Wireless Intelligent Systems for Biosignals Monitoring Using Low Cost Devices

Marius Branzila, Valeriu David

Abstract

In this paper we propose a system able to monitor biosignals, to record information on SD card or to send relevant data remotely. This application demonstrates how to develop new wireless intelligent system, to be future used in processing, analyzing and extracting necessary features from biosignals, easily and conveniently. Artificial intelligence improves the biosignals monitoring efficiency and help critical caretakers to speed up a prior diagnose. With LabVIEW and related toolkits, such as the Advanced Signal Processing Toolkit (ASPT) and the Digital Filter Design Toolkit (DFDT), we can conveniently build signal processing applications for both stages(preprocessing and filtering), including baseline wandering removing, noise cancellation, QRS complexes detection, fetal heart rate extraction and etc. We also discuss typical ECG signal processing methods based on LabVIEW and we present the developed improvements for preprocessing and processing ECG signals for QRS complexes, using different function from LabVIEW.

Keywords

LabVIEW, Arduino Uno, low cost, wireless system, intelligent systems

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IMEKO-TC4-2013-080.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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