Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation
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| Author: | Fernando Andreotti, Felix Grasser, Hagen Malberg, Sebastian ZaunsederGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-998570 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/99857 |
| ISSN: | 0018-9294OPAC |
| ISSN: | 1558-2531OPAC |
| Parent Title (English): | IEEE Transactions on Biomedical Engineering |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2017 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2022/12/01 |
| Tag: | Biomedical Engineering |
| Volume: | 64 |
| Issue: | 12 |
| First Page: | 2793 |
| Last Page: | 2802 |
| DOI: | https://doi.org/10.1109/tbme.2017.2675543 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Diagnostische Sensorik | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
| Licence (German): |  Deutsches Urheberrecht |
