Compression and decompressionof biomedical signals
نویسندگان
چکیده
منابع مشابه
Compression and Decompression of Biomedical Signals
In this work, a novel ECG data compression method is presented which employs set partitioning in hierarchical trees algorithm(SPIHT) on two dimensional electrocardiogram(2D-ECG).The 2D ECG is a two dimensioned array, in which each row of this array indicates one or more period and amplitude[7] normalized ECG beats. When SPIHT algorithm is used to compress one or two-dimensional signals separate...
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In this paper the need for employing a data reduction algorithm in using digital graphic systems to display biomedical signals is firstly addressed and then, some such algorithms are compared from different points of view (such as complexity, real time feasibility, etc.). Subsequently, it is concluded that Turning Point algorithm can be a suitable one for real time implementation on a microproc...
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Biomedical signals are a kind of signals that are measured from a specific part of the body, for example from the hearth (electrocardiography: ECG), muscles (electromyography: EMG) and brain (electroencephalography: EEG). This kind of signals have a no-stationary behavior, it means the behavior through the time is changing every time window. For this reason, the pre-processing, processing, and ...
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Previous work in biomedical signal processing area, especially in the area of cardiology indicates that most of the disorders in heart can be completely captured in an Electrocardiogram (ECG) signal and then can be classified using a classifying tool. A pulse signal (Nadi, in Ayurvedic terms) can also extract similar disorders along with the arterial blockages in the body. Similar methodology, ...
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ژورنال
عنوان ژورنال: International Journal on Cybernetics & Informatics
سال: 2016
ISSN: 2320-8430,2277-548X
DOI: 10.5121/ijci.2016.5232