EMG biofeedback traction modality for rehabilitation
First Claim
1. An adaptive traction modality with closed loop traction force control based on EMG biofeedback signals from a neuro-muscular lesion of a patient for rehabilitation, comprising:
- a main controller for the control of traction force;
a single channel high signal-to-noise ratio EMG scanner and signal processing units for receiving and processing EMG signals from the neuro-muscular lesion into displayable data;
a main controller/EMG scanner interface to provide a communication means between said main controller and said EMG scanner and signal processing units for closed loop traction force monitor and adjustment;
a traction force control interface to provide a communication means between said main controller and said traction modality for traction force control; and
a traction control window graphical display interface to display said data and to adjust traction force;
means for adaptively adjusting traction force based on EMG biofeedback signals includes entering the patient'"'"'s information through said graphical display interface to said main controller to calculate a upper and lower EMG control limits, receiving said EMG biofeedback signals from said lesion and comparing the same with said control limits to determine an optimal traction force for adaptive traction force control.
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Abstract
A new design of therapeutic traction modality with closed loop traction force control based on EMG signals from selected muscle is developed for rehabilitation. This modality includes main traction controller, a high signal-to-noise ratio EMG scanning and processing units, A/D and D/A computer interface hardware, on-line self-adjusted traction force actuating unit, biofeedback control software, and audio/visual alarms. This new traction modality provide a breakthrough milestone for the open loop control architecture of conventional motorized traction machine. The kernel of this invented modality is to adaptively adjusting traction force based on real time detected EMG signals to ensure the safety, comfort, and effectiveness of traction therapy.
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Citations
15 Claims
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1. An adaptive traction modality with closed loop traction force control based on EMG biofeedback signals from a neuro-muscular lesion of a patient for rehabilitation, comprising:
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a main controller for the control of traction force; a single channel high signal-to-noise ratio EMG scanner and signal processing units for receiving and processing EMG signals from the neuro-muscular lesion into displayable data; a main controller/EMG scanner interface to provide a communication means between said main controller and said EMG scanner and signal processing units for closed loop traction force monitor and adjustment; a traction force control interface to provide a communication means between said main controller and said traction modality for traction force control; and a traction control window graphical display interface to display said data and to adjust traction force; means for adaptively adjusting traction force based on EMG biofeedback signals includes entering the patient'"'"'s information through said graphical display interface to said main controller to calculate a upper and lower EMG control limits, receiving said EMG biofeedback signals from said lesion and comparing the same with said control limits to determine an optimal traction force for adaptive traction force control. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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Specification