title: Parameter extraction of ECG signals in real-time.
abstract: In order for a mobile ECG recorder to be able to classify a heart rhythm online, the significant parameters must be extracted. The relevant parameters are the beginning, peak and end of the QRS-complex, the P- and T-waves, the ST-segment and other significant intervals, such as the RR-interval. The aim of the development was, firstly, stable, real-time-capable QRS detection, which finally achieved values for sensitivity of 98.9% and a positive predictivity of 99.9% on standard ECG databases. Also, a filter-based detection of P- and T-waves was implemented, which can also be performed in real-time on a microcontroller platform.
authors.affiliation: FZI Forschungszentrum Informatik Karlsruhe, Germany.
authors.forename: U
authors.initials: U
authors.lastname: Kunzmann
authors.forename: G
authors.initials: G
authors.lastname: von Wagner
authors.forename: J
authors.initials: J
authors.lastname: Schöchlin
authors.forename: A
authors.initials: A
authors.lastname: Bolz
mesh_terms: D016477:Artifacts; D019992:Databases as Topic; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation*; D006801:Humans; D009862:Online Systems / Q000295:instrumentation*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013686:Telemetry / Q000295:instrumentation*