Skripsi
PERANCANGAN SISTEM DETEKSI ST-ELEVASI PADA SINYAL EKG MENGGUNAKAN METODE LONG SHORT-TERM MEMORY
The heart signal is taken from the electric current that is generated or called an electrocardiogram. This electrocardiogram is useful for doctors to find out heart defects in patients. One of the heart defects is myocardial Infarction. Myocardial Infarction has symptoms such as fatigue, chest tightness and even death. Myocardial infarction is caused because blood flow to the heart does not flow so that the heart stops beating. ST-elevation is one of the causes of Myocardial Infarction. ST-Elevation comes from the ST segment on the electrocardiogram signal. This ST-elevation can be detected based on the amplitude of the electrocardiogram signal. The ST segment is compared to the PR segment if the ST segment exceeds 0.1mV against the PR segment, it can be said that the ST-elevation in the signal This study uses the Long Short-Term Memory method. The QT Database is the database in this study and only takes the “MIT-BIH ST-Change” database and the “European ST-T” as the focus of ST-Elevation detection. There are 4 class classifications of waves, namely P Wave, Complex QRS, T Wave and No Wave. This study succeeded in conducting the classification stage of the wave class. This method produces 98.595% accuracy, 96.76% sensitivity, 98.63% specificity, 97.03% precision, 96.9% F1-score.
Inventory Code | Barcode | Call Number | Location | Status |
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2107002754 | T40403 | T404032021 | Central Library (REFERENCES) | Available but not for loan - Not for Loan |
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