Sound processing using reconfigurable hardware and wavelets in wearable device application

Authors:
Barleanu Alexandru;Dragos Arotaritei
Affiliations:
Department of Computer Engineering, Technical University "Gh. Asachi", Iasi, Romania;Faculty of Biomedical Engineering, University of Medicine and Pharmacy "Gr. T. Popa", Iasi, Romania
Venue:
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2005

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Abstract

A wearable device based on reconfigurable system using the PsoC mixed-signal controllers is proposed. Lung sound is monitored using a chest microphone from what after a filtering process we extract the information that contribute to four types of lung disease detection. We use the wavelet coefficients in order to extract the patterns that identify the lung disease. Neuro-fuzzy decision system implemented software is used in order to detect and alert the patient. A wireless communication based bluetooth™ chip is used to connect a wearable device to micro server that uses the TCP/IP protocol in order to communicate with the medic. Experimentally results are presented and future research direction is taken into account.