A new approach to improve the quality of biosensor signals using Fast Independent Component Analysis : feasibility study using EMG recordings

Ganesh R. Naik, Yina Guo, Hung Nguyen

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

8 Citations (Scopus)

Abstract

The proposed signal processing technique uses Fast Independent Component Analysis (ICA) algorithm to improve the quality of the original biosensors recordings, which can be used as valuable pre-processing technique such as cross talk removal, artefact reduction etc. Initially, the ill conditioned original surface Electromyography (sEMG) recordings were separated using ICA methods and later they were reconstructed using modified un-mixing matrix. The simulation results showed huge improvement of the original recorded signal after reconstruction. The proposed method has potential applications in various biomedical signal processing techniques.
Original languageEnglish
Title of host publicationProceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '13), 3 - 7 July 2013, Osaka, Japan
PublisherIEEE
Pages1927-1929
Number of pages3
ISBN (Print)9781457702167
DOIs
Publication statusPublished - 2013
EventIEEE Engineering in Medicine and Biology Society. Annual Conference -
Duration: 30 Apr 2015 → …

Publication series

Name
ISSN (Print)1557-170X

Conference

ConferenceIEEE Engineering in Medicine and Biology Society. Annual Conference
Period30/04/15 → …

Keywords

  • biosensors
  • electromyography
  • independent component analysis
  • signal processing

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