Method of and apparatus for monitoring of muscle activity

• US 8,160,689 B2
• Filed: 03/31/2004
• Issued: 04/17/2012
• Est. Priority Date: 04/01/2003
• Status: Expired due to Term

• Current Assignee: Sunstar Suisse S.A (Hosei Gijuku Luxembourg SA)
• Original Assignee: Medotech A/S
• Inventors: Jadidi, Faramarz
• Primary Examiner(s): SZMAL, BRIAN SCOTT
• Application Number:
  US10/552,366
• Publication Number:
  US 20060184059A1
• Time in Patent Office: 2,939 Days
• Field of Search: 600544-546, 600 26- 28, 600/521, 600/509, 600/554, 600/548, 434/112, 434/236, 434/262, 434/308, 434/322, 434/323, 340/825.19, 345/157, 128/908, 607/48, 607/63, 844/54, 844/55, 844/77.R, 84D/IG.18
• US Class Current: 600/546
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/347 Detecting the frequency distribution of signals
• 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 5/4557 Evaluating bruxism
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

Apparatus for monitoring muscle activity, apparatus comprising means for providing signals indicative of muscle activity, for example EMG-signals, means for processing of signals in order to detect a particular activity and means for providing a feedback signal, wherein device is designed in order to be individually adaptable in a set-up mode. The apparatus can be used for detecting and prevention of undesired activities such as bruxism, movements that are damaging or unwanted etc. The detection can be performed with great certainty since the individual parameters of the user are utilized for laying down reference values, threshold values, criteria for triggering of feedback signals, etc., which may take place at a set-up procedure.

Claims

1. An apparatus for detecting bruxism and providing feedback to a user, said apparatus comprising:

I. a sensor system which is operable in a set-up mode and in a use mode;

A. wherein when said sensor system is in the set-up mode it is operable to;

(i) measure a first level of muscular activity of a user'"'"'s jaw associated with a level of a biting force and generate a first signal corresponding thereto; and

(ii) measure a second level of muscular activity of a user'"'"'s jaw associated with normally occurring, non-biting jaw activity and generate a second signal corresponding thereto;

B. and wherein when said sensor system is in the use mode, it is operable to measure the muscular activity of a sleeping user'"'"'s jaw and generate a third signal corresponding thereto;

II. a signal processor which is in communication with said sensor system and is operable to receive said first and second signals generated when said sensor system is in the set-up mode and calculate and store a threshold level of muscular activity which is less than 100% of the first level of muscular activity, but more than the second level of muscular activity; and

III. a feedback signal generator which is in communication with said signal processor and with said sensor system when said sensor system is in said use mode, said feedback signal generator being operable to receive said third signal from said sensor system, generate a feedback signal, and direct said feedback signal to said sleeping user if the level of muscular activity measured by said sensor system exceeds the threshold level of muscular activity calculated by said signal processor.

2. The apparatus of claim 1 wherein said signal processor is operable to calculate a threshold level of muscular activity which is in the range of 3-20% of the first level of measured activity.

3. The apparatus of claim 1, wherein said sensor system is operable in said set-up mode to measure a first level of muscular activity which is associated with a maximum level of biting force.

4. The apparatus of claim 1, wherein said sensor system is operable in said set-up mode to measure a second level of muscular activity which is associated with a grimace.

5. The apparatus of claim 1 wherein said feedback signal generator is operable to generate said feedback signal only if said measured level of muscular activity exceeds said threshold for a predetermined period of time.

6. The apparatus claim 1, wherein said feedback signal generator includes a control system for controlling the duration and/or intensity of said feedback signal.

7. The apparatus of claim 1, wherein said sensor system is operable to detect EMG signals.

8. The apparatus of claim 1, wherein said sensor system is operable to detect acoustic signals.

9. The apparatus of claim 1, wherein said apparatus is operable to store data derived from said sensor system and/or said signal processor and/or said feedback signal generator.

10. The apparatus of claim 9, further including a computer and a system for transferring said stored data thereto.

11. The apparatus of claim 1, further comprising a user module configured to be worn on a user'"'"'s head.

12. The apparatus of claim 1, further comprising a slave module and a master module, said slave module being configured to be worn by a human being.

13. The apparatus of claim 1, further comprising a display device operable to display information and/or results derived from said sensor system and/or said signal processor and/or said threshold signal generator.

14. The apparatus of claim 1, wherein said signal processor is further operable to perform pattern recognition.

15. The apparatus of claim 1, wherein said apparatus is operable to store said threshold level of muscular activity in an associated, non-transitory memory.

16. The apparatus of claim 1, wherein said signal processor is operable to perform a Fast Fourier Transform analysis of signals from the sensor system.

17. The apparatus of claim 1, wherein said apparatus is configured to perform frequency pattern recognition of signals from said sensor system.

18. The apparatus of claim 17, wherein said apparatus is configured to perform frequency pattern recognition by comparing the frequency content of said signals to stored frequency patterns of muscular activity relating to bruxism.

19. The apparatus of claim 17, wherein said apparatus is configured to perform frequency pattern recognition by comparing one or more harmonic frequencies of said signals to a stored frequency pattern of muscle activity.

20. The apparatus of claim 19, wherein a first harmonic frequency and/or a second and third harmonic frequencies of said one or more harmonic frequencies are compared to the stored frequency pattern of the muscle activity relating to bruxism.

21. The apparatus of claim 1, wherein said signal processor is operable to determine the amplitude of the frequency content of signals from said sensor system.

22. The apparatus of claim 1, wherein said signal processor is operable to carry out low pass filtering of signals from said sensor system so as to filter out noise and unusable signals.

23. The apparatus of claim 1, wherein said signal processor is operable to average and/or rectify signals from said sensor system.

24. The apparatus of claim 1 wherein said apparatus is operable to accumulate data and determine and store frequency patterns corresponding to muscular activity and relating to bruxism.

25. A method for detecting bruxism and providing feedback to a sleeping user, said method comprising the steps of:

measuring a first level of muscular activity of a user'"'"'s jaw associated with a level of biting force, and generating a first signal corresponding thereto;

measuring a second level of muscular activity of a user'"'"'s jaw associated with normally occurring jaw activity, and generating a second signal corresponding thereto;

calculating a threshold level of muscular activity of the jaw which is less than 100% of the first level of measured activity, but more than the second level of measured activity;

measuring a third level of muscular activity of a user'"'"'s jaw in real time while the user is asleep, and generating a third signal corresponding thereto;

determining if the third level of muscular activity of said user'"'"'s jaw exceeds said threshold level; and

when said third level exceeds said threshold,

providing a feedback signal to said sleeping user.

26. The method of claim 25, wherein the step of calculating a threshold level of muscular activity of the jaw comprises:

calculating a threshold level of muscular activity of the jaw which is in the range of 3-20% of the first level of measured activity, but more than the second level of measured activity.