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An Application of Modified Filter Algorithm Fetal Electrocardiogram Signals with Various Subjects

Arjon Turnip, Andrian, Mardi Turnip, Abdi Dharma, Debora Paninsari, Tiarnida Nababan, Crismis Novalinda Ginting


Electrocardiogram (ECG) is bio-medical signal processing main theme research focus. This is due to the cause of the massive advance in digital computer that makes automation in detection of several disease by using bio-signals data. Monitoring the fetus heart during labor and pregnancy of the maternal is highly recommended. This process can reduce the risk of the fetus being born later with bad sickness. There are several factors that trammel the ECG result and one of it is the noise from electromyographic (EMG) from electrical maternal muscle activities. The noise could come from the abdominal movement or contractions that cause massive noise that often failed the machine detection accuracy. In this study, a modified filter algorithm is offered to remove the electrical noise from the recorded fetal ECG signals. The results show that the noise was reduced significantly, and the signal become smoother. The experiment was conducted using 3-lead ECG recorder.


Electrocardiogram, Filtering, Extraction, Bio-signal, Annormalities, Accuracy

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