AUTOMATED IDENTIFICATION OF PHYSIOLOGICAL DATA

• US 20160151022A1
• Filed: 11/30/2015
• Published: 06/02/2016
• Est. Priority Date: 12/01/2014
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Berlin, David B., Lin, Andy S.
• Application Number:
  US14/954,538
• Publication Number:
  US 20160151022A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence

Abstract

A method for associating physiological sensors to patients includes acquiring associated physiological data from a first physiological sensor associated with an identified patient. The method also includes acquiring unassociated physiological data from a second physiological sensor associated with an unidentified patient. The method further includes comparing a parameter in the unassociated physiological data to a common or correlated parameter in the associated physiological data to determine if the second physiological sensor is associated with the identified patient.

Claims

1. A method for assigning a physiologic sensor to a patient, comprising:

monitoring a patient with a plethysmograph sensor detecting a plethysmograph signal from the patient;

monitoring the patient with an electrode sensor detecting an electrical signal from the patient;

receiving both the plethysmograph signal and the electrical signal at a remote monitor;

detecting, at the remote monitor, a sequence of heart beats in both the plethysmograph signal and the electrical signal;

matching, at the remote monitor, a sequence of the detected heart beats in the plethysmograph signal with a sequence of the detected heart beats in the electrical signal; and

assigning, at the remote monitor, both sensors to the same patient based on the matching features.

2. The method of claim 1, wherein matching the sequences comprises detecting a similar pattern of heart beats in the plethysmograph and the electrical signals, within a set tolerance level.

3. The method of claim 1, wherein assigning both sensors to the same patient comprises storing a patient identifier with physiologic data from the plethysmograph sensor and storing the same patient identifier with physiologic data from the electrode sensor.

4. The method of claim 3, wherein storing the patient identifier with physiologic data from the plethysmograph sensor comprises writing the patient identifier to a memory of the plethysmograph sensor.

5. The method of claim 3, wherein storing the patient identifier with physiologic data from the electrode sensor comprises writing the patient identifier to a memory of the electrode sensor.

6. The method of claim 3, wherein storing the patient identifier with physiologic data from the plethysmograph sensor and the electrode sensor comprises writing the patient identifier to a memory of the remote monitor in a database or lookup table and associated with identification information for the plethysmograph sensor and the electrode sensor.

7. The method of claim 1, wherein assigning both sensors to the same patient comprises accessing a patient identifier associated with the plethysmograph sensor or the electrode sensor and storing the patient identifier with physiologic data from the electrode sensor and the physiologic data from the plethysmograph sensor.

8. The method of claim 1, wherein the plethysmograph sensor and the electrode sensor are both wireless sensors.

9. The method of claim 8, further comprising wirelessly transmitting the plethysmograph signal from the plethysmograph sensor to the remote monitor.

10. The method of claim 1, comprising displaying the patient identifier together with a first heart rate determined from the detected heart beats from the electrical signal and a second heart rate from the detected heart beats of the plethysmograph signal.

11. The method of claim 1, wherein the matching comprises determining a first heart rate from the sequence of the detected heart beats in the plethysmograph signal and a second heart rate of the sequence of the detected heart beats in the electrical signal and matching the first heart rate and the second heart rate within a set tolerance level.

12. The method of claim 1, wherein the matching comprises determining a first heart rate variability from the sequence of the detected heart beats in the plethysmograph signal and a second heart rate variability of the sequence of the detected heart beats in the electrical signal and matching the first heart rate variability and the second heart rate variability within a set tolerance level.

13. A method for identifying a new wireless sensor, comprising:

receiving, at a patient monitor, physiologic data from a plurality of sensors each respectively monitoring a unique patient;

receiving, at the patient monitor, new physiologic data from a new sensor not yet assigned to a patient;

extracting a portion of the new physiologic data over a time duration and searching for a matching portion in the physiologic data from the plurality of sensors over the same time duration;

identifying a match with a first sensor of the plurality of sensors;

assigning the new sensor to the unique patient monitored by the first sensor; and

displaying incoming physiologic data from the new sensor together with incoming physiologic data from the first sensor.

14. The method of claim 13, comprising displaying identification information for the unique patient with the incoming physiologic data from the new sensor and the incoming physiologic data from the first sensor.

15. The method of claim 13, wherein identifying a match comprises determining a physiological parameter, a correlated physiological parameter, a variability of the common physiological or the correlated physiological parameter, a trend of the common physiological or the correlated physiological parameter, a common or correlated waveform feature, a pattern of the common or correlated waveform feature, or any combination thereof for the new sensor and the first sensor.

16. The method of claim 13, wherein identifying a match comprises matching a common parameter value derived from the physiologic data of the new sensor over the time duration to matching parameter value of in the physiologic data from the first sensor over the same time duration.

17. A system, comprising:

wireless communication circuitry configured to receive a first input signal from a first physiological sensor and a second input signal from a second physiological sensor;

a memory storing identification data for a patient and association data associating the first physiological sensor and the second physiological sensor with the identification data; and

a processor configured to;

receive the first input signal from the first physiological sensor associated with the patient;

compare a common feature in the first input signal from the first physiological sensor and in the second input signal from the second physiological sensor to determine if the second physiological sensor should be associated with the patient; and

generate an error message when the first physiological signal and the second physiological signal should not be associated with the patient based on the common feature.

18. The system of claim 17, wherein the first physiological sensor is a different sensor type from the second physiological sensor.

19. The system of claim 17, wherein the common feature is a common physiological parameter, a correlated physiological parameter, a variability of the common physiological or the correlated physiological parameter, a trend of the common physiological or the correlated physiological parameter, a common or correlated waveform feature, a pattern of the common or correlated waveform feature, or any combination thereof.

20. The system of claim 19, wherein the processor is configured to synchronize the first input signal with the second input signal before determining the common feature.