Application of the Artificial Neural Network for blood pressure evaluation with smartphones

Author

Lamonaca, F. ; Barbe, K. ; Kurylyak, Y. ; Grimaldi, D. ; Van Moer, Wendy ; Furfaro, Angelo ; Spagnuolo, Vitaliano

Author_Institution

Dept. of Comput. Sci., Modeling, Electron. & Syst. (DIMES), Univ. of Calabria, Rende, Italy

Volume

01

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

408

Lastpage

412

Abstract

The smartphone is proposed to evaluate the Blood Pressure (BP) anywhere and anytime. The tasks performed by smartphone are (i) extraction of the PhotoPlethysmoGram (PPG) signal from a frame sequence acquired by the integrated camera, and (ii) processing it by Artificial Neural Network for the evaluation of the BP. The PPG signal is evaluated by analyzing the volumetric blood variation of the fingertip on the frame sequence. Successively, parameters characterizing the pulses of the PPG signal are sent to the Fit Forward Neural Network for the simultaneously evaluation of the systolic and the diastolic BP. The validation of the results is performed by comparing them with the ones obtained by the Ambulatory Blood Pressure monitor ABP Spacelabs 90207. Preliminary experimental results show useful information to address the future research devoted to reduce the maximum error.

Keywords

blood pressure measurement; feature extraction; medical signal processing; mobile computing; neural nets; smart phones; ABP Spacelabs 90207; PPG signal extraction; ambulatory blood pressure monitor; artificial neural network; blood pressure evaluation; diastolic BP; fit forward neural network; frame sequence fingertip; integrated camera; photoplethysmogram; smartphones; systolic BP; volumetric blood variation; Artificial neural networks; Biomedical monitoring; Blood pressure; Cameras; Monitoring; Smart phones; Training; blood pressure evaluation; photoplethysmography; smartphone;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662717

Filename

6662717