The need, due to road safety reasons, to constantly monitor the physiological conditions of a driver (stress, concentration, fatigue) as well as the alterations to the comfort state of the driving position in long-haul journey, has led many car manufacturers to focus attention on the development of innovative technologies and methods that include the monitoring of biosignals that can be acquired by the driver himself. The possibility of detecting and processing such a signal in real time was the object of this research, which allowed to produce a technology that exploited the analysis of Heart Rate Variability (HRV), a method widely used in clinical field for the analysis of the autonomic nervous system (ANS) with respect to daily biological rhythm stress, comfort or vigilance. While the conventional cardiac signal acquisition system uses clinical instruments such as the electrocardiograph (ECG), in this study a technique is developed that allows the detection and processing of the pulsation signal at the level of the femoral artery through a sensor placed on the driver's seat. The main advantage consists in having a control in real time by avoiding the application of sensors on the skin. In fact, three fundamental parameters: the heart rate (HR), the interval between beats (RRI) and the typical HRV indices are determined, by using a suitable signal analysis algorithm. The comparison with equivalent values obtained by a conventional ECG device shows a Pearson correlation between 0.35 to and 0.94. This may be of a great help in evaluating thesympathovagal balance.

HRV Analysis Through the Sphygmic Wave Pulsation of the Femoral Artery

Salvati L.;Cappetti N.;d'Amore M.;Pellegrino A.;Sena P.;Villecco F.
2023-01-01

Abstract

The need, due to road safety reasons, to constantly monitor the physiological conditions of a driver (stress, concentration, fatigue) as well as the alterations to the comfort state of the driving position in long-haul journey, has led many car manufacturers to focus attention on the development of innovative technologies and methods that include the monitoring of biosignals that can be acquired by the driver himself. The possibility of detecting and processing such a signal in real time was the object of this research, which allowed to produce a technology that exploited the analysis of Heart Rate Variability (HRV), a method widely used in clinical field for the analysis of the autonomic nervous system (ANS) with respect to daily biological rhythm stress, comfort or vigilance. While the conventional cardiac signal acquisition system uses clinical instruments such as the electrocardiograph (ECG), in this study a technique is developed that allows the detection and processing of the pulsation signal at the level of the femoral artery through a sensor placed on the driver's seat. The main advantage consists in having a control in real time by avoiding the application of sensors on the skin. In fact, three fundamental parameters: the heart rate (HR), the interval between beats (RRI) and the typical HRV indices are determined, by using a suitable signal analysis algorithm. The comparison with equivalent values obtained by a conventional ECG device shows a Pearson correlation between 0.35 to and 0.94. This may be of a great help in evaluating thesympathovagal balance.
978-3-031-15927-5
978-3-031-15928-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4808901
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