An Application of Modified Filter Algorithm Fetal Electrocardiogram Signals with Various Subjects
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.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.