The study of the Heart Rate Variability, using autoregressive analysis (AR) during Tilt Test, represents the leading approach to evaluate the sympathetic and vagal balance of the autonomic nervous system [1]. In clinical practice, AR is performed with traditional instrumentations (like GRPSD software) or with apparatuses of new generation like the Task Force Monitor (TFM). GRPSD allows a very accurate step-by-step spectral analysis but the procedure is quite complex; TFM, instead, analyses the ECG signals and presents autoregressive analysis in real time, but it is a “closed system” and it is not possible to verify the procedures performed by the system. To compare the two systems, 9 subjects were submitted to tilt test. AR analysis was performed on 39 different time intervals with both TFM and GRPSD. LF/HF ratios were compared. Concordance was present in the 82% of the cases but a mismatch was found in the remaining 18% probably due to the limitations in the analysis performed by TFM.

Clinical Monitoring of the Tilt-Test: Task Force Monitor (TFM) and Heart Rate Variability (HRV)

MARANGONI, FILIPPO;CORAZZA, IVAN;FRISONI, JESSICA;BACCHI REGGIANI, MARIA LETIZIA;ZANNOLI, ROMANO
2008

Abstract

The study of the Heart Rate Variability, using autoregressive analysis (AR) during Tilt Test, represents the leading approach to evaluate the sympathetic and vagal balance of the autonomic nervous system [1]. In clinical practice, AR is performed with traditional instrumentations (like GRPSD software) or with apparatuses of new generation like the Task Force Monitor (TFM). GRPSD allows a very accurate step-by-step spectral analysis but the procedure is quite complex; TFM, instead, analyses the ECG signals and presents autoregressive analysis in real time, but it is a “closed system” and it is not possible to verify the procedures performed by the system. To compare the two systems, 9 subjects were submitted to tilt test. AR analysis was performed on 39 different time intervals with both TFM and GRPSD. LF/HF ratios were compared. Concordance was present in the 82% of the cases but a mismatch was found in the remaining 18% probably due to the limitations in the analysis performed by TFM.
Computers in Cardiology 2008
961
964
F Marangoni; I Corazza; MC Tozzi; J Frisoni; ML Bacchi; R Zannoli
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/71362
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