Clustering fetal heart rate tracings by compression

Biology – Quantitative Biology – Tissues and Organs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, pdf, 1 figure, Proc. 19th IEEE Intn'l Symp. Computer-Based Medical Systems, 2006, 685-690

Scientific paper

Fetal heart rate (FHR) monitoring, before and during labor, is a very important medical practice in the detection of fetuses in danger. We clustered FHR tracings by compression in order to identify abnormal ones. We use a recently introduced approach based on algorithmic information theory, a theoretical, rigorous and well-studied notion of information content in individual objects. The new method can mine patterns in completely different areas, there are no domain-specific parameters to set, and it does not require specific background knowledge. At the highest level the FHR tracings were clustered according to an unanticipated feature, namely the technology used in signal acquisition. At the lower levels all tracings with abnormal or suspicious patterns were clustered together, independent of the technology used. Moreover, FHR tracings with future poor neonatal outcomes were included in the cluster with other suspicious patterns.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Clustering fetal heart rate tracings by compression does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Clustering fetal heart rate tracings by compression, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Clustering fetal heart rate tracings by compression will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-16168

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.