Putra Wisnu Agung Sucipto, K. Yaqin, M. A. Bakri, S. Supratno, Annisa Firasanti, Eki Ahmad Zaki Hamidi
{"title":"Statistical and Spectral Feature Extraction of Oryzias Celebensis Heart Rate","authors":"Putra Wisnu Agung Sucipto, K. Yaqin, M. A. Bakri, S. Supratno, Annisa Firasanti, Eki Ahmad Zaki Hamidi","doi":"10.1109/TSSA56819.2022.10063878","DOIUrl":null,"url":null,"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.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA56819.2022.10063878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.