Literature DB >> 24195701

A PC-aided optical foetal heart rate detection system.

Rami J Oweis1, Hala As'ad, Amany Aldarawsheh, Rawan Al-Khdeirat, Kaldoun Lwissy.   

Abstract

Safe monitoring of foetal heart rate is a valuable tool for the healthy evolution and wellbeing of both foetus and mother. This paper presents a non-invasive optical technique that allows for foetal heart rate detection using a photovoltaic infrared (IR) detector placed on the mother's abdomen. The system presented here consists of a photoplethysmography (PPG) circuit, abdomen circuit and a personal computer equipped with MATLAB. A near IR beam having a wavelength of 880 nm is transmitted through the mother's abdomen and foetal tissue. The received abdominal signal that conveys information pertaining to the mother and foetal heart rate is sensed by a low noise photodetector. The PC receives the signal through the National Instrumentation Data Acquisition Card (NIDAQ). After synchronous detection of the abdominal and finger PPG signals, the designed MATLAB-based software saves, analyses and extracts information related to the foetal heart rate. Extraction is carried out using recursive least squares adaptive filtration. Measurements on eight pregnant women with gestational periods ranging from 35-39 weeks were performed using the proposed system and CTG. Results show a correlation coefficient of 0.978 and a correlation confidence interval between 88-99.6%. The t test results in a p value of 0.034, which is less than 0.05. Low power, low cost, high signal-to-noise ratio, reduction of ambient light effect and ease of use are the main characteristics of the proposed system.

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Year:  2013        PMID: 24195701     DOI: 10.3109/03091902.2013.849299

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  1 in total

1.  A study of a fetal heart rate calculation system based on R-R interval.

Authors:  Yisong Zhang; Song Zhang; Lin Yang; Yimin Yang; Xuwen Li; Dongmei Hao; Mingzhou Xu; Jing Shao
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

  1 in total

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