Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Fereidoun Nowshiravan Rahatabad"'
Autor:
Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, Keivan Maghooli
Publikováno v:
مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 46, Iss 3, Pp 275-293 (2024)
Background. Parkinson’s disease (PD) is a neurological disorder caused by the dysfunction of the basal nuclei, especially the substantia nigra, and a decrease in dopamine levels in the neural circuits of this part. In this paper, to investigate the
Externí odkaz:
https://doaj.org/article/3e583f12cbc448c1a5eb4541cb26fd4c
Autor:
Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, Keivan Maghooli
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 3 (2024)
Purpose: Parkinson's disease is a neurodegenerative disorder that affects the basal ganglia of the brain, which plays an important role in movement. Basal Ganglia-Thalamic network model including Subthalamic nucleus, Globus Pallidus externa, Globus P
Externí odkaz:
https://doaj.org/article/bbb8b81da1bd4d288e5f10ecc0e72fbb
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 3 (2024)
Purpose: Muscle synergy is a motor feature composed of synergy patterns and activation coefficients. This study aimed to combine the two-link arm model with synergy patterns and muscle activation coefficients, which in turn leads to selecting the opt
Externí odkaz:
https://doaj.org/article/0a33feda2eda46c28385752c33415473
Publikováno v:
Journal of Medical Signals and Sensors, Vol 13, Iss 1, Pp 29-39 (2023)
Background: This study was conducted to compare the response between the results of experimental data and the results achieved by the NARX neural network model to predict the electromyogram (EMG) signal on the biceps muscle in nonlinear stimulation c
Externí odkaz:
https://doaj.org/article/e97c38296e5f46aeb31204bb3dc3bdf6
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109438- (2023)
Biological systems, composed of various interrelated components, are nonlinear systems. Improved disease diagnosis and the application of efficient treatment and therapeutic aids are the direct outcomes of possessing a deep understanding of such syst
Externí odkaz:
https://doaj.org/article/3d9bbde8bdcf44aaa020f35f0a721cf6
Publikováno v:
Brain and Behavior, Vol 13, Iss 6, Pp n/a-n/a (2023)
Abstract Introduction Detecting arousal events during sleep is a challenging, time‐consuming, and costly process that requires neurology knowledge. Even though similar automated systems detect sleep stages exclusively, early detection of sleep even
Externí odkaz:
https://doaj.org/article/8202efda31894bed9f324f72c5be9af5
Publikováno v:
Frontiers in Biomedical Technologies, Vol 10, Iss 2 (2023)
Purpose: Therapeutic electrical stimulation of deep brain structures, such as subthalamic nucleus and the globus pallidus , is widely accepted as a treatment tool for patients with Parkinson's disease (PD). Electrical stimulation of the cerebral cort
Externí odkaz:
https://doaj.org/article/f0ebeaf09a1d4798adc9d733bd62dad2
Publikováno v:
Frontiers in Biomedical Technologies, Vol 10, Iss 2 (2023)
Purpose: Musculoskeletal systems have a complex and different nature, and it is very difficult to control issues in these systems due to various characteristics such as speed and accuracy. Therefore, investigating these musculoskeletal systems requir
Externí odkaz:
https://doaj.org/article/53b88336eda741d4ba3b7e75907810a5
Publikováno v:
Iranian Journal of Medical Physics, Vol 18, Iss 1, Pp 30-39 (2021)
Introduction: “Muscular synergy” is one of the methods for determining the relationship between the central nervous system and muscles which are involved in performing a specific movement. To perform each movement, certain patterns are followed t
Externí odkaz:
https://doaj.org/article/f3b4e84beb8b4bc1a58ee16f6f9ede0f
Publikováno v:
Journal of Medical Signals and Sensors, Vol 11, Iss 4, Pp 229-236 (2021)
Background: Nonlinear dynamics, especially the chaos characteristics, are useful in analyzing bio-potentials with many complexities. In this study, the evaluation of arm-tip force estimation method from the electroencephalography (EEG) signal in the
Externí odkaz:
https://doaj.org/article/b61d8a5c5a19436d87651dea22d9045c