Journal ArticleDOI
EEG data compression techniques
Giuliano Antoniol,Paolo Tonella +1 more
TLDR
Electroencephalograph (EEG) and Holter EEG data compression techniques which allow perfect reconstruction of the recorded waveform from the compressed one are presented and discussed and the adoption of a collapsed Huffman tree for the encoding/decoding operations is shown.Abstract:
Electroencephalograph (EEG) and Holter EEG data compression techniques which allow perfect reconstruction of the recorded waveform from the compressed one are presented and discussed. Data compression permits one to achieve significant reduction in the space required to store signals and in transmission time. The Huffman coding technique in conjunction with derivative computation reaches high compression ratios (on average 49% on Holter and 58% on EEG signals) with low computational complexity. By exploiting this result a simple and fast encoder/decoder scheme capable of real-time performance on a PC was implemented. This simple technique is compared with other predictive transformations, vector quantization, discrete cosine transform (DCT), and repetition count compression methods. Finally, it is shown that the adoption of a collapsed Huffman tree for the encoding/decoding operations allows one to choose the maximum codeword length without significantly affecting the compression ratio. Therefore, low cost commercial microcontrollers and storage devices can be effectively used to store long Holter EEG's in a compressed format.read more
Citations
More filters
Journal ArticleDOI
Wearable electroencephalography. What is it, why is it needed, and what does it entail?
Alexander J. Casson,David C. Yates,Shelagh J.M. Smith,John S. Duncan,Esther Rodriguez-Villegas +4 more
TL;DR: Wearable EEG as mentioned in this paper is a classic noninvasive method for measuring a person's brain waves and is used in a large number of fields: from epilepsy and sleep disorder diagnosis to brain-computer interfaces (BCIs).
Journal Article
Wearable Electroencephalography
TL;DR: The requirements of portable EEG systems are investigated and the core applications of wearable EEG technology are linked, principally new electrode technology and lower power electronics, and the approach for dealing with the electronic power issues is outlined.
Journal ArticleDOI
Compressed Sensing: A Simple Deterministic Measurement Matrix and a Fast Recovery Algorithm
TL;DR: A fast and simple recovery algorithm that performs the proposed thresholding approach in the discrete cosine transform domain is proposed and results show that the proposed measurement matrix has a better performance in terms of reconstruction quality compared with random matrices.
Journal ArticleDOI
Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.
TL;DR: A state-of-the-art, scalable, electrophysiology platform designed for acquisition, compression, encryption, and storage of large-scale data is described that incorporates lossless data compression using range-encoded differences, a 32-bit cyclically redundant checksum to ensure data integrity, and 128-bit encryption for protection of patient information.
Journal ArticleDOI
Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG
Xiaoliang Zhang,Jiali Li,Yugang Liu,Zutao Zhang,Zhuojun Wang,Dianyuan Luo,Xiang Zhou,Miankuan Zhu,Waleed Salman,Guangdi Hu,Chunbai Wang +10 more
TL;DR: The feasibility of the proposed fatigue detection system for high-speed train safety based on monitoring train driver vigilance using a wireless wearable electroencephalograph (EEG) is demonstrated.
References
More filters
Book
Vector Quantization and Signal Compression
Allen Gersho,Robert M. Gray +1 more
TL;DR: The author explains the design and implementation of the Levinson-Durbin Algorithm, which automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing a Quantizer.
Journal ArticleDOI
A universal algorithm for sequential data compression
Jacob Ziv,A. Lempel +1 more
TL;DR: The compression ratio achieved by the proposed universal code uniformly approaches the lower bounds on the compression ratios attainable by block-to-variable codes and variable- to-block codes designed to match a completely specified source.
Book
Digital spectral analysis : with applications
TL;DR: This new book provides a broad perspective of spectral estimation techniques and their implementation concerned with spectral estimation of discretespace sequences derived by sampling continuousspace signals.
Digital spectral analysis with applications
TL;DR: In this article, a broad perspective of spectral estimation techniques and their implementation is provided, focusing on spectral estimation of discretespace sequences derived by sampling continuous space signals, including parametric methods, minimum variance method, eigenanalysis-based estimators, multichannel methods, and twodimensional methods.
Book
Linear Prediction of Speech
John E. Markel,A. Gray +1 more
TL;DR: Speech Analysis and Synthesis Models: Basic Physical Principles, Speech Synthesis Structures, and Considerations in Choice of Analysis.
Related Papers (5)
Context-based lossless and near-lossless compression of EEG signals
N. Memon,Xuan Kong,J. Cinkler +2 more