- Tytuł:
- Design of Wearable EEG Device for Seizures Early Detection
- Autorzy:
-
Gaidar, Viktoriia
Sudakov, Oleksandr - Powiązania:
- https://bibliotekanauki.pl/articles/1844635.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
circuit design
statistical sampling
Hilbert-Huang transform
feature selection - Opis:
- This paper presents the design of a wearable electroencephalography device and signal processing algorithm for early detection and forecasting of the epileptiform activity. The availability of the examination of functional brain activity for a prolonged period, outside of the hospital facilities, can provide new advantages in early diagnosis and intervention systems. In this study, the low-cost five-channel device is presented. The system consists of two main parts: the data acquisition and transmission units and processing algorithms. In order to create the robust epileptiform pattern recognition approach the application of statistical sampling and signal processing techniques are performed. The discrete wavelet and Hilbert-Huang transforms with principal component analysis are used in order to extract and select a low-dimension feature vector.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2021, 67, 2; 187-192
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł