Method and Apparatus for Wireless Health Monitoring and Emergent Condition Prediction

• US 20150106020A1
• Filed: 10/10/2013
• Published: 04/16/2015
• Est. Priority Date: 10/10/2013
• Status: Active Grant

• Current Assignee: Wireless Medical Monitoring, Inc.
• Original Assignee: Wireless Medical Monitoring, Inc.
• Inventors: Chung, Wayne, KAVEH, ANTHONY
• Granted Patent: US 10,055,549 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

The present invention relates generally to wireless, remote, physiological monitoring in the evaluation of health and disease state specifically with respect to cardiac and pulmonary pathologies, including heart failure and sleep apnea. Personalized thresholds are used to enhance performance of classification and prediction methods by utilizing patient clinical history and past empiric sensed data, such as through an initialization period, to learn the biological variation present in each sensed individual.

Data from an adherent patch undergoes disseminated processing as data is securely sent from a sensing device ultimately to a remote server. Monitoring, classification, and prediction results are hosted and made accessible through an authenticated system to members of the individual'"'"'s healthcare team, family, or other caregivers.

Learning algorithms are used to characterize physiological attributes and to classify a health or disease state based on an aggregate of features. Classification models and feature selection are optimized with validation algorithms.

Claims

1. A method and apparatus for monitoring health and disease state by processing detected physiological data that is disseminated over several processing stages.

2. The method of claim 1 wherein the health and disease monitoring may be used to classify a sensed individual'"'"'s disease state.

3. The method of claim 1 wherein the health and disease monitoring may predict the probability of an emergent condition occurring in a sensed individual.

4. The method of claim 3 wherein alerts may be issued to multiple entities in response to the probability of an emergent condition occurring.

5. The method of claim 1 wherein alerts may be issued to multiple entities in response to a current state of health or disease.

6. The method of claim 1 wherein empiric data sensed by the sensor is used to guide subsequent health monitoring, classification, and prediction.

7. The method of claim 1 wherein alerts may be sent to the sensed individual to notify changes in health or sensing device status.

8. The apparatus of claim 1 wherein the sensed physiological quantities include electrical heart activity, thoracic impedance, temperature, movement such as by accelerometer, and acoustic vibration such as by microphone.

11. The method of claim 1 wherein monitoring includes automated correction for sensor hardware biases.

12. The method of claim 1 wherein monitoring includes automated correction for physiological and environmental noise.

13. The method of claim 1 wherein sensor data is recorded simultaneously or near simultaneously across sensors for combination of sensor data to improve monitoring performance.

14. The method of claim 13 wherein an improvement includes noise reduction.

15. The method of claim 13 wherein an improvement includes mutual validation

16. The method of claim 1 wherein sensor data is obtained from multiple individuals over substantial time to learn inter- and intra-individual boundaries for health monitoring, classification, and prediction of an emergent condition.

17. The method of claim 1 wherein sensor data is decomposed across time and frequency to assess relationships between amplitude and phase between different signals.

9. The use of an intermediate device to send data from the sensing device to a remote processing center.

10. The apparatus of claim 9 wherein data from the sensing device is augmented with data from the intermediate device for use in health monitoring, classification, and prediction.

18. A method for conveying bidirectional surveillance data to caregivers through a web portal.

19. The method of claim 18 wherein the bidirectional data includes updates to sensing parameters.

20. The method of claim 18 wherein the bidirectional data includes updates to alerting parameters.