Health monitor system and method for health monitoring

• US 7,299,159 B2
• Filed: 08/26/2004
• Issued: 11/20/2007
• Est. Priority Date: 03/03/1998
• Status: Expired due to Term

• Current Assignee: LifeWatch Technologies Ltd. (Koninklijke Philips N.V.)
• Original Assignee: Card Guard Scientific Survival Limited (Koninklijke Philips N.V.)
• Inventors: Nanikashvili, Reuven
• Primary Examiner(s): Raymond; Edward
• Application Number:
  US10/928,791
• Publication Number:
  US 20050119833A1
• Time in Patent Office: 1,181 Days
• Field of Search: 702/188, 702182-185, 600/300
• US Class Current: 702/188
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02233 Occluders specially adapted therefor tourniquets A61B17/132
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• 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 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A mobile health monitor system that includes at least one physiological data sensor; at least one biomechanical data sensor; and a processing unit for correlating between physiological data and biophysical data. A method for health monitoring that includes: determining an occurrence of a measurement-initiating event; initiating an additional measurement in response to the occurrence of a measurement-initiating event; and correlating between gathered physiological data to provide correlated data.

Claims

1. A health monitor system comprising:

at least one physiological data sensor;

at least one biomechanical data sensor configured to collect biophysical data relating to musculoskeletal loading; and

a processing unit, coupled to the at least one physiological data sensor and to the at least one biomechanical data sensors, for correlating between physiological data and the biophysical data.

2. The health monitor system of claim 1 comprising a long-range transmitter, coupled to the processor.

3. The health monitor system of claim 1 integrated in a long-range transmitter.

4. The health monitor system of claim 3 wherein the long-range transmitter is a PDA or a mobile phone.

5. The health monitor system of claim 1 wherein the processing unit is integrated in a blood pressure device adapted to be mounted on an arm cuff.

6. The health monitor system of claim 1, whereas the system is adapted to provide physiological data reflecting heart function.

7. The health monitor system of claim 1, whereas the system is adapted to provide physiological data reflecting lung function.

8. The health monitor system of claim 1 wherein the processing unit is mounted on a hand cuff.

9. A mobile health monitor system comprising:

multiple physiological data sensors adapted to gather physiological data of multiple types;

at least one biomechanical sensor adapted to measure biomechanical data at least one biophysical data sensor configured to collect biophysical data relating to musculoskeletal loading and a processing unit, coupled to the multiple physiological data sensors, adapted to determine an occurrence of a measurement initiating event, to correlate between the physiological data and the biophysical data and to initiate an additional measurement of biomechanical data in response to the occurrence of a measurement-initiating event.

10. The health monitor system of claim 9 comprising a long-range transmitter, coupled to the processor.

11. The health monitor system of claim 9 further adapted to correlate between multiple physiological data and to determine an occurrence of a health related event.

12. A method of health monitoring, the method comprising:

gathering physiological data, biophysical data related to musculoskeletal loading and biomechanical data; and

correlating between the gathered physiological data, biomechanical data and biophysical data to provide correlated data.

13. The method of claim 12 further comprising long-range transmitting the correlated data.

14. The method of claim 12 whereas the physiological data reflects heart function.

15. The method of claim 12, whereas the physiological data reflects lung function.

16. The method of claim 12 further comprising a stage of providing a hand-mounted processor unit.

17. The method of claim 12, wherein the stage of gathering biomechanical data comprises gathering data on foot falls.

18. The method of claim 12, wherein the stage of gathering biomechanical data comprises gathering data on body attitude.

19. A health monitor system, comprising:

a hand cuff;

a biophysical data sensor configured to collect biophysical data relating to musculoskeletal loading and a processing unit, adapted to be coupled to at least one physiological data sensor, and coupled to the hand cuff, for processing physiological data and correlating between the physiological data and the biophysical data.