Denoising Knee Joint Vibration Signals Using Variational Mode Decomposition

Sundar, Aditya; Das, Chinmay; Pahwa, Vivek

doi:10.1007/978-81-322-2755-7_74

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…In research [24], a model was developed to classify the level of control of patients with diabetes based on historical records. Uses Naïve Bayes, Logistic and J48 techniques.…”

Section: Prediction Of Dm and Treatment Of The Diseasementioning

confidence: 99%

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Wofex 2020

2020

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The workshop WOFEX 2020 (PhD workshop of Faculty of Electrical Engineering and Computer Science) was held on September 8 th September 2020 at the VŠB -Technical University of Ostrava. The workshop offers an opportunity for students to meet and share their research experiences, to discover commonalities in research and studentship, and to foster a collaborative environment for joint problem solving. PhD students are encouraged to attend in order to ensure a broad, unconfined discussion. In that view, this workshop is intended for students and researchers of this faculty offering opportunities to meet new colleagues.This book of proceedings includes 83 papers of faculty PhD students and 3 papers of external authors. The proceedings of WOFEX 2020 are also available at the web site http://wofex.vsb.cz/2020/. I would like to thank the authors and the Organizing Committee from Department of Computer Science, namely Jiří Dvorský and Pavel Moravec, for their arduous editing work.

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“…In research [24], a model was developed to classify the level of control of patients with diabetes based on historical records. Uses Naïve Bayes, Logistic and J48 techniques.…”

Section: Prediction Of Dm and Treatment Of The Diseasementioning

confidence: 99%

“…statistical analysis methods [1][2][3][4][5][6][7][8][9][10], frequency analysis methods [1,[9][10][11], time-frequency analysis methods [12][13][14][15][16][17], signal decomposition methods; wavelet [18][19][20], EMD and VMD [2,[21][22][23][24] and incremental [14],…”

Section: Literature Reviewmentioning

confidence: 99%