Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Fahd A. Alturki"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Effective management of dementia requires the timely detection of mild cognitive impairment (MCI). This paper introduces a multi-objective optimization approach for selecting EEG channels (and features) for the purpose of detecting MCI. Firs
Externí odkaz:
https://doaj.org/article/02e0517cfb5c4061aa6b6f2210e98c1a
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1619 (2024)
In recent years, electroencephalography (EEG) has been investigated for identifying brain disorders. This technique involves placing multiple electrodes (channels) on the scalp to measure the brain’s activities. This study focuses on accurately det
Externí odkaz:
https://doaj.org/article/2a388cc9b57a4314913c890287124c3a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/1631c4b11b0e46d195a45aae56eebc7f
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Early detection of Parkinson’s disease (PD) is very important in clinical diagnosis for preventing disease development. In this study, we present efficient discrete wavelet transform (DWT)-based methods for detecting PD from health control
Externí odkaz:
https://doaj.org/article/82d945efc54947b09980ba6bc6731a4b
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
IntroductionDespite the existence of numerous clinical techniques for identifying neurological brain disorders in their early stages, Electroencephalogram (EEG) data shows great promise as a means of detecting Alzheimer's disease (AD) at an early sta
Externí odkaz:
https://doaj.org/article/e9b1f891790d4508a7b0b0fe0342e604
Publikováno v:
IEEE Access, Vol 10, Pp 89781-89797 (2022)
The most common neurological brain issue is Alzheimer’s disease, which can be diagnosed using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to be effective in detecting Alzheimer’s disease. The purpose of this re
Externí odkaz:
https://doaj.org/article/376c2555a3f0431a846a2aed0f29b654
Autor:
Fahd A. Alturki, Majid Aljalal, Akram M. Abdurraqeeb, Khalil Alsharabi, Abdullrahman A. Al-Shamma'a
Publikováno v:
IEEE Access, Vol 9, Pp 24334-24349 (2021)
Electroencephalogram (EEG) signals reflect the activities or electrical disturbances in neurons in the human brain. Therefore, these signals are vital for diagnosing certain brain disorders. This study mainly focused on the diagnosis of epilepsy and
Externí odkaz:
https://doaj.org/article/0106514ff73d44649eb253714beb8770
Autor:
Fahd A. Alturki, Hammed O. Omotoso, Abdullrahman A. Al-Shamma'a, Hassan M. H. Farh, Khalil Alsharabi
Publikováno v:
IEEE Access, Vol 8, Pp 187276-187290 (2020)
Large-scale photovoltaic system (PV) installation can affect power system operation, stability, and reliability because of the non-linear characteristic of the PV system installation. DC/AC and DC/DC converters are the major devices use in connecting
Externí odkaz:
https://doaj.org/article/f5b81064807e4d88abbe0b3505cc45b4
Autor:
N. A. Saeed, Emad Mahrous Awwad, Ali Maarouf, Hassan M. H. Farh, Fahd A. Alturki, Jan Awrejcewicz
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
This article aims to explore the oscillatory characteristics of a controlled asymmetric rotor system when subjected to rub and impact forces between the rotor and stator. Four electromagnetic poles are used to control the whirling motion of the rotor
Externí odkaz:
https://doaj.org/article/ebee621cc2234c959928b0e9396471dd
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1033 (2022)
Parkinson’s disease (PD) is a very common brain abnormality that affects people all over the world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent disease progression. Electroencephalography (EEG) is one o
Externí odkaz:
https://doaj.org/article/ac800fb30d534d8bbeba34e9371edb7e