Intelligent apparatus for patient guidance and data capture during physical therapy and wheelchair usage

• US 10,182,766 B2
• Filed: 01/29/2016
• Issued: 01/22/2019
• Est. Priority Date: 10/16/2013
• Status: Active Grant

• Current Assignee: University of Central Oklahoma
• Original Assignee: University of Central Oklahoma
• Inventors: Fu, Jicheng, Haff, Maurice
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): Pellett, Daniel T
• Application Number:
  US15/010,604
• Publication Number:
  US 20160143593A1
• Time in Patent Office: 1,089 Days
• Field of Search: None
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/6828 Leg
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• 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: A61G 2203/10 characterised by specific control means, e.g. for adjustment or steering
• CPC Class Codes: A61G 5/1067 adjusting the backrest relative to the seat portion
• CPC Class Codes: A61G 5/1075 tilting the whole seat backwards tilting forwards for standing-up or sitting-down aids A61G5/14
• CPC Class Codes: A61G 7/057 Arrangements for preventing bed-sores or for supporting patients with burns, e.g. mattresses specially adapted therefor ventilation openings in mattresses A47C21/042; pneumatic or hydraulic mattresses A47C27/08
• CPC Class Codes: G05B 2219/36442 Automatically teaching, teach by showing
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system for guiding and evaluating physical positioning, orientation and motion of the human body, comprising: a cloud computing-based subsystem including an artificial neural network and spatial position analyzer said cloud computing-based subsystem adapted for data storage, management and analysis; at least one motion sensing device wearable on the human body, said at least one motion sensing device adapted to detect changes in at least one of spatial position, orientation, and rate of motion; a mobile subsystem running an application program (app) that controls said at least one motion sensing device, said mobile subsystem adapted to capture activity data quantifying said changes in at least one of spatial position, orientation, and rate of motion, said mobile subsystem further adapted to transfer said activity data to said cloud computing-based subsystem, wherein said cloud computing-based subsystem processes, stores, and analyzes said activity data.

Claims

1. A system for guiding and evaluating physical positioning, orientation and motion of a human patient during physical therapy, comprising:

a cloud computing-based subsystem, said subsystem including an artificial neural network and spatial position analyzer, said artificial neural network and said spatial position analyzer determining personalized boundary values for at least one of said physical positioning, orientation, and motion of said patient, achieved independent of personal mobility devices aiding said positioning, orientation, and motion, and outputting said values;

at least one of a wearable garment, head gear, or body attachment instrumented with at least one gyroscopic motion sensing device and at least one processing module, said at least one motion sensing device detecting changes and rate of changes in motion, including at least one of said physical positioning, orientation, and movement when worn on said patient, and said at least one processing module receiving from said motion sensing device unprocessed motion change indicators and angle changes between at least two vectors relative to any reference physical orientation of said patient, and outputting said indicators and changes;

a mobile subsystem receiving personalized boundary values from said cloud computing-based subsystem and receiving said angle changes between at least two vectors relative to any reference physical orientation from said wearable garment, said mobile subsystem comparing said angle changes with said boundary values to quantify degree of deviation, and, thereafter, creating a patient record comprising said changes and said rate of changes in at least one of said physical positioning, orientation, and movement, and transmitting said patient record to said cloud computing-based subsystem,

said mobile subsystem further providing actionable aural guidance to said patient in substantially real-time to at least one of limiting or actuating changes and said rate of changes in at least one of physical positioning, orientation, and motion relative to said boundary values, and

said actionable aural guidance provided to said patient including corrective indicators directed to patient performance adjustments to achieve therapeutic motion technique and preclude injury, said indicators responsive to said degree of deviation from said personalized boundary values and gaged patient response to said guidance during prescribed therapeutic exercise.

2. The system of claim 1, wherein said mobile subsystem further includes at least an artificial neural network and spatial position analyzer to operating independently without interacting with said cloud computing-based subsystem.

3. The system of claim 1, wherein said at least one motion sensing device is adapted to mount in a position on said at least one of said garment or body attachment so that arm movements can be measured during physical therapy.

4. The system of claim 1, wherein said at least one motion sensing device mounted on said at least one of said garment or body attachment so that leg movements can be measured during physical therapy.

5. The system of claim 1, wherein said cloud computing-based subsystem includes a specific purpose graphical user interface that displays said patient record and enables monitoring and analysis as to whether patients follow prescribed therapeutic guidelines.

6. The system of claim 1, wherein said boundary values are personalized for a specific individual person.