High sensitivity experimental QRS detector
| Autor: | Pavol Dolinsky, Linus Michaeli, Imrich Andras, Ján Šaliga |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Normalization (statistics)
Computer science business.industry Low-pass filter 0206 medical engineering Detector 020206 networking & telecommunications Pattern recognition 02 engineering and technology Physics::Data Analysis Statistics and Probability 020601 biomedical engineering Precision rectifier QRS complex symbols.namesake 0202 electrical engineering electronic engineering information engineering symbols Waveform Hilbert transform Artificial intelligence business Signal conditioning |
| Zdroj: | 2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA). |
| DOI: | 10.1109/radioelek.2018.8376373 |
| Popis: | This paper presents an approach to QRS complex detection in ECG signals using Hilbert transform and zero-phase filters to locate the R wave peaks. A newly proposed peak equalization and normalization method is used for signal conditioning prior to the fixed threshold peak detector. The performance of this algorithm is tested using standard ECG waveform records from the MIT-BIH arrhythmia database achieving average sensitivity of 99.95%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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