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A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography

A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography

Sahana Das, Kaushik Roy, Chanchal Kumar Saha
Copyright: © 2017 |Pages: 25
ISBN13: 9781522517856|ISBN10: 1522517855|EISBN13: 9781522517863
DOI: 10.4018/978-1-5225-1785-6.ch018
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MLA

Das, Sahana, et al. "A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography." Handbook of Research on Recent Developments in Intelligent Communication Application, edited by Siddhartha Bhattacharyya, et al., IGI Global, 2017, pp. 471-495. https://doi.org/10.4018/978-1-5225-1785-6.ch018

APA

Das, S., Roy, K., & Saha, C. K. (2017). A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography. In S. Bhattacharyya, N. Das, D. Bhattacharjee, & A. Mukherjee (Eds.), Handbook of Research on Recent Developments in Intelligent Communication Application (pp. 471-495). IGI Global. https://doi.org/10.4018/978-1-5225-1785-6.ch018

Chicago

Das, Sahana, Kaushik Roy, and Chanchal Kumar Saha. "A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography." In Handbook of Research on Recent Developments in Intelligent Communication Application, edited by Siddhartha Bhattacharyya, et al., 471-495. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1785-6.ch018

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Abstract

Real time analysis and interpretation of fetal heart rate (FHR) is the challenge posed to every clinician. Different algorithms had been developed, tried and subsequently incorporated into Cardiotocograph (CTG) machines for automated diagnosis. Feature extraction and accurate detection of baseline and its variability has been the focus of this chapter. Algorithms by Dawes and Redman and Ayres-de-Campos have been discussed in this chapter. The authors are pleased to propose an algorithm for extracting the variability of fetal heart. The algorithm's accuracy and degree of agreement with clinician's diagnosis had been established by various statistical methods. This algorithm has been compared with an algorithm proposed by Nidhal and the new algorithm is found to be better at detecting variability in both ante-partum and intra-partum period.

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