CN111387939A - Measuring method and device of heart discharge capacity, computer equipment and storage medium - Google Patents
Measuring method and device of heart discharge capacity, computer equipment and storage medium Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0295—Measuring blood flow using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
Abstract
The application relates to a method and a device for measuring cardiac output, a computer device and a storage medium. The method comprises the following steps: acquiring at least two sets of impedance signals of a subject, wherein each set of impedance signals comprises a plurality of impedance signals of the same body segment of the subject; respectively extracting the characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals; a target cardiac output is determined based on the respective candidate cardiac outputs. The method, the device, the computer equipment and the storage medium for measuring the cardiac output can measure more accurate cardiac output.
Description
Technical Field
The present application relates to the medical field, and in particular, to a method and an apparatus for measuring cardiac output, a computer device, and a storage medium.
Background
The cardiac output is an important parameter index reflecting the cardiac function of a patient, the pumping function of the heart is known, the related hemodynamic index is calculated, and the clinical treatment is guided, so that the cardiac output has important value particularly in the monitoring of the cardiac function of critical patients and cardiac patients. At present, the relatively accurate measurement method of the heart discharge capacity in the medical field generally utilizes expensive and complex equipment such as a Doppler ultrasonic instrument to measure, or auscultates heart sound signals through doctors, and calculates the heart discharge capacity based on the heart sound signals, and the two methods have high requirements on medical equipment or personnel, cannot be realized in household equipment, and enable patients not to measure the heart discharge capacity frequently.
At present, a mode of measuring the chest impedance of a human body by using impedance measuring equipment and then calculating the cardiac output according to the chest impedance is also proposed in the industry, but the mode has the problem of low accuracy, and the measurement result is difficult to be used as the basis of medical treatment.
Disclosure of Invention
In view of the above, there is a need to provide a method, an apparatus, a computer device and a storage medium for measuring cardiac output with high accuracy and easy implementation.
A method of measuring cardiac output, the method comprising:
obtaining at least two sets of impedance signals of a subject, wherein each set of the impedance signals comprises a plurality of impedance signals of a same body segment of the subject;
respectively extracting characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals;
determining a target cardiac output based on each of the candidate cardiac outputs.
In one embodiment, the determining a target cardiac displacement based on each of the candidate cardiac displacements comprises:
determining a compensated cardiac output according to a difference value between at least two candidate cardiac outputs and a preset compensation coefficient;
determining a target cardiac output based on at least one of the candidate cardiac outputs and the compensated cardiac output.
In one embodiment, the at least two sets of impedance signals are measured by a preset measuring device on the measurer, and the method further includes:
obtaining a reference cardiac output, the reference cardiac output determined by cardiac output measurements of a sample object by a reference device;
acquiring at least two sets of sample heart rate volumes, the sample heart rate volumes being determined by the measurement device acquiring impedance signals of the sample object;
determining a compensation factor based on the at least two sets of sample cardiac displacements and the reference cardiac displacement.
In one embodiment, the determining a compensation factor based on the at least two sets of sample cardiac displacements and the reference cardiac displacement includes:
comparing the at least two groups of sample heart discharge capacities with the reference heart discharge capacity respectively to obtain at least two error distribution parameters;
a compensation coefficient is determined based on the at least two error distribution parameters.
In one embodiment, the performing feature extraction on each group of the impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of the impedance signals includes:
determining a first characteristic point, a second characteristic point and a third characteristic point from each group of the impedance signals; the first characteristic point, the second characteristic point and the third characteristic point are three adjacent extreme points in the impedance signal;
determining a first measurement parameter and a second measurement parameter of the impedance signal based on the first feature point, the second feature point, and the third feature point; the first measurement parameter represents a time difference between the first feature point and the third feature point, and the second measurement parameter represents a magnitude difference between the first feature point and the second feature point.
In one embodiment, the method further comprises:
acquiring physiological parameters of a measurer;
the determining, according to the first measurement parameter and the second measurement parameter corresponding to each group of the impedance signals, the candidate cardiac output volume corresponding to the impedance signal respectively includes:
and respectively determining candidate cardiac output volumes corresponding to the impedance signals according to the physiological parameters and the first and second measurement parameters corresponding to each group of impedance signals.
In one embodiment, the acquiring at least two sets of impedance signals of the measurer includes:
acquiring at least one set of hand impedance signals of the subject;
at least one set of foot impedance signals of the measurer is acquired.
A device for measuring cardiac output, the device comprising:
an impedance signal acquisition module for acquiring at least two sets of impedance signals of a subject, wherein each set of the impedance signals comprises a plurality of impedance signals of the same body segment of the subject;
the characteristic extraction module is used for respectively extracting characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
the candidate cardiac output determining module is used for determining the candidate cardiac output corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals;
a target cardiac displacement determination module to determine a target cardiac displacement based on the at least two candidate cardiac displacements.
An electronic device comprising a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The method, the device, the computer equipment and the storage medium for measuring the cardiac output acquire at least two groups of impedance signals of a measurer, wherein each group of impedance signals comprises a plurality of impedance signals of the same body segment of the measurer; respectively extracting the characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals; determining a target cardiac output volume based on the respective candidate cardiac output volumes; the heart discharge capacity is determined through at least two groups of impedance signals, so that the problem that errors are easily caused by only one group of impedance signals, and the measuring result is unstable is solved, and the accuracy and the stability of the heart discharge capacity measuring result are improved.
Drawings
FIG. 1 is a diagram of an embodiment of an application of a method of measuring heart rate;
FIG. 2 is a schematic flow chart diagram illustrating a method of measuring heart rate in one embodiment;
FIG. 3 is a schematic flow chart of the step of determining the compensation factor in one embodiment;
FIG. 4 is a schematic flow chart of a method of measuring heart rate in another embodiment;
FIG. 5 is a schematic flow chart of the steps of determining a first measured parameter and a second measured parameter in one embodiment;
FIG. 6 is a schematic illustration of determining a first measured parameter and a second measured parameter in one embodiment;
FIG. 7 is a block diagram of a device for measuring displacement by heart in one embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for measuring the cardiac output provided by the embodiment of the application can be applied to the application environment shown in fig. 1. 102 is a measurer and 104 and 106 are measuring devices. Acquiring two sets of impedance signals acquired by measurement devices 104 and 106, wherein each measurement device makes multiple measurements of a body segment of a respective pair of measurers 102 to obtain a set of impedance signals; respectively extracting the characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals; a target cardiac output is determined based on the respective candidate cardiac outputs. The measuring devices 104 and 106 may be, but are not limited to, various smart terminals, wearable devices, or electronic scales, among others. For example, the measurement device 104 is a smart wearable device such as a bracelet or a watch, and the measurement device 106 is an electronic scale. In other application environments, two sets of impedance signals may be acquired by a single measuring device, for example, by an eight-electrode body fat scale with a handle, and at least one set of impedance signals between two hands and at least one set of impedance signals between two feet may be acquired simultaneously.
In one embodiment, as shown in fig. 2, a method for measuring cardiac output is provided, which may be applied to a measurement device or a processing device connected to the measurement device. The method comprises the following steps:
at least two sets of impedance signals of the subject are acquired, wherein each set of impedance signals comprises a plurality of impedance signals of the same body segment of the subject, step 202.
The at least two groups of impedance signals can be obtained by impedance measurement of at least two body segments of a measurer by the same measuring device, or obtained by impedance measurement of different body segments of the measurer by a plurality of devices.
Specifically, each measuring device comprises at least two pairs of electrodes, namely at least one pair of excitation electrodes and at least one pair of measuring electrodes, one excitation electrode and one measuring electrode are respectively arranged at least two parts of the body of a measurer, excitation signals can be conducted to the at least two parts of the body of the measurer through the excitation electrodes, and impedance signals of a body section between the at least two parts are measured through the at least two measuring electrodes in contact with the parts.
Taking one of the measuring devices as a four-electrode human body scale as an example, when a measurer stands on the human body scale, the left foot and the right foot respectively contact an excitation electrode and a measuring electrode at the same time, excitation signals are conducted to the left foot and the right foot through the two excitation electrodes, a loop is formed between the left foot and the right foot of the measurer, voltage signals between the left foot and the right foot are measured through the measuring electrodes respectively contacting with the left foot and the right foot, and then impedance signals between the two feet of the measurer are calculated. Similarly, impedance signals of other body segments of the person to be measured can be measured by other measuring devices, whereby the impedance signals of at least two segments of the person to be measured are acquired a plurality of times over a period of time by means of at least two measuring devices, and the plurality of impedance signals of each segment are divided into the same group to obtain at least two groups of impedance signals.
When the method for measuring cardiac output is applied to a measuring device, the measuring device can perform impedance detection on one body segment of a measurer to obtain a group of impedance signals, and additionally receive at least one group of impedance signals sent by at least one other measuring device, so as to obtain at least two groups of impedance signals. Alternatively, the measurement device may perform impedance measurements on at least two body segments of the subject, respectively, resulting in at least two sets of impedance signals.
When the above-mentioned measuring method of cardiac output is applied to a non-measuring device, such as a processing device, the processing device may receive impedance signals respectively transmitted by at least two measuring devices to obtain at least two sets of impedance signals. Alternatively, the processing device may also receive at least two sets of impedance signals measured by the same right measurement device.
And 204, respectively performing feature extraction on each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals.
The characteristic parameters of the characteristic points can comprise the time of the characteristic points, the amplitude values of the characteristic points and the like, and accordingly, the first measurement parameter and the second measurement parameter can be respectively used for representing the change condition of the impedance signals in specific time, the systolic time interval, the left ventricular ejection time (L VET) and the like.
And step 206, determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals.
The cardiac output is an important parameter index reflecting the cardiac function of a measurer, the pumping function of the heart is known, the related hemodynamic index is calculated, and the clinical treatment is guided, so that the cardiac output has important value particularly in the monitoring of the cardiac function of critical patients and cardiac patients.
Since the impedance signal changes along with the respiration or the heartbeat of the tested person, the cardiac output of the tested person can be reversely determined according to the change of the impedance signal. From each set of impedance signals, one or more alternative heart rates may be obtained. When the number of the candidate cardiac output volumes is only 1, the candidate cardiac output volume is the candidate cardiac output volume corresponding to the set of impedance signals. When there are a plurality of candidate heart volumes, a candidate heart volume may be screened from the plurality of candidate heart volumes.
It can be understood that the cardiac output waveform of the same measurer in the same time period is kept stable, and the variation amplitude of the waveform is not too large, so that each alternative cardiac output can be screened through a parameter for measuring the variation degree of the cardiac output, and a more accurate candidate cardiac output is obtained. Parameters measuring the variation degree of the cardiac output such as the variance of the amplitude of the candidate cardiac output vertex, the similarity of the morphology, etc.
At step 208, a target cardiac output is determined based on the respective candidate cardiac outputs.
A candidate cardiac output volume may be determined based on one set of impedance signals, and at least two candidate cardiac output volumes may be determined based on at least two sets of impedance signals.
In one embodiment, the average of at least two candidate cardiac displacements may be taken as the target cardiac displacement.
In another embodiment, the candidate cardiac displacement with the largest value among the candidate cardiac displacements may be determined as the target cardiac displacement. In other embodiments, the candidate cardiac displacement with the smallest value in the candidate cardiac displacements may be determined as the target cardiac displacement, or the candidate cardiac displacement with the next smallest value in the candidate cardiac displacements may be determined as the target cardiac displacement, but is not limited thereto.
The measuring method of the cardiac output obtains at least two groups of impedance signals acquired by at least two measuring devices, wherein each measuring device acquires one group of impedance signals of a measurer; respectively extracting the characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals; determining a target cardiac output volume based on the respective candidate cardiac output volumes; the heart discharge capacity is determined through at least two groups of impedance signals, so that the problem that errors are easily caused by only one group of impedance signals, and the measuring result is unstable is solved, and the accuracy and the stability of the heart discharge capacity measuring result are improved.
According to the method for measuring the cardiac output, only the impedance signal is measured by the measuring equipment, the target cardiac output can be calculated through the impedance signal, and the method is convenient to implement. Wherein, measuring equipment such as human body scale, intelligent bracelet, intelligent wrist-watch, intelligent closestool also can measure in multiple place.
In one embodiment, after at least two groups of impedance signals of a measurer are obtained, preprocessing each group of impedance signals to obtain preprocessed impedance signals; and respectively extracting the characteristics of each group of preprocessed impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals.
The preprocessing can be to filter the impedance signal, filter various noises in the impedance signal, and obtain a more accurate impedance signal. The Impedance signal after preprocessing is an ICG (Impedance Cardiography) signal. During filtering, firstly, electromyographic interference is removed, and then difference inversion is carried out on the impedance signals. Since the frequency spectrum of the noise overlaps with the frequency spectrum of the effective signal, the impedance signal may be filtered by using an adaptive IIR (Infinite Impulse Response digital filter) filter, such as a time domain filter, or the noise may be removed by using a wavelet transform.
In one embodiment, in order to improve the accuracy of the target cardiac output, the step of determining the target cardiac output based on the candidate cardiac outputs comprises: determining a compensated cardiac output volume according to a difference value between at least two candidate cardiac output volumes and a preset compensation coefficient; based on the at least one candidate cardiac output and the compensated cardiac output, a target cardiac output is determined.
And when the number of the candidate cardiac output volumes is 2, performing difference operation on the two candidate cardiac output volumes to obtain a difference value, and calculating the difference value and a preset compensation coefficient to obtain the compensated cardiac output volume. Further, 1/2 of the preset compensation coefficient can be multiplied by the difference to obtain the compensated displacement; the difference value can also be added to a preset compensation coefficient to obtain a compensated displacement; the difference value can also be multiplied by a preset compensation coefficient to obtain the compensated displacement.
When the number of the candidate cardiac output volumes is larger than 2, pairwise difference operation can be respectively carried out on the candidate cardiac output volumes to obtain at least two difference values, and then the compensated cardiac output volume is determined according to the compensation coefficient and the at least two difference values. Optionally, an average value of the at least two difference values may be obtained, and then the average value is multiplied by the compensation coefficient to obtain a compensated displacement; or selecting the largest difference from at least two differences, and multiplying the largest difference by the compensation coefficient to obtain the compensated displacement; the minimum difference value can be selected from the at least two difference values, and the minimum difference value is multiplied by the compensation coefficient to obtain the compensated displacement. The specific method for determining the compensated cardiac output may be set according to the user's needs, but is not limited thereto.
Optionally, a candidate cardiac displacement may be randomly selected from at least one candidate cardiac displacement, and a target cardiac displacement may be determined based on the selected candidate cardiac displacement and the compensated cardiac displacement; the candidate cardiac output volume corresponding to the specified body segment can be selected from at least one candidate cardiac output volume, and the target cardiac output volume is determined based on the selected candidate cardiac output volume and the compensated cardiac output volume; the maximum or minimum candidate cardiac displacement may be selected from at least one candidate cardiac displacement, and the target cardiac displacement may be determined based on the selected candidate cardiac displacement and the compensated cardiac displacement, but is not limited thereto.
In this embodiment, according to a difference between at least two candidate cardiac displacements and a preset compensation coefficient, a compensated cardiac displacement may be determined for compensating the candidate cardiac displacements, and the candidate cardiac displacements corresponding to each group of impedance signals may be further corrected to obtain a more accurate candidate cardiac displacement, so that based on at least one candidate cardiac displacement and the compensated cardiac displacement, a more accurate target cardiac displacement may be determined.
In one embodiment, in order to determine a reasonable compensation factor to ensure the accuracy of compensating the displacement, as shown in fig. 3, the method further comprises:
The reference device is a device for performing a cardiac measurement on the sample object, such as a CNAP (Continuous Non-invasive Arterial Pressure), which can measure a more accurate cardiac output. The heart rate of the sample object can be measured by the reference device, and the reference heart rate is obtained. The reference displacement may be used as a standard value for comparison with the sample displacement to determine a more reasonable compensation factor.
At least two sets of sample displacement volumes are acquired, step 304, the sample displacement volumes being determined by the measurement device acquiring impedance signals of the sample objects.
Specifically, at least two sets of impedance signals of the sample object are acquired by the measuring device; respectively extracting the characteristics of each group of impedance signals to obtain a third measurement parameter and a fourth measurement parameter of each group of impedance signals; and determining the sample heart displacement volume corresponding to each group of impedance signals according to the third measurement parameter and the fourth measurement parameter corresponding to each group of impedance signals, so as to obtain at least two groups of sample heart displacement volumes.
The method comprises the steps of respectively extracting characteristics of each group of impedance signals to obtain a third measurement parameter and a fourth measurement parameter of each group of impedance signals, and specifically determining a fourth characteristic point, a fifth characteristic point and a sixth characteristic point from each group of impedance signals; the fourth characteristic point, the fifth characteristic point and the sixth characteristic point are three adjacent extreme points in the impedance signal; determining a third measurement parameter and a fourth measurement parameter of the impedance signal based on the fourth feature point, the fifth feature point and the sixth feature point; the first measurement parameter represents a time difference between the first characteristic point and the third characteristic point, and the second measurement parameter represents a magnitude difference between the first characteristic point and the second characteristic point.
And according to the time sequence of the acquired impedance signals from morning to night, sequentially determining any adjacent three extreme points as a fourth characteristic point, a fifth characteristic point and a sixth characteristic point. And acquiring a third time corresponding to the fourth characteristic point and a fourth time corresponding to the sixth characteristic point, and determining a difference value between the third time and the fourth time as a third measurement parameter. And acquiring a third amplitude corresponding to the fourth characteristic point and a fourth amplitude of the fifth characteristic point, and determining a difference value between the third amplitude and the fourth amplitude as a fourth measurement parameter.
In step 306, a compensation factor is determined based on the at least two sets of sample and reference heart displacement volumes.
And comparing the at least two groups of sample heart discharge volumes with the reference heart discharge volumes respectively, and determining a compensation coefficient according to the comparison result. For example, based on the difference between the sample displacement and the reference displacement, a compensation factor is determined, using the reference displacement as a criterion.
In the present embodiment, a reference cardiac output is obtained, which is determined by performing cardiac output measurement on the sample object by the reference device; acquiring at least two groups of sample heart discharge volumes, wherein the sample heart discharge volumes are determined by acquiring impedance signals of sample objects through measuring equipment; a more accurate compensation factor may be determined based on the at least two sets of sample and reference heart rates.
In one embodiment, after determining the compensation coefficient, a compensated displacement may be determined according to a difference between at least two candidate displacements and a preset compensation coefficient; optionally, the step of determining the target cardiac displacement based on the at least one candidate cardiac displacement and the compensated cardiac displacement may comprise: overlapping the compensated cardiac output with any candidate cardiac output to determine a target cardiac output; or, the compensated cardiac output is superposed with the average value of the candidate cardiac outputs to determine the target cardiac output.
In one embodiment, a plurality of sample objects may be selected, and step 302-step 306 may be performed separately, so as to obtain statistical data of a difference between the sample displacement of the plurality of sample objects and the reference displacement, and determine a compensation coefficient according to the statistical data of the difference, so that the compensation coefficient is more reasonable and accurate.
Further, by classifying a large number of sample objects, compensation coefficients corresponding to different categories, such as compensation parameters corresponding to different age groups, different genders, and the like, can also be determined.
In one embodiment, determining a compensation factor based on at least two sets of sample and reference heart displacements comprises: comparing the at least two groups of sample heart discharge volumes with reference heart discharge volumes respectively to obtain at least two error distribution parameters; a compensation factor is determined based on the at least two error distribution parameters.
It can be understood that the reference cardiac output measured by the reference device is a more accurate value that can be used as a reference standard, and each set of sample cardiac outputs can be compared with the reference cardiac output respectively, so as to obtain at least two error distribution parameters.
Assuming that each set of error distribution parameters obeys a gaussian distribution N (u,2). Where u represents the mean value of the error distribution parameter,2representing the variance of the error distribution parameter. The mean u and variance of each set of error distribution parameters can be determined according to a maximum likelihood estimation method2. The variance of each set of error distribution parameters is obtained, and a compensation coefficient can be determined based on the variance of each set of error distribution parameters. Variance is a measure of the degree of dispersion of a set of data. The compensation coefficients can be determined more accurately based on the variance of each set of error distribution parameters.
In one embodiment, when two sets of impedance signals of a sample object are acquired by a measurement device to determine corresponding two sets of sample heart rates, the error distribution parameter corresponding to each set of sample heart rates is subject to highGaussian distribution, i.e. the error distribution parameters corresponding to the heart-displacement of the first set of samples obey the Gaussian distribution N (u1, 1)2). Where u1 represents the mean of the error distribution parameters corresponding to the cardiac displacements of the first set of samples, 12And representing the variance of the error distribution parameters corresponding to the heart displacement of the first group of samples. Similarly, the error distribution parameters corresponding to the second set of sample displacements are also subjected to a Gaussian distribution N (u2, 2)2). Where u2 represents the mean of the error distribution parameters for the second set of sample displacements, 22And representing the variance of the error distribution parameters corresponding to the cardiac displacements of the second set of samples.
It can be understood that each set of error distribution parameters follows a gaussian distribution, and each set of error distribution parameters is independent from each other, so that the compensation coefficients determined based on the two sets of error distribution parameters also conform to the gaussian distribution, and more accurate target cardiac output can be obtained according to the compensation coefficients.
In one embodiment, as shown in FIG. 4, steps 402-408 and 410-416 are performed separately. Step 402, obtaining an impedance signal B11 collected by a measuring device A1; in step 410, an impedance signal B21 collected by the measurement device a2 is obtained. The step 404 of preprocessing the impedance signal B11 is performed on the acquired impedance signal B11 to obtain a more accurate impedance signal B12 with noise interference removed. The step 412 is performed on the acquired impedance signal B21, that is, the impedance signal B21 is preprocessed, so that a more accurate impedance signal B22 with noise interference removed is obtained.
Step 406 is performed on the preprocessed impedance signal B12, that is, feature extraction is performed on the preprocessed impedance signal B12, so as to obtain a first measurement parameter and a second measurement parameter corresponding to the preprocessed impedance signal B12. Step 414 is performed on the preprocessed impedance signal B22, that is, feature extraction is performed on the preprocessed impedance signal B22, so as to obtain a first measurement parameter and a second measurement parameter corresponding to the preprocessed impedance signal B22.
According to the first measurement parameter and the second measurement parameter corresponding to the impedance signal B12 after preprocessing, step 408 is performed to determine the candidate cardiac output volume 1 corresponding to the impedance signal B12 after preprocessing. According to the first and second measured parameters corresponding to the pre-processed impedance signal B22, step 416 is performed to determine the candidate cardiac output volume 2 corresponding to the pre-processed impedance signal B22. Step 418 is performed to count the error distribution parameters and determine the compensation coefficients. And executing step 420 according to the candidate cardiac output 1 and the candidate cardiac output 2 and the compensation coefficient, and determining the target cardiac output.
Wherein, counting error distribution parameters, determining compensation coefficients, comprises: obtaining a reference cardiac output volume, which is determined by cardiac output measurement of a sample object through a reference device; acquiring at least two groups of sample heart discharge volumes, wherein the sample heart discharge volumes are determined by acquiring impedance signals of sample objects through measuring equipment; comparing the at least two groups of sample heart discharge volumes with reference heart discharge volumes respectively to obtain at least two error distribution parameters; a compensation factor is determined based on the at least two error distribution parameters.
In an embodiment, as shown in fig. 5, the performing feature extraction on each group of impedance signals respectively to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals includes:
Specifically, based on the impedance waveform formed by each group of impedance signals, three adjacent extreme points in the waveform are determined, namely a first characteristic point, a second characteristic point and a third characteristic point. The extreme points include a maximum point and a minimum point. For example, the first feature point and the third feature point are maximum value points, and the second feature point is a minimum value point; or the first feature point and the third feature point are minimum value points, and the second feature point is a maximum value point.
And according to the time sequence of the acquired impedance signals from morning to evening, sequentially determining any three adjacent extreme points as a first characteristic point, a second characteristic point and a third characteristic point. And acquiring a first moment of the first characteristic point and a second moment of the third characteristic point, and determining a difference value between the first moment and the second moment as a first measurement parameter. And acquiring a first amplitude of the first characteristic point and a second amplitude of the second characteristic point, and determining a difference value between the first amplitude and the second amplitude as a second measurement parameter.
For example, as shown in FIG. 6, B0Is a first characteristic point, C0Is the second characteristic point, X0As a third feature point, dZamp _ B0Is a first amplitude of the first feature point, dZamp _ C0Determining the difference between the first and second amplitudes as a second measured parameter for a second amplitude of the second characteristic point L VET0Is the difference between the instant of the first characteristic point and the instant of the third characteristic point, i.e. the first measured parameter.
In one embodiment, the method further comprises: the physiological parameters of the measurer are acquired. Respectively determining candidate cardiac output corresponding to the impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals, wherein the method comprises the following steps: and respectively determining the candidate cardiac output corresponding to each group of impedance signals according to the physiological parameters, the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals.
Alternatively, the physiological parameter of the measurer may include at least one of height, weight, blood pressure, obesity rate, and the like.
It will be appreciated that the cardiac output is related to physiological parameters of the subject in addition to the health of the heart. For example, the higher the height of the measurer, the greater the cardiac output; the heavier the weight of the measurement, the greater the cardiac output.
The first measurement parameter and the second measurement parameter corresponding to each group of impedance signals are combined with the physiological parameters of the measurer to confirm the candidate cardiac output, so that the finally determined candidate cardiac output can be more accurate.
In one embodiment, obtaining at least two sets of impedance signals of a subject comprises: acquiring at least one group of hand impedance signals of a measurer; and acquiring at least one group of foot impedance signals of the measurer. Alternatively, at least one set of hand impedance signals and at least one set of foot impedance signals acquired by the same measuring device in the same time period may be acquired, for example, the hand impedance signals (impedance signals between both hands) and the foot impedance signals (impedance signals between both feet) of the person being measured may be acquired simultaneously by the handheld eight-electrode lipid scale. Alternatively, at least one set of impedance signals respectively acquired by at least two measuring devices in the same time period may be acquired to obtain at least two sets of impedance signals in total. For example, impedance signals between two feet of at least one group of measuring persons are collected through the four-electrode lipid scale, and impedance signals between two hands of at least one group of measuring persons are collected through the wearing equipment.
In one embodiment, the measurement device comprises a first measurement device and a second measurement device; obtaining at least two groups of impedance signals respectively collected by at least two measuring devices, including: acquiring hand impedance signals of a measurer, which are acquired by first measuring equipment; and acquiring the foot impedance signal of the measurer acquired by the second measuring device.
The first measurement device may be a smart wearable device, such as a bracelet or a watch. The intelligent wearable device comprises at least two pairs of electrodes, namely at least one pair of excitation electrodes and at least one pair of measuring electrodes, wherein the excitation electrodes and the measuring electrodes are respectively arranged at least two parts of the hand of a measurer, excitation signals can be conducted to the at least two parts of the hand of the measurer through the excitation electrodes, and impedance signals between the at least two parts of the hand are measured through the at least two measuring electrodes in contact with the at least two parts.
The second measuring device can be an intelligent wearing device, such as an intelligent shoe, or other external devices, such as a human body scale. Taking the second measuring device as an example of the human body scale, the human body scale comprises at least two pairs of electrodes, namely at least one pair of excitation electrodes and at least one pair of measuring electrodes, when a measurer stands on the human body scale, the left foot and the right foot are respectively in contact with one excitation electrode and one measuring electrode at the same time, excitation signals are conducted to the left foot and the right foot through the two excitation electrodes, a loop is formed between the left foot and the right foot of the measurer, voltage signals between the left foot and the right foot are measured through the measuring electrodes in contact with the left foot and the right foot respectively, and then impedance signals between the two feet of the measurer are calculated.
In this embodiment, through gathering the hand impedance signal and the foot impedance signal of survey person and analyzing the heart discharge capacity, but not chest impedance, consequently need not gather the impedance signal of chest through wire or paster electrode, just can realize through common wearing equipment or human scale, the practicality is strong.
It should be understood that although the steps in the flowcharts of fig. 2, 3 and 5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2, 3, and 5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 7, there is provided a cardiac displacement measuring device 700 comprising: an impedance signal acquisition module 702, a feature extraction module 704, a candidate cardiac displacement determination module 706, and a target cardiac displacement determination module 708, wherein:
an impedance signal acquisition module 702 for acquiring at least two sets of impedance signals of a subject, wherein each set of the impedance signals comprises a plurality of impedance signals of a same body segment of the subject.
The feature extraction module 704 is configured to perform feature extraction on each group of impedance signals, so as to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals.
And a candidate cardiac output determining module 706, configured to determine, according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals, candidate cardiac outputs corresponding to each group of impedance signals, respectively.
A target cardiac displacement determination module 708 configured to determine a target cardiac displacement based on the at least two candidate cardiac displacements.
Above-mentioned measuring device of heart discharge capacity determines the heart discharge capacity through at least two sets of impedance signal, thereby has avoided only causing the problem that the error makes the measuring result unstable with a set of impedance signal easily, thereby promotes the accuracy and the stability of heart discharge capacity measuring result.
In one embodiment, the target displacement determination module 708 is further configured to determine a compensated displacement according to a difference between at least two candidate displacements and a preset compensation coefficient; based on the at least one candidate cardiac output and the compensated cardiac output, a target cardiac output is determined.
In one embodiment, at least two groups of impedance signals are obtained by measuring a measurer by a preset measuring device, and the measuring apparatus 700 for cardiac output further includes a compensation coefficient determining module for obtaining a reference cardiac output, which is determined by performing cardiac output measurement on a sample object by the reference device; acquiring at least two groups of sample heart discharge volumes, wherein the sample heart discharge volumes are determined by acquiring impedance signals of sample objects through measuring equipment; a compensation factor is determined based on the at least two sets of sample and reference heart displacements.
In one embodiment, the compensation coefficient determining module is further configured to compare at least two groups of sample displacement volumes with a reference displacement volume respectively to obtain at least two error distribution parameters; a compensation factor is determined based on the at least two error distribution parameters.
In one embodiment, the feature extraction module 704 is further configured to determine a first feature point, a second feature point, and a third feature point from each set of impedance signals; the first characteristic point, the second characteristic point and the third characteristic point are three adjacent extreme points in the impedance signal; determining a first measurement parameter and a second measurement parameter of the impedance signal based on the first feature point, the second feature point and the third feature point; the first measurement parameter represents a time difference between the first characteristic point and the third characteristic point, and the second measurement parameter represents a magnitude difference between the first characteristic point and the second characteristic point.
In one embodiment, the cardiac output measuring apparatus 700 further comprises a physiological parameter acquiring module for acquiring a physiological parameter of the measurer. Respectively determining candidate cardiac output corresponding to the impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals, wherein the method comprises the following steps: and respectively determining candidate cardiac output corresponding to the impedance signals according to the physiological parameters and the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals.
In one embodiment, the impedance signal acquisition module 702 is further configured to acquire at least one set of hand impedance signals of the user; and acquiring at least one group of foot impedance signals of the measurer.
For the specific definition of the measuring device of the heart displacement, reference may be made to the above definition of the measuring method of the heart displacement, which is not described in detail herein. The various modules in the above described heart rate measurement device may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of measuring cardiac output. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program implementing the steps of the above-described method of measuring cardiac output.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method of measuring heart displacement.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of measuring cardiac output, the method comprising:
obtaining at least two sets of impedance signals of a subject, wherein each set of the impedance signals comprises a plurality of impedance signals of a same body segment of the subject;
respectively extracting characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
determining candidate cardiac output volumes respectively corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals;
determining a target cardiac output based on each of the candidate cardiac outputs.
2. The method of claim 1, wherein the determining a target cardiac displacement based on each of the candidate cardiac displacements comprises:
determining a compensated cardiac output according to a difference value between at least two candidate cardiac outputs and a preset compensation coefficient;
determining a target cardiac output based on at least one of the candidate cardiac outputs and the compensated cardiac output.
3. The method of claim 2, wherein the at least two sets of impedance signals are measured by a predetermined measurement device on the measurer, the method further comprising:
obtaining a reference cardiac output, the reference cardiac output determined by cardiac output measurements of a sample object by a reference device;
acquiring at least two sets of sample heart rate volumes, the sample heart rate volumes being determined by the measurement device acquiring impedance signals of the sample object;
determining a compensation factor based on the at least two sets of sample cardiac displacements and the reference cardiac displacement.
4. The method of claim 3, wherein the determining a compensation factor based on the at least two sets of sample cardiac displacements and the reference cardiac displacement comprises:
comparing the at least two groups of sample heart discharge capacities with the reference heart discharge capacity respectively to obtain at least two error distribution parameters;
a compensation coefficient is determined based on the at least two error distribution parameters.
5. The method according to claim 1, wherein the performing feature extraction on each group of the impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of the impedance signals respectively comprises:
determining a first characteristic point, a second characteristic point and a third characteristic point from each group of the impedance signals; the first characteristic point, the second characteristic point and the third characteristic point are three adjacent extreme points in the impedance signal;
determining a first measurement parameter and a second measurement parameter of the impedance signal based on the first feature point, the second feature point, and the third feature point; the first measurement parameter represents a time difference between the first feature point and the third feature point, and the second measurement parameter represents a magnitude difference between the first feature point and the second feature point.
6. The method of claim 1, further comprising:
acquiring physiological parameters of a measurer;
the determining, according to the first measurement parameter and the second measurement parameter corresponding to each group of the impedance signals, the candidate cardiac output volume corresponding to the impedance signal respectively includes:
and respectively determining candidate cardiac output volumes corresponding to the impedance signals according to the physiological parameters and the first and second measurement parameters corresponding to each group of impedance signals.
7. The method of any one of claims 1 to 6, wherein said obtaining at least two sets of impedance signals of a subject comprises:
acquiring at least one set of hand impedance signals of the subject;
at least one set of foot impedance signals of the measurer is acquired.
8. A device for measuring heart displacement, the device comprising:
an impedance signal acquisition module for acquiring at least two sets of impedance signals of a subject, wherein each set of the impedance signals comprises a plurality of impedance signals of the same body segment of the subject;
the characteristic extraction module is used for respectively extracting characteristics of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
the candidate cardiac output determining module is used for determining the candidate cardiac output corresponding to each group of impedance signals according to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals;
a target cardiac displacement determination module to determine a target cardiac displacement based on the at least two candidate cardiac displacements.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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