EMG diagnostic system and method

• US 8,032,210 B2
• Filed: 10/05/2006
• Issued: 10/04/2011
• Est. Priority Date: 10/06/2005
• Status: Expired due to Fees

• Current Assignee: Vdi Acquisition Corp.
• Original Assignee: SpineMatrix, Inc.
• Inventors: Biro, Timothy G., Finneran, Mark T.
• Primary Examiner(s): Hindenburg; Max
• Assistant Examiner(s): DANEGA, RENEE A
• Application Number:
  US11/539,102
• Publication Number:
  US 20070167859A1
• Time in Patent Office: 1,825 Days
• Field of Search: 600/546, 600/594, 600/382, 600/393, 600/595, 607/46, 607/100
• US Class Current: 600/546
• CPC Class Codes: A61B 2018/0044 Spinal cord
• CPC Class Codes: A61B 2562/0215 Silver or silver chloride containing
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/296 for electromyography [EMG]
• CPC Class Codes: A61B 5/30 Input circuits therefor
• CPC Class Codes: A61B 5/313 for electromyography [EMG]
• CPC Class Codes: A61B 5/4514 Cartilage

Abstract

A system for detecting and analyzing electrical activity in the anatomy of an organism underlying an electromyographic (EMG) sensor device provides signals corresponding to electrical activity adjacent each electrode of sensor device. A method using the system may comprise determining EMG data for a patient using the EMG sensor device. The method may further include determining whether the determined EMG data for the patient corresponds to predetermined EMG data associated with at least one of a facet condition, a disc condition, and a muscle condition.

Claims

1. A method comprising:

a) through operation of at least one processor, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device in operative connection with the at least one processor;

b) determining whether the EMG data for the patient determined in (a) is indicative of the patient having either;

i) a facet condition and not a disc condition;

or

ii) a disc condition and not a facet condition;

responsive to a comparison between the EMG data for the patient and predetermined data representative of characteristics in EMG data that distinguish between the facet condition and the disc condition.

2. The method according to claim 1, wherein (b) includes comparing the EMG data for the patient to the predetermined data, wherein the predetermined data includes data which is usable to determine that EMG data is indicative of which one of the facet condition, the disc condition, and a muscle condition, wherein indicia corresponding to the predetermined data is displayed on an object.

3. The method according to claim 2, wherein (b) includes determining, responsive to comparing the EMG data for the patient to the predetermined data, that the patient is associated with either the facet condition or the disc condition, and not the muscle condition.

4. The method according to claim 1, wherein (b) is carried out through operation of the at least one processor, further comprising:

c) through operation of the at least one processor, outputting through at least one display device in operative connection with the at least one processor, indicia indicating that the patient is associated with which one of the facet condition or the disc condition determined in (b).

5. The method according to claim 1, comprising:

determining a relative position of at least one grouping of portions in the detection area corresponding to a higher level of muscle contraction relative adjacent portions in the detection area.

6. The method according to claim 5, wherein prior to (b) further comprising:

(c) through operation of the at least one processor, displaying through a display device in operative connection with the processor, at least one image representative of the detection area, wherein the at least one image shows the relative position of the at least one grouping in the detection area corresponding to the relatively higher level of muscle contraction.

7. The method according to claim 6, further comprising:

adjusting the at least one image displayed in (c) to enable the relative position of the at least one grouping to be more visually distinguishable in the at least one image from the adjacent portions.

8. The method according to claim 1, wherein in (a) the sensor device comprises a flexible electrode array comprised of a plurality of electrodes.

9. A method comprising:

a)through operation of at least one processor, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device in operative connection with the at least one processor;

b) determining from the EMG data for the patient determined in (a), relative positions of at least two to three spaced apart groupings of portions in the detection area corresponding to relatively higher levels of muscle contraction relative to further portions in the detection area between the two to three groupings;

c) determining whether the EMG data for the patient determined in (a) corresponds to a facet condition or a disc condition responsive to predetermined data representative of characteristics in EMG data that distinguish between the facet condition and the disc condition, including determining that the groupings determined in (b) correspond to predetermined data associated with the disc condition.

10. A method comprising:

a) through operation of at least one processor, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device in operative connection with the at least one processor;

b) determining from the EMG data for the patient determined in (a), relative positions of three spaced apart groupings of portions in the detection area corresponding to relatively higher levels of muscle contraction relative to further portions in the detection area between the three spaced apart groupings, wherein two of the three determined groupings are generally horizontally aligned and are respectively located on opposed sides of the spine of the patient, wherein a third one of the three determined groupings traverses a vertebral column of the patient and is located vertically lower than the two horizontally aligned groupings;

c) determining whether the EMG data for the patient determined in (a) corresponds to a facet condition or a disc condition responsive to predetermined data representative of characteristics in EMG data that distinguish between the facet condition and the disc condition, including determining that the groupings determined in (b) correspond to predetermined data associated with the disc condition.

11. A method comprising:

a) through operation of at least one processor, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device in operative connection with the at least one processor;

b) determining from the EMG data for the patient determined in (a), a presence of only a single grouping of portions in the detection area indicative of relatively higher levels of muscle contraction relative to remaining portions in the detection area, wherein the single grouping traverses a vertebral column of the patient, wherein a center of the single grouping is spaced laterally from a longitudinal axis of the vertebral column of the patient;

c) determining whether the EMG data for the patient determined in (a) corresponds to a facet condition or a disc condition responsive to predetermined data representative of characteristics in EMG data that distinguish between the facet condition and the disc condition, including determining that the grouping determined in (b) corresponds to predetermined data associated with the facet condition.

12. A method comprising:

a) through operation of at least one processor, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient, using an EMG sensor device in operative connection with the at least one processor, including determining data representative of at least one maximum root mean square (RMS) voltage associated with the EMG signals;

b) determining whether the EMG data for the patient determined in (a) corresponds to a facet condition or a disc condition responsive to predetermined data representative of characteristics in EMG data that distinguish between the facet condition and the disc condition, including determining whether the data representative of the at least one maximum RMS voltage is above, below, or within at least one range of predetermined normal maximum RMS voltages.

13. The method according to claim 12, wherein the at least one range of predetermined normal maximum RMS voltages is selected responsive to at least one of percent ideal body weight and gender of the patient from a plurality of ranges of predetermined normal maximum RMS voltages corresponding respectively to data representative of at least one of different ranges of percent ideal body weight and different genders.

14. The method according to claim 13, wherein (b) includes determining that the EMG data for the patient is indicative of the facet condition responsive to determining that the data representative of the at least one maximum RMS voltage is below the at least one range of predetermined normal maximum RMS voltages.

15. The method according to claim 13, wherein (b) includes determining that the EMG data for the patient is indicative of the disc condition responsive to determining that the data representative of the at least one maximum RMS voltage is above the at least one range of predetermined normal maximum RMS voltages.

16. A method comprising:

a) detecting electromyographic (EMG) signals from a detection area on a back of a patient when the patient is in at least three different positions using an EMG sensor device in operative connection with at least one processor;

b) through operation of the at least one processor, determining EMG data for the patient responsive to the EMG signals detected in (a), including determining data representative of maximum root mean square (RMS) voltage associated with the EMG signals for each of the at least three different positions;

c) determining a sequence for the at least three different positions, which sequence corresponds to a sequence of the respective maximum RMS voltages determined for the at least three positions ordered by magnitude;

d) determining whether the EMG data for the patient determined in (b) corresponds to a facet condition or a disc condition responsive to a comparison between the sequence determined in (c) and at least one predetermined sequence that distinguishes between the facet condition and the disc condition.

17. The method according to claim 16, wherein (a) includes detecting EMG signals while the patient is standing:

in a first position with the back of the patient in a generally vertical orientation;

in a second position with the back of the patient bent forward with respect to the generally vertical orientation; and

in a third position with the arms of the patient held out in front of the patient while holding weights, wherein (d) includes determining that the EMG data for the patent is indicative of the disc condition responsive to determining that the sequence determined in (c) for the at least three different positions corresponding to lowest to highest maximum RMS voltage for the respective positions corresponds to an order of;

the first position, the third position, and the second position.

18. The method according to claim 16, wherein (a) includes detecting EMG signals while the patient is standing:

in a first position with the back of the patient in a generally vertical orientation;

in a second position with the back of the patient bent forward with respect to the generally vertical orientation; and

in a third position with the arms of the patient held out in front of the patient while holding weights, wherein (d) includes determining that the EMG data for the patient is indicative of the facet condition responsive to determining that the sequence determined in (c) for the at least three different positions corresponding to lowest to highest maximum RMS voltage for the respective positions corresponds to an order of;

the first position, the second position, and the third position.

19. A method comprising:

a) detecting electromyographic (EMG) signals from a detection area on a back of a patient using an EMG sensor device;

b) determining through operation of at least one processor, EMG data for the patient responsive to the EMG signals detected in (a);

c) comparing the EMG data for the patient to predetermined EMG data, wherein the predetermined EMG data correlates a plurality of back conditions to respective sets of features of EMG data, wherein the back conditions correlated in the predetermined EMG data include both a facet condition and a disc condition;

d) determining whether the EMG data for the patient is indicative of the facet condition and not the disc condition or the disc condition and not the facet condition, responsive to (c).

20. The method according to claim 19, wherein the at least one processor is in operative communication with at least one data store, wherein the at least one data store includes the predetermined EMG data stored therein, wherein the back conditions correlated in the predetermined EMG data include the facet condition, the disc condition, and a muscle condition;

wherein (a) includes detecting the EMG signals from the patient when the patient is in at least three different positions including at least one of;

in a first position with the back of the patient in a generally vertical orientation;

in a second position with the back of the patient bent forward with respect to the generally vertical orientation; and

in a third position with the arms of the patient held out in front of the patient while holding weights;

wherein (c) is carried out through operation of the at least one processor,

wherein (b) includes at least one of;

i) determining the relative positions of at least one grouping of portions in the detection area corresponding to relatively higher levels of muscle contraction relative further portions in the detection area adjacent the at least one grouping;

ii) determining data representative of at least one maximum RMS voltage associated with the EMG signals and determining whether the data representative of the at least one maximum RMS voltage is above, below, or within at least one range of predetermined normal maximum RMS voltages stored in the at least one data store;

iii) determining data representative of maximum RMS voltage associated with the EMG signals for each of the at least three different positions, determining a sequence for the at least three different positions, which sequence corresponds to a sequence of the respective maximum RMS voltages determined for the at least three positions ordered by magnitude;

wherein in (c) the predetermined EMG data stored in the at least one data store includes at least one of;

data which associates the facet condition with features of EMG data representative of the presence of only a single grouping of portions in the detection area indicative of relatively higher levels of muscle contraction relative remaining portions in the detection area, wherein the single grouping traverses the vertebral column of the patient, wherein a center of the single grouping is spaced laterally from a longitudinal axis of the vertebral column of the patient;

data which associates the disc condition with features of EMG data representative of the relative positions of at least two to three spaced apart groupings of portions in the detection area corresponding to relatively higher levels of muscle contraction relative further portions in the detection area between the two to three groupings;

data which associates the facet condition with features of EMG data representative of the at least one maximum RMS voltage being below the at least one range of predetermined normal maximum RMS voltages;

data which associates at least one of the disc condition or a muscle condition with features of EMG data representative of the at least one maximum RMS voltage being above the at least one range of predetermined normal maximum RMS voltages;

data which associates at least one of the facet condition and the muscle condition with features of EMG data representative of the sequence for the at least three different positions corresponding to lowest to highest maximum RMS voltage for the respective positions corresponding to an order of;

the first position, the second position, and the third position;

data which associates the disc condition with features of EMG data representative of the sequence for the at least three different positions corresponding to lowest to highest maximum RMS voltage for the respective positions corresponding to an order of;

the first position, the third position, and the second position;

further comprising;

e) outputting through at least one display device in operative connection with the at least one processor, indicia indicative of the determination in (d).

21. At least one non-transitory computer readable media including computer executable instructions operative to cause at least one computer to carry out a method comprising:

a) determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device;

b) comparing the EMG data for the patient determined in (a) to predetermined EMG data, wherein the predetermined EMG data defines characteristics in EMG data determined from EMG signals that are usable to distinguish between the facet condition and the disc condition; and

c) responsive to (b), determining whether the EMG data for the patient determined in (a) is indicative of either;

i) facet condition and not a disc condition;

or

ii) a disc condition and not a facet condition.

22. At least one non-transitory computer readable media including computer executable instructions operative to cause at least one computer to carry out a method comprising:

a) through operation of the at least one computer, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device;

b) through operation of the at least one computer, determining whether the EMG data determined in (a) is indicative of either;

i) a facet condition and not a disc condition;

or

ii) a disc condition and not a facet condition;

responsive to predetermined data representative of characteristics in EMG data that distinguish between a facet condition and a disc condition; and

c) through operation of the at least one computer, outputting through a display device, indicia indicative of the determination made in (b).

23. The media according to claim 22, wherein (b) includes determining that the EMG data for the patient is indicative of a facet condition and not a disc condition, responsive to the at least one computer determining that the EMG data indicates the presence of a single grouping of portions in the detection area corresponding to relatively higher levels of muscle contraction relative to remaining portions in the detection area, wherein the single grouping traverses the vertebral column of the patient, wherein a center of the single grouping is spaced laterally from a longitudinal axis of the vertebral column of the patient.

24. The media according to claim 22, wherein (b) includes determining that the EMG data for the patient is indicative of a disc condition and not a facet condition, responsive to the at least one computer determining that the EMG data indicates the presence of at least two to three spaced apart groupings of portions in the detection area corresponding to relatively higher levels of muscle contraction relative to further portions in the detection area between the two to three groupings.

25. The media according to claim 22, wherein (b) includes determining that the EMG data for the patient is indicative of a disc condition and not a facet condition, responsive to the at least one computer determining that the EMG data indicates the presence of three spaced apart groupings of portions in the detection area corresponding to relatively higher levels of muscle contraction relative to further portions in the detection area between the three spaced apart groupings, wherein two of the three determined groupings are generally horizontally aligned and are respectively located on opposed sides of the spine of the patient, wherein a third one of the three determined groupings traverses a vertebral column of the patient and is located vertically lower than the two horizontally aligned groupings.

26. The media according to claim 22, wherein in (a) the EMG data is determined from EMG signals from the patient when the patient is in at least three different positions, further comprising prior to (b):

d) through operation of the at least one computer, determining data representative of maximum RMS voltage associated with the EMG signals for each of the at least three different positions;

e) determining a sequence for the at least three different positions, which sequence corresponds to the at least three different positions being in an order from lowest magnitude to highest magnitude for the corresponding respective maximum RMS voltages determined for the at least three positions;

wherein the determination in (b) is carried out responsive to the sequence determined in (e), wherein the predetermined data associates the facet condition and the disc condition with respectively different orders of the at least three different positions for the sequence.

27. The media according to claim 26, wherein in (a) the at least three positions of the patient include:

in a first position with the back of the patient in a generally vertical orientation;

in a second position with the back of the patient bent forward with respect to the generally vertical orientation; and

in a third position with the arms of the patient held out in front of the patient while holding weights.

28. The media according to claim 27, wherein (b) includes determining that the EMG data for the patient is indicative of a facet condition and not a disc condition, responsive to the at least one computer determining that the sequence determined in (e) corresponds to predetermined data corresponding to an order of:

the first position, the second position, and the third position.

29. The media according to claim 27, wherein (b) includes determining that the EMG data for the patient is indicative of a disc condition and not a facet condition, responsive to the at least one computer determining that the sequence determined in (e) corresponds to predetermined data corresponding to an order of:

the first position, the third position, and the second position.

30. A method comprising:

a) through operation of at least one computer, determining electromyographic (EMG) data for a patient responsive to EMG signals detected from a detection area on a back of the patient using an EMG sensor device; and

b) determining whether the EMG data determined in (a) is indicative of either;

i) a facet condition and not a disc condition;

or

ii) a disc condition and not a facet condition;

when compared to predetermined data representative of characteristics in EMG data that distinguish between a facet condition and a disc condition.