Systems and methods for estimating surface electromyography
First Claim
1. A biofeedback device adapted for using the activity of one or more muscles to proportionally control a second electromechanical device, the biofeedback device comprising a first detector configured for detecting a first signal that indicates a time series of surface electromyography measurements, designated sEMG(t), for each time t of a plurality of times from a particular location on a subject, a processor configured for processing the first signal using a nonlinear filter for determining a time series of a stable driving signal x(t), a power source, and a feedback system, the feedback system comprising a motorized device, wherein the feedback system is in electrical communication with the processor, whereinprocessing the first signal using the nonlinear filter further comprises applying a nonlinear filter that includes a first parameter α
- that indicates a rate of drift for values of x(t) and an independent second parameter β
that indicates frequency of shift in values of x(t); and
the feedback system causes the motorized device to apply a sensory feedback to the subject based on the stable driving function.
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Abstract
A rehabilitation device is presented that is inexpensive to produce and is easy to use. The device uses a predictable method to estimate the activity of muscle and therefore provide many ways to train and rehabilitate a person having a prosthetic limb or other neuromuscular disorder.
102 Citations
30 Claims
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1. A biofeedback device adapted for using the activity of one or more muscles to proportionally control a second electromechanical device, the biofeedback device comprising a first detector configured for detecting a first signal that indicates a time series of surface electromyography measurements, designated sEMG(t), for each time t of a plurality of times from a particular location on a subject, a processor configured for processing the first signal using a nonlinear filter for determining a time series of a stable driving signal x(t), a power source, and a feedback system, the feedback system comprising a motorized device, wherein the feedback system is in electrical communication with the processor, wherein
processing the first signal using the nonlinear filter further comprises applying a nonlinear filter that includes a first parameter α - that indicates a rate of drift for values of x(t) and an independent second parameter β
that indicates frequency of shift in values of x(t); andthe feedback system causes the motorized device to apply a sensory feedback to the subject based on the stable driving function. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
- that indicates a rate of drift for values of x(t) and an independent second parameter β
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16. A method comprising:
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obtaining a time series of surface electromyography measurements sEMG(t) for each time t of a plurality of times from a particular location on a subject; determining on a processor a time series of a stable driving signal x(t) based on the measurements sEMG(t), further comprising applying a nonlinear filter that includes a first parameter α
that indicates a rate of drift for values of x(t) and an independent second parameter β
that indicates frequency of shift in values of x(t); andapplying a sensory feedback to the subject based on the stable driving function. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification