Detection of physiological changes
First Claim
1. A method of detecting changes relating to activity of a heart, the method comprising:
- embedding time series data relating to the activity of the heart within a reconstructed phase space to generate embedded time series data;
partitioning the reconstructed phase space into a plurality of regions;
generating a first matrix having a plurality of cells, wherein the first matrix comprises a row and a column for each of the plurality of regions, wherein a value stored in each cell is based on a probability the activity of the heart will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded time series data within at least one of the first region and the second region, and wherein the first matrix is generated using a first set of the time series data associated with a normal operating condition of the heart;
generating a second matrix based on a second set of the time series data; and
comparing the first matrix and the second matrix to detect a heart attack;
wherein comparing the first matrix and the second matrix comprises;
calculating a state change parameter representing a degree of state change between a first state associated with the first matrix and a second state associated with the second matrix; and
comparing the state change parameter to a threshold value; and
wherein the method further comprises performing an action relating to the heart attack when the state change parameter exceeds the threshold value.
1 Assignment
0 Petitions
Accused Products
Abstract
Systems and methods for detecting changes in a physiological system are provided. A method comprises embedding time series data relating to the physiological system within a reconstructed phase space and partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a first matrix having a plurality of cells. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region. The first matrix is associated with a normal operating condition of the physiological system. The method further comprises comparing the first matrix and a second matrix based on different data to detect an anomalous condition of the physiological system.
-
Citations
16 Claims
-
1. A method of detecting changes relating to activity of a heart, the method comprising:
-
embedding time series data relating to the activity of the heart within a reconstructed phase space to generate embedded time series data; partitioning the reconstructed phase space into a plurality of regions; generating a first matrix having a plurality of cells, wherein the first matrix comprises a row and a column for each of the plurality of regions, wherein a value stored in each cell is based on a probability the activity of the heart will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded time series data within at least one of the first region and the second region, and wherein the first matrix is generated using a first set of the time series data associated with a normal operating condition of the heart; generating a second matrix based on a second set of the time series data; and comparing the first matrix and the second matrix to detect a heart attack; wherein comparing the first matrix and the second matrix comprises; calculating a state change parameter representing a degree of state change between a first state associated with the first matrix and a second state associated with the second matrix; and comparing the state change parameter to a threshold value; and wherein the method further comprises performing an action relating to the heart attack when the state change parameter exceeds the threshold value. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A system, comprising:
an electronic processor configured to embed time series data relating to activity of a heart within a reconstructed phase space to generate embedded time series data; partition the reconstructed phase space into a plurality of regions; generate a first matrix having a plurality of cells, wherein the first matrix comprises a row and a column for each of the plurality of regions, wherein a value stored in each cell is based on a probability the activity of the heart will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded time series data within at least one of the first region and the second region, and wherein the first matrix is generated using a first set of the time series data associated with a normal operating condition of the heart; generate a second matrix based on a second set of the time series data; and compare the first matrix and the second matrix to detect a heart attack by; calculating a state change parameter representing a degree of state change between a first state associated with the first matrix and a second state associated with the second matrix; and comparing the state change parameter to a threshold value; and perform an action relating to the heart attack when the state change parameter exceeds the threshold value. - View Dependent Claims (8, 9, 10, 11, 12)
-
13. One or more non-transitory computer-readable media having instructions stored thereon, the instructions being executable by one or more processors to execute a method comprising:
-
embedding time series data within a reconstructed phase space to generate embedded time series data, wherein the time series data comprises heart activity data representative of activity of a heart of a person; partitioning the reconstructed phase space into a plurality of regions; generating a first matrix having a plurality of cells, wherein the first matrix comprises a row and a column for each of the plurality of regions, wherein a value stored in each cell is based on a probability the activity of the heart will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded time series data within at least one of the first region and the second region; generating a second matrix based on a second set of the time series data; and comparing the first matrix and the second matrix to detect a heart attack by; calculating a state change parameter representing a degree of state change between a first state associated with the first matrix and a second state associated with the second matrix; and comparing the state change parameter to a threshold value; and performing an action relating to the heart attack when the state change parameter exceeds the threshold value. - View Dependent Claims (14, 15, 16)
-
Specification