NDLI: Robust adaptive fetal heart rate estimation for single-channel abdominal ECG recording

Content Provider	IEEE Xplore Digital Library
Author	Guojun Li Xiaoping Zeng Xiaona Zhou Qilie Liu
Copyright Year	2012
Description	Author affiliation: Coll. of Commun. Eng., Chongqing Univ., Chongqing, China (Guojun Li; Xiaoping Zeng) \|\| Chongqing Commun. Inst., Chongqing, China (Xiaona Zhou) \|\| Chongqing Univ. of Posts & Telecomunications, Chongqing, China (Qilie Liu)
Abstract	Although doppler ultrasound is now routinely applied to the detection of fetal heart rate (FHR) for the assessment of perinatal fetal well-being, it is unsuitable for long-term at-home monitoring due to its transmission of ultrasound beam directly to the fetal heart and the requirement of frequent repositioning the ultrasound probe. As a non-invasive diagnostic tool, fetal Electrocardiogram (FECG) recorded on the maternal abdominal wall enables long-term at-home monitoring during both pregnancy and delivery. However, the abdominal FECG possesses a very low signal-to-noise ratio (SNR), in which the maternal ECG (MECG) represents an predominant source of interference. This study focuses on the detection of FHR from abdominal ECG recordings for the application of portable household fetal monitoring. Considering the MECG exhibiting apparently morphological characteristics in time domain, the MECG is first described with a nonlinear dynamical space model. An adaptive strong tracking Kalman filtering algorithm is then proposed to deal with the time-varying impulsive noise like FECG and electromyogram and the nonlinearity of the dynamical model in the approaching of MECG from a single channel abdominal ECG recording. Finally, the FHR can be efficiently obtained by subtracting MECG from the abdominal recoding. Experimental results on both synthetic and realistic abdominal ECG recordings show that the proposed adaptive robust model-based FHR detection method outperforms the other single-channel model-based methods and is suitable for the application of portable at-home FHR monitoring due to its low computational complexity and its simple lead configuration.
Starting Page	587
Ending Page	591
File Size	346470
Page Count	5
File Format	PDF
ISBN	9781467311830
e-ISBN	9781467311847
DOI	10.1109/BMEI.2012.6513193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fetal heart rate (FHR) ECG model Dynamical space model Strong tracking Kalman filter Single Channel
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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