Previous researchers utilized biosignal data …
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 …
mental arithmetic tasks in functional near infrared spectroscopy (fNIRS)-based brain …