Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wavelet Transform-Based Analysis of QRS complex in ECG Signals   In the present paper we have reported a wavelet based time-frequency
multiresolution analysis of an ECG signal. The ECG (electrocardiogram), which
records hearts electrical activity, is able to provide with useful information
about the type of Cardiac disorders suffered by the patient depending upon the
deviations from normal ECG signal pattern. We have plotted the coefficients of
continuous wavelet transform using Morlet wavelet. We used different ECG signal
available at MIT-BIH database and performed a comparative study. We
demonstrated that the coefficient at a particular scale represents the presence
of QRS signal very efficiently irrespective of the type or intensity of noise,
presence of unusually high amplitude of peaks other than QRS peaks and Base
line drift errors. We believe that the current studies can enlighten the path
towards development of very lucid and time efficient algorithms for identifying
and representing the QRS complexes that can be done with normal computers and
processors.

28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex