Methodology development algorithms for processing and analysis of cardiotocograms in labor
To develop and validate a computerised algorithm for the interpretation of the characteristics of the fetal heart rate (FHR) in labour. Materials and methods: A computerised algorithm based on wavelet transform and Fuzzy C-means algorithm was developed to assess baseline, variability, the presence...
| Κύριος συγγραφέας: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
2014
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10889/7638 |
| Περίληψη: | To develop and validate a computerised algorithm for the interpretation of the characteristics of the fetal heart rate (FHR) in labour. Materials and methods: A computerised algorithm based on wavelet transform and
Fuzzy C-means algorithm was developed to assess baseline, variability, the presence
of accelerations and types of decelerations. Twenty four segments of intrapartum
cardiotocographs (CTG) were interpreted using the algorithm and evaluated by
seven expert observers. The results compared to assess inter observer variation and
agreement between the computer and experts.
Results: Inter observer agreement for FHR baseline and the presence and type of
decelerations was good (Interclass correlation coefficient (ICC), 0.93, 0.93 and 0.79
respectively).
Conclusions: The validation of a computerised algorithm is limited by inter observer
variation. The prediction of baseline and decelerations is as good as clinical
observers but is more reproducible. |
|---|
