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 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.