Similarity_MOBILE PHONE APPLICATION FOR SOMEONE FITNESS MONITORING WITH FAST FOURIER TRANSFORM ALGORITHM

Yudhana, Anton and Anwar, Kaspul (2020) Similarity_MOBILE PHONE APPLICATION FOR SOMEONE FITNESS MONITORING WITH FAST FOURIER TRANSFORM ALGORITHM. Jurnal Ilmiah KURSOR, 10 (3). pp. 129-135. ISSN e-ISSN: 231-6914

Text Similarity_MOBILE PHONE APPLICATION FOR SOMEONE FITNESS MONITORING WITH FAST FOURIER TRANSFORM ALGORITHM.pdf Download (1MB)

Abstract

The development of science and technology besides facilitating human life in various daily activities. These conditions will cause the body to not fit and the emergence of various health problems. Heart rate is one of the parameters that are useful for providing medical information. Heart rate measurement is very important in the medical world and is one of the standards for knowing one's fitness level. ECG is a medical test to detect abnormalities by measuring the electrical activity produced by the heart. ECG recordings are used to determine the condition of a person's fitness level. Heart rate monitoring can be done using Arduino Uno, AD8232, and Pulse Sensor. The results of heartbeat delivery can be seen through the Android application that was created. A person's fitness level data is sent via DataBase which is then forwarded to the Android application. The value range of a person's fitness level is 49-85 BPM for the male category, while for women with a range of values from 54 to 89 BPM. The error value of detection of a person's fitness level with Sensor Pulse and manual is 2.043%, the sensitivity value is 97.63%, the specificity value is 5.82%, and the accuracy value is 50.35%. In addition, ECG waves are also sent to Matlab for extraction using the FFT algorithm.

Item Type:	Artikel Umum
Subjects:	T Technology > T Technology (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	Anton Yudhana,
Date Deposited:	14 Jun 2022 02:59
Last Modified:	14 Jun 2022 02:59
URI:	http://eprints.uad.ac.id/id/eprint/35282

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