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The Utility Of Wavelet Transform In Surface Electromyography Feature Extraction -A Comparative Study Of Different Mother Wavelets

Farzaneh Akhavan Mahdavi, Siti Anom Ahmad, Mohd Hamiruce Marhaban, Mohammad-R. Akbarzadeh-T
2013 Zenodo  
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

Nikita V. Orlov, John Delaney, D. Mark Eckley, Lior Shamir, Ilya G. Goldberg
2009 2009 IEEE/NIH Life Science Systems and Applications Workshop  
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"

Mykola Pechenizkiy, Alexey Tsymbal
2009 Data & Knowledge Engineering  
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

Dipali Bansal, Rashima Mahajan, Shweta Singh, Dheeraj Rathee, Sujit Roy
2014 Zenodo  
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)

M. Murugappan, Rizon M, R. Nagarajan, Yaacob S
2009 International journal of biomedical soft computing and human sciences  
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

Shuoyu WANG, Takeshi TSUCHIYA, Masaharu MIZUMOTO
2000 International journal of biomedical soft computing and human sciences  
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

Asma Qureshi, Maite Brandt-Pearce
2014 2014 IEEE Workshop on Signal Processing Systems (SiPS)  
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

Yina Guo, Ganesh R. Naik, Hung Nguyen
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
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

I. Omerhodzic, S. Avdakovic, A. Nuhanovic, K. Dizdarevic
2010 Zenodo  
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]

Yankai Chen and Yaozu Wu and Shicheng Ma and Irwin King
2021 arXiv   pre-print
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

Ceren Kaya, Okan Erkaymaz, Orhan Ayar, Mahmut Özer
2017 Zenodo  
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

Lorenz Birnbacher, Eva-Maria Braig, Daniela Pfeiffer, Franz Pfeiffer, Julia Herzen
2021 European Journal of Nuclear Medicine and Molecular Imaging  
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

H. Liang, Q.-H. Lin, J.D.Z. Chen
2005 IEEE Transactions on Biomedical Engineering  
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

Stefan Pittner, Bianca Ehrenfellner, Angela Zissler, Victoria Racher, Wolfgang Trutschnig, Arne C. Bathke, Alexandra M. Sänger, Walter Stoiber, Peter Steinbacher, Fabio C. Monticelli
2016 International journal of legal medicine (Print)  
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

Piyush Samant, Ravinder Agarwal
2017 Zenodo  
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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