Braham Levy, J and Linkens, D. A. (1983) Spectral Analysis of Short-Time Biomedical Data Using Adaptive Filters. Research Report. ACSE Report 218 . Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield
Abstract
Conventional methods of spectral analysis are unable to track small but rapid variations in frequency. The LMS algorithm used as an adaptive line enhancer is found to track these signals and provides insight into mechanical and physiological effects of the human body when analysing electrical signals obtained from internally and externally placed electrodes.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 02 Sep 2013 11:49 |
Last Modified: | 25 Oct 2016 05:07 |
Status: | Published |
Publisher: | Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield |
Series Name: | ACSE Report 218 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76358 |