Non-invasive deep muscle electromyography

• US 9,687,168 B2
• Filed: 07/29/2010
• Issued: 06/27/2017
• Est. Priority Date: 07/30/2009
• Status: Expired due to Fees

• Current Assignee: South African Medical Research Council, University Of Cape Town
• Original Assignee: South African Medical Research Council, University Of Cape Town
• Inventors: John, Lester Ryan
• Primary Examiner(s): HENSON, DEVIN B
• Application Number:
  US13/387,897
• Publication Number:
  US 20120184838A1
• Time in Patent Office: 2,525 Days
• Field of Search: 600372, 600382, 600386, 600393
• CPC Class Codes: A61B 2562/043 in a linear array
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography
• 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: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G06F 2218/22 Source localisation; Inverse modelling

Abstract

A method and apparatus for conducting electromyography of a deep muscle non-invasively are provided. An array of suitable surface electromyography electrodes is arranged in one or more rings encircling a part of the human body in which a deep muscle being investigated is located. The potential of at least selected electrodes relative to another electrode selected from a common reference electrode (mono-polar) and other electrodes (bi-polar) in the array is recorded and the data is processed in respect of the recorded potentials of at least some of said selected electrodes in order to determine (optionally using approximations or algorithms, or both) the contribution being made by at least the deep muscle being investigated. Typically, this is done mathematically by resolving the electromyography signals into their constituent components using a suitable technique. Preferably, this is integrated with a static muscle imaging device that may use the same electrodes to obtain a static tomogram of the muscles encircled.

Claims

1. A method of conducting electromyography of a deep muscle of a patient non-invasively comprising:

applying an array of mono-polar surface electromyography electrodes to the skin of a patient at a location that includes the deep muscle and superficial muscles;

recording electrical potentials of selected electrodes relative to at least one other electrode, the method being characterised in that the array of electrodes is arranged in one or more rings encircling a circumference of a part of the body of the patient in which the superficial muscles and the deep muscle being investigated are located;

recording the potential of at least selected electrodes relative to another electrode selected from a common reference electrode and other electrodes in the array;

processing the recorded potentials of at least some of said selected electrodes in order to determine, using approximations or algorithms, or both, a contribution being made by at least said deep muscle being investigated; and

wherein the contributions to the potentials of the electrodes attributable to each of the muscles encircled by the array including the superficial muscles is determined mathematically by resolving the electromyography signals into constituent components using a technique selected from independent component analysis (ICA) and an unmixing or matrix inversion technique to result in a derivation of the electromyography waveforms of both the deep and the superficial muscles.

2. A method as claimed in claim 1 in which the deep muscles are identified by selecting specific movement protocols.

3. A method as claimed in claim 1 in which the determined contribution made by the deep muscle being investigated are integrated with results of a static muscle imaging device using the same electrodes to obtain a static tomogram of the superficial muscles encircled.

4. A method as claimed in claim 3 in which the static tomogram is co-registered with a dipole decomposition of the recorded potentials.

5. A method as claimed in claim 3 in which the static muscle imaging device is selected from an electrical impedance tomography device, an ultrasound device, a computed tomography device (CT), and a magnetic resonance imaging device (MRI).

6. Apparatus for carrying out a method as claimed in claim 1 comprising multiple surface electromyography electrodes having flexible conductors connecting them individually to a processing unit configured to carry out an independent component analysis or suitable un-mixing or matrix inversion technique on the potentials of the electrodes recorded in order to provide an electromyography waveform of at least one deep muscle encircled by one or more rings of multiple electrodes secured to the skin of the human body, in use.

7. A method of conducting non-invasive electromyography of a deep muscle of a patient, comprising the steps of:

applying an array of mono-polar surface electromyography electrodes to the skin of the patient, wherein the array includes a plurality of surface electromyography electrodes arranged in one or more rings that encircle a circumference of a part of the human body in which both superficial muscles and the deep muscle being investigated are located;

recording electrical potentials of selected electrodes relative to at least one other electrode selected from either a common reference electrode or another surface electromyography electrode in the array; and

processing the recorded potentials of at least some of the selected electrodes using approximations or algorithms to determine a contribution made by at least the deep muscle being investigated.