EEG Signal Compression Based on Adaptive Arithmetic Coding and First-Order Markov Model for an Ambulatory Monitoring System

Author(s):  
Saadat Nasehi ◽  
Hossein Pourghassem
2012 ◽  
Vol 58 (2) ◽  
pp. 228-235 ◽  
Author(s):  
Liang Zhang ◽  
Demin Wang ◽  
Dong Zheng

Author(s):  
Pedro de A. Berger ◽  
Francisco A. de O. Nascimento ◽  
Leonardo R.A.X. de Menezes ◽  
Adson F. da Rocha ◽  
Joao L.A. Carvalho

Digitization of biomedical signals has been used in several areas. Some of these include ambulatory monitoring, phone line transmission, database storage, and several other applications in health and biomedical engineering. These applications have helped in diagnostics, patient care, and remote treatment. One example is the digital transmission of ECG signals, from the patient’s house or ambulance to the hospital. This has been proven useful in cardiac diagnoses. Biomedical signals need to be digitally stored or transmitted with a large number of samples per second, and with a great number of bits per sample, in order to assure the required fidelity of the waveform for visual inspection. Therefore, the use of signal compression techniques is fundamental for cost reduction and technical feasibility of storage and transmission of biomedical signals.


2011 ◽  
Vol 20 (10) ◽  
pp. 104203 ◽  
Author(s):  
Xing-Yuan Wang ◽  
Jiao-Jiao Yun ◽  
Yong-Lei Zhang

2006 ◽  
Vol 126 (12) ◽  
pp. 1223-1229 ◽  
Author(s):  
Hisahide Nakamura ◽  
Koichi Ito ◽  
Tatsuya Suzuki

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