On ECG Compressed Sensing using Specific Overcomplete Dictionaries

The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS). The dictionaries were built using normal and patological cardiac patterns extracted from 24 recordings of the MIT-BIH Arrhythmia Database. It has been shown that...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Advances in Electrical and Computer Engineering
المؤلفون الرئيسيون: CLEJU, N., BARABASA, C., GORAS, L., FIRA, M.
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Stefan cel Mare University of Suceava 2010-11-01
الموضوعات:
compressed sensing
biomedical signal processing
electrocardiography
pursuit algorithms
signal processing algorithms
الوصول للمادة أونلاين:http://dx.doi.org/10.4316/AECE.2010.04004
الوصف
الملخص:The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS). The dictionaries were built using normal and patological cardiac patterns extracted from 24 recordings of the MIT-BIH Arrhythmia Database. It has been shown that the compression results obtained using the CS concept based on specific dictionaries are better that those using the wavelet overcomplete dictionaries. Starting from the concept of sparse signal with respect to a given overcomplete dictionary the paper present several results regarding the possibility of simple pattern classification as well.
تدمد:1582-7445
1844-7600

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