An effective method to identify various factors for denoising wrist pulse signal using wavelet denoising algorithm-Reference-Cited by-同舟云学术

An effective method to identify various factors for denoising wrist pulse signal using wavelet denoising algorithm

Published:2017-12-11 Issue:1 Volume:29 Page:53-65
ISSN:1878-3619
Container-title:Bio-Medical Materials and Engineering
language:
Short-container-title:BME

Author:

Garg Nidhi¹²,Ryait Hardeep S.³,Kumar Amod⁴,Bisht Amandeep²

Affiliation:

1. I.K. Gujral Punjab Technical University (PTU), Jalandhar, Punjab-144001, India

2. Department of Electronics and Communication, University Institute of Engineering and Technology (UIET), Panjab University (PU), Chandigarh-160023, India

3. Department of Electronics and Communication, BBSBEC, Fatehgarh Sahib, Punjab-140407, India

4. Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh-160030, India

Publisher

IOS Press

Subject

Biomedical Engineering,Biomaterials,General Medicine

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4. B. Thakker, A.L. Vyas, O. Farooq, D. Mulvaney and S. Datta, Wrist pulse signal classification for health diagnosis, in: Proc. 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011, pp. 1799–1805.

5. Reproducibility of pulse wave analysis and pulse wave velocity in patients with type 2 diabetes;Laugesen;Scand. J. Clin. Lab. Invest.,2013

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