Task-Dependent Compression Performance Assessment in Body Physiology Signals

Compression of biological signals have great importance in storing, offline processing, and transmission of these signals to other entities. There have been many researches based on assessing the performance of newly published compression methods. Main performance metrics used in these researches are...

Full description

Saved in:
Bibliographic Details
Published in:2020 28th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Authors: Ileri, Fatih, Gokcay, Didem
Format: Conference Proceeding
Language:English
Published: IEEE 05.10.2020
Subjects:
DCT
Discrete cosine transforms
Electroencephalography
Electromyography
entropy coding
Measurement
Multilayer perceptrons
Neural networks
signal compression
Task analysis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Compression of biological signals have great importance in storing, offline processing, and transmission of these signals to other entities. There have been many researches based on assessing the performance of newly published compression methods. Main performance metrics used in these researches are the compression ratio (CR) and the error metric, generally the PRD (percent mean square difference). In this research we assess the performance of our compression method in a task-dependent fashion. We applied a neural network based classification on original and compressed EMG signals, collected from subjects participated a defined task. With this approach, we were able to understand what amount of necessary information of EMG signals is suppressed during compression.
AbstractList Compression of biological signals have great importance in storing, offline processing, and transmission of these signals to other entities. There have been many researches based on assessing the performance of newly published compression methods. Main performance metrics used in these researches are the compression ratio (CR) and the error metric, generally the PRD (percent mean square difference). In this research we assess the performance of our compression method in a task-dependent fashion. We applied a neural network based classification on original and compressed EMG signals, collected from subjects participated a defined task. With this approach, we were able to understand what amount of necessary information of EMG signals is suppressed during compression.
Author Gokcay, Didem
Ileri, Fatih
Author_xml – sequence: 1
  givenname: Fatih
  surname: Ileri
  fullname: Ileri, Fatih
  email: fatih.ileri@metu.edu.tr
  organization: Tıp Bilişimi Bölümü, Orta Doğu Teknik Üniversitesi Enfomatik Enstitüsü,Ankara,Türkiye
– sequence: 2
  givenname: Didem
  surname: Gokcay
  fullname: Gokcay, Didem
  email: dgokcay@metu.edu.tr
  organization: Tıp Bilişimi Bölümü, Orta Doğu Teknik Üniversitesi Enfomatik Enstitüsü,Ankara,Türkiye
BookMark eNotT1FLwzAYjKAPOvcLRMgfaM2XpGnyOKvOQcHBuueRNV9ncE1K40v_vR3u4e7g7ji4B3IbYkBCnoHlAMy87DZ7aWShcs44y42YWZobsjSlhpJfwJS8J3Vj00_2hgMGh-GXVrEfRkzJx0C3OHZx7G1oka5Smt3-UvGBvkY30e33NNfO8TTRnT8Fe06P5K6bBZdXXZDm472pPrP6a72pVnXmpVaZAiy1tkZJdA6hAA4WBAPGWutMxzmCaK1WVoOB1hRS4xxq5jpnWFEexYI8_c96RDwMo-_tOB2uF8UfjZVLJg
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/SIU49456.2020.9302049
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781728172064
1728172063
EndPage 4
ExternalDocumentID 9302049
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i486-61e788a964edde15121a130100cad9f22e13ca86a8191c9548e01080dfd9057b3
IEDL.DBID RIE
IngestDate Wed May 01 11:49:16 EDT 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i486-61e788a964edde15121a130100cad9f22e13ca86a8191c9548e01080dfd9057b3
PageCount 4
ParticipantIDs ieee_primary_9302049
PublicationCentury 2000
PublicationDate 2020-Oct.-5
PublicationDateYYYYMMDD 2020-10-05
PublicationDate_xml – month: 10
  year: 2020
  text: 2020-Oct.-5
  day: 05
PublicationDecade 2020
PublicationTitle 2020 28th Signal Processing and Communications Applications Conference (SIU)
PublicationTitleAbbrev SIU
PublicationYear 2020
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.7363826
Snippet Compression of biological signals have great importance in storing, offline processing, and transmission of these signals to other entities. There have been...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms DCT
Discrete cosine transforms
Electroencephalography
Electromyography
entropy coding
Measurement
Multilayer perceptrons
Neural networks
signal compression
Task analysis
Title Task-Dependent Compression Performance Assessment in Body Physiology Signals
URI https://ieeexplore.ieee.org/document/9302049
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3LagMhFL0koYuu2pKUvnHRZU3G0Rl12VdoIYSBTEt2wRm1DIVJyKPQv6-aIaHQTXcignBF78NzzgW4tYklWjGOJSMWM64LXEgrMY0TahW1hQ49I99HfDwW06nMWnC348IYYwL4zPT9MPzl63m58aWygaSeyinb0Oacb7laDSmHRHIweX1j0sUDLumLo36z9lfTlOAzhkf_2-0YenvyHcp2buUEWqbuwihXq0_81HSsXSN_jbcI1hple-w_ut8JbaKqRg9z_Y0CxjMUz9Gk-vByyT3Ih8_54wtuGiHgionUZXfGJapKpsy4x8i7aKKc6yFRVCotbRwbQkslUuWTr9IruJnIQwe11dKFYwU9hU49r80ZIM61SBMaaWU9eJQoFQsTC8GIF4lJ5Dl0vSFmi63UxayxwcXf05dw6G0dsG3JFXTWy425hoPya12tljfhfH4AE9uSlA
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwFD7MKeiTyibezYOPZjZN2iaP3saGdQxWZW8jbRIpQie7CP57k6xsCL74FkIgcEJyLvm-7wBcm8gQJVmCBSMGs0TlOBdGYBpG1EhqcuV7Rr6lyWDAx2MxbMDNmgujtfbgM91xQ_-Xr6bF0pXKbgV1VE6xBdsRYyFZsbVqWg4JxO2o_8qEjQhs2hcGnXr1r7Yp3mt09_-33wG0N_Q7NFw7lkNo6KoFaSbnH_ix7lm7QO4irzCsFRpu0P_obi21icoK3U_VN_IoT18-R6Py3QkmtyHrPmUPPVy3QsAl47HN77RNVaWImbbPkXPSRFrnQ4KgkEqYMNSEFpLH0qVfhdNw04EDDyqjhA3IcnoEzWpa6WNASaJ4HNFASePgo0TKkOuQc0acTEwkTqDlDDH5XIldTGobnP49fQW7vewlnaT9wfMZ7Dm7e6RbdA7NxWypL2Cn-FqU89mlP6sf5YiV2w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2020+28th+Signal+Processing+and+Communications+Applications+Conference+%28SIU%29&rft.atitle=Task-Dependent+Compression+Performance+Assessment+in+Body+Physiology+Signals&rft.au=Ileri%2C+Fatih&rft.au=Gokcay%2C+Didem&rft.date=2020-10-05&rft.pub=IEEE&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1109%2FSIU49456.2020.9302049&rft.externalDocID=9302049