Repozytorium Uniwersytetu Zielonogórskiego udostępnia 9 387 obiektów cyfrowych
Obiekt
Tytuł: Mathematical methods of signal analysis applied in medical diagnostic
Contributor:
Kołodziej, Joanna - ed. ; Pllana, Sabri - ed. ; Vitabile , Salvatore - ed.
Subtitle:
Group publication title:
Abstract:
Digital signal processing, such as filtering, information extraction, and fusion of various results, is currently an integral part of advanced medical therapies. It is especially important in neurosurgery during deep-brain stimulation procedures. In such procedures, the surgical target is accessed using special electrodes while not being directly visible. This requires very precise identification of brain structures in 3D space throughout the surgery. ; In the case of deep-brain stimulation surgery for Parkinson?s disease (PD), the target area - the subthalamic nucleus (STN) - is located deep within the brain. It is also very small (just a few millimetres across), which makes this procedure even more difficult. For this reason, various signals are acquired, filtered, and finally fused, to provide the neurosurgeon with the exact location of the target. These signals come from preoperative medical imaging (such as MRI and CT), and from recordings of brain activity carried out during surgery using special brain-implanted electrodes. ; Using the method described in this paper, it is possible to construct a decision-support system that, during surgery, analyses signals recorded within the patient?s brain and classifies them as recorded within the STN or not. The constructed classifier discriminates signals with a sensitivity of 0.97 and a specificity of 0.96. The described algorithm is currently used for deep-brain stimulation surgeries among PD patients.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 30, number 3 (2020) ; kliknij tutaj, żeby przejść
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2020)
Data ostatniej modyfikacji:
Jul 17, 2025
Data dodania obiektu:
Jul 17, 2025
Liczba wyświetleń treści obiektu:
29
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/101232
Wyświetl opis w formacie RDF:
Wyświetl opis w formacie OAI-PMH:
-
-
-
-
-
-
-
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 30, number 1 (2020)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 30, number 2 (2020)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 30, number 3 (2020)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 30, number 4 (2020)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
| Nazwa wydania | Data |
|---|---|
| Mathematical methods of signal analysis applied in medical diagnostic | Jul 17, 2025 |
Obiekty Podobne
Arabas, Piotr Malinowski, Krzysztof Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Deja, Rafał Froelich, Wojciech Deja, Grażyna Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Szłapczyński, Rafał Szłapczyńska, Joanna Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Haq, Anam Wilk, Szymon Abelló, Alberto Gamper, Johann - ed. Wrembel, Robert - ed.
Chou, Jyun-Jhe Shih, Chi-Sheng Wang, Wei-Dean Huang, Kuo-Chin Kobusińska, Anna - ed. Hsu, Ching-Hsien - ed. Lin, Kwei-Jay - ed.
Patalas-Maliszewska, Justyna Wiśniewski, Remigiusz Zhou, MengChu Topczak, Marcin Wojnakowski, Marcin Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Sun, Weiwei Shen, Liang Shao, Hu Liu, Pengjie Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Biedrzycki, Rafał Arabas, Jarosław Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
