
This is a EEG dataset of 212 epileptic-Normal patients. 101 of them are females, 111 of them are males. From the 110 of the EEG data(50 from female, 60 from male). Rest of the patients are non epileptic. In this dataset two folder was given. One of the folder is " Raw EEG" which contains Unprocessed EEG Data. For raw EEG signal, total number of channel is 23, two of them are NON EEG.Sampling Frequency is 128 Hz.Actual Cleaned and preprocessed EEG data is given to another folder called"Final cleaned". For preprocessing, we first rename channel name based on the standard. Then we remove Two Non EEG channel: EKG and MK. Then we use bandpass filter and ICA to remove all the artifact.All the epileptic spike is given to another csv file name "Epilpetic Spike Duration"
Epilepsy, EEG, Seizure detection, Biomedical signals, Machine learning, Mount Adora Hospital
Epilepsy, EEG, Seizure detection, Biomedical signals, Machine learning, Mount Adora Hospital
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
