J Gerald Quirk
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Explore the profile of J Gerald Quirk including associated specialties, affiliations and a list of published articles.
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Articles
27
Citations
139
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Recent Articles
1.
Feng G, Heiselman C, Quirk J, Djuric P
Front Bioeng Biotechnol
. 2023 Jan;
10:1057807.
PMID: 36714626
During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). This is the most widely adopted approach for electronic fetal monitoring in hospitals....
2.
Chen T, Feng G, Heiselman C, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2022 Aug;
2022.
PMID: 36035505
Low umbilical artery pH is a marker for neonatal acidosis and is associated with an increased risk for neonatal complications. The phase-rectified signal averaging (PRSA) features have demonstrated superior discriminatory...
3.
Yang L, Heiselman C, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2022 Aug;
2022.
PMID: 36035504
The computer-aided interpretation of fetal heart rate (FHR) and uterine contraction (UC) has not been developed well enough for wide use in delivery rooms. The main challenges still lie in...
4.
Ajirak M, Heiselman C, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2022 Aug;
2022:1316-1320.
PMID: 35990520
During the process of childbirth, fetal distress caused by hypoxia can lead to various abnormalities. Cardiotocography (CTG), which consists of continuous recording of the fetal heart rate (FHR) and uterine...
5.
Yang L, Ajirak M, Heiselman C, Quirk J, Djuric P
Proc Eur Signal Process Conf EUSIPCO
. 2022 Mar;
2021:1321-1325.
PMID: 35233348
Detection of anomalies in time series is still a challenging problem. In this paper, we provide a new approach to unsupervised detection of anomalies in time series based on the...
6.
Yang L, Heiselman C, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2021 Oct;
2021.
PMID: 34712104
Classification with imbalanced data is a common and challenging problem in many practical machine learning problems. Ensemble learning is a popular solution where the results from multiple base classifiers are...
7.
Yang L, Heiselman C, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2021 Oct;
2021.
PMID: 34712103
Identifying uterine contractions with the aid of machine learning methods is necessary vis-á-vis their use in combination with fetal heart rates and other clinical data for the assessment of a...
8.
Yu K, Quirk J, Djuric P
Proc IEEE Int Conf Acoust Speech Signal Process
. 2021 Feb;
2017:876-880.
PMID: 33613124
In this paper, we propose an application of non-parametric Bayesian (NPB) models to classification of fetal heart rate recordings. More specifically, the models are used to discriminate between fetal heart...
9.
Feng G, Quirk J, Heiselman C, Djuric P
Proc Eur Signal Process Conf EUSIPCO
. 2021 Feb;
2020:1080-1084.
PMID: 33604248
During labor, fetal heart rate (FHR) is monitored externally using Doppler ultrasound. This is done continuously, but for various reasons (e.g., fetal or maternal movements) the system does not record...
10.
Feng G, Quirk J, Djuric P
Int Workshop Comput Adv Multisens Adapt Process
. 2021 Feb;
2019:381-385.
PMID: 33554226
During labor, fetal heart rate (FHR) and uterine activity (UA) are continuously monitored with Cardiotocography (CTG). The FHR and UA signals are visually inspected by obstetricians to assess the fetal...