Life sign detection and health state assessment system

• US 9,687,195 B2
• Filed: 10/08/2013
• Issued: 06/27/2017
• Est. Priority Date: 11/04/2003
• Status: Active Grant

• Current Assignee: US Department of The Army (Government of the United States of America), U.S. Army Medical Research And Materiel Command
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.), The United States Of America As Represented By The Secretary Of The Army
• Inventors: Sims, Nathaniel M., Dempsey, Michael, Colquitt, Nhedti, Hickcox, Matt, Hoyt, Reed J., Buller, Mark J., Ames, John S., Wollowitz, Michael
• Primary Examiner(s): Thompson, William
• Assistant Examiner(s): Archer, Marie
• Application Number:
  US14/049,001
• Publication Number:
  US 20140249430A1
• Time in Patent Office: 1,358 Days
• CPC Class Codes: A61B 2562/0261 Strain gauges
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local 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: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

A wearable platform embodied in a belt or patch provides physiological monitoring of soldiers during field operations or trauma victims at accident sites and makes health state assessments. The platform includes sensors for heart rate, body motion, respiration rate and intensity, and temperature and further contains a microprocessor and short range transmitter. An analog circuit running an algorithm obtains the R-wave period from the EKG signal and produces electrical pulses with the period between pulses corresponding to the R-wave period. A rule based processing engine having an evaluation algorithm is capable of making a medical evaluation of subject condition and determines a confidence level for the evaluation. The rules are subject to variation depending upon the subject population. The information is communicated wirelessly to a local hub for relay to a remote monitor.

Claims

1. A life signs detection system for monitoring one significant vital sign and one indirect life sign of subjects, said system comprising:

a plurality of wearable platforms, each wearable platform comprising;

a heart rate sensor configured to detect a heart rate;

a body motion sensor configured to detect motion;

a respiration rate sensor configured to determine respiration rate by detecting motion of a subject;

a temperature sensor configured to detect a temperature;

a processor comprising a rule processing engine configured to execute a health state assessment algorithm that performs a medical evaluation and determines a confidence level for the evaluation, said algorithm comprising a rule set to calculate a health state classification and a decision confidence score corresponding to an indicator of confidence; and

a transmitter configured to transmit local sensor data of medical state information detected by sensors of the wearable platform, the local sensor data of medical state information comprising heart rate, motion, respiration rate, and temperature, and configured to transmit results of the medical evaluation and the decision confidence score;

a plurality of local hubs each comprising;

an external display for displaying the results of the medical evaluation;

a local transceiver hub configured to accept connection from the external display; and

a receiver configured to receive local sensor data from said wearable platforms; and

a remote base station configured to receive information from a plurality of local hubs.

2. The life signs detection system of claim 1 wherein the processing engine is configured to perform the medical evaluation and determine the confidence level for the evaluation based on a subject personal baseline dependent rule set and tabulated parameter values.

3. The life signs detection system of claim 2, wherein the rule processing engine is configured to execute rule sets that vary depending upon general characteristics of a subject population.

4. The life signs detection system of claim 1 wherein the respiration rate sensor detects abdominal motion of the subject.

5. The life signs detection system of claim 1 wherein said algorithm comprises tabulated interpretation rules and tabulated boundary conditions and tabulated abnormal values for each personal baseline.

6. The life signs detection system of claim 1 wherein the transmitter of the wearable platform is a short range RF transmitter having low bandwidth output for local sensor data.

7. The life signs detection system of claim 1 wherein the local transceiver hub comprises a short range RF transceiver, a medium or long range transmitter/transceiver and a processor.

8. The life signs detection system of claim 1 wherein said local sensor data comprises periodic and on demand digital data packets of medical state information from said wearable platforms.

9. The life signs detection system of claim 1 wherein said remote base station is a PDA.

10. The life signs detection system of claim 1 wherein said algorithm estimates the likelihood of injury.

11. The life signs detection system of claim 1 wherein said algorithm estimates the likelihood of an injury and the nature of the injury.

12. The life signs detection system of claim 1 wherein the processing engine is configured to perform the medical evaluation and determine the confidence level for the evaluation based on a subject personal baseline dependent rule set.

13. The life signs detection system of claim 1, wherein the processor is configured to assign corresponding colors to the health state classification and the decision confidence score corresponding to the indicator of confidence to provide the health state classification and the decision confidence score with color coding, and wherein said display is configured to display the color coded health state classifications and decision confidence score.

14. The life signs detection system of claim 1, wherein the rule set can be modified by a user based on clinical experience.

15. The life signs detection system of claim 1, wherein the respiration rate sensor comprises a deformation transducer element that varies in electrical resistance as a subject'"'"'s chest or abdomen expands and contracts due to respiration.

16. The life signs detection system of claim 15, wherein the respiration rate sensor comprises:

a flexible, variable resistance element; and

a compliant backing element coupled to the resistance element,

wherein a resistance of the backing element increases as a radius of curvature of the backing element decreases.