The study focuses on the realization of an accurate device for the detection of different physiological parameters. It has been realized a simple portable system containing the necessary electronics and ensuring the monitoring of the blood oxygenation, the body temperature, the air quality, the respiratory rate and the ECG. The main processing unit consists in a Raspberry Pi Zero W connected to the Healthy Pi4. The latter provides the interface for the clinical pulse-oxymeter while the measures of temperature and quality air are provided using the I2C protocol. The Bluetooth module is finally used to provide the ECG and blood rate data. The collected data are elaborated using Matlab and Python. To evaluate the accuracy of the realized device some experimental tests have been conducted on different subjects, comparing subjects working in Covid area with others resting at home. In both cases the monitoring time was 4 hours. Results have shown good performances of the system, detecting accurately the differences of the parameters values between the two situations. The usability of the device was assessed by administering a questionnaire to the healthcare personnel involved in the experimentation. The outcome shows a good usability of the system as well as an acceptable dressing time.

Design of a wearable device for physiological parameter monitoring in a COVID setting / Santis, M De; Barcali, E; Bardacci, Y; Rasero, L; Bambi, S; Bocchi, L. - ELETTRONICO. - (2021), pp. 7352-7355. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) nel 1-5 novembre 2021) [10.1109/EMBC46164.2021.9630379].

Design of a wearable device for physiological parameter monitoring in a COVID setting

Barcali, E
;
Bardacci, Y;Rasero, L;Bambi, S;Bocchi, L
2021

Abstract

The study focuses on the realization of an accurate device for the detection of different physiological parameters. It has been realized a simple portable system containing the necessary electronics and ensuring the monitoring of the blood oxygenation, the body temperature, the air quality, the respiratory rate and the ECG. The main processing unit consists in a Raspberry Pi Zero W connected to the Healthy Pi4. The latter provides the interface for the clinical pulse-oxymeter while the measures of temperature and quality air are provided using the I2C protocol. The Bluetooth module is finally used to provide the ECG and blood rate data. The collected data are elaborated using Matlab and Python. To evaluate the accuracy of the realized device some experimental tests have been conducted on different subjects, comparing subjects working in Covid area with others resting at home. In both cases the monitoring time was 4 hours. Results have shown good performances of the system, detecting accurately the differences of the parameters values between the two situations. The usability of the device was assessed by administering a questionnaire to the healthcare personnel involved in the experimentation. The outcome shows a good usability of the system as well as an acceptable dressing time.
2021
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
1-5 novembre 2021
Santis, M De; Barcali, E; Bardacci, Y; Rasero, L; Bambi, S; Bocchi, L
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1257497
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