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Real time algorithm for the portable recording of fetal and maternal heart rates

A PIC17C44 microcontroller development board and a real-time algorithm were developed with the capability of monitoring the fetal heart rate (FHR) as well as recording both the FHR and maternal heart rate (MHR) for 24 hours. This paper describes the implementation of the real-time algorithm by using...

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Main Authors:	Ahmed Firoz, Ali M.Alauddin Mohd, Zahedi Edmond
Other Authors:	7202460653
Format:	Conference paper
Published:	2023
Subjects:	Algorithms Data recording Fetal monitoring Microelectrodes Real time systems Signal processing Abdominal electrocardiogram (AECG) Fetal heart rates Microcontrollers
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id	my.uniten.dspace-29892
record_format	dspace
spelling	my.uniten.dspace-298922023-12-28T16:58:06Z Real time algorithm for the portable recording of fetal and maternal heart rates Ahmed Firoz Ali M.Alauddin Mohd Zahedi Edmond 7202460653 6507416666 6603591267 Algorithms Data recording Fetal monitoring Microelectrodes Real time systems Signal processing Abdominal electrocardiogram (AECG) Fetal heart rates Microcontrollers A PIC17C44 microcontroller development board and a real-time algorithm were developed with the capability of monitoring the fetal heart rate (FHR) as well as recording both the FHR and maternal heart rate (MHR) for 24 hours. This paper describes the implementation of the real-time algorithm by using the development board which is used to develop the portable recorder. The signal processing algorithm processes the abdominal electrocardiogram (AECG) signal which is sensed via a single pair of electrodes and continuously detect both the fetal and maternal QRS complexes for the measurement of the heart rates. The algorithm detects the MECG complexes and removes these from the AECG signal for enhancing the fetal QRS complexes. The average performance of the algorithm is 70%. It is based upon digital analysis of slope, amplitude and width of the signal. It automatically adjusts thresholds and parameters to adapt to such ECG changes as the QRS morphology and heart rates. The results acquired by the developed algorithm are also here. Final 2023-12-28T08:58:06Z 2023-12-28T08:58:06Z 2000 Conference paper 2-s2.0-0034427992 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034427992&partnerID=40&md5=e8e7ad46467283aec4763fa8846048b5 https://irepository.uniten.edu.my/handle/123456789/29892 1 I 246 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Algorithms Data recording Fetal monitoring Microelectrodes Real time systems Signal processing Abdominal electrocardiogram (AECG) Fetal heart rates Microcontrollers
spellingShingle	Algorithms Data recording Fetal monitoring Microelectrodes Real time systems Signal processing Abdominal electrocardiogram (AECG) Fetal heart rates Microcontrollers Ahmed Firoz Ali M.Alauddin Mohd Zahedi Edmond Real time algorithm for the portable recording of fetal and maternal heart rates
description	A PIC17C44 microcontroller development board and a real-time algorithm were developed with the capability of monitoring the fetal heart rate (FHR) as well as recording both the FHR and maternal heart rate (MHR) for 24 hours. This paper describes the implementation of the real-time algorithm by using the development board which is used to develop the portable recorder. The signal processing algorithm processes the abdominal electrocardiogram (AECG) signal which is sensed via a single pair of electrodes and continuously detect both the fetal and maternal QRS complexes for the measurement of the heart rates. The algorithm detects the MECG complexes and removes these from the AECG signal for enhancing the fetal QRS complexes. The average performance of the algorithm is 70%. It is based upon digital analysis of slope, amplitude and width of the signal. It automatically adjusts thresholds and parameters to adapt to such ECG changes as the QRS morphology and heart rates. The results acquired by the developed algorithm are also here.
author2	7202460653
author_facet	7202460653 Ahmed Firoz Ali M.Alauddin Mohd Zahedi Edmond
format	Conference paper
author	Ahmed Firoz Ali M.Alauddin Mohd Zahedi Edmond
author_sort	Ahmed Firoz
title	Real time algorithm for the portable recording of fetal and maternal heart rates
title_short	Real time algorithm for the portable recording of fetal and maternal heart rates
title_full	Real time algorithm for the portable recording of fetal and maternal heart rates
title_fullStr	Real time algorithm for the portable recording of fetal and maternal heart rates
title_full_unstemmed	Real time algorithm for the portable recording of fetal and maternal heart rates
title_sort	real time algorithm for the portable recording of fetal and maternal heart rates
publishDate	2023
_version_	1806427867898183680
score	13.222552

Real time algorithm for the portable recording of fetal and maternal heart rates

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