Method and device for measuring muscle signals

• US 9,844,697 B2
• Filed: 04/23/2013
• Issued: 12/19/2017
• Est. Priority Date: 04/27/2012
• Status: Active Grant

• Current Assignee: Fibrux Oy
• Original Assignee: Fibrux Oy
• Inventors: Herrala, Mika, Tavi, Pasi, Mantyjarvi, Jani, Vahasoyrinki, Mikko
• Primary Examiner(s): Dvorak, Linda
• Assistant Examiner(s): Cardinal, Erin M
• Application Number:
  US14/397,480
• Publication Number:
  US 20150165269A1
• Time in Patent Office: 1,701 Days
• Field of Search: 600393, 600372, 600382, 600384, 600386-392, 600546
• CPC Class Codes: A61B 2560/0431 Portable apparatus, e.g. comprising a handle or case
• CPC Class Codes: A61B 2562/0215 Silver or silver chloride containing
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/296 for electromyography [EMG]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance

Abstract

In order to determine the state of a muscle between a normal non-tired state, a tired state and a passive involuntary tension state, a signal from the muscle is recorded at rest by using an electrode arrangement, where an earth body may prevent the electrodes from picking up signals beyond the extent of the earth body. The frequency content of the signal is determined by spectral analysis, e.g. by computing a moment of the spectrum. A normal frequency content indicates a non-tired muscle state, whereas a low and a high frequency content indicate a tired and a passive involuntary tension muscle state. A mapping is used to improve accuracy of state determination, e.g. with a reference database.

Claims

1. An apparatus for measuring a skeletal muscle signal, comprising:

electrodes of conducting material configured to be disposed on and make contact with a skin surface when said apparatus is operated, said electrodes forming at least two pairs of electrodes for picking up the skeletal muscle signal, wherein a distance between electrodes in respective ones of said at least two pairs of electrodes is different, thereby creating a different depth sensitivity for respective pairs of the said at least two pairs of electrodes;

an electrical insulator configured to be disposed on and make contact with the skin surface, the electrical insulator surrounding at least one of said electrodes disposed on the skin surface; and

an earth body of a conducting material configured to be disposed on and make contact with the skin surface when said apparatus is operated, the earth body having an inner perimeter that defines an open interior area on the skin surface, said inner perimeter of the earth body surrounding said electrodes together as at least two pairs within the open interior area, the earth body configured to limit said at least two pairs of electrodes from picking up a signal along the skin surface generated from outside of an extent of said earth body;

electronics to receive and handle signals from said at least two electrode pairs, and

wherein said earth body encompasses said electronics to receive and handle signals from said at least two electrode pairs.

2. An apparatus according to claim 1, wherein the at least two pairs of said electrodes are arranged in either a linear setting essentially along one line or in a crossed setting, in which straight lines between electrodes in each of the at least two pairs of electrodes form a straight angle cross.

3. An electrode device for measuring skeletal muscle signals, said electrode device comprising:

electrodes of conducting material arranged to make contact with a skin surface when said electrode device is used, said electrodes forming at least two electrode pairs for picking up the skeletal muscle signals, wherein a distance between electrodes in respective ones of said at least two pairs of electrodes is different, thereby creating a different depth sensitivity for respective pairs of the said at least two pairs of electrodes,

an electrical insulator configured to be disposed on the skin surface and surrounding at least one of said electrodes,

an earth body of a conducting material configured to be disposed on and make contact with the skin surface when said electrode device is used, the earth body having an inner perimeter that defines an open interior area along the skin surface, said inner perimeter of the earth body surrounding the electrical insulator and said electrodes together as at least two pairs within the open interior area, the earth body configured to limit said at least two pairs of electrodes from picking up a signal along the skin surface that is generated from outside of an extent of said earth body, and

electronics to receive and handle the muscle signals from said at least two electrode pairs, wherein said earth body essentially encompasses said electronics.

4. An electrode device according to claim 3 comprising said at least two pairs of electrodes in total wherein said at least two pairs of electrodes are arranged in either a linear setting essentially along one line or in a crossed setting, in which straight lines between electrodes in each of the at least two pairs of electrodes form a straight angle cross.

5. An electrode arrangement for use in a skeletal muscle state analyzer, said electrode arrangement comprising:

electrodes of conducting material configured to be applied to and make contact with a skin surface when said electrode arrangement is operated, said electrodes forming at least two pairs of electrodes for picking up a skeletal muscle signal, wherein a distance between electrodes in respective ones of said at least two pairs of electrodes is different, thereby creating a different depth sensitivity for respective pairs of the at least two pairs of electrodes,

an electrical insulator configured to be disposed on the skin surface and surrounding at least one of said electrodes disposed on the skin surface, and

an earth body of a conducting material configured to be disposed on and make contact with the skin surface when said electrode arrangement is operated, the earth body having an inner perimeter that defines an open interior area along the skin surface, said inner perimeter of the earth body surrounding the electrical insulator and said electrodes together as at least two pairs within the open interior area along the skin surface, the earth body configured to limit said at least two pairs of electrodes from picking up a signal along the skin surface that is generated from outside of an extent of said earth body; and

electronics to receive and handle signals from said at least two electrode pairs, and wherein said earth body is arranged to essentially encompass said electronics.

6. An electrode arrangement according to claim 5, wherein the at least two pairs of said electrodes are arranged in either a linear setting essentially along one line or in a crossed setting, in which straight lines between electrodes in each of the at least two pairs of electrodes form a straight angle cross.

7. The electrode arrangement of claim 5, wherein an area between individual ones of the electrodes is free of the earth body.

8. The electrode arrangement of claim 5, wherein the at least two electrode pairs form a group of electrodes and an extent of the earth body surrounding the group of electrodes is limited to a perimeter region of the group of electrodes.

9. A method for analyzing skeletal muscle signals, the method comprising:

measuring a signal from a skeletal muscle using the electrode arrangement according to claim 5,

determining a measure indicative of frequency content of said signal,

determining a measure indicative of strength of said signal in a high frequency, wherein said high frequency essentially corresponds to frequencies produced by the skeletal muscle in a passive involuntary tension state, and wherein said high frequency is higher in frequency than a normal frequency, wherein said normal frequency essentially corresponds to frequencies produced by the skeletal muscle in a non-tired state,

creating a mapping using said measure indicative of strength and a reference function, said reference function being indicative of skeletal muscle states, and

determining a skeletal muscle state based on said mapping.

10. A method according to claim 9, comprising:

using said mapping and said reference function to determine a prediction of skeletal muscle state progression in time.

11. A method according to claim 9, comprising:

receiving a plurality of skeletal muscle signals from at least two different skeletal muscle states, and

determining said measure indicative of strength for said plurality of skeletal muscle signals,

determining a skeletal muscle state estimate based on result of said mapping.

12. A method according to claim 9, wherein said reference function is based on a population database of skeletal muscle states, such that a number of individuals is measured to create said database, or an individual is measured a plurality of times to create said database.

13. A method for analyzing skeletal muscle signals, said method comprising:

acquiring a signal from a skeletal muscle at rest from a top of said skeletal muscle using an electrode arrangement according to claim 5,

determining a moment value of a spectrum of said signal, wherein said moment is indicative of a measure determined by multiplying a frequency value of a frequency bin with an amplitude value of the same bin to form a bin product and summing bin products for different frequencies, and wherein said moment value corresponds to frequency content of said signal,

determining whether said moment has a normal value, a low value or a high value, corresponding to a normal, low and high frequency content of said signal, respectively,

determining that the skeletal muscle is in a non-tired state if said moment has the normal value,

determining that the skeletal muscle is in a tired state if said moment has the low value,

determining that the skeletal muscle is in a passive involuntary tension state if said moment has the high value, and

guiding an exercise using a determined state of said skeletal muscle.