System and kit for stress and relaxation management

• US 8,529,457 B2
• Filed: 02/16/2009
• Issued: 09/10/2013
• Est. Priority Date: 02/22/2008
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Devot, Sandrine Magali Laure, Brauers, Andreas, Naujokat, Elke, Pinter, Robert, Reiter, Harald, Thijs, Jeroen Adrianus Johannes
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): Agahi, Puya
• Application Number:
  US12/918,531
• Publication Number:
  US 20100324427A1
• Time in Patent Office: 1,667 Days
• Field of Search: 600/301, 600/484, 600/520, 600529-543, 600/300, 600/481, 600/508
• US Class Current: 600/484
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6887 mounted on external non-worn devices, e.g. non-medical devices

Abstract

This invention relates to a system and a kit for stress and relaxation management. A cardiac activity sensor (101) is used for measuring the heart rate variability (HRV) signal of the user and a respiration sensor (102) for measuring the respiratory signal of the user. The system contains a user interaction device (103) having an input unit (104) for receiving user specific data and an output unit for providing information output to the user. A processor (106) is used to assess the stress level of the user by determining a user related stress index. The processor is also used to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages. Finally, the processor uses the user specific data as an input in generating a first set of rules defining an improvement plan for self-management of stress and relaxation. The first set of rules is adapted to trigger commands instructing the output unit to provide the user with motivation related messages. Also, at least a portion of said user specific data is further used to define a second set of rules indicating the user'"'"'s personal goals.

Claims

1. A system for stress and relaxation management, comprising:

at least one cardiac activity sensor for measuring a heart rate variability (HRV) signal of a user,

at least one respiration sensor for measuring a respiratory signal the user (109),

a user interaction device comprising an input unit for receiving user specific data and an output unit for providing information output to the user, and

a processor adapted to assess the stress level of the user by determining a user related stress index, the user related stress index being determined based on a first and a second HRV parameter value associated with a first posture and a second posture, respectively, where a difference between the HRV parameter values is used as an indicator to determine the user related stress index, the stress index being used as an input in triggering commands instructing the output unit to provide the user with a message indicating the stress level of the user,

the processor further being adapted to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals by means of calculating an index of coherence between the HRV signal and the respiratory signal during the relaxation exercise, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages,

the processor further being adapted to use the user specific data as an input in generating a first set of rules defining an improvement plan for self-management of stress and relaxation, said first set of rules being adapted to trigger commands instructing the output unit to provide the user with motivation related messages.

2. A system according to claim 1, wherein said user specific data comprises at least one of:

input data entered by the user via said input unit,

input data obtained from the user via a response to questionnaires presented to the user,

input data from an external agent communicating via said input unit, and

data obtained from measured signals from said sensors.

3. A system according to claim 2, wherein at least a portion of said user specific data is further used to define a second set of rules indicating the user'"'"'s personal goals.

4. A system according to claim 1, wherein said processor is further adapted to compare the user related stress index, initially with baseline measures and subsequently with previous determined stress indexes, wherein said comparing results in triggering commands instructing the output unit to provide the user with messages indicating the stress level of the user and trends.

5. A system according to claim 4, wherein said baseline measures are determined during a initialization phase where the processor uses the measured signals to determine one or more of the following parameters:

a personal range for the stress index value, determined from said stress assessment,

a personal range for the relaxation index value determined from said relaxation exercise,

parameters which can be extracted from the cardiac activity and respiratory sensors, including one or more of the following;

HRV parameters,

breathing rate parameter,

breathing amplitude parameter.

6. A system according to claim 1, wherein said user specific data comprises at least one of:

input data entered by the user via said input unit,

input data obtained from the user via a response to questionnaires presented to the user,

input data from an external agent communicating via said input unit, and

data obtained from measured signals from said sensors,

wherein said comparing with the previous determined stress indexes further includes comparing the stress index with the second set of rules indicating the user'"'"'s personal goals and adapting the second set of rules to the outcome of the comparing with the second set of rules.

7. A system according to claim 1, wherein the processor is further adapted to determine at least one of the following parameters:

trend and progress related parameter indicating trends and progress of the user, where the determining is based on one or more of the following;

comparing said indexes with previous indexes,

comparing said indexes with said second set of rules,

comparing said indexes with previous indexes and said second set of rules,

performance related parameter indicating the performance of the user during the relaxation exercise, said determining being based on comparing the determined relaxation index with previously determined relations indexes, and

compliance related parameter indicating the compliance of the user to follow said second set of rules, said determining being based on the monitoring of determined indexes and said current set of second set of rules,

wherein the processor is further adapted to adapt the first set of rules to one or more of said parameters.

8. A system according to claim 3, wherein prior to defining said second set of rules, proposal rules are presented to the user via said output unit, where in case the user agrees on the proposal rules via said input unit, said processor issues a command triggering said proposal rules to become said second set of rules.

9. A system according to claim 3, wherein the second set of rules is used as input in defining said first set of rules.

10. A system according to claim 4, wherein said comparing of the user related stress index with the baseline measures and subsequently with the previous determined stress indexes further includes means of comparing the subsequent stress indexes with the previous determined stress indexes along with said second set of rules indicating the user'"'"'s personal goals.

11. A system according to claim 1, wherein the at least one cardiac activity and respiration sensors are wireless and unobtrusive.

12. A system according to claim 11, wherein said at least one cardiac activity and respiration sensors are integrated into textiles.

13. A system according to claim 1, further comprising at least one of:

a temperature sensor adapted to measure the temperature of the skin of the user,

a galvanic skin response sensor adapted to measure the galvanic skin response,

a pillow electrode integrated into a pillow, combined with a foot mat electrode integrated into a bed sheet, for measuring heart rate (HR) and HRV signals,

bed post sensor adapted to be integrated or mounted to a bed frame or measuring HR or HRV or both HR and HRV signals,

a slat sensor or a foil sensor adapted to be integrated into a bed or a sofa or a chair for measuring at least one of the following;

HR signal,

HRV signal,

the respiration of the user,

the activity of the user.

14. A system according to claim 1, wherein the processor is an external processor incorporated into one of:

an external computer system and a hand-held device, the system further comprising a transceiver for transmitting the measured signals to the external computer system or the hand-held device where said processing steps are performed.

15. A system according to claim 1, wherein the system further comprises a transceiver, the processor (106), the user interaction device and the transceiver being integrated into a hand-held device.

16. A system according to claim 1, wherein the first posture is a rest posture and the second posture is a stand-up posture.

17. A system according to claim 1, wherein the at least one wireless respiration sensor is further adapted to measure the respiratory signal of the user during said stress assessment.