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https://olympias.lib.uoi.gr/jspui/handle/123456789/13595Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Karvounis, E. C. | en |
| dc.contributor.author | Tsipouras, M. G. | en |
| dc.contributor.author | Fotiadis, D. I. | en |
| dc.contributor.author | Naka, K. K. | en |
| dc.date.accessioned | 2015-11-24T17:31:31Z | - |
| dc.date.available | 2015-11-24T17:31:31Z | - |
| dc.identifier.issn | 1089-7771 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/13595 | - |
| dc.rights | Default Licence | - |
| dc.subject | abdominal electrocardiogram (abdecg) | en |
| dc.subject | fetal electrocardiogram (fecg) | en |
| dc.subject | fetal heart rate (mr) | en |
| dc.subject | time-frequency (t-f) analysis | en |
| dc.subject | singular-value decomposition | en |
| dc.subject | source separation | en |
| dc.subject | ecg extraction | en |
| dc.subject | algorithm | en |
| dc.subject | signal | en |
| dc.subject | networks | en |
| dc.title | An automated methodology for fetal heart rate extraction from the abdominal electrocardiogram | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | Doi 10.1109/Titb.2006.888698 | - |
| heal.identifier.secondary | <Go to ISI>://000250929100004 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών | el |
| heal.publicationDate | 2007 | - |
| heal.abstract | This paper introduces an automated methodology for the extraction of fetal heart rate from cutaneous potential abdominal electrocardiogram (abdECG) recordings. A three-stage methodology is proposed. Having the initial recording, which consists of a small number of abdECG leads in the first stage, the maternal R-peaks and fiducial points (QRS onset and offset) are detected using time-frequency (t-f) analysis and medical knowledge. Then, the maternal QRS complexes are eliminated. In the second stage, the positions of the candidate fetal R-peaks are located using complex wavelets and matching theory techniques. In the third stage, the fetal R-peaks, which overlap with the maternal QRS complexes (eliminated in the first stage) are found using two approaches: a heuristic algorithm technique and a histogram-based technique. The fetal R-peaks detected are used to calculate the fetal heart rate. The methodology is validated using a dataset of eight short and ten long-duration recordings, obtained between the 20th and the 41st week of gestation, and the obtained accuracy is 97.47%. The proposed methodology is advantageous, since it is based on the analysis of few abdominal leads in contrast to other proposed methods, which need a large number of leads. | en |
| heal.journalName | Ieee Transactions on Information Technology in Biomedicine | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fotiadis-2007-an automated methodology.pdf | 796.35 kB | Adobe PDF | View/Open Request a copy |
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