On-line Monitoring and Analysis of Bioelectrical Signals

• Published in: Procedia computer science Vol. 42; pp. 365 - 371
• Main Authors: Anas, M.N., Norali, A.N., Jun, W.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2014
• Subjects: bioelectrical signals; electrocardiogram; electroencephalogram; electromyogram; measurement system; real-time; electrocardiogram; measurement system; real-time; electromyogram; electroencephalogram; bioelectrical signals
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2014.11.075

On-line signal processing and feature extraction are limited by sophisticated and highly expensive instrumentation. Many clinical instruments as well as research purpose, such as electrocardiogram, electromyogram and encephalogram instrumentation system neglect certain critical of signal parameters, where most of the time, these parameters are critical to be analyzed in real-time to acquire a fast result. Furthermore, the result using conventional devices is relied to the highly trained person which sometimes could lead to the delayed of medical interpreting diagnostic and cause a high risk to the patient. This paper, the real-time application of bioelectrical signal processing and analysis is developed to assist users to get preliminary diagnosing results. The algorithm of these bioelectrical signal measurement systems is developed, which provide better interpretation of signal parameters in certain conditions. The overall system is comprised of hardware, mainly the bioelectrical circuitry as well as software for analysis, data logging and user interfacing. The developed system prototype will be able to monitor and analysis in real-time condition, which could be used for many applications.