System and method for facilitating observation of monitored physiologic data
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.
1. A monitoring system, comprising:
a monitor capable of receiving input relating to patient physiological parameters and storing data related to the parameters, the monitor comprising:
a pattern detection feature capable of analyzing the data to detect a pattern in the data, wherein the analyzing comprises detecting a fall peak, a nadir peak, and a rise peak in the data, which, in sequence, define a reciprocation;
a pattern qualification feature capable of determining if the detected pattern is due to a ventilatory instability; and
a graphical indicator capable of being displayed comprising a graphical representation based at least in part on a magnitude of the pattern.
2. The system of claim 1 , wherein data related to the parameters comprises pulse oximtery data.
3. The system of claim 1 , wherein the graphical indicator comprises an indicator that changes in relation to the magnitude of the pattern.
4. The system of claim 1 , wherein the graphical indicator comprises a geometric shape and wherein the geometric shape is filled in relation to the magnitude of the pattern.
5. The system of claim 1 further comprising an index calculation feature capable of determining a scoring metric associated with the pattern.
6. The system of claim 5 , wherein the graphical indicator changes in relation to the scoring metric calculated over time.
7. The system of claim 5 , further comprising an alarm that is triggered when the scoring metric reaches a predetermined threshold.
8. The system of claim 7 , wherein the predetermined threshold may be selected by a user.
9. The system of claim 7 , wherein the predetermined threshold may be selected from a high tolerance, medium tolerance, and low tolerance threshold.
10. The system of claim 1 , wherein the graphical indicator comprises a graphic triangle capable of filling from the bottom of the triangle to the top of the triangle as an SPDi value increases.
11. A method, comprising:
receiving, by a patient monitor, input relating to patient physiological parameters and storing data related to the parameters;
detecting, by the patient monitor, an oxygen desaturation pattern indicative of ventilatory instability in the data, wherein the detecting comprises detecting a fall peak, a nadir peak, and a rise peak in the data, which, in sequence, define a reciprocation; and
qualifying, by the patient monitor, the detected pattern by determining if the detected pattern is due to a ventilatory instability.
12. The method of claim 11 , further comprising displaying a graphical indicator comprising a graphical representation based at least in part on a magnitude of the oxygen desaturation pattern indicative of ventilatory instability.
13. The method of claim 12 , further comprising filling the graphical indicator based at least in part on the magnitude of the oxygen desaturation pattern indicative of ventilatory instability.
14. The method of claim 11 , further comprising determining a scoring metric associated with the detected oxygen desaturation pattern indicative of ventilatory instability.
15. The method of claim 14 , further comprising triggering an alarm when the scoring metric reaches a predetermined threshold.
16. The method of claim 15 , further comprising receiving input to set the predetermined threshold.
17. The method of claim 15 , wherein the predetermined threshold comprises a high tolerance threshold, a medium tolerance threshold, or a low tolerance threshold.
18. A system, comprising:
a monitor capable of receiving input from a sensor related to patient physiological parameters and storing the data related to the parameters, the monitor comprising:
a pattern detection feature capable of analyzing the data to detect a pattern in the data, wherein the analyzing comprises detecting a fall peak, a nadir peak, and a rise peak in the data, which, in sequence, define a reciprocation;
a pattern qualification feature capable of determining if the detected pattern is due to a ventilatory instability; and
a graphical indicator capable of being displayed comprising a graphical representation based at least in part on the magnitude of the pattern.
19. The system of claim 18 , wherein the sensor comprises a pulse oximetry sensor.
20. The system of claim 18 , wherein the monitor further comprises an alarm capable of being triggered when the graphical indicator is empty or full.