System for non-invasive cardiac output determination
First Claim
1. A method for determining cardiac output or stroke volume, comprising the activities of:
- receiving, by a processing device, signal data representing a plurality of parameters of a patient, said plurality of parameters being concurrently acquired from a patient over a particular time period and comprising at least two of(a) a parameter derived from an ECG waveform of said patient,(b) a parameter derived from a blood pressure signal of said patient,(c) a parameter derived from signal data representing oxygen content of blood of said patient, and(d) a parameter derived from a patient cardiac impedance value;
combining, by the processing device via a configured artificial neural network, said plurality of parameters and other information of the patient to generate coefficients as output of the artificial neural network, wherein the configured artificial neural network includes weights that are tuned using a training data set including said plurality of concurrently acquired parameters and the coefficients are generated by applying the weights between multiple layers of the artificial neural network;
calculating, by the processing device, a heart stroke volume of said patient comprising volume of blood transferred through the blood vessel in a heart cycle by determining a summation of the coefficients multiplied by selected parameters of the plurality of concurrently acquired parameters and statistical values of said selected parameters over said particular time period;
characterizing, by the processing device, cardiac arrhythmia using the calculated heart stroke volume; and
providing, by the processing device, data representing the characterized cardiac arrhythmia to a destination device.
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Abstract
A method determines cardiac output or stroke volume by receiving signal data representing multiple parameters of a patient concurrently acquired over a particular time period and comprising at least one of, (a) a parameter derived from an ECG waveform of the patient, (b) a parameter derived from a blood pressure signal of the patient, (c) a parameter derived from signal data representing oxygen content of blood of the patient and (d) a parameter derived from a patient cardiac impedance value. A selected parameter of the multiple concurrently acquired parameters is used in calculating a heart stroke volume of the patient comprising volume of blood transferred through the blood vessel in a heart cycle, in response to, a combination of a weighted summation of values of the selected parameter over the particular time period. Data representing the calculated heart stroke volume is provided to a destination device.
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Citations
18 Claims
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1. A method for determining cardiac output or stroke volume, comprising the activities of:
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receiving, by a processing device, signal data representing a plurality of parameters of a patient, said plurality of parameters being concurrently acquired from a patient over a particular time period and comprising at least two of (a) a parameter derived from an ECG waveform of said patient, (b) a parameter derived from a blood pressure signal of said patient, (c) a parameter derived from signal data representing oxygen content of blood of said patient, and (d) a parameter derived from a patient cardiac impedance value; combining, by the processing device via a configured artificial neural network, said plurality of parameters and other information of the patient to generate coefficients as output of the artificial neural network, wherein the configured artificial neural network includes weights that are tuned using a training data set including said plurality of concurrently acquired parameters and the coefficients are generated by applying the weights between multiple layers of the artificial neural network; calculating, by the processing device, a heart stroke volume of said patient comprising volume of blood transferred through the blood vessel in a heart cycle by determining a summation of the coefficients multiplied by selected parameters of the plurality of concurrently acquired parameters and statistical values of said selected parameters over said particular time period; characterizing, by the processing device, cardiac arrhythmia using the calculated heart stroke volume; and providing, by the processing device, data representing the characterized cardiac arrhythmia to a destination device. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for determining cardiac output or stroke volume, comprising the activities of:
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receiving, by a processing device, signal data representing a plurality of parameters of a patient including first and second different parameters, said plurality of parameters being concurrently acquired from a patient over a particular time period and comprising at least two of (a) a parameter derived from an ECG waveform of said patient, (b) a parameter derived from a blood pressure signal of said patient, and (c) a parameter derived from signal data representing oxygen content of blood of said patient; combining, by the processing device via a configured artificial neural network, said plurality of parameters and other information of the patient to generate coefficients as output of the artificial neural network, wherein the configured artificial neural network includes weights that are tuned using a training data set including said plurality of concurrently acquired parameters and the coefficients are generated by applying the weights between multiple layers of the artificial neural network; calculating, by the processing device, a heart stroke volume of said patient comprising volume of blood transferred through the blood vessel in a heart cycle by determining a first summation of values of the coefficients multiplied by the first parameter and a second summation of values of the coefficients multiplied by statistical values of the second parameter, over said particular time period; characterizing, by the processing device, cardiac arrhythmia using the calculated heart stroke volume; and providing data representing the characterized cardiac arrhythmia to a destination device. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for determining cardiac output or stroke volume, comprising:
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an interface configured to receive signal data representing a plurality of parameters of a patient, said plurality of parameters being concurrently acquired from a patient over a particular time period and comprising at least one of (a) a parameter derived from an ECG waveform of said patient, (b) a parameter derived from a blood pressure signal of said patient, (c) a parameter derived from signal data representing oxygen content of blood of said patient and (d) a parameter derived from a patient cardiac impedance value; a data processor configured to generate coefficients as output of a configured artificial neural network based on said plurality of parameters and other information of the patient, wherein the configured artificial neural network includes weights that are tuned using a training data set including said plurality of concurrently acquired parameters and the coefficients are generated by applying the weights between multiple layers of the artificial neural network, and calculating a heart stroke volume of said patient comprising volume of blood transferred through the blood vessel in a heart cycle, by determining a summation of the generated coefficients multiplied by the selected parameters of the plurality of concurrently acquired parameters over said particular time period and statistical values of said selected parameters; a detector configured to characterize cardiac arrhythmia using the calculated heart stroke volume; and an output processor configured to provide data representing the characterized cardiac arrhythmia to a destination device. - View Dependent Claims (18)
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Specification