Time and frequency domain pre-processing for epileptic seizure classification of epileptic EEG signals
Although epilepsy is one of the most prevalent and ancient neurological disorder, but, still
difficult to identify the specific type of seizure, due to artefacts, noise, and other disturbances …
difficult to identify the specific type of seizure, due to artefacts, noise, and other disturbances …
[PDF][PDF] Black spots identification on rural roads based on extreme learning machine
Accident black spots are usually defined as road locations with a high risk of fatal accidents.
A thorough analysis of these areas is essential to determine the real causes of mortality due …
A thorough analysis of these areas is essential to determine the real causes of mortality due …
Seven Epileptic Seizure Type Classification in Pre-Ictal, Ictal and Inter-Ictal Stages using Machine Learning Techniques
Background: Epileptic Seizure type diagnosis is done by clinician based on the symptoms
during the episode and the Electroencephalograph (EEG) recording taken during inter-ictal …
during the episode and the Electroencephalograph (EEG) recording taken during inter-ictal …
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N Krishnaswamy, V Deepak - nhsjs.com
Over 50 million people worldwide suffer from epilepsy, an incurable and life-changing
condition. Epilepsy is when excessive and abnormal brain cell activity occurs, resulting in a …
condition. Epilepsy is when excessive and abnormal brain cell activity occurs, resulting in a …