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In order to detect a QRS complex, the local peaks of the integrated signal are found. A peak is defined as the point in which the signal changes direction (from an increasing direction to a decreasing direction). After each peak, no peak can be detected in the next 200 ms (i.e. the lockout time).
Existing methods involve counting based on area of objects, color of objects, applying edge detection techniques etc. There are also applications that involve a large amount of hardware components for counting that further adds to the cost and maintenance which is a tedious work.
The component detection algorithm (CODA) is a name for a type of LC-MS [1] [2] and chemometrics [3] software algorithm focused on detecting peaks in noisy chromatograms (TIC) often obtained using the electrospray ionization technique. The implementation of the algorithm from one piece of mass spectrometry software to another differs. Some ...
Hough transform based on wavelet filtering, to detect a circle of a particular radius. (Matlab code.) Hough transform for lines using MATLAB Archived 2014-04-13 at the Wayback Machine; Hough transform for circles in MATLAB; KHT – C++ source code. 3DKHT – C++ source code and datasets. Straight line Hough transform in Python
It also implements a variety of different algorithms to detect R-peaks and other QRS waves, including an efficient in-house R-peak detector. [ 10 ] [ 11 ] For neurophysiological signals such as EEG , it supports microstates and frequency band analysis.
As the peaks at (x,y) in the 2D synchronous spectrum are a measure for the correlation between the intensity changes at x and y in the original data, these main diagonal peaks are also called autopeaks and the main diagonal signal is referred to as autocorrelation signal. The off-diagonal cross-peaks can be either positive or negative. On the ...
The peak is "well-sampled", so that less than 10% of the area or volume under the peak (area if a 1D Gaussian, volume if a 2D Gaussian) lies outside the measurement region. The width of the peak is much larger than the distance between sample locations (i.e. the detector pixels must be at least 5 times smaller than the Gaussian FWHM).
Do peak detection. Only the local maximum values of the spectrum are considered. Do reference frequency computation procedure. Estimate the deviation with respect to 440 Hz. Do Pitch class mapping with respect to the estimated reference frequency. This is a procedure for determining the pitch class value from frequency values.