A quaternion weighted Fourier linear combiner for modeling physiological tremor
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 208820-118537-1293
- Type
- D - Journal article
- DOI
-
10.1109/TBME.2016.2530564
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 2336
- Volume
- 63
- Issue
- 11
- ISSN
- 0018-9294
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1109/TBME.2016.2530564
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is an international collaboration between Newcastle University, Nanyang Technological University, Singapore and Kyungpook National University, South Korea. It presents a new class of algorithms based on quaternion algebra for filtering and processing of multi-dimensional signals in three and four dimensions. The proposed quaternion algorithms exploits the mutual dependencies and correlations between different channels of a physiological tremor signal, hence significantly outperforms their conventional uni-dimensional variants. Since the publication of this paper, it has been widely used by other researchers as a theoretical model for processing and filtering of many other naturally occurring, multidimensional real world signals.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -