Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Awwab Mohammad"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-23 (2023)
Abstract The commercial adoption of BCI technologies for both clinical and non-clinical applications is drawing scientists to the creation of wearable devices for daily living. Emotions are essential to human existence and have a significant impact o
Externí odkaz:
https://doaj.org/article/7c642688c25d49748d87010916930abd
Autor:
Farheen Siddiqui, Awwab Mohammad, M. Afshar Alam, Sameena Naaz, Parul Agarwal, Shahab Saquib Sohail, Dag Øivind Madsen
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 640 (2023)
BACKGROUND. Mental task identification using electroencephalography (EEG) signals is required for patients with limited or no motor movements. A subject-independent mental task classification framework can be applied to identify the mental task of a
Externí odkaz:
https://doaj.org/article/2ec25f5640db4894ae1fc1f4aa0c982f
Publikováno v:
Advanced Anesthesia Review ISBN: 0197584527
Operations involving the trachea, lungs, and chest wall pose unique anesthetic considerations that can provide difficult yet engaging challenges to the anesthesia provider. Special considerations throughout the perioperative period are particularly n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f39fb9a504708ab1d9bc2439cef950
https://doi.org/10.1093/med/9780197584521.003.0098
https://doi.org/10.1093/med/9780197584521.003.0098
Publikováno v:
Advanced Anesthesia Review ISBN: 0197584527
Video-assisted thoracoscopic surgery (VATS) techniques are used for both diagnostic and therapeutic purposes across a variety of pleural diseases, pulmonary resections, and peripheral biopsies. Other nonpulmonary indications for VATS include cardiac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3542d37dfded862719a7758c794344b1
https://doi.org/10.1093/med/9780197584521.003.0101
https://doi.org/10.1093/med/9780197584521.003.0101
Publikováno v:
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).
The implementation of the learning model is primarily dependent on the features extracted from the EEG signals for any mental task classification model. A feature depicts an identifiable measurement, a unique property and a functional factor achieved