Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Omar Altwijri"'
Autor:
Tasriva Sikandar, Mohammad Fazle Rabbi, Kamarul Hawari Ghazali, Omar Altwijri, Mohammed Almijalli, Nizam Uddin Ahamed
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Gait data collection from overweight individuals walking on irregular surfaces is a challenging task that can be addressed using inertial measurement unit (IMU) sensors. However, it is unclear how many IMUs are needed, particularly when body
Externí odkaz:
https://doaj.org/article/328ffb294e98466ba8bfbf56f3b9005d
Autor:
Omar Altwijri, Reem Alanazi, Adham Aleid, Khalid Alhussaini, Ziyad Aloqalaa, Mohammed Almijalli, Ali Saad
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13051 (2023)
This study introduces a novel deep-learning methodology that is customized to automatically diagnose Alzheimer’s disease (AD) through the analysis of MRI datasets. The process of diagnosing AD via the visual examination of magnetic resonance imagin
Externí odkaz:
https://doaj.org/article/752a058518734242aba5a153dee4774e
Publikováno v:
Systems, Vol 11, Iss 8, p 384 (2023)
The integration of Student Response Systems (SRSs) into classroom teaching is a pioneering progression in social sciences research that has shown potential in boosting student engagement and elevating academic success. However, no extensive study has
Externí odkaz:
https://doaj.org/article/729e33e4995f49b28437eab016c9b9e8
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3808 (2023)
Artificial intelligence (AI) is one of the most promising approaches to health innovation. The use of AI in image recognition considerably extends findings beyond the constraints of human sight. The application of AI in medical imaging, which relies
Externí odkaz:
https://doaj.org/article/fbf9f117bc134c6ea9bf2f1cd7dffbfa
Autor:
Tasriva Sikandar, Sam Matiur Rahman, Dilshad Islam, Md. Asraf Ali, Md. Abdullah Al Mamun, Mohammad Fazle Rabbi, Kamarul H. Ghazali, Omar Altwijri, Mohammed Almijalli, Nizam U. Ahamed
Publikováno v:
Bioengineering, Vol 9, Iss 11, p 715 (2022)
Walking speed is considered a reliable assessment tool for any movement-related functional activities of an individual (i.e., patients and healthy controls) by caregivers and clinicians. Traditional video surveillance gait monitoring in clinics and a
Externí odkaz:
https://doaj.org/article/fa9799aee5ac4c5f9752f57d48b627b3
Autor:
Tasriva Sikandar, Mohammad F. Rabbi, Kamarul H. Ghazali, Omar Altwijri, Mahdi Alqahtani, Mohammed Almijalli, Saleh Altayyar, Nizam U. Ahamed
Publikováno v:
Sensors, Vol 21, Iss 8, p 2836 (2021)
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a
Externí odkaz:
https://doaj.org/article/7c5186e6c32e4ae4b6442c256c5e16a7
Autor:
Tasriva Sikandar, Mohammad Fazle Rabbi, Kamarul Hawari Ghazali, Omar Altwijri, Mohammed Almijalli, Nizam Uddin Ahamed
Publikováno v:
Physical and engineering sciences in medicine.
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influences the walk patterns of individuals. In addition to the BMI, uneven walking surfaces may cause var
Publikováno v:
BioNanoScience. 9:966-976
Abdominal aortic aneurysm (AAA) is a life-threatening disease when the diameter exceeds its safety margin or the aortic wall reaches its mechanical strength. Both of these potential problems need to be clinically assessed. The geometrical influence o
Autor:
Kamarul Hawari Ghazali, Mohammad Fazle Rabbi, Saleh S Altayyar, Omar Altwijri, Mahdi Alqahtani, Mohammed Almijalli, Nizam Uddin Ahamed, Tasriva Sikandar
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2836, p 2836 (2021)
Sensors
Volume 21
Issue 8
Sensors, Vol 21, Iss 2836, p 2836 (2021)
Sensors
Volume 21
Issue 8
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a
Publikováno v:
Cyber Security and Computer Science ISBN: 9783030528553
This paper aimed to classify two forearm muscles known as Flexor Carpi Ulnaris (FCU) and Extensor Carpi Radialis Longus (ECRL) using surface Electromyography (sEMG) signal during different hand prehension tasks, such as cylindrical, tip, spherical, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75e778915495524be08bd1ca8827fa6
https://doi.org/10.1007/978-3-030-52856-0_24
https://doi.org/10.1007/978-3-030-52856-0_24