| _version_ | 1866902179643654144 |
|---|---|
| author | Ferdaush, Rafat paul, arnob |
| author_facet | Ferdaush, Rafat paul, arnob |
| contents | <p>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.<br>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.<br>All the epileptic spike is given to another csv file name "Epilpetic Spike Duration"</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17011827 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Mount Adora Epilepsy EEG Dataset: Clinical Recordings for Seizure Detection Studies Ferdaush, Rafat paul, arnob Epilepsy, EEG, Seizure detection, Biomedical signals, Machine learning, Mount Adora Hospital <p>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.<br>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.<br>All the epileptic spike is given to another csv file name "Epilpetic Spike Duration"</p> |
| title | Mount Adora Epilepsy EEG Dataset: Clinical Recordings for Seizure Detection Studies |
| topic | Epilepsy, EEG, Seizure detection, Biomedical signals, Machine learning, Mount Adora Hospital |
| url | https://doi.org/10.5281/zenodo.17011827 |