title: Rectus abdominis electromyography and MechanoMyoGraphy comparison for the detection of cough.
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.
authors.affiliation: TIMA laboratory, CNRS, Grenoble INP, UJF, 38031, France. hamid.lamraoui@imag.fr
authors.forename: Hamid
authors.initials: H
authors.lastname: Lamraoui
authors.forename: Agnes
authors.initials: A
authors.lastname: Bonvilain
authors.forename: Gilberte
authors.initials: G
authors.lastname: Robain
authors.forename: Pierre
authors.initials: P
authors.lastname: Mozer
authors.forename: Alexandre
authors.initials: A
authors.lastname: Moreau-Gaudry
authors.forename: Philippe
authors.initials: P
authors.lastname: Cinquin
authors.forename: Pierre-Yves
authors.initials: PY
authors.lastname: Gumery
authors.forename: Skandar
authors.initials: S
authors.lastname: Basrour
mesh_terms: D003371:Cough / Q000175:diagnosis*; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D017568:Rectus Abdominis / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted