Electroencephalography applied compression algorithms qualitative analysis

ABSTRACT

The objective of this work is study, implementation and evaluation of compression techniques used in bioelectrical signals, applied to electroencephalography. For that, the fundamental concepts of Fast Walsh Hadamard Transform (FWHT), the Discrete Cosine Transform (DCT) and the Discrete Wavelet Transform (DWT), in essence, the mathematical models were studied. In these systems, the applicability and principles of operation were considered the Peak Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR), Mean Absolute Error (MAE) and mean squared error. Later, it is proposed the implementation of the compression algorithms. For the implementation of the techniques, computational tools of tests were developed, and for the purposes of validation and comparison of the results were used, with the appropriate adaptations, and described in the work, being these among the most recognised in terms of evaluation of signal quality. Finally, we present the results and the conclusions, where we sought a compromise of the implementations between the estimated percentage of DCT and the level of degradation of the signal provided by the compression application. In this sense, it was verified that they presented satisfactory results.

KEYWORDS:

• Compression
• signal
• electroencephalography
• algorithms

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Aratã Andrade Saraiva

Aratã Andrade SaraivaDegree in Marine Engineering. Master Biomedicnt at USP-São Carlos. Professor of computation at the State University of Piaui - Piripiri. Experience in manufacturing of ships and platforms, product developer (software and hardware) hospital and laboratory. Currently developing research on robot controls, computer vision and game development.

Felipe Miranda de Jesus Castro

Felipe Miranda de Jesus CastroUndergraduate in Computer Science at State University of Piaui - Piripiri. Currently developing research on biomedical signal analysal Engineering and computer science applied on genetics.

Renato Conceição Nascimento

Renato Conceição Nascimento Graduate in Computer Science at State University of Piaui - Piripiri. Currently working as a instructor on Happy code

Rodrigo Teixeira de Melo

Rodrigo Teixeira de MeloUndergraduate in Computer Science at State University of Piaui - Piripiri. Currently developing research on robot controls, artificial intelligence and computer vision.

José Vigno Moura Sousa

José Vigno Moura SousaBachelor of Science in Computer Science from the Federal University of Piaui (2006) and MSc in Computer Science from the State University of Ceara (2009). He worked as a network analyst at the Information Technology Company of Ceara, in the implementation of projects: Gigafor, WIMAX Radios, MESH network, among others. Currently, he is a professor at the State University of Piaui (UESPI) and a PhD student in Biomedical Engineering at Universidade Brazil.

Antonio Valente

Antonio ValenteProfessor with aggregation at university of Trás os Montes and Alto Douro (UTAD) and a Research at Institute for System and Computer Engineering. Technology and Science (INESC TEC). Teaching and research activities are focused on sensors, microelectronics and MEMS. Recenly envolved into two mais projects: To develop a soil sensor system to measure soil water content, soil temperature, soil thermal properties, and soil nutrients. Another projects is related to robotics – to organize a micromouse competition in Portugal at UTAD, Vila Real. Actualy teaching microcontroller systems, Instrumentation and sensors, microtechnologies, and Electrical Fundamentals.

Nuno Miguel Fonseca Ferreira

Nuno Miguel Fonseca Ferreira Professor Adjunto, Dept. Electrical Engineering, Institute if Engineering of Coimbra, Polytechnic Institute of Coimbra. Professor of systems control, biosensors and member of the research center GECAD. Brief Biographical History: 1994 concluded the BSc degree in Electrical Engineering, Institute if Engineering of Coimbra, Polytechnic Institute of Coimbra, Portugal. 1996 concluded the Licenciatura degree in Electrical and Computer Engineering, Faculty of Engineering, the University of Porto, Portugal. 1999 concluded the MSc degree in Electrical and Computer Engineering, Faculty of Engineering, the University of Porto, Portugal. 2006 concluded the Ph.D. degree in Electrical Engineering, Faculty of Engineering, the University of Trás-dos-Montes e Alto Douro, Portugal.