It is shown that the statistical analysis of the sEMG signals recorded by the ChiroSensors along the paraspinal muscles during Network Spinal Analysis (NSA) provides objective confirmation of the physiological reality as perceived by the practitioner as it relates to levels of care and spinal injury recovery.

An electrophysiological phenomenon running along the spine, referred to as Network Spinal Analysis (NSA) wave, is analyzed from the “inverse” viewpoint of constructing the traveling and stationary wave phenomena from the surface electromyographic (sEMG) signals recorded at various points along the paraspinal muscles.

This paper develops a switching dynamics model of the surface Electromyographic (sEMG) signal generated during a condition in which the mechanical attachment of the spinal dura to the cervical vertebra creates an unstable nonlinear feedback coupling between the biomechanics of the spine and the central nervous system (CNS).

In this early presentation to an NSF dynamical systems workshop at the University of Southern California, Edmond Jonckheere's engineering team asked whether surface EMG recorded along the spine could track the progress of Network Spinal Analysis (NSA) care.