Biomedical signals analysis techniques using the signal processor TMS320C6211B

Author

Costea, I.M. ; Dumitrescu, C.I. ; Dumitru, N. ; Soare, B.

Author_Institution

Dept. of Telematics & Electron. for Transp., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2014

fDate

7-11 May 2014

Firstpage

327

Lastpage

331

Abstract

The present paper presents the technological solution dedicated to the implementation of the K-complex detection algorithm, from the EEG medical signals, with the help of the TMS320C6211B signal processor, produced by Texas Instruments. This application is based on the host-target system architecture, where the target is the DSK (Digital Starter Kit), which performs realtime processing and is transmitted from the software host on the processing computer. The host software is written in G, Labview programming language, and has the objective of achieving an automated detector for the K complex, derived from the sleep electroencephalogram. The K complex detection automatization must establish a verification criterion and a prediction criterion.

Keywords

electroencephalography; medical signal detection; medical signal processing; programming languages; real-time systems; sleep; DSK; EEG medical signals; G, Labview programming language; K-complex detection algorithm; K-complex detection automatization; TMS320C6211B signal processor; Texas instruments; biomedical signal analysis; digital starter kit; host software; host-target system architecture; processing computer; real-time processing; sleep electroencephalogram; Adaptive filters; Band-pass filters; Electroencephalography; Filtering algorithms; Finite impulse response filters; Least squares approximations; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Technology (ISSE), Proceedings of the 2014 37th International Spring Seminar on

Conference_Location

Dresden

Type

conf

DOI

10.1109/ISSE.2014.6887617

Filename

6887617