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.)

ISBN 10: 6203194158 / ISBN 13: 9786203194159

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

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.

Seller Inventory # 119514299

Bibliographic Details

• Title: Intelligent Epileptic Seizure detection methods using Biosignals | Seizure detection based on EEG, ECG and MEMS Accelerometer signals using Supervised and Unsupervised learning methods
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6203194158
• ISBN 13: 9786203194159
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 292 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.