Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification

نویسندگان

  • Angela Agostinelli
  • Ilaria Marcantoni
  • Elisa Moretti
  • Agnese Sbrollini
  • Sandro Fioretti
  • Francesco Di Nardo
  • Laura Burattini
چکیده

BACKGROUND Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal heart-rate evaluations and subsequent processing procedures) is challenging. Some fetal studies have applied the Pan-Tompkins' algorithm that, however, was originally designed for adult applications. Thus, this work evaluated the Pan-Tompkins' algorithm suitability for fetal applications, and proposed fetal adjustments and optimizations to improve it. METHOD Both Pan-Tompkins' algorithm and its improved version were applied to the "Abdominal and Direct Fetal Electrocardiogram Database" and to the "Noninvasive Fetal Electrocardiography Database" of Physionet. R-peak detection accuracy was quantified by computation of positive-predictive value, sensitivity and F1 score. RESULTS When applied to "Abdominal and Direct Fetal Electrocardiogram Database", the accuracy of the improved fetal Pan-Tompkins' algorithm was significantly higher than the standard (positive-predictive value: 0.94 vs. 0.79; sensitivity: 0.95 vs. 0.80; F1 score: 0.94 vs. 0.79; P<0.05 in all cases) on indirect fetal electrocardiograms, whereas both methods performed similarly on direct fetal electrocardiograms (positive-predictive value, sensitivity and F1 score all close to 1). Improved fetal Pan-Tompkins' algorithm was found to be superior to the standard also when applied to "Noninvasive Fetal Electrocardiography Database" (positive-predictive value: 0.68 vs. 0.55, P<0.05; sensitivity: 0.56 vs. 0.46, P=0.23; F1 score: 0.60 vs. 0.47, P=0.11). CONCLUSION In indirect fetal electrocardiographic applications, improved fetal Pan-Tompkins' algorithm is to be preferred over the standard, since it provides higher R-peak detection accuracy for heart-rate evaluations and subsequent processing.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A PCA/ICA based Fetal ECG Extraction from Mother Abdominal Recordings by Means of a Novel Data-driven Approach to Fetal ECG Quality Assessment

Background: Fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. By early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant.Objective: Here, we extract fetal ECG from maternal abdominal recordings and detect R-peaks in order to recognize fetal heart rate. On the next step, we find a be...

متن کامل

Noninvasive Fetal Electrocardiography Part II: Segmented-Beat Modulation Method for Signal Denoising

BACKGROUND Fetal well-being evaluation may be accomplished by monitoring cardiac activity through fetal electrocardiography. Direct fetal electrocardiography (acquired through scalp electrodes) is the gold standard but its invasiveness limits its clinical applicability. Instead, clinical use of indirect fetal electrocardiography (acquired through abdominal electrodes) is limited by its poor sig...

متن کامل

Fetal ECG Extraction for Fetal Monitoring Using SWRLS Adaptive Filter

Fetal electrocardiogram (Fetal ECG) extraction is an interesting as well as a difficult problem in signal processing. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. Identification of these cases during early pregnancy reduces risks by timely treatment or planned delivery. This paper presents simulation results of fetal ECG sig...

متن کامل

Realtime Detection of ECG Signal R-peaks Using a Lightweight R- READER Algorithm

The accurate identification of the R-peak of an electrocardiogram (ECG) cycle is the first step towards automated classification of the cycle. In this paper we present a lightweight algorithm, known as R-READER: a Rapid-Ramp Effective Algorithm for Detection of ECG R-peaks. It is based on an intuitive and effective identification of inflexion points in the ECG cycle through the calculation of a...

متن کامل

Hardware Prototyping of Neural Network based Fetal Electrocardiogram Extraction

The aim of this paper is to model the algorithm for Fetal ECG (FECG) extraction from composite abdominal ECG (AECG) using VHDL (Very High Speed Integrated Circuit Hardware Description Language) for FPGA (Field Programmable Gate Array) implementation. Artificial Neural Network that provides efficient and effective ways of separating FECG signal from composite AECG signal has been designed. The p...

متن کامل

ذخیره در منابع من


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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2017