羊蹄草心率的统计与光谱特征提取

Putra Wisnu Agung Sucipto, K. Yaqin, M. A. Bakri, S. Supratno, Annisa Firasanti, Eki Ahmad Zaki Hamidi
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引用次数: 0

摘要

由于其独特的特性,白米鲷的心率可以在观察水生环境的健康状况中起到重要的作用。不幸的是,由于它的体积很小,扫描这些鱼苗的心率的过程需要复杂的设备工程。本研究的目的是基于统计和光谱两方面提取米草种子的心脏信号特征。我们使用均值、方差、标准差、偏度和峰度五个统计公式提取心率的统计和光谱特征。对于光谱特性,我们从视频视图中出现的颜色强度分析离散傅里叶变换的幅度值。研究结果表明,统计特征的脉冲计算精度达到50%,而使用傅立叶变换的频谱特征的脉冲计算精度仅为0.2%。
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Statistical and Spectral Feature Extraction of Oryzias Celebensis Heart Rate
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.
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