NDLI: Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals

Content Provider	IEEE Xplore Digital Library
Author	Sarlabous, L. Torres, A. Fiz, J.A. Morera, J. Jane, R.
Copyright Year	2012
Description	Author affiliation: Dept. ESAII, Univ. Politec. de Catalunya, Barcelona, Spain (Sarlabous, L.; Torres, A.; Jane, R.) \|\| Pneumology Service of Hosp. Germans Trias I Pujol, Badalona, Spain (Fiz, J.A.; Morera, J.)
Abstract	The study of the mechanomyographic signal of the diaphragm muscle (MMGdi) is a promising technique in order to evaluate the respiratory muscles effort. The relationship between amplitude and frequency parameters of this signal with the respiratory effort performed during respiration is of great interest for researchers and physicians due to its diagnostic potentials. However, MMGdi signals are frequently contaminated by a cardiac vibration or mechanocardiographic (MCG) signal. An adaptive noise cancellation (ANC) can be used to reduce the MCG interference in the recorded MMGdi activity. In this paper, it is evaluated the proposed ANC scheme by means of a synthetic MMGdi signal with a controlled MCG interference. The Pearson's correlation coefficient (PCC) between both root mean square (RMS) and mean frequency (fm) of the synthetic MMGdi signal are considerably reduced with the presence of cardiac vibration noise (from 0.95 to 0.87, and from 0.97 to 0.76, respectively). With the ANC algorithm proposed the effect of the MCG noise on the amplitude and frequency of MMG parameters is reduced considerably (PCC of 0.93 and 0.97 for the RMS and fm, respectively). The ANC method proposed in this work is an interesting technique to attenuate the cardiac interference in respiratory MMG signals. Further investigation should be carried out to evaluate the performance of the ANC algorithm in real MMGdi signals.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3400
Ending Page	3403
File Size	1014525
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346695
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Muscles Interference Frequency modulation Adaptive filters Noise cancellation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Detection and Adaptive Cancellation of Heart Sound Interference in Tracheal Sounds

Cardiac interference reduction in diaphragmatic MMG signals during a Maintained Inspiratory Pressure Test

Comparative Study of Event-Synchronous Interference Cancelling Methods

Inspiratory Pressure Evaluation by means of the Entropy of Respiratory Mechanomyographic Signals

Cancellation of Artifacts in ECG Signals Using a Normalized Adaptive Neural Filter

Power line interference attenuation in multi-channel sEMG signals: Algorithms and analysis

Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients

A new method for attenuation of respiration artifacts in electrogastrographic (EGG) signals

Application of the Empirical Mode Decomposition method to the Analysis of Respiratory Mechanomyographic Signals

Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals

Similar Documents

Detection and Adaptive Cancellation of Heart Sound Interference in Tracheal Sounds

Cardiac interference reduction in diaphragmatic MMG signals during a Maintained Inspiratory Pressure Test

Comparative Study of Event-Synchronous Interference Cancelling Methods

Inspiratory Pressure Evaluation by means of the Entropy of Respiratory Mechanomyographic Signals

Cancellation of Artifacts in ECG Signals Using a Normalized Adaptive Neural Filter

Power line interference attenuation in multi-channel sEMG signals: Algorithms and analysis

Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients

A new method for attenuation of respiration artifacts in electrogastrographic (EGG) signals

Application of the Empirical Mode Decomposition method to the Analysis of Respiratory Mechanomyographic Signals

Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals