Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Albaqami, Hezam"'
Epilepsy is a highly prevalent brain condition with many serious complications arising from it. The majority of patients which present to a clinic and undergo electroencephalogram (EEG) monitoring would be unlikely to experience seizures during the e
Externí odkaz:
http://arxiv.org/abs/2304.13965
Publikováno v:
Biomed. Signal Process. Control. 84 (2023) 104780
Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive. Automated diagnosis systems, with the advancement of machine learning
Externí odkaz:
http://arxiv.org/abs/2211.04628
Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and are treated differently. Electroencephalography (EEG) is commonly used
Externí odkaz:
http://arxiv.org/abs/2203.00511
Publikováno v:
Biomedical Signal Processing and Control, Volume 70, September 2021, 102957
Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, manual analysis of EEG signals could be strenuous and a time-consuming
Externí odkaz:
http://arxiv.org/abs/2012.10034
Publikováno v:
In Biomedical Signal Processing and Control July 2023 84
Autor:
Albaqami, Hezam1,2 (AUTHOR) ghulam.hassan@uwa.edu.au, Hassan, Ghulam Mubashar1 (AUTHOR) amitava.datta@uwa.edu.au, Datta, Amitava1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jul2023, Vol. 23 Issue 13, p5960. 16p.
Publikováno v:
In Biomedical Signal Processing and Control September 2021 70