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An algorithm for the automatic analysis of signals from an oyster heart rate sensor
Citation
Hellicar, AD and Rahman, A and Smith, DV and Smith, G and McCulloch, J and Andrewartha, S and Morash, A, An algorithm for the automatic analysis of signals from an oyster heart rate sensor, IEEE Sensors Journal, 15, (8) pp. 4480-4487. ISSN 1530-437X (2015) [Refereed Article]
Copyright Statement
Copyright 2015 IEEE
DOI: doi:10.1109/JSEN.2015.2422375
Abstract
An in situ optical oyster heart rate sensor generates
signals requiring frequency estimation with properties different
to human ECG and speech signals. We discuss the method
of signal generation and highlight a number of these signal
properties. An optimal heart rate estimation approach was
identified by application of a variety of frequency estimation
techniques and comparing results to manually acquired values.
Although a machine learning approach achieved the best
performance, accurately estimating 96.8% of the heart rates
correctly, a median filtered autocorrelation approach achieved
93.7% with significantly less computational requirement.
A method for estimating heart rate variation is also presented.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | biomedical signal processing, frequency estimation, machine learning |
| Research Division: | Biological Sciences |
| Research Group: | Zoology |
| Research Field: | Invertebrate biology |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the mathematical sciences |
| UTAS Author: | Andrewartha, S (Dr Sarah Andrewartha) |
| UTAS Author: | Morash, A (Dr Andrea Morash) |
| ID Code: | 106809 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 7 |
| Deposited By: | IMAS Research and Education Centre |
| Deposited On: | 2016-02-22 |
| Last Modified: | 2018-03-02 |
| Downloads: | 0 |
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