A Study of Feature Extraction Algorithms for ST-Elevation, R/S Amplitude, and T-Wave Inversion to Detect Myocardial Infarction in Electrocardiogram Signals - Dalam bentuk buku karya ilmiah
JUNANDA SAPUTRA WIDYA NUGROHO
Informasi Umum
Kode
25.04.1377
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Tugas Akhir
Dilihat
64 kali
Informasi Lainnya
Abstraksi
Myocardial Infarction (MI) significantly contributes to global mortality, emphasizing the need for early detection. This study evaluates the diagnostic performance of three ECG feature extraction methods: ST-elevation, R/S amplitude, and T-wave inversion. Using the PTB Diagnostic ECG Database, each feature was analyzed independently and in combinations to determine their potential for MI detection. Preprocessing included digital filtering to enhance signal quality. Results indicate that combining ST-elevation and R/S amplitude achieves the highest diagnostic accuracy of 86.92%, with sensitivity, specificity, and F1-score of 90.27%, 73.12%, and 80.18%, respectively. While ST-elevation independently demonstrates strong specificity, feature combinations improve sensitivity and provide a balanced diagnostic outcome. These findings highlight the value of integrating ECG features to overcome limitations of single-feature methods.
Koleksi & Sirkulasi
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Pengarang
| Nama | JUNANDA SAPUTRA WIDYA NUGROHO |
| Jenis | Perorangan |
| Penyunting | Satria Mandala |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
