Work

Application of a convolutional neural network for fully-automated detection of spike ripples in the scalp electroencephalogram

Year: 2021

Type: article

Source: Journal of Neuroscience Methods

DOI: 10.1016/j.jneumeth.2021.109239

Authors: Jessica K. Nadalin, Uri T. Eden, Xue Han, R. Mark Richardson, Catherine J. Chu, Mark A. Kramer

Institutions: Boston University, Massachusetts General Hospital

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: Understanding the Fast and Slow Spatiotemporal Dynamics of Human Seizures, CAREER: Mathematical Modeling and Computational Studies of Human Seizure Initiation and Spread, Targeting Pathologic Spike-Ripples to Isolate and Disrupt Epileptic Dynamics

OpenAlex ID: W3167029940

FWCI: 1.569

Cites: 84

Cited by: 18

Related to: 10