Abstract
The uterine electromyogram or electrohysterogram (EHG) is one of the most promising biophysical markers of preterm labor. At this time no recording parameter standard exists for EHG recordings which can be a problem for the establishment of international multicentric trials. In this paper, we present a management and processing system dedicated to storing and processing EHG signals. This system can process EHG signals recorded in different experimental conditions i.e. different sampling frequencies. The signal management is performed using an easy to use graphical user interface. Other available functions include visualization, preprocessing and analysis of EHG signals. The proposed processing functions provide temporal, spectral and time-scale parameters obtained from the EHG bibliography. The obtained results from real signals recorded in two different hospitals in two different countries are in accordance with the literature and demonstrate the potential of the proposed system. The incorporation of new functions is easy, due to a standardization of the EHG data formats.
Original language | English |
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Pages (from-to) | 223-230 |
Number of pages | 8 |
Journal | Computers in Biology and Medicine |
Volume | 40 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2010 |
Bibliographical note
Funding Information:This work was supported by the Icelandic Center for Research RANNIS.
Other keywords
- Data management system
- Preterm labor
- Spectral analysis
- Time-scale analysis
- Uterine electromyogram