Detection Of Disease Using Gesture Writing Bio-Markers

• US 20160262664A1
• Filed: 03/10/2016
• Published: 09/15/2016
• Est. Priority Date: 03/10/2015
• Status: Abandoned Application

• Current Assignee: Michael Linderman
• Original Assignee: Michael Linderman
• Inventors: Linderman, Michael
• Application Number:
  US15/067,169
• Publication Number:
  US 20160262664A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/1101 Detecting tremor
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/224 Measuring muscular strength
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4058 for evaluating the central nervous system A61B5/4806, A61B5/4821 take precedence
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/6806 Gloves
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity

Abstract

A method, system and apparatus for detecting a disorder of the central nervous system, comprises: recording an EMG from muscle groups on left and right hands of patient; separating a gesture writing action into time intervals of postural and writing activity; recording EMG activity from the same muscle groups during a resting time period; determining a plurality of indicators, comprising: identifying tremor peaks in EMG spectral density; determining muscle tone like stiffness from EMG spectral density determining muscle weakness from EMG intensities; determining patterns of correlation waves; determining a delay from when a subject started writing after hearing an audio signal; determining the time of writing activity, when a pen is touching a tablet; determining the heights and shapes of characters from pen traces on a tablet; and assigning a point value to every indicator and calculating a combined score based on the point values.

Claims

1. A method of detecting a disorder of the central nervous system, comprising:

recording an EMG from muscle groups on left and right hands of patient;

separating a gesture writing action into time intervals of postural and writing activity;

recording EMG activity from the same muscle groups during a resting time period;

determining a plurality of indicators, comprising;

identifying tremor peaks in EMG spectral density from more than one muscle group in each hand using separate time intervals;

determining muscle tone like stiffness from EMG spectral density and in more than one muscle group using the separate time intervals;

determining muscle weakness from EMG intensities in each time phase in more than one of the muscle group using the separate time intervals;

determining patterns of correlation waves in more than one of the muscle groups using the separate time intervals;

determining a delay when a subject started writing after hearing an audio signal;

determining the time of writing activity, when a pen is touching a tablet;

determining the heights and shapes of characters from pen traces on a tablet; and

assigning a point value to every indicator and calculating a combined score based on the point values.

2. A method of detecting a disorder of the central nervous system, comprising:

recording an EMG from muscle groups on left and right hands of a patient over time intervals, while the patient engages in writing activity;

dividing the time intervals into periods of postural and writing activity;

recording EMG activity from the same muscle groups during a resting time period;

determining a plurality of indicators, comprising;

identifying tremor peaks in EMG spectral density from more than one muscle groups in each hand using separate time intervals;

determining muscle tone like stiffness from EMG spectral density and in more than one muscle groups using the separate time intervals;

determining muscle weakness from EMG intensities in each time phase in more than one of the muscle groups using the separate time intervals;

determining patterns of correlation waves in more than one of the muscle groups using the separate time intervals; and

assigning a point value to every indicator and calculating a score based on the point values.

3. The method of detecting a disorder of the central nervous system of claim 2, wherein the EMG is measured from two channels in each hand.

4. The method of detecting a disorder of the central nervous system of claim 3, wherein the disorder is Parkinson'"'"'s disease.

5. A method of detecting a disorder of the central nervous system, comprising:

recording an EMG from muscle groups on left and right hands of a patient over time intervals, while the patient engages in writing activity;

dividing the time intervals into periods of postural and writing activity;

recording EMG activity from the same muscle groups during a resting time period;

wherein during the writing activity or rest, the disorder exhibits any of;

tremor in each of the muscle groups at rest or in postural, stiffness in any of the muscle groups of any hand during postural or at rest, and weakness in akinesia or bradykinesia.