Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG
Abstract
Detecting epileptic seizure from EEG signals constitutes a challenging problem of significant importance. Combining adaptive optimal kernel time-frequency representation and visibility graph, we develop a novel method for detecting epileptic seizure from EEG signals. We construct complex networks fr …
Keywords
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
algorithms
computer-assisted*
time factors
signal processing
cluster analysis
brain / diagnostic imaging*
brain / physiopathology
pmid:27832712
doi:10.1142/s0129065717500058
zhong-ke gao
qing cai
shan-shan zhang
datasets as topic
electroencephalography / methods*
entropy
epilepsy / diagnostic imaging*
epilepsy / physiopathology
neural pathways / diagnostic imaging
neural pathways / physiopathology
seizures / diagnostic imaging
seizures / physiopathology
Access
Citation
ID:
269213
References
Blockchain Verification
Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
269213
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
Creates 1,000,000 NFT tokens for this article
Token Features:
- ERC-1155 Standard NFT
- 1 Million Supply per Article
- Transferable via MetaMask
- Permanent Blockchain Record
Scan with Saymatik Web3.0 Wallet