System and method for SPO2 instability detection and quantification
OwnerLawrence Lynn, Eric Lynninventors
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Abstract
The disclosed embodiments relate to a system and method for analyzing data. An exemplary method comprises the acts of receiving data corresponding to at least one time series, and computing a plurality of sequential instability index values of the data. An exemplary system comprises a source of data indicative of at least one time series of data, and a processor that is adapted to compute at least one of a plurality of sequential instability index values of the data.
Claims110
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- and
- computing a plurality of sequential instability index values of the data.
A system, comprising:
- a source of data indicative of at least one time series of data;
- and
- a processor that is adapted to compute at least one of a plurality of sequential instability index values of the data.
A pulse oximeter, comprising:
- a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient;
- and
- a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 time series based on the signal, and to compute a plurality of sequential instability index values of the SPO2 time series.
A system for analyzing data, comprising:
- means for receiving data corresponding to at least one time series;
- and
- means for computing a plurality of sequential instability index values of the data.
A tangible machine-readable medium, comprising:
- code adapted to access data corresponding to at least one time series;
- and
- code adapted to compute a plurality of sequential instability index values of the data.
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- and
- searching the data to identify an incomplete recovery.
A system, comprising:
- a source of data indicative of at least one time series of data;
- and
- a processor that is adapted to search for an incomplete recovery represented by the data.
A pulse oximeter, comprising:
- a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient;
- and
- a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 time series based on the signal, and to search for an incomplete recovery represented by the SPO2 time series.
A system for analyzing data, comprising:
- means for receiving data corresponding to at least one time series;
- and
- means for searching the data to identify an incomplete recovery.
A tangible machine-readable medium, comprising:
- code adapted to access data corresponding to at least one time series;
- and
- code adapted to search the data to identify an incomplete recovery.
A patient monitor, comprising:
- a source of data corresponding to at least one time series;
- a processor that is adapted to detect an incomplete recoveries along the at least one time series, to compute an instability index value based at least in part on the incomplete recovery, and to output an indication of the incomplete recovery and the instability index value.
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- detecting at least one pattern in the data;
- and
- computing a plurality of sequential instability index values of the data based at least in part on the at least one pattern.
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- and
- detecting a plurality of pattern components of the data;
- computing a plurality of sequential instability index values of the data based at least in part on at least one of the plurality of pattern components.
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- and
- detecting a plurality of abnormal values in the data;
- computing a plurality of sequential instability index values of the data based at least in part on at least one of the plurality of abnormal values.
A method of analyzing data, comprising:
- receiving data corresponding to at least one time series;
- and
- detecting a plurality of abnormal values in the data;
- detecting at least one pattern of at least a subset of the abnormal values,
- computing a plurality of sequential instability index values based at least in part on the detecting of the plurality of abnormal values and the at least one pattern.
A method of analyzing data from a patient, comprising:
- receiving data corresponding to at least one time series having at least one complex pattern;
- computing a plurality of sequential instability index values indicative of an instability of the at least one pattern;
- and
- converting the plurality of sequential instability index values into an instability index time series.
A method of analyzing data from a patient, comprising:
- receiving data corresponding to at least one time series;
- and
- computing a plurality of sequential instability index values indicative of a plurality of sequential indications of a magnitude of instability of the patient.
A method of analyzing data from a patient, comprising:
- receiving data corresponding to at least one time series;
- and
- computing a plurality of sequential instability index values indicative of at least one pattern of magnitude of instability of the patient.
Dependencies are inferred from the claim text.