Novel cardiac arrhythmia processing using machine learning techniques
Electrocardiography (ECG) signals provides assistance to the cardiologists for identification
of various cardiovascular diseases (CVD). ECG machine records the electrical activity of the …
of various cardiovascular diseases (CVD). ECG machine records the electrical activity of the …
基于RBF 神经网络的地铁隧道施工坍塌事故应急车辆需求预测.
邓林， 陈玉斌， 刘湘慧， 陈赟 - Journal of Railway Science & …, 2022 - search.ebscohost.com
青岛地铁昌乐路站为地下2 层岛式站台的暗挖车站, 区间分为四线单洞, 双线单洞和单线单洞
隧道. 本文研究对象为四线单洞区, 大跨单拱单层结构, 宽21.4~ 22.9 m, 区间拱顶埋深在30.8 …
隧道. 本文研究对象为四线单洞区, 大跨单拱单层结构, 宽21.4~ 22.9 m, 区间拱顶埋深在30.8 …
[PDF][PDF] Features optimization for ECG signals classification
A new method is used in this work to classify ECG beats. The new method is about using an
optimization algorithm for selecting the features of each beat then classify them. For each …
optimization algorithm for selecting the features of each beat then classify them. For each …
Modification method to deal with the accumulation effects for summer daily electric load forecasting
Y Li, YQ Bao, B Yang, C Chen, W Ruan - International Journal of Electrical …, 2015 - Elsevier
Due to the summer heat, electric load is sometimes influenced by the accumulation effect:
the load is not only affected by the present temperature, but also affected by the continuous …
the load is not only affected by the present temperature, but also affected by the continuous …
Detection of ventricular late potentials in electrocardiograms using machine learning
X Fagan, K Ivanko, N Ivanushkina - … for Engineering and Education III 3, 2021 - Springer
The first signs of myocardial electrical instability reflect the depletion of regulatory systems at
the cellular level. These changes at the first stage may not manifest themselves clinically as …
the cellular level. These changes at the first stage may not manifest themselves clinically as …
基于加速度信号和进化RBF 神经网络的人体行为识别
卢先领， 王洪斌， 徐仙 - 模式识别与人工智能, 2015 - cqvip.com
针对基于加速度信号的人体行为识别, 采用递阶遗传算法(HGA) 训练径向基函数(RBF)
神经网络, 获得满意的识别正确率. 设计适应度函数, 利用四分位数间距改进HGA …
神经网络, 获得满意的识别正确率. 设计适应度函数, 利用四分位数间距改进HGA …
Automatic detection of cardiovascular disease using deep kernel extreme learning machine
D Li - Biomedical Engineering: Applications, Basis and …, 2018 - World Scientific
The electrocardiogram (ECG) is a principal signal employed to automatically diagnose
cardiovascular disease in shallow and deep learning models. However, ECG feature …
cardiovascular disease in shallow and deep learning models. However, ECG feature …
[图书][B] ECG Classification with an Adaptive Neuro-Fuzzy Inference System
BT Funsten - 2015 - search.proquest.com
Heart signals allow for a comprehensive analysis of the heart. Electrocardiography (ECG or
EKG) uses electrodes to measure the electrical activity of the heart. Extracting ECG signals …
EKG) uses electrodes to measure the electrical activity of the heart. Extracting ECG signals …
[PDF][PDF] An ECG beat classification using adaptive neuro-fuzzy inference system
PR Bokde - … Research Journal of Advanced Engineering and …, 2017 - academia.edu
Electrocardiography (ECG or EKG) uses electrodes to measure an electrical activity of heart.
These heart signal allows comprehensive analysis of the heart condition. Acquisition of ECG …
These heart signal allows comprehensive analysis of the heart condition. Acquisition of ECG …
Innovation prediction of new energy vehicle enterprises based on improved hybrid neural network model
Y Hao, MS Guo, H Zeng - Journal of Computational Methods in …, 2022 - content.iospress.com
Considering the influence of new energy vehicle enterprises innovation input is affected by a
variety of non-linear and uncertain factors, an automatic coding machine mixed with RBF …
variety of non-linear and uncertain factors, an automatic coding machine mixed with RBF …