Detection ischemic episodes from electrocardiogram signal using wavelet transform

Journals Menu

Follow SCIRP

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

"Detection ischemic episodes from electrocardiogram signal using wavelet transform"
written by Mohammad Karimi Moridani, Majid Pouladian,
published by Journal of Biomedical Science and Engineering, Vol.2 No.4, 2009

has been cited by the following article(s):

[1]	An automated method for sleep apnoea detection using HRV
	Journal of Medical Engineering & Technology, 2022

[2]	A novel method for electroretinogram assessment in patients with central retinal vein occlusion
	2020

[3]	A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnoea Detection
	5th Conference on …, 2019

[4]	A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnea Detection
	2019

[5]	A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnea Detection:(A Reliable Algorithm for Sleep Apnea Detection)
	2019

[6]	An Efficient Automated Algorithm for Distinguishing Normal and Abnormal ECG Signal
	2019

[7]	Presenting an efficient approach based on novel mapping for mortality prediction in intensive care unit cardiovascular patients
	MethodsX, 2018

[8]	A NOVEL METHOD TO ISCHEMIC HEART DISEASE DETECTION BASED ON NON-INVASIVE ECG IMAGING
	2018

[9]	ST Segment Analysis Using Wavelet Transform
	2017

[10]	Ischemia Detection Based on ST Segment Level using Wavelet Transform
	ICCWCS 2017 Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems, 2017

[11]	Efficient automatic detection of QRS complexes in ECG signal based on reverse biorthogonal wavelet decomposition and nonlinear filtering
	Measurement, 2016

[12]	Mortality Risk Assessment of ICU Cardiovascular Patients Using Physiological Variables
	Universal Journal of Biomedical Engineering, 2013

[1]	An automated method for sleep apnoea detection using HRV Journal of Medical Engineering & Technology, 2022 DOI:10.1080/03091902.2022.2026504

[2]	A novel method for electroretinogram assessment in patients with central retinal vein occlusion Documenta Ophthalmologica, 2020 DOI:10.1007/s10633-019-09742-2

[3]	A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnea Detection : (A Reliable Algorithm for Sleep Apnea Detection) 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), 2019 DOI:10.1109/KBEI.2019.8734992

[4]	An Efficient Automated Algorithm for Distinguishing Normal and Abnormal ECG Signal IRBM, 2019 DOI:10.1016/j.irbm.2019.09.002

[5]	Presenting an efficient approach based on novel mapping for mortality prediction in intensive care unit cardiovascular patients MethodsX, 2018 DOI:10.1016/j.mex.2018.10.008

[6]	A NOVEL METHOD TO ISCHEMIC HEART DISEASE DETECTION BASED ON NON-INVASIVE ECG IMAGING Journal of Mechanics in Medicine and Biology, 2018 DOI:10.1142/S0219519419500027

[7]	Ischemia Detection Based on ST Segment Level using Wavelet Transform Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems - ICCWCS'17, 2017 DOI:10.1145/3167486.3167540

[8]	Ischemia Detection Based on ST Segment Level using Wavelet Transform Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems, 2017 DOI:10.1145/3167486.3167540

Follow SCIRP