Publication Type : Conference Paper
Publisher : IEEE
Source : In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1443–1446). IEEE.
Url : https://ieeexplore.ieee.org/abstract/document/8126043
Keywords : Bandwidth, Databases, Heart, home based tele-medicine, large-scale phonocardiogram data sets, medical signal processing, mobile based phonocardiography system, Mobile communication, mobile technologies, noise reduction, PCG signal denoising, phonocardiogram signal denoising, Phonocardiography, Signal denoising, smart phones, Variational mode decomposition, Variational techniques, VMD signal processing technique
Campus : Amritapuri, Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking, Electronics Communication and Instrumentation Forum (ECIF)
Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication
Verified : Yes
Year : 2017
Abstract : Recent advances in signal processing and the revolution by the mobile technologies have spurred several innovations in all the areas and albeit more so in home based tele-medicine. We used variational mode decomposition (VMD) based denoising on large-scale phonocardiogram (PCG) data sets and achieved better accuracy. We have also implemented a reliable, external hardware and mobile based phonocardiography system that uses VMD signal processing technique to denoise the PCG signal that visually displays the waveform and inform the end-user and send the data to cloud based analytics system.
Cite this Research Publication : Sujadevi, V., Soman, K., Kumar, S. S., Mohan, Neethu, & Arunjith, A. (2017). Denoising of phonocardiogram signals using variational mode decomposition. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1443–1446). IEEE.