Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform
نویسندگان
چکیده
منابع مشابه
Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform
Body surface potential mapping (BSPM) is used to detect real diagnostic information about the myocardium state more than the standard 12-lead electrocardiogram (ECG). The present research introduces a practical solution for recording body surface potential maps using the standard 12-lead ECG with different positions. It is called pseudo BSPM where all channels were not read out simultaneously. ...
متن کاملFast Surface Interpolation using Multiresolution Wavelet Transform
AbslructDiscrete formulation of the surface interpolation problem usually leads to a large sparse linear equation system. Due to the poor convergence condition of the equation system, the convergence rate of solving this problem with iterative method is very slow. To improve this condition, a multiresolution basis transfer scheme based on the wavelet transform is proposed. By applying the wavel...
متن کاملCompression of Pseudo-periodic Signals Using 2D Wavelet Transform
An improved method to compress of pseudo-periodic 1-dimensional signals like voiced speech, music, ECG etc is suggested. The pitch synchronous property of such signals is utilized to increase the efficiency of compression, to minimize losses and thus to enhance the quality of the reconstruction. Results show higher signal to noise ratio, higher compression ratio and lower percentage distortion ...
متن کاملBody Surface Potential Mapping Data Conversion Method
Abstract. In body surface potential mapping, data conversion can be required whenever merging data sets taken by slightly different data acquisition systems. In this case, we face with a kind of conversion problem. This paper describes a method for solving the problem according to the least-square principle, so the datasets of physically different body surface potential mapping systems become c...
متن کاملGPU-based 3D Wavelet Transform
Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the 3D-DWT transform on both the GTX280 and the GMT540 platforms. The results obtained show that speed-ups of 19.7 and 10.65 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13882-1779