EMG biofeedback traction modality for rehabilitation

• US 5,722,420 A
• Filed: 11/28/1995
• Issued: 03/03/1998
• Est. Priority Date: 11/28/1995
• Status: Expired due to Term

• Current Assignee: National Science Council
• Original Assignee: National Science Council
• Inventors: Lee, Ming-Yih
• Primary Examiner(s): Jaworski, Francis
• Application Number:
  US08/562,222
• Time in Patent Office: 826 Days
• Field of Search: 128/733, 601/23, 482/4-6
• US Class Current: 600/546
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61H 1/0218 Drawing-out devices suspension devices for supporting the patient in upright walking or standing position A61H3/008; orthopedic devices for non-surgical treatment A61F5/01; stretching fractured limbs A61F5/04
• CPC Class Codes: A61H 2201/1607 Holding means therefor
• CPC Class Codes: A61H 2230/60 Muscle strain, i.e. measured on the user, e.g. Electromyography [EMG]
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances

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.

Claims

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.

2. An adaptive traction modality according to claim 1 wherein said single channel high signal-to-noise ratio EMG scanner and signal processing units comprise a 60 Hz notch filter, a fourth order Butterworth band pass filters, a precise full wave rectifier, a second order passive Butterworth low pass filter and a calibration and amplifier to reduce undesirable background noise and argument the EMG signals.

3. An adaptive traction modality according to claim 1 wherein said traction control window graphical display interface comprises a graphical display interface consisting mainly of a traction control window, a status window, an EMG signals or patterns window, a traction weight window and a patient data window for on-line monitor and adjustment of traction force.

4. An adaptive traction modality according to claim 3 wherein said traction control window further comprises digital display means for displaying remaining traction time and current traction force during the traction.

5. An adaptive traction modality according to claim 4 wherein said traction control window further comprises digital control means for traction power on/off, traction start/stop, traction force adjustment, traction time adjustment, traction pull phase control and traction hold phase control.

6. An adaptive traction modality according to claim 4 wherein said digital display means for displaying remaining traction time and current traction force is adjustable and based on on-line monitoring and processing of the actual EMG signals from the neuro-muscular lesion.

7. An adaptive traction modality according to claim 3 wherein said status window comprises a warning signal display window, a status warning window and a warning record window to display a variety of warning messages when the actual EMG signals recorded from the neuro-muscular lesion exceeding a predetermined control limits resulting from improper traction control.

8. An adaptive traction modality according to claim 7 wherein said warning messages may be an visible digital display light, a red flashing light, a warning voice or any other audio sound effects.

9. An adaptive traction modality according to claim 3 wherein said EMG signals or patterns window comprises graphical display means for actual-time EMG signal patterns and an EMG sensitivity adjustment button to set up and adjust the detection limits for input signal display.

10. An adaptive traction modality according to claim 3 wherein said traction force window is capable of displaying a actual traction force produced by a traction actuator in traction pull and hold phases.

11. An adaptive traction modality according to claim 3 wherein said patient data window is capable of displaying a patient'"'"'s information such as name, medical record number, age, height, weight and prior system diagnostic data.

12. An adaptive traction modality according to claim 1 wherein said traction force control interface comprises an analog signal control box adjustably attached on a traction platform frame wherein said analog signal control box comprises a plurality of programmable electrical switches which are, individually and respectively, capable of controlling the power on/off, the traction force adjustments, the start/stop modes and the traction pull/hold interruption signals of a traction actuator.

13. An adaptive traction modality according to claim 1 wherein said traction modality is physically integrated with a treatment chair to form a single operable traction unit comprising a main computer monitor fixedly installed on a supporting frame which is rotatably mounted to a front extension frame of the treatment chair, a case which is perpendicularly fixed to a rear extension frame of the treatment chair for the mounting of a tractor control box and an EMG scanner and electronic control buttons fixedly installed on the front arm portion of the treatment chair for conveniently controlling the movement of the main computer monitor and the backward or forward sidings of the chair.

14. An adaptive traction modality according to claim 13 wherein a series of said single operable traction units are further connected to and networked together with a main controller to form a centralized traction control system.

15. An adaptive traction modality according to claim 1 further comprises a multimedia audiovisual system to produce a series of pleasant and scenic background pictures on a monitor or to broadcast a series of soft and gentle music through an amplifier during the traction therapy to create a biofeedback traction system to ease a patient'"'"'s overly excited muscle activity and to enhance therapeutic effects.