Development of new research software for real-time raw electroencephalogram analysis

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Correia, R (Author) Other; Joaquim Gabriel Magalhães Mendes (Author) FEUP; Bras, S (Author) Other; Silva, A (Author) Other; Ferreira, DA (Author) Other

Conference proceedings International

Title: 2014 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA)

Pages: 200-204

9th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA)

Lisbon, PORTUGAL, JUN 11-12, 2014

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-009-VBY

DOI: 10.1109/memea.2014.6860057

Abstract (EN): This work purposes a tool that automatically analyses biomedical signals by applying pre-defined mathematic formulas and algorithms. This tool was developed for allowing a faster EEG signal processing towards the development of an index for monitoring depth of anesthesia in animals, and was tested with preliminary data from 8 dogs. This software automatically synchronizes the EEG signal with the time frames and clinical events desired, and automatically applies the mathematical formulas pre-defined by the operator, displaying the results of the signal processing in real-time. This allows the operator to switch between different EEG algorithms analysis in real-time, and select the algorithm that best fits the stage of anesthesia at each moment. During the development of this software application it was created a color scheme using five different colors based on five different clinical depth of anesthesia planes. This color scheme was linked to a composite permutation entropy index (CPEI) value, allowing a direct correlation between different levels of anesthesia depth and the color grading scale. Although this software was only used for EEG data analysis, it has the potential of being used for analyze other biological signals in real time.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5