Difference between revisions of "Projects:2017s1-159 Detecting Penguin’s Heart Sounds"
(→Reference) |
|||
Line 2: | Line 2: | ||
The project aims to develop signal processing algorithms to measure penguin heart rate with the aim of detecting stress. The audio data has been collected in decoy eggs. Once incubated by the penguin heart sounds are audible. The project aims to complete a software that can show the penguin heart rate in any time and so the project outcome is able to help researchers confirm whether human’s behaviour can interference measuring data of penguins and analyse penguin health and stress effects more flexibly and accurately. In addition, the skills of Matlab, Audacity and Graphical User Interface (GUI) will be mastered by group members. Moreover, the whole project will be finished in two semesters. The analysis of penguin heart sound will be finished by the middle of the second semester, and the software application that can show the penguin heart rate from the wave file will be completed by the end of the second semester. | The project aims to develop signal processing algorithms to measure penguin heart rate with the aim of detecting stress. The audio data has been collected in decoy eggs. Once incubated by the penguin heart sounds are audible. The project aims to complete a software that can show the penguin heart rate in any time and so the project outcome is able to help researchers confirm whether human’s behaviour can interference measuring data of penguins and analyse penguin health and stress effects more flexibly and accurately. In addition, the skills of Matlab, Audacity and Graphical User Interface (GUI) will be mastered by group members. Moreover, the whole project will be finished in two semesters. The analysis of penguin heart sound will be finished by the middle of the second semester, and the software application that can show the penguin heart rate from the wave file will be completed by the end of the second semester. | ||
+ | |||
+ | |||
+ | = Project number = | ||
+ | |||
+ | 159 | ||
Line 9: | Line 14: | ||
Yuxin Liu | Yuxin Liu | ||
+ | |||
= Supervisor and Advisor = | = Supervisor and Advisor = | ||
Line 16: | Line 22: | ||
Advisor: Brian Ng | Advisor: Brian Ng | ||
− | |||
− | |||
− | |||
= Reference = | = Reference = |
Revision as of 15:14, 21 September 2017
Introduction
The project aims to develop signal processing algorithms to measure penguin heart rate with the aim of detecting stress. The audio data has been collected in decoy eggs. Once incubated by the penguin heart sounds are audible. The project aims to complete a software that can show the penguin heart rate in any time and so the project outcome is able to help researchers confirm whether human’s behaviour can interference measuring data of penguins and analyse penguin health and stress effects more flexibly and accurately. In addition, the skills of Matlab, Audacity and Graphical User Interface (GUI) will be mastered by group members. Moreover, the whole project will be finished in two semesters. The analysis of penguin heart sound will be finished by the middle of the second semester, and the software application that can show the penguin heart rate from the wave file will be completed by the end of the second semester.
Project number
159
Project team
Xintong Lu
Yuxin Liu
Supervisor and Advisor
Supervisor : Mathias Baument
Advisor: Brian Ng
Reference
A.J. Nimon, et al, ‘Artificial eggs : measuring heart rate and effects of disturbance in nesting penguins’, Phusiol Behav, 1996, pp.1019-1022.
Hubbard, B.(1998). The world according to wavelets. 2nd ed.
Giese. M, Handsworth.R, "MEASURING RESTING HEART RATES IN PENGUINS USING AN ARTIFICIAL EGG", J. FieldOrnithol., 70(1):49-54 1999.
Giannakopoulos, T & Pikrakis, A, Introduction to Audio Analysis, 1sr Ed., The Boulevard, Langford Lane, Kidlington, Oxford OX5, UK, 2014, pp. 33-34.
Rioul, O. and Vetterli, M. (1991). Wavelets and signal processing. IEEE Signal Processing Magazine, 8(4), pp.14-38.
Yadav, V., Jain, A. and Bhargav, L. (2015). Analysis and Comparison of Audio Compression Using Discrete Wavelet Transform. IJARCCE, pp.310-313.