Computational and Mathematical Methods in Medicine

Pregnancy Monitoring


Publishing date
18 Oct 2013
Status
Published
Submission deadline
31 May 2013

Lead Editor

1Signal Processing Systems, Electrical Engineering Department, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands

2School of Science and Engineering, Reykjavik University, Menntavegur 1, 101 Reykjavík, Iceland

3Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, Italy

4Applied Electronics and Information Engineering Department, University Politehnica of Bucharest, Iuliu Maniu 1-3, 060042 Bucharest, Romania

5UMR CNRS 7338 Biomécanique et Bioingénierie, Département de Génie Biologique, Université de Technologie de Compiègne, BP20529, Compiègne Cedex, France


Pregnancy Monitoring

Description

Pregnancy is a critical phase in the life of both a mother and her fetus, with important risks such as fetal distress and preterm delivery. Early assessment of these risks enables timely and effective intervention, which is essential to minimize perinatal mortality and long-term morbidity. Despite strong advances in sensing, patient monitoring, and image analysis techniques, their application in the area of pregnancy monitoring and diagnosis is still hampered by challenges such as movement artifacts, low signal-to-noise ratios, and complex signal interpretation.

There is therefore a strong need for new reliable methods to process and interpret biosignals and images that are measured noninvasively during pregnancy, aimed at enabling timely recognition and assessment of critical risks during pregnancy. This special issue focuses on such methods. Potential topics include, but are not limited to:

  • Analysis of fetal and uterine biopotentials
  • Ultrasound fetal imaging and Doppler analysis
  • Robust signal analysis and feature extraction
  • Analysis methods for distributed and/or multimodal sensing
  • Computational methods for pathophysiological modeling
  • Methods for feature selection and signal classification
  • Clinical studies for validation and feasibility evaluation of the proposed methods

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/preg/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 507613
  • - Editorial

Pregnancy Monitoring

M. Mischi | B. Karlsson | ... | C. Marque
  • Special Issue
  • - Volume 2014
  • - Article ID 239060
  • - Research Article

Fetal ECG Extraction from Abdominal Signals: A Review on Suppression of Fundamental Power Line Interference Component and Its Harmonics

Dragoş-Daniel Ţarălungă | Georgeta-Mihaela Ungureanu | ... | Werner Wolf
  • Special Issue
  • - Volume 2014
  • - Article ID 707581
  • - Research Article

Monitoring Fetal Heart Rate during Pregnancy: Contributions from Advanced Signal Processing and Wearable Technology

Maria G. Signorini | Andrea Fanelli | Giovanni Magenes
  • Special Issue
  • - Volume 2014
  • - Article ID 784862
  • - Research Article

New Estimators and Guidelines for Better Use of Fetal Heart Rate Estimators with Doppler Ultrasound Devices

Iulian Voicu | Sébastien Ménigot | ... | Jean-Marc Girault
  • Special Issue
  • - Volume 2014
  • - Article ID 470786
  • - Research Article

Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions

Yiyao Ye-Lin | Javier Garcia-Casado | ... | Alfredo Perales
  • Special Issue
  • - Volume 2013
  • - Article ID 627976
  • - Research Article

Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study

Hinke de Lau | Chiara Rabotti | ... | S. Guid Oei
  • Special Issue
  • - Volume 2013
  • - Article ID 485684
  • - Research Article

Comparison of Different EHG Feature Selection Methods for the Detection of Preterm Labor

D. Alamedine | M. Khalil | C. Marque
  • Special Issue
  • - Volume 2013
  • - Article ID 152828
  • - Research Article

Coarse-Grained Multifractality Analysis Based on Structure Function Measurements to Discriminate Healthy from Distressed Foetuses

Souad Oudjemia | Amira Zaylaa | ... | Jean-Marc Girault
  • Special Issue
  • - Volume 2013
  • - Article ID 109756
  • - Research Article

Probabilistic Source Separation for Robust Fetal Electrocardiography

Rik Vullings | Massimo Mischi
  • Special Issue
  • - Volume 2013
  • - Article ID 165913
  • - Research Article

Assessment of Parturition with Cervical Light-Induced Fluorescence and Uterine Electromyography

Miha Lucovnik | Ruben J. Kuon | Robert E. Garfield
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate38%
Submission to final decision61 days
Acceptance to publication39 days
CiteScore1.840
Impact Factor1.563
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