dc.contributor.author | Abromavičius, Vytautas | |
dc.contributor.author | Serackis, Artūras | |
dc.date.accessioned | 2023-09-18T16:11:48Z | |
dc.date.available | 2023-09-18T16:11:48Z | |
dc.date.issued | 2015 | |
dc.identifier.other | (BIS)VGT02-000030724 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/112270 | |
dc.description.abstract | The algorithm proposed in this paper is designed for robust identification of the heart beat annotations in multimodal data, consisting of ECG signal and one or several continuous arterial blood pressure signals. In case the ECG signal is distorted or unavailable the heart beat annotations are detected in continuous blood pressure signal. The novelty of the proposed solution lays in the adaptation of the algorithm for implementation on a real time system, a weighted estimation of the average RR interval in ECG signal and application of abnormality index estimation algorithm in advance to RR interval estimation from arterial blood pressure signal. The algorithm proposed in this paper reduced the HR estimation error from 6% to 1-2% for various SAI thresholds. For both analysed signal datasets the amount of FP annotations were reduced by our proposed algorithm, especially for the training dataset, where the amount of FP indications was reduced nearly 4 times. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-4 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | IEEE Xplore | |
dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
dc.source.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7119478&filter%3DAND%28p_IS_Number%3A7119473%29 | |
dc.subject | IK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies | |
dc.title | Algorithm for real-time detection of heart rate from noisy ECG signals supported by continuous blood pressure analysis | |
dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
dcterms.references | 14 | |
dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | ECG | |
dc.subject.en | Arterial blood pressure | |
dc.subject.en | Heart rate | |
dc.subject.en | Real time | |
dc.subject.en | Signal abnormality index | |
dcterms.sourcetitle | Electrical, Electronic and Information Sciences (eStream) : proceedings of the 2015 Open conference, 21 April, 2015, Vilnius, Lithuania / Vilnius Gediminas Technical University | |
dc.publisher.name | IEEE | |
dc.publisher.city | New York | |
dc.identifier.doi | 10.1109/eStream.2015.7119478 | |
dc.identifier.elaba | 11572156 | |