CD Skripsi

Rancang Bangun Jaringan Saraf Tiruan Untuk Mendeteksi Kelainan Jantung (Aritmia) Melalui Sinyal Elektrokardiogram Menggunakan Perangkat Raspberry Pi

---

ABSTRACT
Heart health checks are usually done by recording the heart's electrical
signals using an electrocardiogram (EKG). The output of this system is the
electrocardiogram status, namely: ventricular fibrillation, atrial flutter, and atrial
fibrillation plus a normal heart rate for comparison. This system uses an artificial
neural network. Based on experiments using data obtained from the kaggle.com,
the electrocardiogram features in the form of qrs duration, qrs msec, PR interval,
QT interval, and QRST as well as the parameters of age, sex, height, and weight
used as ANN input indicate that the backpropagation method produce the best
performance. This performance is shown with an accuracy of 90%.
Keywords: ventricular fibrillation, atrial flutter, atrial fibrillation, artificial
neural network, qrs duration, qrs msec, P-R interval, Q-T interval.

---

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

1507111532

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2022

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

1507111532

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Daus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar