Cognitive chair for monitoring Parkinson's disease progression

Patent metadata

Field	Value
Publication number	US-10390752-B2
Application number	US-201615274472-A
Country	US
Kind code	B2
Filing date	Sep 23, 2016
Priority date	Sep 23, 2016
Publication date	Aug 27, 2019
Grant date	Aug 27, 2019

Abstract

Embodiments include systems, methods, and computer program products for monitoring progression of Parkinson's disease. Aspects include receiving pressure data from a plurality of pressure sensors, the pressure sensors being positioned on a chair. Aspects also include analyzing the pressure data to determine the severity of a unified Parkinson's disease rating scale factor for a patient.

First claim

What is claimed is:

1. A computer-implemented method for assessing Parkinson's symptoms, the method comprising:
receiving, by a processor, pressure data from a plurality of pressure sensors, at least some of the plurality of pressure sensors are positioned on a seat of a chair and comprise a first conductive fabric layer, a layer of pressure sensitive electrically conductive material, and a second conductive fabric layer,
analyzing, by the processor, the pressure data to determine the severity of a unified Parkinson's disease rating scale factor for a patient, wherein analyzing the pressure data comprises classifying a degree to which the patient is experiencing a symptom with a machine learning model,
receiving, by the processor, a prior patient analysis, the prior patient analysis comprising a prior unified Parkinson's disease rating scale factor for the patient,
comparing, by the processor, the prior patient analysis to the severity of the unified Parkinson's disease rating scale factor,
calculating, based upon the comparison, an estimated progression of disease for the patient, and
outputting, to a user interface of a display, the pressure data, a sound status indicator comprising an ambient noise level, and a light status indicator comprising a light level.

2. The computer-implemented method of claim 1 , wherein the unified Parkinson's disease rating scale factor comprises the patient's ability to rise from a chair.

3. The computer-implemented method of claim 2 , the method comprising calculating, based upon the pressure data, a time for the patient to rise from the chair.

4. The computer-implemented method of claim 1 , the method comprising calculating, based upon the pressure data, a severity of tremors.

5. The computer-implemented method of claim 1 , the method comprising determining, based upon the pressure data, a posture of the patient and comparing the posture of the patient to a baseline posture.

6. The computer-implemented method of claim 1 , wherein each of the severity of the unified Parkinson's disease rating scale factor for the patient and the prior unified Parkinson's disease rating scale factor comprises an aggregate score between 0 and 108.

7. The computer-implemented method of claim 1 , wherein the chair further comprises a biosensor.

8. A computer program product for assessing Parkinson's symptoms, the computer program product comprising:
a computer readable storage medium readable by a processing circuit and storing program instructions for execution by the processing circuit for performing a method comprising:
receiving pressure data from a plurality of pressure sensors, at least some of the plurality of pressure sensors are positioned on a seat of a chair and comprise a first conductive fabric layer, a layer of pressure sensitive electrically conductive material, and a second conductive fabric layer,
analyzing the pressure data to generate the severity of a unified Parkinson's disease rating scale factor for a patient, wherein analyzing the pressure data comprises classifying a degree to which the patient is experiencing a symptom with a machine learning model,
receiving a prior patient analysis, the prior patient analysis comprising a prior unified Parkinson's disease rating scale factor for the patient,
comparing the prior patient analysis to the severity of the unified Parkinson's disease rating scale factor,
calculating an estimated progression of disease for the patient, and
outputting, to a user interface of a display, the pressure data, a sound status indicator comprising an ambient noise level, and a light status indicator comprising a light level.

9. The computer program product of claim 8 , wherein software is provided as a service in a cloud environment.

10. The computer program product of claim 8 , wherein the unified Parkinson's disease rating scale factor comprises the patient's ability to rise from a chair.

11. The computer program product of claim 10 , the method comprising calculating, based upon the pressure data, a time for the patient to rise from the chair.

12. The computer program product of claim 8 , the method comprising calculating, based upon the pressure data, a severity of tremors.

13. The computer program product of claim 8 , the method comprising determining, based upon the pressure data, a posture of the patient and comparing the posture of the patient to a baseline posture.

14. A processing system for assessing Parkinson's symptoms, comprising:
a processor in communication with one or more types of memory, the processor configured to:
receive pressure data from a plurality of pressure sensors, at least some of the plurality of pressure sensors are positioned on a seat of a chair and comprise a first conductive fabric layer, a layer of pressure sensitive electrically conductive material, and a second conductive fabric layer;
analyze the pressure data to determine the severity of a unified Parkinson's disease rating scale factor for a patient, wherein analyzing the pressure data comprises classifying a degree to which the patient is experiencing a symptom with a machine learning model;
receive a prior patient analysis, the prior patient analysis comprising a prior unified Parkinson's disease rating scale factor for the patient;
compare the prior patient analysis to the severity of the unified Parkinson's disease rating scale factor;
calculate an estimated progression of disease for the patient; and
output, to a user interface of a display, the pressure data, a sound status indicator comprising an ambient noise level, and a light status indicator comprising a light level.

15. The processing system of claim 14 , wherein the unified Parkinson's disease rating scale factor comprises the patient's ability to rise from the chair.

Assignees

• IBM

Inventors

• Ashoori Maryam
• Weisz Justin D

Classifications

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• A61B5/4082 Primary

  Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette · CPC title

• A61B5/1116

  Determining posture transitions · CPC title

• A61B2562/0247

  Pressure sensors · CPC title