English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. Choose Browse By / 
  2. View item

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform

Adamczyk, M., Genzel, L., Dresler, M., Steiger, A., & Frieß, E. (2015). Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform. FRONTIERS IN HUMAN NEUROSCIENCE, 9: 624. doi:10.3389/fnhum.2015.00624.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-0EB2-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-0EB3-8
Genre: Journal Article

Files

show Files
hide Files
:
fnhum-09-00624.pdf (Any fulltext), 3MB
View   Save
File Permalink:
https://hdl.handle.net/11858/00-001M-0000-002A-0EB4-6
Name:
fnhum-09-00624.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by

Locators

show

Creators

show
hide
 Creators:
Adamczyk, Marek1, Author           
Genzel, Lisa2, Author
Dresler, Martin1, 2, Author           
Steiger, Axel1, Author           
Frieß, Elisabeth1, Author           
Affiliations:
1Max Planck Institute of Psychiatry, Max Planck Society, ou_1607137              
2external, ou_persistent22              

Content

show
hide
Free keywords: EEG, sleep spindle, automatic detection, twins, heritability
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2015-11-19
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000366566000001
DOI: 10.3389/fnhum.2015.00624
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: FRONTIERS IN HUMAN NEUROSCIENCE
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne, CH : Frontiers Media SA
Pages: - Volume / Issue: 9 Sequence Number: 624 Start / End Page: - Identifier: ISSN: 1662-5161