Early Detection Of Neurodegenerative Disease

• US 20170258390A1
• Filed: 02/13/2017
• Published: 09/14/2017
• Est. Priority Date: 02/12/2016
• Status: Abandoned Application

• Current Assignee: Newton Howard
• Original Assignee: Newton Howard
• Inventors: Howard, Newton
• Application Number:
  US15/431,283
• Publication Number:
  US 20170258390A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Claims

1. A method for detection of neurodegenerative disease comprising:

measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life,

wherein measuring functioning of the motor system comprises;

placing a wearable body sensor system on the subject, the wearable body sensor system adapted to measure complex movements and object interaction of the subject in everyday living situations, and

gathering movement data with the wearable body sensor system,

wherein measuring functioning of the cognitive function comprises;

gathering cognitive function data comprising everyday speech data and neural oscillation detection, and

wherein measuring brain activity comprises;

gathering brain activity data comprising electro-encephalogram data; and

analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject,

wherein analyzing the gathered the motor system data comprises;

analyzing the gathered movement data to differentiate between healthy and impaired movements,

wherein analyzing the gathered cognitive function data comprises;

analyzing the gathered speech data for motor and non-motor correlations related to severity of the neurodegenerative disease data, and

analyzing the gathered neural oscillation detection data to measure motor and non-motor aspects, and

wherein analyzing the gathered brain activity comprises;

analyzing the gathered electro-encephalogram data related to severity of the neurodegenerative disease.

2. A computer program product for detection of neurodegenerative disease, the computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:

receiving data measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life,

wherein measuring functioning of the motor system comprises;

placing a wearable body sensor system on the subject, the wearable body sensor system adapted to measure complex movements and object interaction of the subject in everyday living situations, and

gathering movement data with the wearable body sensor system,

wherein measuring functioning of the cognitive function comprises;

gathering cognitive function data comprising everyday speech data and neural oscillation detection, and

wherein measuring brain activity comprises;

gathering brain activity data comprising electro-encephalogram data; and

analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject,

wherein analyzing the gathered the motor system data comprises;

analyzing the gathered movement data to differentiate between healthy and impaired movements,

wherein analyzing the gathered cognitive function data comprises;

analyzing the gathered speech data for motor and non-motor correlations related to severity of the neurodegenerative disease data, and

analyzing the gathered neural oscillation detection data to measure motor and non-motor aspects, and

wherein analyzing the gathered brain activity comprises;

analyzing the gathered electro-encephalogram data related to severity of the neurodegenerative disease.

3. A system for detection of neurodegenerative disease, the system comprising:

at least one of a wearable body sensor system, apparatus for gathering everyday speech data, apparatus for neural oscillation detection, and an electro-encephalogram apparatus;

a processor;

memory accessible by the processor;

computer program instructions stored in the memory and executable by the processor to perform;

receiving data measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life,

wherein measuring functioning of the motor system comprises;

placing the wearable body sensor system on the subject, the wearable body sensor system adapted to measure complex movements and object interaction of the subject in everyday living situations, and

gathering movement data with the wearable body sensor system,

wherein measuring functioning of the cognitive function comprises;

gathering cognitive function data comprising everyday speech data and neural oscillation detection with the apparatus for gathering everyday speech data and the apparatus for neural oscillation detection, and

wherein measuring brain activity comprises;

gathering brain activity data comprising electro-encephalogram data with the electro-encephalogram apparatus; and

analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject,

wherein analyzing the gathered the motor system data comprises;

analyzing the gathered movement data to differentiate between healthy and impaired movements,

wherein analyzing the gathered cognitive function data comprises;

analyzing the gathered speech data for motor and non-motor correlations related to severity of the neurodegenerative disease data, and

analyzing the gathered neural oscillation detection data to measure motor and non-motor aspects, and

wherein analyzing the gathered brain activity comprises;

analyzing the gathered electro-encephalogram data related to severity of the neurodegenerative disease.