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Analisa Gelombang Elektrokardiogram Pada Pasien Jantung Dengan Menggunakan Metode Jaringan Saraf Tiruan

Physiologically, the heart is one of the most vital organs in the body
compared to other organs. heart disease is preceded by an indication of the work
abnormality that can be observed from the rhythm that occurs. By implementing a
warning system for heart defects, the condition and treatment can be known
quickly. To detect a work abnormality of the heart, it is necessary to know the
work rhythm of the heart itself.
One way to do prevention is early detection using an electrocardiogram
(EKG). EKG is a tool that can detect the electrical activity of the heart. This EKG
displays a formation in the form of a recorded waveform that is drawn on graph
paper. This study aims to analyze the electrocardiogram waves and explain the
information contained in the data. This information can later be used as a
reference for diagnosing the patient's condition. The method used in this research
is the Artificial Neural Network (ANN) method. This method is in the Matlab
software.
Artificial Neural Network (ANN) is a system formed based on the same
working principles as the human brain. The input data are trained to recognize
the target pattern of the ECG signal based on the potential and timing of the ST
segment. The ANN output is analyzed for potential depression or elevation to
identify heart conditions. The results of the identification system test can detect
normal and abnormal heart conditions by looking at the changes in the ST output
segment against the ST segment ECG standard data. The ST segment experienced
a depression (decrease) with an amplitude of 4 mm ≤ x ≤ 0.5 mm and experienced
an elevation (increase) in the amplitude of 1 ≤ x ≤ 4 mm.
Keywords :Heart, electrocardiogram, Artificial Neural Network

Ketersediaan
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Perpustakaan Universitas Riau 10 17. 220 (0029)
10 17. 220 (0029)
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
10 17. 220 (0029)
Penerbit
Pekanbaru : Universitas Riau – Pascasarjana – Tesis Fisika.,
Deskripsi Fisik
xiii, 58 hlm.; ill.: 29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
10 17. 220 (0029)
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
FISIKA
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

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