- Tytuł:
- A Low Power and High Performance Hardware Design for Automatic Epilepsy Seizure Detection
- Autorzy:
-
Rafiammal, S. Syed
Najumnissa, D.
Anuradha, G.
Mohideen, S. Kaja
Jawahar, P. K.
Mutalib, Syed Abdul - Powiązania:
- https://bibliotekanauki.pl/articles/963923.pdf
- Data publikacji:
- 2019
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
epilepsy detection
system on chip
implementation
Quadrature Linear Discriminant Analysis
hardware design
seizure detection - Opis:
- An application specific integrated design using Quadrature Linear Discriminant Analysis is proposed for automatic detection of normal and epilepsy seizure signals from EEG recordings in epilepsy patients. Five statistical parameters are extracted to form the feature vector for training of the classifier. The statistical parameters are Standardised Moment, Co-efficient of Variance, Range, Root Mean Square Value and Energy. The Intellectual Property Core performs the process of filtering, segmentation, extraction of statistical features and classification of epilepsy seizure and normal signals. The design is implemented in Zynq 7000 Zc706 SoC with average accuracy of 99%, Specificity of 100%, F1 score of 0.99, Sensitivity of 98% and Precision of 100 % with error rate of 0.0013/hr., which is approximately zero false detection.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2019, 65, 4; 707-712
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł