Preventive Care in Nursing and Midwifery Journal
Wed, Mar 19, 2025
[Archive]
Volume 9, Issue 3 (11-2019)
PCNM 2019, 9(3): 57-64 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ahmadi L, Rashedin M, Kharaghani R. Assessment of the baseline pattern of fetal heart rate using software algorithms. PCNM 2019; 9 (3) :57-64
URL: http://nmcjournal.zums.ac.ir/article-1-652-en.html
URL: http://nmcjournal.zums.ac.ir/article-1-652-en.html
Associated Professor, Department of Midwifery, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Zanjan, Iran , r.kharaghani@zums.ac.ir
Abstract: (5172 Views)
Background: Currently, fetal heart monitoring is the most widely used primary method for assessing fetal health.
Objectives: The current study intended to investigate the baseline patterns of fetal heart rate using software technology.
Methods: This is a software design study. Medical records of maternal deliveries of Mousavi Hospital in Zanjan were examined using the convenience sampling method and required information were collected and the fetal heart monitoring strips were scanned. The tests were interpreted by three faculty members with a clinical background and related experience in teaching from the Zanjan and Tehran Universite of Medical Sciences. The strips were also interpreted using software designed by computer engineers without knowing the results of the research medical team. The accuracy of the diagnoses made by the software was compared against the diagnosis made by the skilled faculty members.
Results: The mean (standard deviation) of the baseline feat heart rate calculated by the software was 142.06 (10.61) and the mean of the rate calculated by the skilled faculty members was 142.08 (10.77). There was a 95.9% correlation between the baseline calculated by the software and by experts (p<0.001). Besides, 92.1% of the baseline variance calculated by the software was determined by the baseline calculated by the experts (p<0.001). Software's reports on fetal tachycardia had 100% sensitivity and 98.7% specificity and, for fetal bradycardia, reports had 100% sensitivity and 99.7% specificity, compared to the expert's report.
Conclusion: According to the results, the software can be useful for health staff to accurately diagnose the baseline pattern of fetal heart rate and its related disorders.
Objectives: The current study intended to investigate the baseline patterns of fetal heart rate using software technology.
Methods: This is a software design study. Medical records of maternal deliveries of Mousavi Hospital in Zanjan were examined using the convenience sampling method and required information were collected and the fetal heart monitoring strips were scanned. The tests were interpreted by three faculty members with a clinical background and related experience in teaching from the Zanjan and Tehran Universite of Medical Sciences. The strips were also interpreted using software designed by computer engineers without knowing the results of the research medical team. The accuracy of the diagnoses made by the software was compared against the diagnosis made by the skilled faculty members.
Results: The mean (standard deviation) of the baseline feat heart rate calculated by the software was 142.06 (10.61) and the mean of the rate calculated by the skilled faculty members was 142.08 (10.77). There was a 95.9% correlation between the baseline calculated by the software and by experts (p<0.001). Besides, 92.1% of the baseline variance calculated by the software was determined by the baseline calculated by the experts (p<0.001). Software's reports on fetal tachycardia had 100% sensitivity and 98.7% specificity and, for fetal bradycardia, reports had 100% sensitivity and 99.7% specificity, compared to the expert's report.
Conclusion: According to the results, the software can be useful for health staff to accurately diagnose the baseline pattern of fetal heart rate and its related disorders.
Type of Study: Orginal research |
Subject:
Midwifery
Received: 2020/06/10 | Accepted: 2019/11/1 | Published: 2020/05/30
Received: 2020/06/10 | Accepted: 2019/11/1 | Published: 2020/05/30
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
