A fetal ECG signal monitoring system using digital signal processor

Park, Y.C.; Cho, B.M.; Kim, N.H.; Kim, W.K.; Park, S.H.; Youn, Dae Hee

doi:10.1109/iscas.1988.15424

Cited by 6 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In spite of the fact that numerous techniques have been proposed and various researches have been conducted in this area, only few researchers try to make standalone device for this purpose [12] [13]. So, unlike ECG monitor, devising a standalone FECG monitor is still under research.…”

Section: Introductionmentioning

confidence: 99%

Prototype of a standalone Fetal ECG monitor

Ayat

Assaleh

Al‐Nashash

2010

2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA)

View full text Add to dashboard Cite

Interpretation of Fetal ECG can show important indications about health and condition of fetus during pregnancy. These indications can help clinicians to cure some diseases and prevent some unwanted problems during labor. However, despite of the rich literature in this field, there is not still a commercial ECG Fetal Monitor which can record Fetal ECG non-invasively during pregnancy. In this paper, we introduce a standalone Fetal ECG monitor based on polynomial classifiers method. This device displays Fetal ECG. In addition, it can calculate Fetal heart rate based on extracted Fetal ECG signal. Assessments of the output results of this device have shown that this device is capable of extracting fetal ECG from two leads and calculating accurate heart rate

show abstract

Section: Introductionmentioning

confidence: 99%

Prototype of a standalone Fetal ECG monitor

Ayat

Assaleh

Al‐Nashash

2010

2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA)

View full text Add to dashboard Cite

show abstract

On detecting the presence of fetal R-wave using the moving averaged magnitude difference algorithm

Park

Lee

Youn

et al. 1992

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

An efficient algorithm detecting the presence of a fetal QRS complex is presented. The proposed fetal QRS detection method computes the averaged magnitude of the difference between the fetal ECG signal and the reference signal to detect the fetal QRS event. The detected fetal QRS complexes are exponentially averaged to generate the template signal which can track the slowly varying shape of the fetal ECG signal. As an effort to obtain improved detection performances, two approaches of normalizing the fetal ECG signal and the template are considered.

show abstract