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产时监测中的智能胎儿心率计算机系统

Intelligent fetal heart rate computer systems in intrapartum surveillance.

作者信息

Greene K R

机构信息

Perinatal Research Group, Postgraduate Medical School, Derriford Hospital, Plymouth, Devon, UK.

出版信息

Curr Opin Obstet Gynecol. 1996 Apr;8(2):123-7.

PMID:8734128
Abstract

The intrapartum cardiotocogram has had a disappointing impact on clinical practice. Misinterpretation of the cardiotocogram not only causes an increase in unnecessary intervention but is also implicated in a large proportion of patients with birth asphyxia and avoidable perinatal morbidity. Over the past 10-20 years, groups have attempted to develop computer systems capable of analysing the cardiotocogram but with limited success. The likely explanation is that these conventional systems analyse the cardiotocogram in isolation from clinical factors. More recently, research has focused on the use of artificial intelligence techniques which can assess the whole clinical picture to support clinical decision making during labour. The current literature is reviewed and a system that has been validated by comparison of its performance with 17 experts is described.

摘要

产时胎心监护图对临床实践的影响令人失望。对胎心监护图的误判不仅会导致不必要的干预增加,还与很大一部分出生窒息和可避免的围产期发病率患者有关。在过去的10到20年里,一些团队试图开发能够分析胎心监护图的计算机系统,但成效有限。可能的解释是,这些传统系统在分析胎心监护图时没有考虑临床因素。最近,研究集中在使用人工智能技术,该技术可以评估整个临床情况,以支持分娩期间的临床决策。本文对当前文献进行了综述,并描述了一个通过与17位专家的表现进行比较而得到验证的系统。

相似文献

1
Intelligent fetal heart rate computer systems in intrapartum surveillance.产时监测中的智能胎儿心率计算机系统
Curr Opin Obstet Gynecol. 1996 Apr;8(2):123-7.
2
[Computer-assisted cardiotocogram analysis--from descriptive to perinatal expert system].
Zentralbl Gynakol. 2000;122(6):328-33.
3
Intrapartum electronic fetal heart rate monitoring and the prevention of perinatal brain injury.产时电子胎心监护与围产期脑损伤的预防
Obstet Gynecol. 2006 Sep;108(3 Pt 1):656-66. doi: 10.1097/01.AOG.0000230533.62760.ef.
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[Birth asphyxia and hypoxic ischemic encephalopathy, incidence and obstetric risk factors].[出生窒息与缺氧缺血性脑病、发病率及产科危险因素]
Laeknabladid. 2007 Sep;93(9):595-601.
5
Preliminary evaluation of an intelligent system for the management of labour.
J Perinat Med. 1994;22(4):345-50.
6
Computerized fetal heart rate analysis and neural networks in antepartum fetal surveillance.产前胎儿监护中的计算机化胎儿心率分析与神经网络
Curr Opin Obstet Gynecol. 1996 Apr;8(2):119-22.
7
Electronic fetal heart rate monitoring: where are we now?电子胎儿心率监测:我们目前处于什么状况?
J Perinat Neonatal Nurs. 2011 Apr-Jun;25(2):180-92; quiz 193-4. doi: 10.1097/JPN.0b013e31821643c6.
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[The medico-legal value of monitoring of the fetal heart rate during labor].[分娩期间胎儿心率监测的法医学价值]
J Gynecol Obstet Biol Reprod (Paris). 1997;26(6):561-6; discussion 647-8.
9
Agreement on cardiotocogram interpretation and clinical decision using the STAN guidelines.关于使用STAN指南进行胎心监护图解读及临床决策的共识
BJOG. 2009 Oct;116(11):1540-1; author reply 1541-2. doi: 10.1111/j.1471-0528.2009.02302.x.
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Inter- and intra-observer agreement of intrapartum ST analysis of the fetal electrocardiogram in women monitored by STAN.使用STAN监测的女性产时胎儿心电图ST段分析的观察者间和观察者内一致性
BJOG. 2009 Mar;116(4):545-51. doi: 10.1111/j.1471-0528.2008.02092.x.

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Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.迈向深度妊娠表型研究:改善妊娠结局的人工智能和机器学习方法的系统评价。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbaa369.
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Use of the Internet and information technology for surgeons and surgical research.互联网和信息技术在外科医生及外科研究中的应用。
Ann R Coll Surg Engl. 2002 Sep;84(5):352-6. doi: 10.1308/003588402760452510.