EXERCISE SYSTEM AND METHOD

• US 20150327804A1
• Filed: 02/18/2013
• Published: 11/19/2015
• Est. Priority Date: 02/16/2012
• Status: Active Grant

• Current Assignee: Katholieke Universiteit Leuven
• Original Assignee: Katholieke Universiteit Leuven
• Inventors: LEFEVER, Joris, BERCKMANS, Daniel, EXADAKTYLOS, Vasileios, AERTS, Jean-Marie
• Granted Patent: US 10,646,151 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• 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 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A63B 2220/00 Measuring of physical parameters relating to sporting activity
• 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: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

We here describe an exercise system and control method thereof to obtain exercise protocols relating to the individual user'"'"'s optimal exercise intensity. The system and method comprise the monitoring of the transition between the aerobic and anaerobic training zones and an estimate of the maximal lactate steady state, which is an important physiological indicator of the user'"'"'s cardio respiratory fitness. Together with individual models of how the user'"'"'s heart rate responds to exercise intensity, it is possible to predict the needed exercise intensity that should be performed to obtain the wanted exercise goal. The analysis can (preferably) be performed in real-time during exercise.

Claims

1-9. -9. (canceled)

10. A method for evaluating and controlling the cardio respiratory fitness of an individual living organism in connection with an activity or exercise comprising:

(i) measuring one or more heart rate parameters and the intensity of the activity or exercise of said individual in real time;

(ii) determining or predicting the lactate threshold of said individual by using a data base modelling technique to model the dynamic, individual and time variant response of heart rate to activity or exercise intensity in real time.

11. The method according to claim 10, further comprising the step of monitoring changes in the system dynamics, model parameters or model prediction error when doing activities or exercising below or above the lactate threshold to determine the lactate threshold.

12. The method according to claim 10, wherein the cardio respiratory fitness of said individual is determined or predicted during warm-up.

13. The method according to claim 12, further comprising determining the time constant of the heart rate response to exercise intensity.

14. The method according to claim 10, further comprising recalculating the training protocol and/or exercise intensity.

15. A system for evaluating and controlling the cardio respiratory fitness of an individual living organims comprising:

(i) means for measuring one or more biological and physiological variables of said individual;

(ii) means for measuring the activity or exercise intensity;

(iii) a processing unit that, using a data based modelling technique relates and models the biological and physiological response of said individual to activity or exercise intensity and subsequently estimates or predicts the lactate threshold.

16. The system according to claim 15, wherein said one or more biological and physiological variable of said individual is the heart rate.

17. The system according to claim 15, further comprising (iv) an input unit to enter one or more physiological parameters which refer to the person'"'"'s age, weight, height, gender or other physiological property.

18. The system according to claim 15, wherein said means for measuring the biological and physiological variables of said individual is a hear rate monitor.