diplomsko delo
Blaž Merela (Avtor), Franc Jager (Mentor)

Povzetek

Odkrivanje kompleksov QRS elektrokardiograma

Ključne besede

računalniška elektrokardiografija;QRS detektor;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [B. Merela]
UDK: 004.9(043.2)
COBISS: 10352212 Povezava se bo odprla v novem oknu
Št. ogledov: 40
Št. prenosov: 3
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: QRS complex detection of electrocardiogram
Sekundarni povzetek: Electrocardiography is amongst the basic and relatively accessible examinations in cardiology. One of the key tasks of electrocardiography is accurately detecting each heart beat or the so-called QRS complex, the most recognizable electrocardiogram section. In thesis we have first presented automated QRS complex detection as a principal process in the automatic electrocardiogram analysis, and afterwards implemented, as well as improved upon, two QRS complex detectors. We have evaluated both detectors on two standard databases of annotated electrocardiograms, namely the MIT-BIH DB arrythmia database and the LTST DB database, as well as on the selected, challenging electrocardiograms. With the first detector we have achieved 96.09 % sensitivity with 99.57 % positive predictive value on MIT-BIH DB arrythmia database, and 94.90 % sensitivity with 99.30% positive predictive value on the LTST DB database. With our implementation of the second detector, presented at last year’s Engineering in Medicine & Biology Society conference, we have reached to 99.81 % sensitivity with 99.90 % positive predictive value on the MIT-BIH DB arrythmia database, and to 99.96 % sensitivity with 99.89 % positive predictive value on the LTST DB database.
Sekundarne ključne besede: computerized electrocardiography;QRS detector;computer science;computer and information science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 69 str.
ID: 24190754
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