№ lp_2_1_26647
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The document addresses reviewer comments regarding the evaluation methodology and performance of EEG seizure detection systems, clarifying the use of scoring metrics and evaluation sets.
Year:
2019
Region / City:
Not specified
Theme:
EEG Seizure Detection, Scoring Systems
Document Type:
Peer Review Response
Institution / Organization:
Not specified
Author:
Not specified
Target Audience:
Researchers in EEG and seizure detection
Validity Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Region / City:
Jefferson County
Topic:
Medical Response, Surge, Mass Casualty Incident
Document Type:
Exercise Evaluation Guide
Organization / Institution:
Jefferson County Health Care Coalition / HPP Grant Program
Author:
Not specified
Target Audience:
Emergency response teams, healthcare providers, and disaster management officials
Period of Effectiveness:
Not specified
Approval Date:
Not specified
Date of Amendments:
Not specified
Year:
2024
Region / City:
Jefferson County
Topic:
Healthcare, Emergency Management, Medical Response
Document Type:
Exercise Evaluation Guide
Organization / Institution:
Jefferson County Health Care Coalition / HPP Grant Program
Author:
Jefferson County Health Care Coalition
Target Audience:
Emergency management professionals, healthcare coordinators
Period of Action:
April 2, 2024
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2024
Institution:
Temple University Hospital
Consortium:
Neural Engineering Data Consortium
Affiliation:
College of Engineering, Temple University
Location:
Philadelphia, Pennsylvania, United States
Document type:
Technical report
Subject:
EEG electrode placement, montages, and channel labeling
Corpus:
Temple University Hospital EEG Corpus
Data format:
European Data Format (EDF)
Authors:
Sean Ferrell; Vineetha Mathew; Matthew Refford; Vincent Tchiong; Tameem Ahsan; Iyad Obeid; Joseph Picone
Date prepared:
October 18, 2024
Time period of data collection:
2002–present
EEG recording environments:
ICU; EMU; ER; outpatient services
Intended audience:
Clinical researchers and EEG data analysts
Note:
Year
Subject:
Neuroscience, Psychology
Document Type:
Research Information
Institution:
Radboud University Centre for Language Studies
Target Audience:
Individuals interested in participating in EEG research
Year:
2023
Region / City:
Temple University Hospital, USA
Subject:
EEG, Neuroscience, Medical Research
Document Type:
Research Article
Institution:
Temple University
Author:
Multiple contributors
Target Audience:
Researchers, Medical Professionals
Period of Data Collection:
14 years
Approval Date:
Not specified
Date of Latest Update:
Not specified
Note:
Year
Note:
Year
Document Type:
Patient Information
Target Audience:
Parents of children undergoing EEG
Authors:
Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh
Type of document:
Research article
Field:
Biomedical engineering; Clinical anesthesia monitoring
Subject:
Depth of anesthesia assessment using EEG analysis
Methodology:
Phase-rectified signal averaging applied to electroencephalogram signals
Comparison methods:
Sample entropy; Detrended fluctuation analysis; Permutation entropy
Evaluation metrics:
Area under the receiver operating characteristic curve; Pearson correlation coefficient
Sample size:
56 surgical patients
Clinical context:
General anesthesia during surgery
Keywords:
Depth of anesthesia; Electroencephalogram; Phase-rectified signal averaging; Quasi-periodicities; Acceleration capacity; Deceleration capacity; Bispectral index; Expert assessment of conscious level
Year:
2015
Region / city:
Not specified
Subject matter:
EEG analysis, brain volumes, genotyping
Document type:
Research plan
Organization / institution:
Not specified
Author:
Not specified
Target audience:
Researchers in EEG and genetics
Effective period:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Year:
2026
Region:
International
Subject:
Neuroscience, Brain Imaging
Document Type:
Educational overview
Institutions:
Medical and research facilities
Authors:
Not specified
Target Audience:
Students, researchers, healthcare professionals
Techniques Covered:
Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Electroencephalography (EEG)
Duration of Procedures:
PET 2–3 hours, MRI 30–120 minutes, EEG 30–90 minutes
Safety Considerations:
Exposure to radiation (PET), strong magnetic fields (MRI), electrode application (EEG)
Image Interpretation:
Brain activity, tissue structure, neurological conditions
End Applications:
Diagnosis, research, comparative studies in brain function
Contextual Description:
Educational reference source detailing procedures, data interpretation, and comparative analysis of PET, MRI, and EEG brain imaging methods.
Field of study:
Cognitive neuroscience
Research topic:
Neural processing of brand-related visual congruence
Type of document:
Scientific research summary
Methodology:
Electroencephalography (EEG) and event-related potential (ERP) analysis
Participants:
32 individuals (13 female; mean age 26.84 ± 4.33)
Experimental setup:
32-channel EEG recording during a virtual reality visual task
Stimuli:
2D image sequences implying brands with congruent or incongruent brand logos
Number of stimuli sequences:
80 (40 congruent, 40 incongruent)
Frequency band analyzed:
Theta band (4–7 Hz)
Time window analyzed:
700–1200 ms after stimulus onset
Key ERP component:
N400
Brain regions analyzed:
Central and mid-frontal electrodes
Statistical method:
Two-dimensional permutation test
Primary variables:
ERP amplitude differences and theta band activity between congruent and incongruent conditions
Year:
2026
Region / City:
Bendigo, Australia
Document Type:
Medical Referral / Patient Record
Institution:
Bendigo Health
Specialty:
Neurology / Cardiology
Patient Information Included:
Yes
Referring Doctor Information Included:
Yes
Test Type:
Sleep Deprived Electroencephalogram (EEG)
Contact Information:
[email protected]; P: 54548017; F: 54548020
Purpose:
Clinical evaluation for EEG
Confidentiality:
Patient data
Year:
2025-6
Region / City:
Leicester
Topic:
Cognitive Aging, Language Processing, Eye-Tracking, EEG
Document Type:
Research Project Description
Organization:
University of Leicester
Author:
Professor Kevin Paterson, Dr Ascen Pagan
Target Audience:
PhD candidates, researchers in cognitive psychology and neuroscience
Period of Action:
2025-6
Approval Date:
N/A
Date of Changes:
N/A
Context:
The document outlines a research project focused on how cognitive aging affects language use, including methodologies like eye-tracking and EEG.
Year:
2026
Region / City:
Pisa, Turin, Namur, London, Boston
Subject:
Hypnosis, EEG, Functional Connectivity, Topology
Document Type:
Research Article
Institution / Department:
CENTAI Institute; Dept of Mathematics & Namur Institute for Complex Systems (naXys), Université de Namur; Dept of Information Engineering, University of Pisa; Scuola Superiore S. Anna; Dept Translational Research NTMS, University of Pisa; NP Lab, Network Science Institute, Northeastern University; Dept of Physics, Northeastern University
Authors:
Maxime Lucas, Noemi Aime, Alejandro Callara, Lorenzo Fontanelli, Laura Sebastiani, Enrica L. Santarcangelo, Giovanni Petri
Corresponding Author:
Enrica L. Santarcangelo, Dept. Translational Research NTMS, University of Pisa, [email protected]
Keywords:
consciousness, functional connectivity, hypnotizability, neutral hypnosis, physiological states, topology
Sample Size:
32 participants (16 highs, 16 lows)
Methods:
EEG recording, network analysis, topological data analysis
Study Period:
Pre-, during, and post-neutral hypnosis sessions
Acknowledgments:
Dr. I. Belcari contribution to early experiments
Funding / Support:
Not specified
Year:
Not provided
Region / City:
Not provided
Topic:
Review instructions, document comments
Document Type:
Internal review instructions
Organization / Institution:
Not provided
Author:
Not provided
Target Audience:
Reviewers of the document
Period of validity:
Not provided
Approval Date:
Not provided
Date of changes:
Not provided
Year:
2016
Region / City:
Not specified
Subject:
Elementary and Secondary Education Data
Document Type:
Supporting Statement
Organization / Institution:
U.S. Department of Education
Author:
Not specified
Target Audience:
Reviewers of the EDFacts data
Period of Validity:
Not specified
Approval Date:
February 2016
Date of Changes:
Not specified
Note:
Year
Topic:
Career Development, Research Staff, Professional Growth
Document Type:
Guidance Note
Organization:
University
Target Audience:
Research Staff, Line Managers, PI
Year:
2020
Region / City:
Missouri
Topic:
Transportation, Traffic Impact Analysis
Document Type:
Checklist
Organization:
Missouri Department of Transportation (MoDOT)
Author:
MoDOT
Target Audience:
Modelers, Transportation Engineers, Consultants
Period of Validity:
June 2020
Approval Date:
June 2020
Modification Date:
Not specified
Year:
2026
Region / city:
Global
Topic:
Academic Manuscript Submission Guidelines
Document Type:
Journal Submission Guidelines
Institution:
Not specified
Author:
Not specified
Target Audience:
Authors submitting academic papers
Effective Period:
Indefinite
Approval Date:
Not specified
Amendment Date:
Not specified
Note:
Year