Ashaari, A. and Ahmad, T. and Zenian, S. and Shukor, N. A. (2016) Selection probe of EEG using dynamic graph of autocatalytic set (ACS). In: 2nd International Conference on Soft Computing in Data Science, SCDS 2016, 21-22 Sept 2016, Kuala Lumpur, Malaysia.
Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
Electroencephalography (EEG) machine is a medical equipment which is used to diagnose seizure. EEG signal records data in the form of graph which consist of abnormal patterns such as spikes, sharp waves and also spikes and wave complexes. This pattern also come in multiple line series which then give some difficulties to analyze. This paper introduce the implementation of dynamic graph of Autocatalytic Set (ACS) for EEG signal during seizure. The result is then compared with other publish method namely Principal Component Analysis (PCA) of same EEG data.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Autocatalytic set (ACS), Dynamic graph, Electroencephalography (EEG), Epilepsy |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 73630 |
| Deposited By: | Mohd Zulaihi Zainudin |
| Deposited On: | 28 Nov 2017 05:01 |
| Last Modified: | 28 Nov 2017 05:01 |
Repository Staff Only: item control page
