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Intelligent Epileptic Seizure detection methods using Biosignals | Seizure detection based on EEG, ECG and MEMS Accelerometer signals using Supervised and Unsupervised learning methods | P. Grace Kanmani Prince (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203194159 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119514299
There is a worldwide concern about the mounting number of people with epilepsy. Globally around 50 million people are affected by seizure which is epileptic in nature. The epileptic seizure can be detected using EEG signals. For proper diagnosis of epileptic seizure, long hours of EEG signals have to be acquired from the affected persons and have to be reviewed by the doctor which proves to be strenuous. The heart rate variability aids in indicating the occurrence of a seizure. A seizure can also be detected using MEMS sensor which captures the most common external manifestations such as twitching of muscles and convulsions. In this book, EEG signals, heart rate variability and MEMS accelerometer signals are analyzed for the purpose of seizure detection.
Über die Autorin bzw. den Autor: Dr. P. Grace Kanmani Prince works as an Associate Professor in the department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai. She has Published 10 Scopus indexed and Web of Science publication. Her research interest is in the field of Biosignal Processing and Instrumentation.
Titel: Intelligent Epileptic Seizure detection ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2020
Einband: Taschenbuch
Zustand: Neu