[Eeglablist] CFP - SI on Early Detection of Stroke-Initiated Behavioral Disorder

[Lin, Hong]

Journal Impact Factor 3.342

Call for Papers

A stroke is a medical emergency also known as a cerebrovascular accident which
causes temporary or permanent behavioral disorder in humans. The stroke is
classified as ischemic-stroke and hemorrhagic-stroke and early diagnosis and
treatment is necessary to reduce its impact.

Due to a variety of causes, the incidence rate of stroke (ischemic/hemorrhagic)
has increased rapidly. Hence, automated diagnostic schemes are widely preferred
to evaluate the bio-signaling/bio-imaging data collected from the patient. Partial or
complete digital healthcare supports accurate and quick data acquisition, assessment,
and report generation to forecast the disease condition.

This Special Issue aims to discuss the various advancements employed in the collection
and evaluation of bio-signaling (EEG) and bio-imaging (MRI) data to predict
the condition of the brain. This Special Issue aims to assemble original research
describing methodologies considered to detect stroke (ischemic/hemorrhagic) using
single/multichannel EEG and brain MRI of multiple modalities. This Special Issue
also welcomes review articles related to stroke detection, assessment, and treatment.
Potential topics include but are not limited to the following:

Body area network for EEG collection
EEG examination with ÔD and converted 2D data
Stroke data preservation and Internet of Things (IoT)-based sharing
3D MRI processing for stroke lesion segmentation
Multi-modality fusion for stroke detection
Classification of EEG and MRI using binary and multi-class classifiers
Correlating bio-signals and bio-images
Stroke prediction model development
In-house and remote patient behavioral monitoring

Authors can submit their manuscripts through the Manuscript Tracking System at
https://urldefense.proofpoint.com/v2/url?u=https-3A__review.hindawi.com_submit-3Fjournal-3Dbn&d=DwIFAw&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=XD3lbTYiAIe8UmqBTPiCU3B6P1NzLkP5_quyynmCzcU&s=aKfkX_CC1ueVFhqHzwzyuNqT4QrikVZyp1N_XWE3m_M&e= .
Papers are published upon acceptance, regardless of the Special Issue publication
date.