NDLI: Respiratory Sounds Compression

Content Provider	IEEE Xplore Digital Library
Author	Yadollahi, A. Moussavi, Z.
Copyright Year	1964
Abstract	Recently, with the advances in digital signal processing, compression of biomedical signals has received great attention for telemedicine applications. In this paper, an adaptive transform coding-based method for compression of respiratory and swallowing sounds is proposed. Using special characteristics of respiratory sounds, the recorded signals are divided into stationary and nonstationary portions, and two different bit allocation methods (BAMs) are designed for each portion. The method was applied to the data of 12 subjects and its performance in terms of overall signal-to-noise ratio (SNR) values was calculated at different bit rates. The performance of different quantizers was also considered and the sensitivity of the quantizers to initial conditions has been alleviated. In addition, the fuzzy clustering method was examined for classifying the signal into different numbers of clusters and investigating the performance of the adaptive BAM with increasing the number of classes. Furthermore, the effects of assigning different numbers of bits for encoding stationary and nonstationary portions of the signal were studied. The adaptive BAM with variable number of bits was found to improve the SNR values of the fixed BAM by 5 dB. Last, the possibility of removing the training part for finding the parameters of adaptive BAMs for each individual was investigated. The results indicate that it is possible to use a predefined set of BAMs for all subjects and remove the training part completely. Moreover, the method is fast enough to be implemented for real-time application.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	8
File Size	666977
Starting Page	1336
Ending Page	1343
File Format	PDF
ISSN	00189294
Volume Number	55
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnesium compounds Bit rate Digital signal processing Signal processing Telemedicine Design methodology Signal design Signal to noise ratio Clustering methods Encoding swallowing sounds Adaptive bit allocation compression discrete cosine transform (DCT) respiratory sounds Adaptive Bit Allocation Respiratory Sounds Swallowing Sounds Compression DCT
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Electrocardiogram data compression using adaptive bit encoding of the discrete Fourier transforms coefficients

Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images

Novel OFDM Based on C-Transform for Improving Multipath Transmission

Improvement of DCT-Based Compression Algorithms Using Poisson's Equation

High-Quality DCT-Based Image Compression Using Partition Schemes

Audio Fingerprinting Based on Multiple Hashing in DCT Domain

Comments on “An Analog 2-D DCT Processor”

DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-Level Bit Allocation for HEVC

Respiratory Sounds Compression

Similar Documents

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Electrocardiogram data compression using adaptive bit encoding of the discrete Fourier transforms coefficients

Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images

Novel OFDM Based on C-Transform for Improving Multipath Transmission

Improvement of DCT-Based Compression Algorithms Using Poisson's Equation

High-Quality DCT-Based Image Compression Using Partition Schemes

Audio Fingerprinting Based on Multiple Hashing in DCT Domain

Comments on “An Analog 2-D DCT Processor”

DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-Level Bit Allocation for HEVC

Respiratory Sounds Compression