Implementation of Template Matching Algorithm for Wearable Electrocardiogram Sensor System
Yun-Hong Noh, Do-Un Jeong
Journal of Electronic Systems, Vol. 7, No. 1, 2017.
DOI: 
Link: http://www.dline.info/jes/fulltext/v7n1/jesv7n1_2.pdf
Abstract:
In this paper, a segmentation template matching-based electrocardiogram compression algorithm for mobile device applications 
is proposed and implemented. Templates for PQ interval, QRS complex, and ST interval are created. Only the template code that 
closely matches the input signal is saved. The algorithmâ€™s performance is evaluated using the Massachusetts Institute of 
Technologyâ€“Bostonâ€™s Beth Israel Hospital Normal Sinus Rhythm Database and with a different sampling rate. When using a 128-Hz 
sampling rate, the average compression ratio and percentage of root mean square difference are 7.94 and 5.33, respectively.