Algorithmic Approaches to QRS Detection

1984 ◽  
pp. 179-188 ◽  
Author(s):  
O. Pahlm ◽  
L. Sörnmo
Keyword(s):  
Qrs Detection ◽  
Algorithmic Approaches

scholarly journals MFIX-Exa: A path toward exascale CFD-DEM simulations

2021 ◽  
pp. 109434202110092
Author(s):  
Jordan Musser ◽  
Ann S Almgren ◽  
William D Fullmer ◽  
Oscar Antepara ◽  
John B Bell ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Element Model ◽  
Discrete Element Model ◽  
Software Framework ◽  
Chemical Reactors ◽  
Software Infrastructure ◽  
Fundamental Physics ◽  
Dem Simulations ◽  
Algorithmic Approaches

MFIX-Exa is a computational fluid dynamics–discrete element model (CFD-DEM) code designed to run efficiently on current and next-generation supercomputing architectures. MFIX-Exa combines the CFD-DEM expertise embodied in the MFIX code—which was developed at NETL and is used widely in academia and industry—with the modern software framework, AMReX, developed at LBNL. The fundamental physics models follow those of the original MFIX, but the combination of new algorithmic approaches and a new software infrastructure will enable MFIX-Exa to leverage future exascale machines to optimize the modeling and design of multiphase chemical reactors.

Algorithmic approaches to redesigning tcam-based systems

2008 ◽  
Vol 36 (1) ◽  
pp. 467-468 ◽  
Author(s):  
Chad R. Meiners ◽  
Alex X. Liu ◽  
Eric Torng
Keyword(s):  
Algorithmic Approaches

A Compact QRS Detection System Based on 0.79 μW Analog CMOS Energy-of-Derivative Circuit

2021 ◽  
pp. 105097
Author(s):  
Rafael Sanchotene Silva ◽  
Afonso Roberto Plantes Neto ◽  
Jefferson Luiz Brum Marques ◽  
Omid Kavehei ◽  
Cesar Ramos Rodrigues
Keyword(s):  
Detection System ◽  
Qrs Detection ◽  
Analog Cmos

EFFICIENT QRS COMPLEX DETECTION ALGORITHM IMPLEMENTATION ON SOC-BASED EMBEDDED SYSTEM

2016 ◽  
Vol 78 (7-5) ◽  
Author(s):  
Muhammad Amin Hashim ◽  
Yuan Wen Hau ◽  
Rabia Baktheri
Keyword(s):  
Embedded System ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Qrs Complex ◽  
Qrs Detection ◽  
Qrs Complex Detection ◽  
Moving Windows ◽  
Field Programmable ◽  
Complex Detection ◽  
On Chip

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. 

Real Time QRS Detection Based on Redundant Discrete Wavelet Transform

2016 ◽  
Vol 14 (4) ◽  
pp. 1662-1668 ◽  
Author(s):  
Ernano Arrais Junior ◽  
Ricardo Alexandro de Medeiros Valentim ◽  
Glaucio Bezerra Brandao
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Real Time ◽  
Discrete Wavelet ◽  
Qrs Detection ◽  
Redundant Discrete Wavelet Transform

A ±6ms-accuracy, 0.68mm2 and 2.21μW QRS detection ASIC

2010 ◽  
Author(s):  
Hui-Min Wang ◽  
You-Liang Lai ◽  
Mark C. Hou ◽  
Shih-Hsiang Lin ◽  
Brad S. Yen ◽  
...  
Keyword(s):  
Qrs Detection
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