Hardware Software Co-design of Epileptic Seizure Prediction Systems
Buch in deiner Nähe kaufen
Beschreibung
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.
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
Autor*in
Shiva Maleki Varnosfaderani
Themen in »Hardware Software Co-design of Epileptic Seizure Prediction Systems«
Epilepsy prediction Models Deep Learning Techniques Artifact Removal Techniques Two-Layer LSTM Wearable and Implantable Devices