Clustering fetal heart rate tracings by compression

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Costa Santos C (Author) FMUP; Bernardes J (Author) FMUP; Vitanyi PMB (Author) Other; Antunes L (Author) FCUP

Conference proceedings International

Title: 19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS

Pages: 685-690

19th IEEE Symposium on Computer-Based Medical Systems

Salt Lake City, UT, JUN 22-23, 2006

Indexing

ISI Web of Knowledge - 21 Citations

Scopus - 44 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-004-QYM

DOI: 10.1109/CBMS.2006.68

Abstract (EN): Fetal heart rate (FHR) monitoring is widely used regarding the detection of fetuses in danger of death or damage. Thirty one FHR tracings acquired in the antepartum period were clustered by compression in order to identify abnormal ones. A recently introduced approach based on algorithmic information theory was used. The new method can mine patterns in completely different areas, without domain-specific parameters to set, and 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, independently of the technology used.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6