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The Utility Of Wavelet Transform In Surface Electromyography Feature Extraction -A Comparative Study Of Different Mother Wavelets
2013
Zenodo
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Electromyography (EMG) signal processing has been investigated remarkably regarding various applications such as in rehabilitation systems. ...
Hereupon, four wavelet families, namely, Daubechies, Coiflets, Symlets and Biorthogonal are studied in wavelet decomposition stage. ...
In another hand, selecting MW based on the problem statement of research and the application is considerable too. ...
doi:10.5281/zenodo.1057347
fatcat:ptv7dr3jvbhtffmcecp7p4sroe
Pattern recognition for biomedical imaging and image-guided diagnosis
2009
2009 IEEE/NIH Life Science Systems and Applications Workshop
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Thus, the application of pattern recognition to biomedical imaging requires the development of a wide variety of image features. ...
A challenge in applying this methodology is that biomedical imaging uses many imaging modalities and subjects. ...
biomedical domains. ...
doi:10.1109/lissa.2009.4906724
fatcat:equq3mm465gerc27oo5nri5iey
Guest editorial for DKE special issue on "Biomedical Data Mining"
2009
Data & Knowledge Engineering
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It studies the use of information technology and advanced research computing in the practice of biomedical sciences and medicine. ...
volumes of biomedical data. ...
In summary, this special issue presents advances in biomedical data analysis in 7 selected and extended papers from the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008 ...
doi:10.1016/j.datak.2009.07.001
fatcat:5p2qq2xct5ekzni37x4e4ydhqu
Real Time Acquisition And Analysis Of Neural Response For Rehabilitative Control
2014
Zenodo
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Signal processing of real time acquired EEG is done using EEGLAB in MATLAB and EDF Browser application software platforms. ...
Time Frequency transforms and Data statistics obtained using EEGLAB along with component activation results of EDF browser clearly indicate voluntary eye blink in AF3 channel. ...
The ICA decomposition of signals leads to the extraction of maximally temporally independent EEG signals corresponding to any activity present in the channel data [27] . ...
doi:10.5281/zenodo.1092191
fatcat:yy54arq2z5b2ng2gjvgkp22ydm
FCM clustering of Human Emotions using Wavelet based Features from EEG(Biosensors: Data Acquisition, Processing and Control)
2009
International journal of biomedical soft computing and human sciences
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Abstract; Reeentij4 little attention has been paid to EEG signalfor emotion recognition when compared to other pJuasiological signals. 77iis paper proposes an emotion recognition system .fiom EEG (:E]lectroencephaiogranij ...
our
BiomedicalFuzzy
Systems
Association
Biomedical Sofi Cemputing and IIuman Sciences, Vol. 14, Nu.2 (2009)
experiment. ...
Biomedical Soft Computiiig and lluman Sciences, Vol.1a, No.2(2U09) fbr three emotions from the six subjects have been used as input for distinguishing emetions. ...
doi:10.24466/ijbschs.14.2_35
fatcat:pajvicfixfbgpgipydyfta57gu
A Learning Algorithm for Distance-type Fuzzy Reasoning Method
2000
International journal of biomedical soft computing and human sciences
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Exchanges on Fuzziness and its Applications," "Journal ef Biomedical Fuzzy Systems Associatioq" and ''Biomedical Soft Computing and Hutnan Sciences."' ...
science. ...
doi:10.24466/ijbschs.6.1_61
fatcat:xgsihybjevahvly3glmww5qddq
On modified EMD: Selective extrema analysis
2014
2014 IEEE Workshop on Signal Processing Systems (SiPS)
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diagnosis of Normal Pressure Hydrocephalus (NPH) to overcome • Deficiencies of in-clinic testing • Challenges in assessing features from inertial out-of-clinic data RESULTS ON SINOSOIDS ...
project aimed to explore new features (gait parameters) and personalized signal processing methods within the context of gait analysis using a inertial BSN developed at the University of Virginia to aid in ...
Functions IMFs
• Local, iterative, data driven with basis
derived from signal
• Used to analyze non stationary and non
linear sequences
• Applications in gait and other biomedical
data analysis ...
doi:10.1109/sips.2014.6986070
dblp:conf/sips/QureshiB14
fatcat:dlluhp5bgjhpplkg3mj5bio6ma
Single channel blind source separation based local mean decomposition for Biomedical applications
2013
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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The real time experimental results demonstrated the advantage of the proposed single channel source separation method for artifact removal and in biomedical source separation applications. ...
In this paper, we propose a novel technique using Local Mean Decomposition (LMD) and Independent Component Analysis (ICA) combined with single channel BSS (LMD_ICA). ...
Single channel blind source separation based local mean decomposition for Biomedical applications t a k i . iii. ...
doi:10.1109/embc.2013.6611121
pmid:24111308
dblp:conf/embc/GuoNN13
fatcat:eyuuagjervd3bax2jwqvasm7gy
Energy Distribution Of Eeg Signals: Eeg Signal Wavelet-Neural Network Classifier
2010
Zenodo
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The performance of the proposed algorithm has been evaluated using in total 300 EEG signals. ...
In this paper, a wavelet-based neural network (WNN) classifier for recognizing EEG signals is implemented and tested under three sets EEG signals (healthy subjects, patients with epilepsy and patients ...
ANNs are widely used in the biomedical field for modeling, data analysis and diagnostic classification. ...
doi:10.5281/zenodo.1058048
fatcat:m652kjuik5cxjkxlvsuxpd6t2e
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
[article]
2021
arXiv
pre-print
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We also introduce important applications and tasks in the biomedical domain as well as associated public biomedical datasets. ...
In this survey, we conduct a literature review of recent developments and trends in applying graph embedding methods for biomedical data. ...
Applications and Tasks In recent years, graph embedding methods have been applied in biomedical data science. ...
arXiv:2101.06569v2
fatcat:vqfosu4o6neklfffpvpmmdor2q
Multi-Layer Perceptron And Radial Basis Function Neural Network Models For Classification Of Diabetic Retinopathy Disease Using Video-Oculography Signals
2017
Zenodo
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Our results show that proposed the RBF model (100%) results in better classification performance than the MLP model (94%). ...
In this study, features of horizontal and vertical Video-Oculography (VOG) signals have been used to classify non-proliferative and proliferative diabetic retinopathy disease. ...
These modules are structured for specific applications such as pattern recognition or data classification via learning process [13] , [14] . ...
doi:10.5281/zenodo.1132670
fatcat:e6ua54b575brxo6tm7wx5bwkji
Quantitative X-ray phase contrast computed tomography with grating interferometry : Biomedical applications of quantitative X-ray grating-based phase contrast computed tomography
2021
European Journal of Nuclear Medicine and Molecular Imaging
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The ability of biomedical imaging data to be of quantitative nature is getting increasingly important with the ongoing developments in data science. ...
In this review article, we present quantitative GBPC-CT with the focus on biomedical applications. ...
This results in various biomedical applications of GPBC-CT and a brief presentation of related X-ray PCI methods in context of ability to provide quantitative data. ...
doi:10.1007/s00259-021-05259-6
pmid:33846846
pmcid:PMC8566444
fatcat:ivhjpvcln5f35by7ezefcopv2e
Application of the Empirical Mode Decomposition to the Analysis of Esophageal Manometric Data in Gastroesophageal Reflux Disease
2005
IEEE Transactions on Biomedical Engineering
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In this contribution, we applied the idea of EMD to develop strategies to automatically identify the relevant IMFs that contribute to the slow-varying trend in the data, and presented its application on ...
The decomposition procedure is adaptive, data-driven, therefore, highly efficient. ...
Application of the Empirical Mode Decomposition to the Analysis of Esophageal Manometric Data in Gastroesophageal Reflux Disease Hualou Liang*, Senior Member, IEEE, Qiu-Hua Lin, and J. D. Z. ...
doi:10.1109/tbme.2005.855719
pmid:16235655
fatcat:6ql6j536zjax3bhngzir2wjyg4
First application of a protein-based approach for time since death estimation
2016
International journal of legal medicine (Print)
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We report the first application of a novel method, based on decay of muscle proteins, in a recent case of murder-suicide, where other TDE methods failed to obtain data. ...
We detected considerably different protein degradation profiles in both individuals involved and compared the data to our presently available database. ...
distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in ...
doi:10.1007/s00414-016-1459-4
pmid:27770266
pmcid:PMC5591615
fatcat:gqryl2xkkbe5ficuww2vauxd3a
Diagnosis Of Diabetes Using Computer Methods: Soft Computing Methods For Diabetes Detection Using Iris
2017
Zenodo
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The suggested model was applied in a systemic disease with ocular effects. 200 subject data of 100 each diabetic and non-diabetic were evaluated. ...
Also, Rapid Laboratory, Patiala is acknowledged for providing data acquisition facility. ...
techniques are used for different biomedical application and
disease prediction. ...
doi:10.5281/zenodo.1129722
fatcat:nyzmp52g2zdfjnpph6ykrem5sm
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