Method and system for proactive telemonitor with real-time activity and physiology classification and diary feature

• US 20070063850A1
• Filed: 09/13/2006
• Published: 03/22/2007
• Est. Priority Date: 09/13/2005
• Status: Abandoned Application

• Current Assignee: Christopher Elledge, Daniel Barkalow, John Carlton-Foss, Richard Devaul
• Original Assignee: Christopher Elledge, Daniel Barkalow, John Carlton-Foss, Richard Devaul
• Inventors: Elledge, Christopher, Barkalow, Daniel, Carlton-Foss, John, Devaul, Richard
• Application Number:
  US11/520,419
• Publication Number:
  US 20070063850A1
• Time in Patent Office: Days
• US Class Current: 340/573.100
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• 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 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/113 occurring during breathing
• 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 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• 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: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G08B 21/0211 Combination with medical sensor, e.g. for measuring heart rate, temperature
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Embodiments of a telemonitoring system are particularly suited to monitor athletic activity and athletic training. The sensors monitor human physiology, activity and environmental conditions. In one embodiment, the data analysis devices use the data models to determine to determine specific performance points. Some embodiments provide useful displays to the user, where the displays are based on algorithms operating on and displaying raw data alone and combined with derivative data.

Claims

1. A monitoring system for monitoring athletic performance of an individual, comprising:

a wearable monitor hub;

at least one sensor in communication with the hub, the at least one sensor providing to the hub data related to athletic performance of the individual, wherein the wearable monitor hub and the at least one sensor are located on the individual; and

an analysis device in communication with the hub, the analysis device to take the provided data as input, the analysis device to determine a condition of the individual in response to the data.

2. The monitoring system of claim 1 further comprising an output device to transmit output of the analysis device to a receiving device.

3. The monitoring system of claim 2 where the receiving device is a display device.

4. The monitoring system of claim 1 wherein the analysis device is included in the wearable monitor hub.

5. The monitoring system of claim 1 wherein the analysis device stores at least one data model to be used in analyzing data from the at least one sensor.

6. The monitoring system of claim 5 wherein the at least one data model is an athletic performance data model and is used in analyzing data from the at least one sensor for athletic performance of the individual.

7. The monitoring system of claim 5 wherein the at least one data model is an emergency conditions data model and is used in analyzing data from the at least one sensor for determining an emergency condition in the individual.

8. The monitoring system of claim 1 wherein the at least one sensor is connected to the wearable monitor hub through a wireless connection.

9. The monitoring system of claim 2 wherein the receiving device is an athletic trainer monitoring tool.

10. The monitoring system of claim 2 wherein the receiving device is an emergency response system.

11. An athletic coaching system for monitoring the performance of an athlete, comprising:

a wearable monitor hub worn by the athlete;

at least one sensor in communication with the wearable monitor hub, the at least one sensor providing to the hub data related to athletic performance of the athlete, the at least one sensor located on the athlete;

a monitoring tool able to communicate with the wearable monitor hub worn by the athlete, the monitoring tool able to receive sensor data collected by the hub; and

an analytic device connected to the monitoring tool, the analytic device to determine a condition of the athlete in response to the received data.

12. The athletic coaching system of claim 11 wherein the analytic device stores at least one data model to be used in analyzing data from the at least one sensor.

13. The athletic coaching system of claim 12 wherein the at least one data model is an athletic performance data model and is used in analyzing data from the at least one sensor for athletic performance of the athlete.

14. The athletic coaching system of claim 12 wherein the at least one data model is an emergency conditions data model and is used in analyzing data from the at least one sensor for determining an emergency condition in the individual.

15. The athletic coaching system of claim 11 further comprising:

a second wearable monitor hub worn by a second athlete;

a second at least one sensor in communication with the second wearable monitor hub, the second at least one sensor providing to the second wearable monitor hub data related to athletic performance of the second athlete, the second at least one sensor located on the second athlete;

a monitoring tool able to communicate with the second wearable monitor hub worn by the second athlete, the monitoring tool able to receive sensor data collected by the second wearable monitor hub; and

an analytic device connected to the monitoring tool, the analytic device to determine a condition of the athlete in response to the received data.

16. The athletic coaching system of claim 11 further comprising a diary to record results provided by the analytic device in order to follow athletic performance of the athlete over time.

17. The athletic coaching system of claim 12 in which the at least one data model is an optimal model corresponding to an idealized form for the athlete.

18. The athletic coaching system of claim 17 wherein the optimal model includes data about a particular athletic activity and associated conditions.

19. The athletic coaching system of claim 12 having a plurality of stored data models each said data model corresponding to an idealized form for the athlete for a specified activity.

20. The athletic coaching system of claim 19 wherein each said data model includes data about environmental parameters.

21. The athletic coaching system of claim 19 in which an appropriate model for use in analysis is selected from said plurality of stored data models by a trainer.

22. The athletic coaching system of claim 19 wherein the system substantially continuously compares a current form of the athlete against a data model selected from said plurality of stored data models, the system further providing real-time feedback to the athlete in response to differences between the current form and the selected data model.

23. The athletic coaching system of claim 22 in which the system dynamically adjusts the real-time feedback in response to differences between the current form and the selected data model such that as the form of the athlete improves the boundaries of feedback responses are moved progressively closer to parameters of the selected data model.

24. The athletic coaching system of claim 22 further comprising at least one transducer in communication with the at least one sensor and with the analytic device to provide the feedback.

25. The athletic coaching system of claim 24 wherein the transducer provides visual feedback.

26. The athletic coaching system of claim 24 wherein the transducer provides auditory feedback.

27. The athletic coaching system of claim 24 wherein the transducer provides haptic feedback.

28. The athletic coaching system of claim 16 wherein the diary records feedback provided to the athlete.

29. A method of coaching an athlete comprising:

providing an idealized data model corresponding to the idealized athletic performance of the athlete;

establishing performance criteria of the athlete;

receiving athletic performance data from at least one sensor worn by the athlete; and

analyzing the received performance data according to the idealized model.

30. The method of claim 29 further comprising:

providing feedback to the athlete via a feedback device worn by the athlete.

31. The method of claim 29 further comprising:

recording data in response to the analyzing step in a diary.

32. The method of claim 29 further comprising:

revising the performance criteria in response to the analyzing step.