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An algorithm for the automatic analysis of signals from an oyster heart rate sensor


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


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

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