Detection and Processing Techniques of FECG Signal for Fetal Monitoring

被引:101
作者
Hasan, M. A.
Reaz, M. B. I.
Ibrahimy, M. I.
Hussain, M. S.
Uddin, J.
机构
[1] Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak
[2] Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi
关键词
ECG; MECG; FECG; FHR; QRS complex; FPGA; MATERNAL ECG; AUTO-CORRELATION; ELECTROCARDIOGRAM; EXTRACTION; SEPARATION; ELIMINATION; SYSTEM;
D O I
10.1007/s12575-009-9006-z
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies are becoming very important requirements in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature for fetal monitoring. A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. Finally, this paper further focused some of the hardware implementations using electrical signals for monitoring the fetal heart rate. This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system.
引用
收藏
页码:263 / 295
页数:33
相关论文
共 96 条
[1]   SPECTRAL-ANALYSIS OF THE FETAL ELECTROCARDIOGRAM [J].
ABBOUD, S ;
SADEH, D .
COMPUTERS IN BIOLOGY AND MEDICINE, 1989, 19 (06) :409-415
[2]  
*AM COLL OBST GYN, 2001, FET HEART RAT MON LA
[3]  
Azad KAK, 2000, P IEEE NORD SIGN PRO, P275
[4]   Extraction of specific signals with temporal structure [J].
Barros, AK ;
Cichocki, A .
NEURAL COMPUTATION, 2001, 13 (09) :1995-2003
[5]   REAL-TIME PROCESSING AND ANALYSIS OF FETAL PHONOCARDIOGRAPHIC SIGNALS [J].
BASSIL, HE ;
DRIPPS, JH .
CLINICAL PHYSICS AND PHYSIOLOGICAL MEASUREMENT, 1989, 10 :67-74
[6]   REAL-TIME FETAL ECG RECORDING [J].
BERGVELD, P ;
KOLLING, AJ ;
PEUSCHER, JHJ .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1986, 33 (05) :505-509
[7]  
BURGHOFF M, 2004, NEUROL CLIN NEUROPHY, P1
[8]   COMPARISON OF SVD METHODS TO EXTRACT THE FETAL ELECTROCARDIOGRAM FROM CUTANEOUS ELECTRODE SIGNALS [J].
CALLAERTS, D ;
DEMOOR, B ;
VANDEWALLE, J ;
SANSEN, W ;
VANTRAPPEN, G ;
JANSSENS, J .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1990, 28 (03) :217-224
[9]   Fetal ECG extraction using an FIR neural network [J].
Camps, G ;
Martínez, M ;
Soria, E .
COMPUTERS IN CARDIOLOGY 2001, VOL 28, 2001, 28 :249-252
[10]   Foetal ECG recovery using dynamic neural networks [J].
Camps-Valls, G ;
Martínez-Sober, M ;
Soria-Olivas, E ;
Magdalena-Benedito, R ;
Calpe-Maravilla, J ;
Guerrero-Martínez, J .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2004, 31 (03) :197-209