Title :
Auto-threshold peak detection in physiological signals
Author_Institution :
Coll. of Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates
Abstract :
In processing physiological signals, it is often necessary to detect periodic, local maxima. There are a variety of peak detection algorithms, but most require a threshold value in order to distinguish peaks from the rest of the data. This brief paper presents implementation of a peak detection algorithm using Matlab© and introduces an innovative method for estimating the threshold value.
Keywords :
electrocardiography; medical signal detection; ECG; Matlab; QRS complexes; auto-threshold peak detection; cardiac disease susceptibility; diabetes; electrodiagnostics; heart rate variability; neuropathy early detection; peak detection algorithms; periodic local maxima detection; physiological signals processing; threshold value estimation; Cardiac disease; Data acquisition; Detection algorithms; Diabetes; Heart rate; Heart rate detection; Interference; Nearest neighbor searches; Signal detection; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1017206
