# Statistical and Spectral Feature Extraction of Oryzias Celebensis Heart Rate
> Agung Sucipto P.W.

URL kanonis: https://discover.unhas.ac.id/publications/statistical-and-spectral-feature-extraction-of-oryzias-celebensis-heart-rate
Jurnal / Konferensi: Proceeding of 2022 16th International Conference on Telecommunication Systems Services and Applications Tssa 2022
Tahun terbit: 2022
DOI: https://doi.org/10.1109/TSSA56819.2022.10063878
Citations: 1

## Authors
- Agung Sucipto P.W.

## Abstract
Due to its unique characteristics, the heart rate of Oryzias Celebensis can play an important role in the observation of the health of the aquatic environment. Unfortunately, due to its tiny size, the process of scanning the heart rate of these fish fry requires sophisticated device engineering. The purpose of this study is to extract cardiac signal characteristics of Oryzias Celebensis seeds based on statistical and spectral aspects. We performed the extraction of statistical and spectral characteristics of heart rate using five statistical formulas namely mean, variance, standard deviation, skewness and kurtosis. As for spectral characteristic, we analyze the magnitude value of the discrete Fourier transformation from the color intensity that appear in the video view. The results of this study showed that statistical characteristic has much better result with 50% accuracy of pulse calculations while spectral characteristic that use fourier transformation only shows 0.2% accuracy.

## Keywords
- Kurtosis
- Skewness
- Standard deviation
- Statistical parameter
- Biological system
- Spectral analysis
- Fourier transform
- Mathematics
- Statistical analysis
- SIGNAL (programming language)
- Computer science
- Statistics
- Pattern recognition (psychology)
- Artificial intelligence
- Physics
- Mathematical analysis
- Biology
- Quantum mechanics
- Programming language
- Spectroscopy

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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