HEART RATE VARIABILITY ANALYSIS ON ELECTROCARDIOGRAM ( ECG SIGNALS) AND THE EFFECT OF AGE ON HEART RATE
Heart disease is one of the deadliest diseases in the world in 2019. Measuring heart rate is the simplest thing to do in diagnosing heart disease. Several things can affect heart rate, including differences in age, sex, and body mass index (BMI). This study aims to analyze the time domain heart r...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74707 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Heart disease is one of the deadliest diseases in the world in 2019. Measuring heart
rate is the simplest thing to do in diagnosing heart disease. Several things can affect
heart rate, including differences in age, sex, and body mass index (BMI). This study
aims to analyze the time domain heart rate variability (HRV) based on the RR
interval in lead I, II, III, aVR, aVL, and aVF and to determine the effect of age,
gender, and BMI on heart rate. Heart rate measurements were carried out using a
portable EKG, namely the KardiaMobile 6L, which was carried out during 30
seconds of recording under resting conditions. This study's subjects were 168, with
five different age groups. Group 1 (4–5 years), group 2 (6–7 years), group 3 (10-
13 years), group 4 (19-30 years) and group 5 (55-75 years). Data from
KardiaMobile 6L will be stored in PDF format. Therefore, it is necessary to
optimize the digitization of the ECG signal. The variations of ?t(s) used in
optimizing the digitization of the ECG signal are 0.0001, 0.0005, 0.001, 0.005, 0.01,
and 0.05. The results of digitizing the ECG signal stated that the minimummaximum difference decreased in the amplitude domain at ?????(s) = 0.005, 0.01, and
0.05.
In the HRV time domain analysis, the variables analyzed were the average of the
RR ± standard deviation intervals and the root mean square of successive
differences (RMSSD) of the RR intervals. There is no difference in the RR interval
values (s) for all leads, namely lead I (0.6997 ± 0.056), lead II (0.6998 ± 0.056),
lead III (0.6998 ± 0.056), aVR (0.6998 ± 0.056), aVL (0.6995 ± 0.057) and aVF
(0.6998 ± 0.056). In the heart rate (bpm) analysis based on age differences, the
values for each group were obtained, namely group 1 (113 ± 10.9), group 2 (106 ±
10.6), group 3 (84 ± 9.2), group 4 (83 ± 9.1) and group 5 (76 ± 7.4). Thus, it can
be concluded that as we get older, the heart rate will decrease. Based on gender
for all age groups, it can be concluded that women's heart rates are not always
higher than men’s. Based on BMI for group 4, having five categories of BMI, it can
be concluded that BMI does not affect subjects' heart rate in resting conditions. |
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