Applications of artificial neural networks in medical science
Computer technology has been advanced tremendously and the interest has been
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …
The principles of software QRS detection
BU Kohler, C Hennig… - IEEE Engineering in …, 2002 - ieeexplore.ieee.org
The QRS complex is the most striking waveform within the electrocardiogram (ECG). Since it
reflects the electrical activity within the heart during the ventricular contraction, the time of its …
reflects the electrical activity within the heart during the ventricular contraction, the time of its …
Artificial neural network and its application research progress in chemical process
L Sun, F Liang, W Cui - arXiv preprint arXiv:2110.09021, 2021 - arxiv.org
Most chemical processes, such as distillation, absorption, extraction, and catalytic reactions,
are extremely complex processes that are affected by multiple factors. The relationships …
are extremely complex processes that are affected by multiple factors. The relationships …
Survey on the use of smart and adaptive engineering systems in medicine
In this paper, the current published knowledge about smart and adaptive engineering
systems in medicine is reviewed. The achievements of frontier research in this particular …
systems in medicine is reviewed. The achievements of frontier research in this particular …
A brief performance evaluation of ECG feature extraction techniques for artificial neural network based classification
R Ghongade - TENCON 2007-2007 IEEE Region 10 …, 2007 - ieeexplore.ieee.org
Electrocardiogram is the most easily accessible bio-electric signal that provides the doctors
with reasonably accurate data regarding the patient heart condition. Many of the cardiac …
with reasonably accurate data regarding the patient heart condition. Many of the cardiac …
Artificial neural network model and its application in signal processing
X Pan, Y Wang, Y Qi - Asian Journal of Advanced …, 2023 - research.send4journal.com
The human brain is a powerful image and pattern recognition processor, and its basic
processing element is neurons. Synapses are weighted interconnections between neurons …
processing element is neurons. Synapses are weighted interconnections between neurons …
Nonlinear processing and analysis of ECG data
C Tu, Y Zeng, X Yang - Technology and Health Care, 2004 - content.iospress.com
A new approach based on a histogram analysis to detect QRS-T complexes of the ECG
curve rapidly and reliably is described. The aim consists of a rapid and reliable detection of …
curve rapidly and reliably is described. The aim consists of a rapid and reliable detection of …
[图书][B] Heartbeat detection, classification and coupling analysis using Electrocardiography data
Y Li - 2014 - search.proquest.com
The recording and analysis of electroencephalography (ECG) plays crucial roles in clinical
research and diagnosis. As a result, the development of automatic ECG analysis algorithms …
research and diagnosis. As a result, the development of automatic ECG analysis algorithms …
A review of kernel methods in ECG signal classification
JL Rojo-Alvarez, G Camps-Valls… - ECG Signal Processing …, 2011 - Springer
Kernel methods have been shown to be effective in the analysis of electrocardiogram (ECG)
signals. These techniques provide a consistent and well-founded theoretical framework for …
signals. These techniques provide a consistent and well-founded theoretical framework for …
Hybrid learning using multi-objective genetic algorithms and decision trees for power quality disturbance pattern recognition
BV Krishna, K Baskaran - International Conference on …, 2007 - ieeexplore.ieee.org
The objective of this work is to exploit the potential of latest pattern recognition techniques in
power quality applications. This paper presents a novel hybrid pattern recognizer for …
power quality applications. This paper presents a novel hybrid pattern recognizer for …