Fetal data processing system and method

Claim 2

A fetal data processing method comprising: receiving a signal indicative of fetal heart rate time data for the fetus, said fetal heart rate time data indicating heart rate of the fetus over performing a non-linear time-frequency transformation on the fetal heart rate time data to generate a frequency-domain representation for the fetal heart rate time data; and analyzing the frequency domain representation to indicate a condition of the fetus related to the fetal heart rate time data.

Claim 3

The method of claim 1 further comprising: monitoring fetal heart rate variability; and indicating a transient change in fetal heart rate variability.

Claim 4

The method of claim 1 further comprising: monitoring the fetal heart rate; and indicating a transient change in the fetal heart rate.

Claim 5

The method of claim 1 further comprising analyzing the fetal heart rate time data to indicate the condition of the fetus.

Claim 6

The method of claim 1 further comprising analyzing a uterine contraction signal to indicate the condition of the fetus.

Claim 7

The method of claim 1 further comprising analyzing a fetal movement signal to indicate the condition of the fetus.

Claim 8

The method of claim 1 wherein the step of performing the non-linear time-frequency transformation comprises the step of generating a smoothed Wigner distribution.

Claim 9

The method of claim 1 further comprising evaluating overall well-being of the fetus based on analysis of the frequency domain representation.

Claim 10

The method of claim 8 further comprising: generating data used to evaluate overall well-being of the fetus; selecting a subset of the data for display; and displaying the selected subset of data in real time.

Claim 11

The method of claim 8 further comprising: analyzing the indicated condition of the fetus; and generating recommendations regarding fetal well-being.

Claim 12

The method of claim 1 wherein the step of analyzing the frequency-domain representation comprises: generating fetal data related to the frequency-domain representation; and applying a set of classification rules to the fetal data to classify the fetal data.

Claim 13

The method of claim 1 wherein the step of analyzing the frequency-domain representation comprises: generating a pattern of fetal data related to the frequency-domain representation; and applying the pattern of fetal data to a neural network to classify the pattern of fetal data.

Claim 14

The method of claim 1 wherein the step of analyzing the frequency-domain representation comprises: generating fetal data related to the frequency-domain representation; applying a set of classification rules to at least a portion of the fetal data to classify the portion of the fetal data; and applying at least a portion of the fetal data to a neural network to classify the portion of the fetal data.

Claim 15

The method of claim 1 wherein the step of analyzing the frequency-domain representation comprises analyzing the frequency-domain representation within a range of frequencies, said range of frequencies being divided into plural frequency bands, each of said frequency bands being associated with a set of physiological characteristics of human fetuses.

Claim 16

The method of claim 1 wherein the step of performing the non-linear time-frequency transformation comprises generating the frequency-domain representation over a frequency range from 0.02 Hz to 1.1 Hz , said frequency range being associated with a set of physiological characteristics of human fetuses.

Claim 17

The method of claim 1 wherein the step of analyzing the frequency-domain representation comprises computing areas under the frequency-domain representation, said areas being used to indicate the condition of the fetus.

Claim 18

The method of claim 1 wherein the step of performing the non-linear time-frequency transformation comprises generating the frequency-domain representation using fetal heart rate time data from a time period of less than ten seconds.

Claim 19

The method of claim 1 wherein the step of performing the non-linear time-frequency transformation comprises sampling the fetal heart rate time data at a frequency greater than 2 Hz.

Claim 20

The method of claim 1 further comprising: generating data used to indicate the condition of the fetus; selecting a subset of the data for display; and displaying the selected subset of data in real time.

Claim 21

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing subsystem comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data from the input, to perform a non-linear time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate, based on the analysis of the frequency-domain representation, a condition of the fetus related to the fetal heart rate time data.

Claim 22

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing subsystem comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data from the input, to perform a non-linear time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate, based on the analysis of the frequency-domain representation, a condition of the fetus related to the fetal heart rate time data.

Claim 23

The fetal data processing system of claim 20 wherein the processing subsystem also analyzes the fetal heart rate time data to indicate the condition of the fetus.

Claim 24

The fetal data processing system of claim 20 wherein the processing subsystem also analyzes a uterine contraction signal to indicate the condition of the fetus.

Claim 25

The fetal data processing system of claim 20 wherein the processing subsystem also analyzes a fetal movement signal to indicate the condition of the fetus.

Claim 26

The fetal data processing system of claim 20 wherein the processing subsystem analyzes the frequency-domain representation in plural frequency bands, each of said frequency bands being associated with a set of physiological characteristics of human fetuses.

Claim 27

The fetal data processing system of claim 20 wherein: the processing subsystem is programmed with a set of classifying rules; and the processor, in analyzing the frequency-domain representation, generates a pattern of fetal data and applies the set of classifying rules to the pattern of fetal data to classify the pattern of fetal data.

Claim 28

The fetal data processing system of claim 25 wherein the processing subsystem comprises at least one neural network, the processor applying a pattern of fetal data to the neural network to classify the fetal data.

Claim 29

The fetal data processing system of claim 20 wherein: the processing subsystem comprises at least one neural network; and the processor, in analyzing the frequency-domain representation, generates a pattern of fetal data and applies the pattern of fetal data to the neural network to classify the pattern of fetal data.

Claim 30

The fetal data processing system of claim 20 wherein the processing subsystem, based on the analysis of the frequency-domain representation, evaluates overall well-being of the fetus.

Claim 31

The fetal data processing system of claim 28 further comprising a display, wherein the processor identifies fetal data used to evaluate the overall well-being of the fetus, identifies a subset of the fetal data for display and provides the subset of fetal data to the display.

Claim 32

The fetal data processing system of claim 29 wherein the processor generates recommendations regarding overall fetal well-being and forwards the recommendations to the display.

Claim 33

The fetal data processing system of claim 20 further comprising a display, wherein the processor identifies fetal data used to indicate the condition of the fetus, identifies a subset of the fetal data for display and provides the subset of fetal data to the display.

Claim 34

The fetal data processing system of claim 20 further comprising a sensor that senses fetal heartbeat and generates therefrom the fetal heart rate time data received at the input.

Claim 35

The fetal data processing system of claim 20 wherein the processor performs the non-linear time-frequency transformation on fetal heart rate time data from a time period not greater than 10 seconds.

Claim 36

A fetal data processing method comprising: receiving a signal indicative of fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; sampling the fetal heart rate time data over a time period which does not exceed 10 seconds to generate sampled fetal heart rate time data; performing a time-frequency transformation on the sampled fetal heart rate time data to generate a frequency-domain representation for the sampled fetal heart rate time data; and analyzing the frequency-domain representation to indicate a condition of the fetus related to the fetal heart rate time data.

Claim 37

A fetal data processing method comprising: receiving a signal indicative of fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; sampling the fetal heart rate time data over a time period which does not exceed 10 seconds to generate sampled fetal heart rate time data; performing a time-frequency transformation on the sampled fetal heart rate time data to generate a frequency-domain representation for the sampled fetal heart rate time data; and analyzing the frequency-domain representation to indicate a condition of the fetus related to the fetal heart rate time data.

Claim 38

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing subsystem comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data, to sample the fetal heart rate time data over a time period that does not exceed 10 seconds such that sampled fetal heart rate time data is generated, to perform a time-frequency transformation on the sampled fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate, based on the analysis of the frequency-domain representation, a condition of the fetus related to the sampled fetal heart rate time data.

Claim 39

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing subsystem comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data, to sample the fetal heart rate time data over a time period that does not exceed 10 seconds such that sampled fetal heart rate time data is generated, to perform a time-frequency transformation on the sampled fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate, based on the analysis of the frequency-domain representation, a condition of the fetus related to the sampled fetal heart rate time data.

Claim 40

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing system comprising: a neural network that receives data and classifies the data, and a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data from the input, to perform a time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation, to generate a pattern of data based on the analysis of the frequency-domain representation, to apply the pattern of data to the neural network such that the neural network provides a classification of the pattern of data, to receive the classification of the pattern of data from the neural network, and to indicate a condition of the fetus based on the classification of the pattern of data.

Claim 41

A fetal data processing system comprising: an input that receives fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing system comprising: a neural network that receives data and classifies the data, and a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data from the input, to perform a time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation, to generate a pattern of data based on the analysis of the frequency-domain representation, to apply the pattern of data to the neural network such that the neural network provides a classification of the pattern of data, to receive the classification of the pattern of data from the neural network, and to indicate a condition of the fetus based on the classification of the pattern of data.

Claim 44

A fetal monitor comprising: a sensor that senses a fetal heartbeat and generates fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing system comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data, to perform a non-linear time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate a condition of the fetus related to the fetal heart rate time data.

Claim 45

A fetal monitor comprising: a sensor that senses a fetal heartbeat and generates fetal heart rate time data for a fetus, said fetal heart rate time data indicating heart rate of the fetus over time; and a processing system comprising a processor and a memory, the processor running under control of a program stored in the memory to receive the fetal heart rate time data, to perform a non-linear time-frequency transformation on the fetal heart rate time data said transformation generating a frequency-domain representation for the fetal heart rate time data, to analyze the frequency-domain representation and to indicate a condition of the fetus related to the fetal heart rate time data.