Surgery – Diagnostic testing – Detecting muscle electrical signal
Reexamination Certificate
2006-10-05
2011-10-04
Hindenburg, Max (Department: 3736)
Surgery
Diagnostic testing
Detecting muscle electrical signal
C600S382000
Reexamination Certificate
active
08032210
ABSTRACT:
A system for detecting and analyzing electrical activity in the anatomy of an organism underlying an electromyographic (EMG) sensor device provides signals corresponding to electrical activity adjacent each electrode of sensor device. A method using the system may comprise determining EMG data for a patient using the EMG sensor device. The method may further include determining whether the determined EMG data for the patient corresponds to predetermined EMG data associated with at least one of a facet condition, a disc condition, and a muscle condition.
REFERENCES:
patent: 4655227 (1987-04-01), Gracovetsky
patent: 4964411 (1990-10-01), Johnson et al.
patent: 5163440 (1992-11-01), DeLuca et al.
patent: 5505208 (1996-04-01), Toomim et al.
patent: 5645073 (1997-07-01), Kadefors et al.
patent: 5755675 (1998-05-01), Sihvonen
patent: 6026321 (2000-02-01), Miyata et al.
patent: 6280394 (2001-08-01), Maloney et al.
patent: 6280395 (2001-08-01), Appel et al.
patent: 6434420 (2002-08-01), Taheri
patent: 6434421 (2002-08-01), Taheri
patent: 6463322 (2002-10-01), Lutz et al.
patent: 6547746 (2003-04-01), Marino
patent: 6584347 (2003-06-01), Sinderby
patent: 6865409 (2005-03-01), Getsla et al.
patent: 6920350 (2005-07-01), Xue et al.
patent: 6965794 (2005-11-01), Brody
Reger et al. “Analysis of Large Array Surface Myoelectric Potentials for the Low Back Muscles” 2001. p. 1-4.
Biro Timothy G.
Finneran Mark T.
Danega Renee
Hindenburg Max
Parmelee Christopher L.
SpineMatrix, Inc.
Walker & Jocke
LandOfFree
EMG diagnostic system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with EMG diagnostic system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and EMG diagnostic system and method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4263602