Hardware Software Co-design of Epileptic Seizure Prediction Systems
This book offers insights into hardware-software co-design of epilepsy prediction models. This comprehensive exploration is a key to unlocking the mysteries of seizure forecasting, equipped with expert guidance and visionary foresight. From theory to practice, the authors illuminate the path forward...
Guardat en:
| Autors principals: | , , |
|---|---|
| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Edició: | 1st ed. 2025. |
| Col·lecció: | Analog Circuits and Signal Processing,
|
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-95357-6 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-95357-6 | ||
| 003 | DE-He213 | ||
| 005 | 20260810161328.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 251001s2025 sz | o |||| 0|eng d | ||
| 020 | |a 9783031953576 |9 978-3-031-95357-6 | ||
| 024 | 7 | |a 10.1007/978-3-031-95357-6 |2 doi | |
| 050 | 4 | |a TK7867-7867.5 | |
| 072 | 7 | |a TJFC |2 bicssc | |
| 072 | 7 | |a TEC008010 |2 bisacsh | |
| 072 | 7 | |a TJFC |2 thema | |
| 082 | 0 | 4 | |a 621.3815 |2 23 |
| 100 | 1 | |a Varnosfaderani, Shiva Maleki. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Hardware Software Co-design of Epileptic Seizure Prediction Systems |h [electronic resource] / |c by Shiva Maleki Varnosfaderani, Nabil J. Sarhan, Mohammad Alhawari. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XVIII, 98 p. 37 illus.). |b 32 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b PDF/UA-1 |2 onix | |
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Analog Circuits and Signal Processing, |x 2197-1854 | |
| 505 | 0 | |a What is Epilepsy? -- Importance of Epilepsy Prediction -- Available EEG Datasets -- Data Preparation -- Epilepsy Prediction Models -- Design Consideration for wearable and implantable epileptic prediction devices. | |
| 520 | |a This book offers insights into hardware-software co-design of epilepsy prediction models. This comprehensive exploration is a key to unlocking the mysteries of seizure forecasting, equipped with expert guidance and visionary foresight. From theory to practice, the authors illuminate the path forward, providing researchers with the tools and knowledge needed to navigate this dynamic field with confidence. They explore the latest advancements in deep learning technology and gain invaluable perspectives on the future landscape of epilepsy research. Bridging the gap between innovation and practicality, this book is a beacon for those seeking to make a tangible impact in healthcare. Provides thorough description of the procedures involved in creating an effective epilepsy prediction model; Offers an overview of the seizure disorder, the many types of seizures, their symptoms, and more; Covers deep learning-based prediction systems, available datasets and effective epileptic machine learning model design. . | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Electronic circuit design. | |
| 650 | 0 | |a Embedded computer systems. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 1 | 4 | |a Electronics Design and Verification. |
| 650 | 2 | 4 | |a Embedded Systems. |
| 650 | 2 | 4 | |a Digital and Analog Signal Processing. |
| 700 | 1 | |a Sarhan, Nabil J. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Alhawari, Mohammad. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031953569 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031953583 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031953590 |
| 830 | 0 | |a Analog Circuits and Signal Processing, |x 2197-1854 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-95357-6 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 912 | |a ZDB-2-233 | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||
| 950 | |a Focus Bundle Electrical and Electronic Engineering (SpringerNature-85403) | ||