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  • Z celé řady metod měření dechové frekvence jsme se zaměřili na méně používanou metodu diagnostiky dechové frekvence, vycházející z hodnocení změn parametrů EKG signálu, které jsou způsobeny změnami objemu hrudníku v průběhu expiria a inspiria. Hlavním důvodem volby této metody byla skutečnost, že pro diagnostiku aktivity autonomního nervového systému (ANS) je monitorován EKG signál, který je tak k dispozici i pro diagnostiku dechové frekvence. Pro návrh optimální metody měření dechové frekvence byly změny parametrů EKG signálu analyzovány metodou spektrální analýzy variability srdeční frekvence (BFrr), metodou spektrální analýzy variability amplitud QRS komplexů (BFqrs) a časovou analýzou periodicity změn amplitud QRS komplexů (BFv). Monitorování EKG signálu a výpočet parametrů EKG signálu, včetně uvedených analýz bylo provedeno systémem VarCor PF6 s modifikovaným programovým vybavením. (cs)
  • From a wide range of methods pertaining to breathing frequency measurement we opted for the less frequented method of breathing frequency diagnosis originating from the assessment of changes in ECG signals parameters pursuant to changes in thoracic volume during expiration and inspiration. The principal reason for selecting this method was in the fact that in the assessment of autonomous nervous system (ANS) activity the ECG signal is monitored and this can also be used for diagnosing breathing frequency. Changes in ECG signal parameters were analysed by the method of spectral analysis of heart rate frequency (BFrr), the method of spectral analysis of variability amplitudes of QRS complexes (BFqrs) and time analysis of periodicity in amplitudes changes of QRS complexes (BFv) in order to suggest the optimal method of measuring breathing frequency. Monitoring the ECG signal and calculation of ECG parameters, including the mentioned analysis, were processed by VarCor PF6 system with a modified programme
  • From a wide range of methods pertaining to breathing frequency measurement we opted for the less frequented method of breathing frequency diagnosis originating from the assessment of changes in ECG signals parameters pursuant to changes in thoracic volume during expiration and inspiration. The principal reason for selecting this method was in the fact that in the assessment of autonomous nervous system (ANS) activity the ECG signal is monitored and this can also be used for diagnosing breathing frequency. Changes in ECG signal parameters were analysed by the method of spectral analysis of heart rate frequency (BFrr), the method of spectral analysis of variability amplitudes of QRS complexes (BFqrs) and time analysis of periodicity in amplitudes changes of QRS complexes (BFv) in order to suggest the optimal method of measuring breathing frequency. Monitoring the ECG signal and calculation of ECG parameters, including the mentioned analysis, were processed by VarCor PF6 system with a modified programme (en)
Title
  • The possibility of the diagnostics of breathing frequency based on an ECG signal
  • The possibility of the diagnostics of breathing frequency based on an ECG signal (en)
  • Možnosti diagnostiky dechové frekvence ze signálu EKG (cs)
skos:prefLabel
  • The possibility of the diagnostics of breathing frequency based on an ECG signal
  • The possibility of the diagnostics of breathing frequency based on an ECG signal (en)
  • Možnosti diagnostiky dechové frekvence ze signálu EKG (cs)
skos:notation
  • RIV/61989592:15510/05:00002436!RIV06-MSM-15510___
http://linked.open...avai/riv/aktivita
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  • Z(MSM6198959221)
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  • 537000
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  • RIV/61989592:15510/05:00002436
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  • QRS complex; ECG signal; breathing frequency; heart rate variability; spectral analysis; autonomous nervous system (en)
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  • [A5AAEE8C9C50]
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  • Olomouc
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  • Univerzita Palackého
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  • Novotný, Jiří
  • Stejskal, Pavel
  • Elfmark, Milan
  • Krejčí, Jakub
  • Salinger, Jiří
  • Štěpaník, Petr
  • Kolisko, Petr
  • Gwozdziewiczová, Simona
http://linked.open...n/vavai/riv/zamer
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  • 15510
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