NDLI: Rectus Abdominis ElectroMyoGraphy and MechanoMyoGraphy comparison for the detection of cough

Content Provider	IEEE Xplore Digital Library
Author	Lamraoui, H. Bonvilain, A. Robain, G. Mozer, P. Moreau-Gaudry, A. Cinquin, P. Gumery, P. Basrour, S.
Copyright Year	2010
Description	Author affiliation: TIMC-IMAG laboratory, CNRS, UJF, 38706 La Tronche, France (Moreau-Gaudry, A.; Cinquin, P.; Gumery, P.) \|\| Groupe Hospitalier Pitié-Salpétrière, Department of Urology, 75651 Paris, France (Mozer, P.) \|\| TIMA laboratory, CNRS, Grenoble INP, UJF, 38031, France (Lamraoui, H.; Bonvilain, A.; Basrour, S.) \|\| Groupe Hospitalier Charles Foix, Department of Rehabilitation, Pierre & Marie Curie University Paris6, 75012, France (Robain, G.)
Abstract	We recently developed a novel active implant for the treatment of severe stress urinary incontinence. This innovative medical device has been developed with the main purpose of reducing the mean urethral occlusive pressure of the current prosthesis. This goal is achieved by detecting circumstances implying either high or low intra-abdominal pressures by a single 3-axis accelerometer. In fact, posture and activity of the patient are monitored in real time. We investigated in this study the possibility of detecting cough events (one of the main causes of urine loss in incontinent patient) by MechanoMyoGraphy (MMG) of the Rectus Abdominis (RA) using the same accelerometer. We compared MMG signal detection characteristics (burst onset times and RMS values) to the method of reference, the ElectroMyoGraphy (EMG). It is shown that detection of cough effort by MMG presents lower performances, mostly in terms of cough anticipation, than EMG detection. However, MMG still remains a good option for an implantable system comparing to implantable EMG disadvantages.
Starting Page	6502
Ending Page	6505
File Size	421798
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electromyography Muscles Fatigue Electrocardiography Accelerometers Prosthetics Vibration measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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
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