PATIENT ACTIVITY MONITORING SYSTEMS AND ASSOCIATED METHODS

• US 20150045700A1
• Filed: 08/11/2014
• Published: 02/12/2015
• Est. Priority Date: 08/09/2013
• Status: Abandoned Application

• Current Assignee: University of Washington
• Original Assignee: University of Washington
• Inventors: Cavanagh, Peter R., Manner, Paul, Hanson, Andrea, Bykov, Alexandre
• Application Number:
  US14/456,848
• Publication Number:
  US 20150045700A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/4528 Joints A61B5/4533, A61B5/4538 take precedence
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• 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: A61B 5/749 Voice-controlled interfaces
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Systems for monitoring patient activity and associated methods and systems are disclosed herein. In one embodiment, the system can be configured to receive data indicative of motion of a joint acquired by a sensor positioned proximate a patient'"'"'s joint. The system can detect patterns in the acquired data, and match corresponding patient activities to the detected patterns. The system can generate a report listing the patient activities, which can be transmitted to the patient'"'"'s medical practitioner.

Claims

1. A patient activity monitoring device, the device comprising:

a first body and a second body, wherein the first and second bodies are configured to be positioned proximate a joint of a human patient;

a flexible, elongate member extending from the first body toward the second body;

a first sensor disposed in the first body, wherein the first sensor is configured to acquire data indicative of motion of the patient;

a second sensor extending through the elongate member from the first body toward the second body, wherein the second sensor is configured to acquire data indicative of a flexion of the joint of the patient; and

a transmitter coupled to the first and second sensors, wherein the transmitter is configured to wirelessly transmit the data acquired from the first and second sensors to a computer.

2. The device of claim 1 wherein the computer is housed in a mobile device, and wherein the mobile device is configured to receive touch input from the patient, and wherein the mobile device is further configured to transmit the acquired data from the first and second sensors and the touch input data to a remote server communicatively coupled to a medical information system.

3. The device of claim 1 wherein the first sensor includes one or more accelerometers, and wherein the second sensor includes a goniometer.

4. The device of claim 1 wherein the first body, the second body and the elongate member are integrated into an article of clothing.

5. The device of claim 1 wherein the elongate member is configured to have a stiffness substantially less than a stiffness of the patient'"'"'s joint.

6. The device of claim 1, further comprising

a control surface configured to receive touch input from the patient;

and

one or more visual indicators.

7. The device of claim 1, further comprising one or more microphones configured to receive audio input from the patient.

8. A system for monitoring a patient, the system comprising:

a receiver configured to receive data indicative of motion of a joint, wherein the data is acquired by a sensor positionable on the patient proximate the joint;

memory configured to store the acquired data and executable instructions; and

one or more processors coupled to the memory and the receiver, wherein the one or more processors are configured to execute the instructions stored on the memory, and wherein the instructions include instructions for—

detecting one or more patterns in the acquired data;

determining one or more patient activities based on the one or more detected patterns; and

automatically generating a report that includes a list of one or more of the patient activities occurring during a predetermined period of time.

9. The system of claim 8 wherein the receiver, the memory and the one or more processors are housed in a computer remote from the sensor.

10. The system of claim 8, further comprising a mobile device communicatively coupled to the sensor via a first communication link and communicatively coupled to the receiver via a second communication link, wherein the mobile device is configured to receive audio, video and touch input data from the patient, and wherein the mobile device is further configured to transmit the data acquired by the sensor and the patient input data to the receiver via the second communication link.

11. The system of claim 10 wherein the generated report includes at least a portion of the patient input data.

12. The system of claim 8, further comprising a transmitter, wherein the transmitter and the receiver are configured to communicate with a medical information system via a communication link, wherein the instructions stored on the memory further include instructions for transmitting the generated report to the medical information system.

13. The system of claim 12 wherein the instructions stored on the memory further include instructions for triggering the scheduling of an appointment for the patient in the medical information system, wherein in the triggering is based on one or more of the patterns detected in the acquired data.

14. A method of assessing a function of a joint of a patient after a surgery performed on the joint, the method comprising:

receiving data from a sensor positioned proximate the patient'"'"'s joint, wherein the sensor is configured to acquire data corresponding to an actuation of the patient'"'"'s joint;

detecting one or more patterns in the acquired data;

determining one or more patient activities based on the one or more patterns detected in the acquired data; and

automatically generating a report that includes a list of each of the one or more of the patient activities.

15. The method of claim 14 wherein determining one or more patient activities includes comparing the one or more patterns detected in the acquired data with patterns in baseline data acquired from a different patient.

16. The method of claim 14 wherein detecting one or more patterns in the acquired data comprises reducing a number of dimensions in the acquired data from a first number of dimensions to a second, lower number of dimensions.

17. The method of claim 14 wherein detecting one or more patterns in the acquired data comprises applying shapelets to the data that are mathematically representative of one or more patient activities.

18. The method of claim 14, further comprising transmitting the generated report to a medical information system.

19. The method of claim 14, further comprising automatically scheduling an appointment based on one or more of the patterns detected in the acquired data.

20. The method of claim 14, further comprising automatically transmitting an alert to a health care practitioner based on information in the acquired data.