SYSTEM FOR THE EARLY DETECTION OF LIFE-THREATENING CONDITIONS OF PERSONS

• US 20130137941A1
• Filed: 04/18/2011
• Published: 05/30/2013
• Est. Priority Date: 04/19/2010
• Status: Active Grant

• Current Assignee: ISAR-M GmbH Medical Technology
• Original Assignee: ISAR-M GmbH Medical Technology
• Inventors: Schardey, Anne
• Granted Patent: US 10,368,812 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/03 Detecting, measuring or recording fluid pressure within the body other than blood pressure, e.g. cerebral pressure; Measuring pressure in body tissues or organs A61B5/205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/7267 involving training the classification device
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• 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

Abstract

The invention relates to a system for the early detection of life-threatening conditions of persons, wherein such risks exist, for example, due to a preceding operation. The system detects a plurality of vital parameters depending on the person to be monitored by means of a detector unit that is subsequently evaluated by an evaluation logic using a neuronal network. Individual parameters that exceed thresholds and constellations of parameters that represent a critical health condition of the person are displayed in different forms by means of a display device, depending on the risk. Said risk is determined in that the probability of the presence of a health anomaly is first determined and then evaluated.

Claims

1. A system that detects early a life-threatening condition of a person, comprising:

a detector unit that records a plurality of vital parameters, wherein the detector unit optionally comprises a measuring sensor, computing unit, and an interface;

an evaluation logic, which assigns a predefined condition to each vital parameter, and which assesses a probability of a health anomaly as a function of the assigned conditions; and

a display device which displays the assessment.

2. The system of claim 1, wherein the evaluation logic generates, based on the recorded parameters and assigned conditions, taking into consideration their variation in time, an instruction on how to deal with a momentary condition of the person.

3. The system of claim 2, wherein the instruction is displayed at least partly by the display device.

4. The system of claim 1, wherein the evaluation logic comprises a neuronal network.

5. The system of claim 1, wherein the detector unit records at least one of the vital parameters at a predefined time interval.

6. The system of claim 1, wherein the evaluation logic comprises a fuzzy logic algorithm.

7. The system of claim 4, wherein the neuronal network is trainable by incorporating individual medical data of the person.

8. The system of claim 6, wherein a fuzzy logic module of the evaluation logic is individually calibrated in a manner corresponding to the health of the person.

9. The system of claim 1, wherein the evaluation logic is capable of learning.

10. The system of claim 1, wherein various levels of a health danger can be displayed with the display device.

11. The system of claim 1, further comprising a transmitter unit, which communicates to a control center at least one selected result of the assessment or an instruction on how to deal with a momentary condition of the person.

12. The system of claim 11, further comprising a position detector, which identifies a spatial or geographic position of the person.

13. The system of claim 12, wherein the spatial or geographic position of the person is communicated by the transmitter unit to a control room.

14. The system of claim 1, further comprising an interface to a mobile telephone.

15. The system of claim 1, wherein all elements of the system are combined in one unit.

16. The system of claim 1, wherein the vital parameters comprise at least one selected from the group consisting of a RR blood pressure, a heart rate, a respiration rate, a blood oxygen concentration and a tissue pressure.

17. The system of claim 1, wherein the detector unit comprises the measuring sensor.

18. The system of claim 1, wherein the detector unit comprises the computing unit.

19. The system of claim 1, wherein the detector unit comprises the interface.

20. The system of claim 1, wherein the detector unit comprises the measuring sensor, the computing unit, and the interface.