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Author:

Li, Guangfei (Li, Guangfei.) | Zhang, Song (Zhang, Song.) | Yang, Lin (Yang, Lin.) | Li, Shufang (Li, Shufang.) | Wang, Yan (Wang, Yan.) | Hao, Dongmei (Hao, Dongmei.) | Yang, Yimin (Yang, Yimin.) | Li, Xuwen (Li, Xuwen.) | Zhang, Lei (Zhang, Lei.) | Xu, Mingzhou (Xu, Mingzhou.)

Indexed by:

Scopus SCIE

Abstract:

Non-stress testing (NST) is the primary method of determining fetal condition during the perinatal period, and as such, has high specificity. However, short-term monitoring and visual inspection of the cardiotocogram demonstrates several limitations in understanding fetal status which can be mistaken as predictors of neonatal asphyxia. Fetal electrocardiography (FECG) is a novel, long-term monitoring method which can reflect more objective and accurate fetal information. This article presents experimental results of four fetal heart rate (FHR) acceleration features of 44 fetuses extracted from FECG. The novelty of this approach lies in its combined use of parameters which can express both duration and amplitude of heart rate acceleration. Results demonstrate that most parameters significantly differ between normal fetuses and fetuses with suspected abnormalities. Results are promising for the identification of a set or parameters which may be used as classifiers to improve the success rate when distinguishing between normal and abnormal fetuses.

Keyword:

gestational age acceleration Fetal heart rate FECG

Author Community:

  • [ 1 ] [Li, Guangfei]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 2 ] [Zhang, Song]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 3 ] [Yang, Lin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 4 ] [Hao, Dongmei]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 5 ] [Yang, Yimin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 6 ] [Li, Xuwen]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
  • [ 7 ] [Li, Shufang]Peking Univ, Hosp 3, Obstet & Gynecol, Beijing, Peoples R China
  • [ 8 ] [Wang, Yan]Peking Univ, Hosp 3, Obstet & Gynecol, Beijing, Peoples R China
  • [ 9 ] [Zhang, Lei]Beijing Yes Med Devices Co Ltd, Beijing, Peoples R China
  • [ 10 ] [Xu, Mingzhou]Beijing Aerosp Changfeng Co Ltd, Beijing, Peoples R China

Reprint Author's Address:

  • [Yang, Lin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China

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Related Keywords:

Source :

Computer Assisted Surgery

ISSN: 2469-9322

Year: 2016

Volume: 21

Page: 1-5

2 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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