System and Method for Facilitating Observation of Monitored Physiologic Data

• US 20140235983A1
• Filed: 12/11/2013
• Published: 08/21/2014
• Est. Priority Date: 10/31/2008
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Batchelder, Keith, Amundson, Scott, Brecht, Mark
• Application Number:
  US14/103,265
• Publication Number:
  US 20140235983A1
• Time in Patent Office: Days
• US Class Current: 600/364
• 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 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• 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: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

Present embodiments are directed to a system and method capable of detecting and graphically indicating physiologic patterns in patient data. For example, present embodiments may include a monitoring system that includes a monitor capable of receiving input relating to patient physiological parameters and storing historical data related to the parameters. Additionally, the monitoring system may include a screen capable of displaying the historical data corresponding to the patient physiological parameters. Further, the monitoring system may include a pattern detection feature capable of analyzing the historical data to detect a physiologic pattern in a segment of the historical data and capable of initiating a graphical indication of the segment on the screen when the physiologic pattern is present in the segment.

Claims

1. A system, comprising:

a monitor capable of receiving input relating to patient physiological parameters and storing data related to parameters, the monitor comprising;

a detection feature capable of analyzing the data to detect reciprocations, defined by a fall peak, a nadir, and a rise peak;

a qualification feature capable of determining whether the detected reciprocations are caused by ventilatory instability;

a determination feature capable of maintaining a count of qualified reciprocations and activating a cluster state based at least on the count; and

a notification feature capable of indicating the presence of detected consecutive qualified reciprocations based at least in part on the cluster state.

2. The system of claim 1, wherein data related to the parameters comprises pulse oximetry data.

3. The system of claim 1, further comprising an index calculation feature capable of determining a scoring metric associated with the consecutive qualified reciprocations.

4. The system of claim 3, wherein the index calculation feature is capable of determining the scoring metric when the cluster state is activated.

5. The system of claim 3, further comprising an alarm that is triggered when the scoring metric reaches a predetermined threshold.

6. The system of claim 1, wherein the detection feature is configured to use a statistical method to detect the reciprocations.

7. A system, comprising:

an input for receiving a sensor signal;

circuitry configured to process the sensor signal to generate data relating to a patient physiological parameter, the circuitry further configured for;

analyzing the data to detect reciprocations, defined by a fall peak, a nadir, and a rise peak;

distinguishing detected reciprocations caused by ventilatory instability from detected reciprocations not caused by ventilatory instability;

maintaining a count of reciprocations caused by ventilatory instability and activating a cluster state based at least on the count; and

causing to be indicated a notification of the presence of detected consecutive reciprocations caused by ventilatory instability based at least in part on the cluster state.

8. The system of claim 7, wherein the notification is a graphical indicator.

9. The system of claim 8, wherein the graphical indicator represents a percentage value associated with ventilatory instability detection.

10. The system of claim 7, wherein the reciprocation count comprises a count of consecutive reciprocations caused by ventilatory instability.

11. The system of claim 7, wherein the circuitry is further configured to activate a cluster state when the reciprocation count exceeds a predetermined threshold.

12. The system of claim 7, wherein the circuitry is further configured to deactivate a cluster state when the time between two reciprocations caused by ventilatory instability exceeds a predetermined threshold.

13. The system of claim 7, wherein the circuitry is further configured to determine a time since a last reciprocation due to ventilatory instability.

14. A system, comprising:

an input for receiving physiological data;

circuitry for determining an oxygen saturation data trend based on the physiological data;

a detection feature for detecting occurrences of a pattern in the oxygen saturation trend data defined by a fall peak, a nadir, and a rise peak;

a qualification feature for qualifying each detected occurrence of the pattern based on at least one characteristic of each respective detected occurrence;

a determination feature for determining a presence of a cluster of qualified detected patterns; and

a notification feature for indicating the presence of a physiological instability based on the presence of the cluster of qualified detected patterns.

15. The system of claim 14, wherein the at least one characteristic comprises a metric selected from a group consisting of fall slope, magnitude, slope ratio, path length ratio, and any combination thereof.

16. The system of claim 15, wherein the qualification feature is configured to compare the metric to a predetermined limit.

17. The system of claim 14, wherein the qualification feature is configured to use a least squares analysis to qualify detected occurrences of the pattern.

18. The system of claim 14, wherein the qualification feature is configured to determine an indication of the amount of artifact present in the oximetry system.

19. The system of claim 14, wherein the qualification feature is configured to use at least one linear qualification function to qualify detected occurrences of the pattern.