Abstract: A method of detecting neuromuscular pathology in an individual is disclosed comprising the steps of placing a detector on the skin surface of the individual substantially adjacent to a skeletal muscle; obtaining signals from the detector; processing the signals; and determining neuromuscular status in response to the signals. A system for detecting neuromuscular disease in an individual is disclosed, the system comprising at least one means for recording a first signal from a skeletal muscle; a filter in communication with the recording means to generate a second signal consisting substantially of spontaneous myoelectrical activity; and a processor in communication with the filter, wherein the first signal from the skeletal muscle is filtered so as to generate spontaneous myoelectrical signals, and further wherein the processor calculates the power spectral density of the filtered signals and determines the neuromuscular status in response to the power spectral density of the filtered signals.

Abstract: A method of detecting neuromuscular pathology in an individual is disclosed comprising the steps of placing a detector on the skin surface of the individual substantially adjacent to a skeletal muscle; obtaining signals from the detector; processing the signals; and determining neuromuscular status in response to the signals. A system for detecting neuromuscular disease in an individual is disclosed, the system comprising at least one means for recording a first signal from a skeletal muscle; a filter in communication with the recording means to generate a second signal consisting substantially of spontaneous myoelectrical activity; and a processor in communication with the filter, wherein the first signal from the skeletal muscle is filtered so as to generate spontaneous myoelectrical signals, and further wherein the processor calculates the power spectral density of the filtered signals and determines the neuromuscular status in response to the power spectral density of the filtered signals.