Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework

A Hybrid Classification Framework Based on Clustering

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2933675 ◽

2020 ◽

Vol 16 (4) ◽

pp. 2177-2188 ◽

Cited By ~ 1

Author(s):

Jin Xiao ◽

Yuhang Tian ◽

Ling Xie ◽

Xiaoyi Jiang ◽

Jing Huang

Keyword(s):

Classification Framework ◽

Hybrid Classification

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Cardiac cycle detection for heart sound signal based on instantaneous cycle frequency

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI) ◽

10.1109/bmei.2011.6098371 ◽

2011 ◽

Cited By ~ 2

Author(s):

Hong Tang ◽

Ting Li ◽

Tianshuang Qiu

Keyword(s):

Cardiac Cycle ◽

Heart Sound ◽

Sound Signal ◽

Cycle Frequency ◽

Cycle Detection ◽

Heart Sound Signal

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Multimodal fusion of EEG-fNIRS: a mutual information-based hybrid classification framework

Biomedical Optics Express ◽

10.1364/boe.413666 ◽

2021 ◽

Vol 12 (3) ◽

pp. 1635

Author(s):

Roohollah Jafari Deligani ◽

Seyyed Bahram Borgheai ◽

John McLinden ◽

Yalda Shahriari

Keyword(s):

Mutual Information ◽

Multimodal Fusion ◽

Classification Framework ◽

Hybrid Classification

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A novel hybrid classification framework using SVM and differential evolution

Soft Computing ◽

10.1007/s00500-016-2054-9 ◽

2016 ◽

Vol 21 (14) ◽

pp. 4029-4044 ◽

Cited By ~ 4

Author(s):

Xiaobing Yu ◽

Xuming Wang

Keyword(s):

Differential Evolution ◽

Classification Framework ◽

Hybrid Classification

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Integrating intermediate inputs from partially classified images within a hybrid classification framework: An impervious surface estimation example

Remote Sensing of Environment ◽

10.1016/j.rse.2010.01.008 ◽

2010 ◽

Vol 114 (6) ◽

pp. 1220-1229 ◽

Cited By ~ 24

Author(s):

Li Luo ◽

Giorgos Mountrakis

Keyword(s):

Impervious Surface ◽

Intermediate Inputs ◽

Surface Estimation ◽

Classification Framework ◽

Hybrid Classification

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374 Ventricular filling mechanisms: study of regional pressure gradients and myocardial segmental lengths along the cardiac cycle

European Journal of Heart Failure Supplements ◽

10.1016/s1567-4215(06)80236-5 ◽

2006 ◽

Vol 5 (1) ◽

pp. 83-83

Author(s):

M GUERRA ◽

M AMORIM ◽

C BRASSILVA ◽

A LEITEMOREIRA

Keyword(s):

Cardiac Cycle ◽

Pressure Gradients ◽

Ventricular Filling

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Assessment of Myocardial Viability in Persistent Defects on Thallium-201 SPECT after Reinjection Using Gradient-Echo MRI

Nuklearmedizin ◽

10.1055/s-0038-1629799 ◽

1996 ◽

Vol 35 (05) ◽

pp. 146-152 ◽

Cited By ~ 3

Author(s):

A. Kögler ◽

H.-A. Schmitt ◽

D. Emrich ◽

H. Kreuzer ◽

D. L. Munz ◽

...

Keyword(s):

Wall Thickness ◽

Myocardial Viability ◽

Cardiac Cycle ◽

Single Photon ◽

Contractile Function ◽

Left Ventricular ◽

Wall Thickening ◽

Gradient Echo ◽

Systolic Wall Thickening

SummaryThis prospective study assessed myocardial viability in 30 patients with coronary heart disease and persistent defects despite reinjection on TI-201 single-photon computed tomography (SPECT). In each patient, three observers graded TI-201 uptake in 7 left ventricular wall segments. Gradient-echo magnetic resonance imaging in the region of the persistent defect generated 12 to 16 short axis views representing a cardiac cycle. A total of 120 segments were analyzed. Mean end-diastolic wall thickness and systolic wall thickening (± SD) was 11.5 ± 2.7 mm and 5.8 ± 3.9 mm in 48 segments with normal TI-201 uptake, 10.1 ± 3.4 mm and 3.7 ± 3.1 mm in 31 with reversible lesions, 11.3 ± 2.8 mm and 3.3 ± 1.9 mm in 10 with mild persistent defects, 9.2 ± 2.9 mm and 3.2 ±2.2 mm in 15 with moderate persistent defects, 5.8 ± 1.7 mm and 1.3 ± 1.4 mm in 16 with severe persistent defects, respectively. Significant differences in mean end-diastolic wall thickness (p <0.0005) and systolic wall thickening (p <0.005) were found only between segments with severe persistent defects and all other groups, but not among the other groups. On follow-up in 11 patients after revascularization, 6 segments with mild-to-moderate persistent defects showed improvement in mean systolic wall thickening that was not seen in 6 other segments with severe persistent defects. These data indicate that most myocardial segments with mild and moderate persistent TI-201 defects after reinjection still contain viable tissue. Segments with severe persistent defects, however, represent predominantly nonviable myocardium without contractile function.

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HYBRID CLASSIFICATION SCHEMES FOR HEART MURMUR DETECTION TO ASSIST PHONOCARDIOGRAM BASED SIGNAL ACQUISITION

JOURNAL OF ADVANCES IN CHEMISTRY ◽

10.24297/jac.v13i9.5803 ◽

2017 ◽

Vol 13 (9) ◽

pp. 6480-6488 ◽

Cited By ~ 1

Author(s):

A.D. Jeyarani ◽

Reena Daphne ◽

Solomon Roach

Keyword(s):

Neural Network ◽

Signal Acquisition ◽

Heart Murmur ◽

Classification Techniques ◽

Classification Schemes ◽

Neural Network Classification ◽

Nonlinear Classification ◽

Processing Step ◽

System Characterization ◽

Hybrid Classification

The main contribution of this paper has been to introduce nonlinear classification techniques to extract more information from the PCG signal. Especially, Artificial Neural Network classification techniques have been used to reconstruct the underlying systemâ€™s state space based on the measured PCG signal. This processing step provides a geometrical interpretation of the dynamics of the signal, whose structure can be utilized for both system characterization and classification as well as for signal processing tasks such as detection and prediction.

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