ANALISA DETEKSI GELOMBANG QRS UNTUK MENENTUKAN KELAINAN FUNGSI KERJA JANTUNG
ABSTRACT: Mortality rate
by heart disease
in Indonesia is
up to 26%.
To prevent the
higher of mortality rate
by heart disease,
an early examination
for heart can
be done by
taking the record of
electrocardiograph. The record was analyzed to know the heart rhythm that can
be indication of heart disorder. By applying the warning of heart disorder, the
heart condition and the treatment can be known rapidly.
Electrocardiography record can be done in a short time, i.e. for 5
minutes (short term). Analyzing method in the time domain is the simplest way
to analyze the variation of the heart rate.
Analyzing in the
time domain for
R interval and
the heart rate
can be done
by histogram and statistical
analysis. Measurement method
in the time
domain is divided
into two parts statistically, i.e.
directly measurement for
normal condition in
R interval or the
heart rate include the average value, and the standard deviation.
The wavelet method was used in the QRS detection method in this research.
Wavelet was designed to signal
data processing, data
filtering, thresholding, and
histogram, to acquire the average of QRS wave, and its
deviation standard. The benefit of the wavelet method can obtained the negative
deflection value for Q wave with the amplitude 25% of R wave, R wave obtained positive
deflection with the
amplitude 1,6 –
3 mV, and
negative deflection for S wave
has the amplitude between 0,1 mV up to 0,5 mV.
Penulis: Evrita Lusiana Utari
Kode Jurnal: jptindustridd160041
