intelligent technique of canceling maternal ecg in fecg extraction

نویسندگان

c. kezi selva vijiila

p. kanagasabapathy

چکیده

in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. performance of the proposed method in terms of mean square error, signal to noise ratio is compared with neural network. our results show that this method is a simple and powerful means for the extraction of fecg.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

INTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN FECG EXTRACTION

In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...

متن کامل

Fetal ECG Extraction from Maternal Abdominal ECG Using Neural Network

FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labor. The extraction and detection of the FECG signal from composite maternal abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to ill...

متن کامل

Extraction of Fetal ECG from Maternal ECG using Least Mean Square Algorithm

Vamshadeepa.N Asst. professor, Department of BME, ACSCE, Bangalore [email protected] Priyanka.H.B Student, Department of BME, ACSCE, Bangalore [email protected] Ashwini.V Student, Department of BME, ACSCE, Bangalore [email protected] -----------------------------------------------------------Abstract---------------------------------------------------------------------------...

متن کامل

Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG

Fetal heart rate (FHR) is an important determinant of fetal health. Cardiotocography (CTG) is widely used for measuring the FHR in the clinical field. However, fetal movement and blood flow through the maternal blood vessels can critically influence Doppler ultrasound signals. Moreover, CTG is not suitable for long-term monitoring. Therefore, researchers have been developing algorithms to estim...

متن کامل

A Novel Hybrid Soft Computing Technique for Extracting Fetal ECG from Maternal ECG Signal

The fetal electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the fetus and therefore, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of t...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
iranian journal of fuzzy systems

ناشر: university of sistan and baluchestan

ISSN 1735-0654

دوره 5

شماره 1 2008

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023