Authors:
Theresia Laura da Costa
;
Elsa Alfiatun
;
Risa Kusuma
and
Sari Wulandari
Affiliation:
Department of Biomedical Engineering University of Dian Nuswantoro Semarang, Indonesia
Keyword(s):
Anemia, FCM, Mini Spectrometry, Non-Invasive, PCA.
Abstract:
Anemia is a condition in which the level of hemoglobin (Hb) in the body is reduced. Prolonged anemia can cause heart problems, pregnancy disorders, and even death. According to the 2018 basic health research data, anemia sufferers in Indonesia have increased to 48.9%. to reduce the level of anemia, early detection is needed, but the existing tools are usually invasive, namely using blood samples, which certainly reduces public interest. This study aims to make an efficient non-invasive anemia detection tool as an option in anemia detection. This tool was developed using the working principle of mini spectrometry, which recognizes light sources in mini spectrometry using Near-infrared because the Hb wavelength is within the near-infrared wavelength range. The Hb wavelength is 1700-1725 nm and the near-infrared wavelength is 1000-2500 nm. The Photo-NIR detector is used as a sensor because it can capture signals according to the near-infrared wavelength. The method used in signal proces
sing is the Principal Component Analysis (PCA) method for feature extraction and two feature variations are produced. Furthermore, grouping was carried out using the Fuzzy C Means (FCM) method so as to produce anemic and non-anemic data based on the degree of membership. The results of this study obtained an accuracy of 88%. In conclusion, the non-invasive detection tool succeeded in separating anemic and non-anemic samples. Therefore, a non-invasive detection tool is needed as an option for the detection of anemia.
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