Gathering and Analyzing Kinetic and Kinematic Movement Data

• US 20180092572A1
• Filed: 10/03/2017
• Published: 04/05/2018
• Est. Priority Date: 10/04/2016
• Status: Abandoned Application

• Current Assignee: ArthroKinetic Institute, LLC
• Original Assignee: ArthroKinetic Institute, LLC
• Inventors: Sanchez, Eric, Hayashida, Maury, Price, Daniel, deLaveaga, Daniel
• Application Number:
  US15/724,099
• Publication Number:
  US 20180092572A1
• Time in Patent Office: Days
• CPC Class Codes: A43B 17/00 Insoles for insertion, e.g. footbeds or inlays, for attachment to the shoe after the upper has been joined
• CPC Class Codes: A43B 3/34 with electrical or electronic arrangements
• CPC Class Codes: A43B 7/18 Joint supports, e.g. instep supports
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0223 Magnetic field sensors
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/112 Gait analysis
• 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 5/1126 using a particular sensing technique
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 2071/0625 Emitting sound, noise or music
• CPC Class Codes: A63B 2071/0655 Tactile feedback
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/803 : Motion sensors
• CPC Class Codes: A63B 2220/89 : Field sensors, e.g. radar systems
• CPC Class Codes: A63B 2225/50 : Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 24/0062 : Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 69/00 : Training appliances or apparatus for special sports training of parachutists B64D23/00
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: G06F 2218/12 : Classification; Matching
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: H04Q 2209/43 : using wireless personal area networks [WPAN], e.g. 802.15, 802.15.1, 802.15.4, Bluetooth or ZigBee
• CPC Class Codes: H04Q 2209/823 : where the data is sent when the measured values exceed a threshold, e.g. sending an alarm
• CPC Class Codes: H04Q 2209/826 : where the data is sent periodically
• CPC Class Codes: H04Q 2209/86 : Performing a diagnostic of the sensing device
• CPC Class Codes: H04Q 9/00 : Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

Systems and methods disclosed herein include receiving first data sent over a first wireless communication channel from a first inertial sensor positioned in or on a first shoe worn by a user, wherein the first data are generated when the user performs a fundamental movement; identifying a first phase of the fundamental movement by finding a match, within a first tolerance, between a portion of the first data and data characteristic of the first phase; comparing a feature from the portion of the first data to a corresponding feature from a pre-established signature associated with the first phase; and when the comparison yields a result that falls outside a pre-established threshold range, displaying an indication that the feature from the portion of the first data is uncharacteristic.

Claims

1. A method comprising:

receiving, by a processing device, first data sent over a first wireless communication channel from a first inertial sensor positioned in or on a first shoe worn by a user, wherein the first data are generated when the user performs a fundamental movement;

identifying, by the processing device, a first phase of the fundamental movement by finding a match, within a first tolerance, between a portion of the first data and data characteristic of the first phase;

comparing, by the processing device, a feature from the portion of the first data to a corresponding feature from a pre-established signature associated with the first phase; and

when the comparison yields a result that falls outside a pre-established threshold range, causing the processing device to display an indication that the feature from the portion of the first data is uncharacteristic.

2. The method of claim 1, further comprising:

identifying, by the processing device, a type of the fundamental movement by analyzing the first data.

3. The method of claim 1, further comprising:

receiving, by the processing device, an input that sets a type of the fundamental movement.

4. The method of claim 1 further comprising:

causing the processing device to provide a proposed adjustment to an orthotic worn by the user.

5. The method of claim 1, wherein the pre-established signature is established from data previously gathered from one or more subjects.

6. The method of claim 1, wherein the pre-established signature is established from data previously gathered from the user, and wherein the pre-established signature comprises a baseline signature for the user.

7. The method of claim 1, wherein the first inertial movement sensor is selected from the group consisting of accelerometers, gyrometers, and magnetometers.

8. The method of claim 1, further comprising:

receiving, by the processing device, second data sent over a second wireless communication channel from a second inertial sensor positioned in or on a second shoe worn by the user, wherein the second data are generated while the user performs the fundamental movement;

identifying, by the processing device, a second phase of the fundamental movement by finding a match, within a second tolerance, between a portion of the second data to a portion of the pre-established signature;

comparing a second feature from the portion of the second data to a corresponding feature from a pre-established signature associated with the second phase; and

when the comparison yields a second result that falls outside a second pre-established threshold range, causing the processing device to display an indication that the feature from the portion of the second data is uncharacteristic.

9. The method of claim 8, further comprising:

identifying a type of the fundamental movement by analyzing the first data and the second data.

10. A non-transitory computer-readable medium containing instructions executable by one or more processors of a computer system to:

receive, by a processing device, first data sent over a first wireless communication channel from a first inertial sensor positioned in or on a first shoe worn by a user, wherein the first data are generated when the user performs a fundamental movement;

identify, by the processing device, a first phase of the fundamental movement by finding a match, within a first tolerance, between a portion of the first data and data characteristic of the first phase;

compare, by the processing device, a feature from the portion of the first data to a corresponding feature from a pre-established signature associated with the first phase; and

when the comparison yields a result that falls outside a pre-established threshold range, cause the processing device to display an indication that the feature from the portion of the first data is uncharacteristic.

11. The non-transitory computer-readable medium of claim 10, wherein the instructions are further executable to identify, by the processing device, a type of the fundamental movement by analyzing the first data.

12. The non-transitory computer-readable medium of claim 10, wherein the instructions are further executable to receive, by the processing device, an input that sets a type of the fundamental movement.

13. The non-transitory computer-readable medium of claim 10, wherein the instructions are further executable to cause the processing device to provide a proposed adjustment to an orthotic worn by the user.

14. The non-transitory computer-readable medium of claim 10, wherein the pre-established signature is established from data previously gathered from one or more subjects.

15. The non-transitory computer-readable medium of claim 10, wherein the pre-established signature is established from data previously gathered from the user, and wherein the pre-established signature comprises a baseline signature for the user.

16. The non-transitory computer-readable medium of claim 10, wherein the first inertial movement sensor is selected from the group consisting of accelerometers, gyrometers, and magnetometers.

17. The non-transitory computer-readable medium of claim 10, wherein the instructions are further executable to:

receive, by the processing device, second data sent over a second wireless communication channel from a second inertial sensor positioned in or on a first shoe worn by a user, wherein the second data are generated when the user performs the fundamental movement;

identify, by the processing device, a second phase of the fundamental movement by finding a match, within a second tolerance, between a portion of the second data and data characteristic of the second phase;

compare, by the processing device, a feature from the portion of the second data to a corresponding feature from a pre-established signature associated with the second phase; and

when the comparison yields a result that falls outside a second pre-established threshold range, cause the processing device to display an indication that the feature from the portion of the second data is uncharacteristic.

18. The non-transitory computer-readable medium of claim 17, wherein the instructions are further executable to identify a type of the fundamental movement by analyzing the first data and the second data.

19. A system comprising:

a first inertial sensor positioned in or on a first shoe worn by a user, the first inertial sensor being configured to;

generate first data when the user performs a fundamental movement; and

transmit the first data through a first wireless communication channel; and

a processing device configured to;

receive the first data through the first wireless communication channel;

identify a first phase of the fundamental movement by finding a match, within a first tolerance, between a portion of the first data and data characteristic of the first phase;

compare a feature from the portion of the first data to a corresponding feature from a pre-established signature associated with the first phase; and

when the comparison yields a result that falls outside a pre-established threshold range, cause the processing device to display an indication that the feature from the portion of the first data is uncharacteristic.

20. The system of claim 19 additionally comprising:

a second inertial sensor positioned in or on a second shoe worn by a user, the second inertial sensor being configured to;

generate second data when the user performs a fundamental movement; and

transmit the second data through a second wireless communication channel;

wherein the processing device is further configured to;

identify a second phase of the fundamental movement by finding a match, within a second tolerance, between a portion of the second data and data characteristic of the second phase;

compare a feature from the portion of the second data to a corresponding feature from a pre-established signature associated with the second phase; and

when the comparison yields a result that falls outside a second pre-established threshold range, cause the processing device to display an indication that the feature from the portion of the second data is uncharacteristic.