Zobrazeno 1 - 10
of 2 560
pro vyhledávání: '"Motion artifact"'
Autor:
Tobit Führes, Marc Saake, Jennifer Lorenz, Hannes Seuss, Sebastian Bickelhaupt, Michael Uder, Frederik Bernd Laun
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 258-269 (2024)
Purpose: This research aims to develop a feature-guided deep learning approach and compare it with an optimized conventional post-processing algorithm in order to enhance the image quality of diffusion-weighted liver images and, in particular, to red
Externí odkaz:
https://doaj.org/article/094c7e8218954dad807c647df2eb5d3d
Akademický článek
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Akademický článek
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Publikováno v:
Serbian Journal of Electrical Engineering, Vol 21, Iss 2, Pp 251-273 (2024)
As exemplified during the COVID-19 pandemic and in post-operative intensive care units, monitoring blood oxygen saturation (SpO2) levels is crucial in terms of assessing a patient’s health condition. Due to random movements of the subject, a pul
Externí odkaz:
https://doaj.org/article/f3c1ab43d4ab4d0895fbaf77825fcb50
Publikováno v:
IEEE Access, Vol 12, Pp 74185-74196 (2024)
The presence of muscles throughout the active parts of the body, such as the upper and lower limbs, makes electromyography-based human-machine interaction prevalent. However, muscle signals are stochastic and noisy, with noises being both regular and
Externí odkaz:
https://doaj.org/article/d083231318e74c46bb2184d7f523c52f
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 348-358 (2024)
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered by motion artifacts, including those encountere
Externí odkaz:
https://doaj.org/article/5213ee41a0e64063b75f3ee49970257a
Anti-artifacts techniques for neural recording front-ends in closed-loop brain-machine interface ICs
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
In recent years, thanks to the development of integrated circuits, clinical medicine has witnessed significant advancements, enabling more efficient and intelligent treatment approaches. Particularly in the field of neuromedical, the utilization of b
Externí odkaz:
https://doaj.org/article/3e8974eaa61a44bd98ddde4ffd11bd78
Autor:
Jarelh Galdos, Nikolai Lopez Colque, Angie Medina Rodirguez, Jorge Huarca Quispe, Jorge Rendulich, Erasmo Sulla Espinoza
Publikováno v:
Applied Computer Science, Vol 20, Iss 1 (2024)
The acquisition of ECG signals offers physicians and specialists a very important tool in the diagnosis of cardiovascular diseases. However, very often these signals are affected by noise from various sources, including noise generated by movement du
Externí odkaz:
https://doaj.org/article/12085d2f38634dcca344e426a889100d
Autor:
Yahia H. Khubrani, Hassem Geha, Rujuta A. Katkar, Taraneh Maghsoodi-Zahedi, William Moore, Ahmed Z. Abdelkarim
Publikováno v:
Dentistry Journal, Vol 12, Iss 8, p 262 (2024)
Objective: The primary goal of this investigation was to ascertain the efficacy of the CALM® motion artifact reduction algorithm in diminishing motion-induced blurriness in Cone Beam Computed Tomography [CBCT] images. The assessment was conducted th
Externí odkaz:
https://doaj.org/article/6401b3a19928480abb8ebe3e0a75be0d
Publikováno v:
Medicina, Vol 60, Iss 8, p 1301 (2024)
Background and Objectives: This study’s objective was to investigate the influence of increased scan speed and pitch on image quality and nodule volumetry in patients who underwent ultra-low-dose chest computed tomography (CT). Material and Methods
Externí odkaz:
https://doaj.org/article/c1031258e6a345529ae3783ecd364d13