Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Raul Fernandez-Rojas"'
Publikováno v:
Sensors, Vol 24, Iss 20, p 6508 (2024)
Schizophrenia (SZ) is a severe mental disorder characterised by disruptions in cognition, behaviour, and perception, significantly impacting an individual’s life. Traditional SZ diagnosis methods are labour-intensive and prone to errors. This study
Externí odkaz:
https://doaj.org/article/6ccdccfa6ae04f438ed9cfe189678733
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
IntroductionPain assessment is extremely important in patients unable to communicate and it is often done by clinical judgement. However, assessing pain using observable indicators can be challenging for clinicians due to the subjective perceptions,
Externí odkaz:
https://doaj.org/article/74f73d62509440a985cc113edd2c2474
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-25 (2023)
Abstract 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 these challenges. The objective of this review is to summarise and
Externí odkaz:
https://doaj.org/article/4d3acc06684f4a1abbb8e2f8d762ddd3
Publikováno v:
IEEE Access, Vol 11, Pp 66641-66671 (2023)
Functional near-infrared spectroscopy (fNIRS) can be used to study activity patterns in different brain cortical areas involved in balance control. This systematic review aims to report on studies in which balance performance has been quantitatively
Externí odkaz:
https://doaj.org/article/e5c6c52a957349c9934374b5491e6288
Autor:
Raul Fernandez Rojas, Niraj Hirachan, Nicholas Brown, Gordon Waddington, Luke Murtagh, Ben Seymour, Roland Goecke
Publikováno v:
Frontiers in Pain Research, Vol 4 (2023)
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 who are unable to self-report pain are at a higher risk of undiagnose
Externí odkaz:
https://doaj.org/article/4c6216324b0946dcacbe3595732a69c7
Autor:
Muhammad Umar Khan, Maryam Sousani, Niraj Hirachan, Calvin Joseph, Maryam Ghahramani, Girija Chetty, Roland Goecke, Raul Fernandez-Rojas
Publikováno v:
Sensors, Vol 24, Iss 2, p 458 (2024)
Assessing pain in non-verbal patients is challenging, often depending on clinical judgment which can be unreliable due to fluctuations in vital signs caused by underlying medical conditions. To date, there is a notable absence of objective diagnostic
Externí odkaz:
https://doaj.org/article/d270d0f5e076449e8eb42766abe14439
Autor:
Muhammad Umar Khan, Sumair Aziz, Niraj Hirachan, Calvin Joseph, Jasper Li, Raul Fernandez-Rojas
Publikováno v:
Sensors, Vol 23, Iss 8, p 3980 (2023)
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 accurate system that can assess pain levels without relying on
Externí odkaz:
https://doaj.org/article/0aa5beb660574d4d96cd72db0e758ec3
Autor:
Raul Fernandez-Rojas, Anthony Perry, Hemant Singh, Benjamin Campbell, Saber Elsayed, Robert Hunjet, Hussein A. Abbass
Publikováno v:
IEEE Access, Vol 7, Pp 33304-33328 (2019)
Autonomous vehicles are becoming a reality in places with advanced infrastructure to support their operations. In crowded places, harsh environments, missions that require these vehicles to be aware of the context in which they are operating, and sit
Externí odkaz:
https://doaj.org/article/04ed7a149da74d8ca57c2eb6d8ddbe12
Autor:
Raul Fernandez Rojas, Essam Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha Anavatti, Matthew Garratt, Hussein Abbass
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Background: Although many electroencephalographic (EEG) indicators have been proposed in the literature, it is unclear which of the power bands and various indices are best as indicators of mental workload. Spectral powers (Theta, Alpha, and Beta) an
Externí odkaz:
https://doaj.org/article/ddfa352fced145f59e3fe3a6e7e2569d
Publikováno v:
2022 International Conference on Frontiers of Information Technology (FIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc9a447c9fc2db43aafa4bf1ce33a37
https://doi.org/10.1109/fit57066.2022.00056
https://doi.org/10.1109/fit57066.2022.00056