The Effects of Duration-Based Moving Windows with Estimation by Analogy

Author(s):  
Sousuke Amasaki ◽  
Chris Lokan
2016 ◽  
Vol 78 (7-5) ◽  
Author(s):  
Muhammad Amin Hashim ◽  
Yuan Wen Hau ◽  
Rabia Baktheri

This paper studies two different Electrocardiography (ECG) preprocessing algorithms, namely Pan and Tompkins (PT) and Derivative Based (DB) algorithm, which is crucial of QRS complex detection in cardiovascular disease detection. Both algorithms are compared in terms of QRS detection accuracy and computation timing performance, with implementation on System-on-Chip (SoC) based embedded system that prototype on Altera DE2-115 Field Programmable Gate Array (FPGA) platform as embedded software. Both algorithms are tested with 30 minutes ECG data from each of 48 different patient records obtain from MIT-BIH arrhythmia database. Results show that PT algorithm achieve 98.15% accuracy with 56.33 seconds computation while DB algorithm achieve 96.74% with only 22.14 seconds processing time. Based on the study, an optimized PT algorithm with improvement on Moving Windows Integrator (MWI) has been proposed to accelerate its computation. Result shows that the proposed optimized Moving Windows Integrator algorithm achieves 9.5 times speed up than original MWI while retaining its QRS detection accuracy. 


2010 ◽  
Vol 3 (9) ◽  
pp. 67-67 ◽  
Author(s):  
M. S. Castelhano ◽  
J. M. Henderson

2013 ◽  
Vol 791-793 ◽  
pp. 1945-1948
Author(s):  
Yung Fa Huang ◽  
Bang Han Tsai ◽  
Ching Mu Chen

In this paper, a context aware system is investigated for reading. The experiments are performed by two ultrasound sensors to obtain the users three scenarios of study, relax and nap. In this paper, we proposed soft decision (SD) method for three contexts to improve the accuracy rate of contexts recognition to 93% comparing with the 78% of hard decision (HD) method. In addition, to remove the external noise or interference, the moving windows (MW) are proposed to further improve the accuracy rate to 98%.


IET Software ◽  
2013 ◽  
Vol 7 (4) ◽  
pp. 195-202 ◽  
Author(s):  
Mohammad Azzeh ◽  
Marwan Alseid

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