Detection of P Wave During Second-Degree Atrioventricular Block in Ecg Signals

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Detection of P Wave During Second-Degree Atrioventricular Block in Ecg Signals

Popis výsledku v původním jazyce

Automatic detection of P wave during the second-degree AV block is the main condition for automatic detection of this pathology. This work deals with developing of the algorithm for P wave detection. The algorithm is appropriate for ECG signals with AV block as well as signals with other rhythm types (it does not produce false positive P wave detections). For P wave detection, the phasor transform is applied and several innovative rules are created. These rules are based on knowledge of heart manifestation during both physiological and pathological heart function. The proposed algorithm consists of four parts – filtration, QRS complex detection, application of rules, and P wave detection. The accuracy of the P wave detection algorithm is 99.84 % for signals with AV block, and 99.85 % for signals without any pathologies.

Název v anglickém jazyce

Detection of P Wave During Second-Degree Atrioventricular Block in Ecg Signals

Popis výsledku anglicky

Automatic detection of P wave during the second-degree AV block is the main condition for automatic detection of this pathology. This work deals with developing of the algorithm for P wave detection. The algorithm is appropriate for ECG signals with AV block as well as signals with other rhythm types (it does not produce false positive P wave detections). For P wave detection, the phasor transform is applied and several innovative rules are created. These rules are based on knowledge of heart manifestation during both physiological and pathological heart function. The proposed algorithm consists of four parts – filtration, QRS complex detection, application of rules, and P wave detection. The accuracy of the P wave detection algorithm is 99.84 % for signals with AV block, and 99.85 % for signals without any pathologies.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 23st Conference STUDENT EEICT 2017

ISBN

978-80-214-5496-5

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

655-659

Název nakladatele

Vysoké učení technické, Fakulta elektrotechniky a komunikačních technologií

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 4. 2017

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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