CN111387939B - Method, device, computer equipment and storage medium for measuring heart displacement - Google Patents
Method, device, computer equipment and storage medium for measuring heart displacement Download PDFInfo
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- CN111387939B CN111387939B CN202010151144.2A CN202010151144A CN111387939B CN 111387939 B CN111387939 B CN 111387939B CN 202010151144 A CN202010151144 A CN 202010151144A CN 111387939 B CN111387939 B CN 111387939B
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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 heart displacement measuring method, a heart displacement measuring device, computer equipment and a storage medium. The method comprises the following steps: obtaining at least two sets of impedance signals of the measurer, wherein each set of impedance signals comprises a plurality of impedance signals of a same body segment of the measurer; respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, determining candidate heart displacement corresponding to each group of impedance signals respectively; a target heart rate is determined based on each candidate heart rate. The heart displacement measuring method, the heart displacement measuring device, the computer equipment and the storage medium can measure more accurate heart displacement.
Description
Technical Field
The present application relates to the field of medicine, and in particular, to a method and apparatus for measuring cardiac output, a computer device, and a storage medium.
Background
The heart displacement is an important parameter index reflecting the heart function of a patient, knows the pumping function of the heart, calculates related hemodynamic indexes, and guides clinical treatment, and has important value in monitoring the heart function of critical patients and heart patients. At present, the accurate heart displacement measuring method in the medical community generally uses expensive and complex equipment such as a Doppler ultrasonic instrument to measure, or auscultates heart sound signals through doctors and calculates heart displacement based on the heart sound signals, and the two methods have high requirements on medical equipment or personnel and cannot be realized in household equipment, so that patients cannot measure heart displacement from time to time.
At present, a mode of measuring chest impedance of a human body by using impedance measurement equipment and further calculating heart displacement according to the chest impedance is also proposed in the industry, but the mode has the problem of lower accuracy, and a measurement result is difficult to be used as a basis of medical treatment.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, computer device, and storage medium for measuring cardiac output that are easy to implement and have high accuracy.
A method of measuring cardiac displacement, the method comprising:
obtaining at least two sets of impedance signals of a measurer, wherein each set of the impedance signals comprises a plurality of impedance signals of a same body segment of the measurer;
respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, candidate heart displacement corresponding to each group of impedance signals is determined;
and determining a target heart displacement based on each candidate heart displacement.
In one embodiment, the determining the target heart rate based on each of the candidate heart rates includes:
Determining the compensation core displacement according to the difference value between at least two candidate core displacements and a preset compensation coefficient;
a target displacement is determined based on at least one of the candidate displacement and the compensating displacement.
In one embodiment, the at least two sets of impedance signals are measured by a preset measuring device, and the method further includes:
acquiring a reference heart displacement, wherein the reference heart displacement is determined by heart row measurement of a sample object through reference equipment;
acquiring at least two sets of sample core displacements, the sample core displacements being determined by the measurement device acquiring impedance signals of the sample object;
a compensation coefficient is determined based on the at least two sets of sample cardiac displacements and the reference cardiac displacement.
In one embodiment, the determining the compensation coefficient 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 core displacement with the reference core displacement respectively to obtain at least two error distribution parameters;
and determining a compensation coefficient based on the at least two error distribution parameters.
In one embodiment, the feature extraction is performed on each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals, where the feature extraction includes:
Determining a first feature point, a second feature point and a third feature point from each set 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 an amplitude 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 step of respectively determining candidate heart displacement corresponding to the impedance signals according to the first measurement parameters and the second measurement parameters corresponding to each group of the impedance signals comprises the following steps:
and respectively determining candidate heart displacement corresponding to the impedance signals according to the physiological parameters, the first measurement parameters and the 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 measurer;
At least one set of foot impedance signals of the measurer is acquired.
A heart displacement measurement device, the device comprising:
an impedance signal acquisition module for acquiring at least two sets of impedance signals of a measurer, wherein each set of impedance signals comprises a plurality of impedance signals of a same body segment of the measurer;
the characteristic extraction module is used for respectively carrying out characteristic 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 candidate heart displacement determining module is used for determining candidate heart displacements corresponding to each group of impedance signals respectively according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals;
and the target heart displacement determining module is used for determining the target heart displacement based on the at least two candidate heart displacements.
An electronic device comprising a memory storing a computer program and a processor implementing the steps of the above method when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
The above-described cardiac output measurement method, apparatus, computer device and storage medium acquire at least two sets of impedance signals of a measurer, wherein each set of impedance signals comprises a plurality of impedance signals of a same body segment of the measurer; respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, determining candidate heart displacement corresponding to each group of impedance signals respectively; determining a target heart displacement based on each candidate heart displacement; the heart displacement is determined through at least two groups of impedance signals, so that the problem that errors are easily caused by using only one group of impedance signals, and therefore, the measurement result is unstable is avoided, and the accuracy and stability of the heart displacement measurement result are improved.
Drawings
FIG. 1 is an application environment diagram of a method of measuring center displacement of an embodiment;
FIG. 2 is a flow chart of a method of measuring center displacement according to one embodiment;
FIG. 3 is a flow chart illustrating the steps for determining compensation coefficients in one embodiment;
FIG. 4 is a flow chart of another embodiment of a method for measuring center displacement;
FIG. 5 is a flow chart illustrating steps for determining a first measurement parameter and a second measurement parameter in one embodiment;
FIG. 6 is a schematic diagram of determining a first measurement parameter and a second measurement parameter in one embodiment;
FIG. 7 is a block diagram of a measurement device of center displacement according to one embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The heart displacement measuring method provided by the embodiment of the application can be applied to an application environment shown in figure 1. 102 is the measurer and 104 and 106 are both measuring devices. Acquiring two sets of impedance signals acquired by the measurement devices 104 and 106, wherein each measurement device performs a plurality of measurements on a body segment of the measurer 102 to obtain a set of impedance signals; respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, determining candidate heart displacement corresponding to each group of impedance signals respectively; a target heart rate is determined based on each candidate heart rate. Wherein the measurement devices 104 and 106 may be, but are not limited to, various smart terminals, wearable devices, or electronic scales. For example, the measurement device 104 is a smart wearable device such as a wristband or a wristwatch, and the measurement device 106 is an electronic scale. In other application environments, two sets of impedance signals can be acquired by one measuring device, for example, an eight-electrode body fat scale with a handle can acquire at least one set of impedance signals between two hands and at least one set of impedance signals between two feet simultaneously.
In one embodiment, as shown in FIG. 2, a method of measuring cardiac output is provided, which may be applied to a measuring device, as well as to a processing device coupled to the measuring device. The method comprises the following steps:
step 202, at least two sets of impedance signals of a measurer are acquired, wherein each set of impedance signals comprises a plurality of impedance signals of a same body segment of the measurer.
The at least two sets of impedance signals may be obtained by impedance measurement of at least two body segments of the measurer by the same measuring device, or may be obtained by impedance measurement of different body segments of the measurer by a plurality of devices, respectively.
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 the measurer, excitation signals can be conducted to at least two parts of the measurer through the excitation electrodes, and impedance signals of a body segment between the at least two parts are measured through the at least two measuring electrodes which are contacted with the parts.
Taking one measuring device as a four-electrode body scale as an example, when a measurer stands on the body scale, the left foot and the right foot respectively contact an excitation electrode and a measuring electrode, 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 obtained through measurement through the measuring electrodes respectively contacted 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 measurer may be measured by other measuring devices, such that the impedance signals of at least two segments of the measurer are acquired multiple times over a period of time by 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 heart displacement measuring method is applied to measuring equipment, the measuring equipment can conduct impedance detection on one body segment of a measurer to obtain one group of impedance signals, and at least one group of impedance signals sent by at least one other measuring equipment are received, so that at least two groups of impedance signals are obtained. Alternatively, the measuring device may perform impedance measurements on at least two body segments of the measurer, respectively, resulting in at least two sets of impedance signals.
When the above-described method of measuring cardiac output is applied to a non-measuring device, such as a processing device, the processing device may receive impedance signals transmitted by at least two measuring devices, respectively, 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 measuring device.
And 204, respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals.
In particular, each set of impedance signals comprises impedance signals of the same body segment at different points in time within a certain period of time, and thus may constitute a waveform of the impedance signal varying with time, called an impedance pulse wave. Characteristic points are extracted from the impedance pulse waves, and first measurement parameters and second measurement parameters corresponding to each group of impedance signals are determined based on the characteristic parameters of the characteristic points. The characteristic parameters of the characteristic points may include the time of the characteristic points, the amplitude of the characteristic points, and the like. Accordingly, the first and second measured parameters may be used to characterize the change in the impedance signal over a particular time, the systole time interval, the Left Ventricular Ejection Time (LVET), etc., respectively.
Step 206, determining candidate heart displacement 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 heart displacement is an important parameter index reflecting the heart function of a measurer, knows the pumping function of the heart, calculates related hemodynamic indexes, and has important value in guiding clinical treatment, especially in monitoring the heart function of critical patients and heart patients.
Since the impedance signal varies with the respiration or the heart beat of the subject, the heart displacement of the subject can be reversely determined according to the variation of the impedance signal. From each set of impedance signals, one or more alternative displacement hearts may be obtained. When the candidate core displacement is only 1, the candidate core displacement is the candidate core displacement corresponding to the impedance signal. When there are a plurality of candidate displacement volumes, candidate displacement volumes may be selected from the plurality of candidate displacement volumes.
It can be understood that the heart displacement waveform of the same measurer in the same time period can be kept stable, and the variation amplitude of the heart displacement waveform can not be too large, so that each candidate heart displacement can be screened through a parameter for measuring the variation degree of the heart displacement, and further more accurate candidate heart displacement can be obtained. Parameters that measure the degree of heart displacement variation such as the variance of the candidate heart displacement vertex amplitude, similarity of morphology, etc.
At step 208, a target displacement is determined based on each candidate displacement.
One candidate heart displacement may be determined based on a set of impedance signals, and at least two candidate heart displacements may be determined based on at least two sets of impedance signals.
In one embodiment, at least two candidate heart displacements may be averaged first, with the average being taken as the target heart displacement.
In another embodiment, the candidate heart rate with the largest value among the respective candidate heart rates may be determined as the target heart rate. In other embodiments, the candidate displacement with the smallest value in each candidate displacement may be determined as the target displacement, or the candidate displacement with the next smallest value in each candidate displacement may be determined as the target displacement, without being limited thereto.
According to the heart displacement measuring method, at least two groups of impedance signals acquired by at least two measuring devices are acquired, wherein each measuring device acquires one group of impedance signals of a measurer; respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals; according to the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, determining candidate heart displacement corresponding to each group of impedance signals respectively; determining a target heart displacement based on each candidate heart displacement; the heart displacement is determined through at least two groups of impedance signals, so that the problem that errors are easily caused by using only one group of impedance signals, and therefore, the measurement result is unstable is avoided, and the accuracy and stability of the heart displacement measurement result are improved.
According to the heart displacement measuring method, the target heart displacement can be calculated through the impedance signal only by measuring the impedance signal through the measuring equipment, and the method is convenient to realize. The measuring equipment such as a body scale, an intelligent bracelet, an intelligent watch, an intelligent closestool and the like can be used for measuring in various places.
In one embodiment, after at least two groups of impedance signals of a measurer are acquired, preprocessing each group of impedance signals to obtain preprocessed impedance signals; and respectively extracting features 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 may be filtering the impedance signal to filter out various noises in the impedance signal, thereby obtaining a more accurate impedance signal. The impedance signal after preprocessing is an ICG (Impedance Cardiography, noninvasive cardiac displacement) signal. During filtering, myoelectric interference is removed first, and then the impedance signal is subjected to differential inversion. Since the spectrum of noise and the spectrum of the effective signal overlap, the impedance signal may be filtered using an adaptive IIR (Infinite Impulse Response, infinite impulse response digital filter) filter such as a time domain, or the noise may be removed using a wavelet transform or the like.
In one embodiment, to improve accuracy of the target heart rate, the determining the target heart rate based on the candidate heart rates includes: determining the compensation core displacement according to the difference value between at least two candidate core displacements and a preset compensation coefficient; a target displacement is determined based on the at least one candidate displacement and the compensated displacement.
And when the number of the candidate heart displacements is 2, performing difference operation on the two candidate heart displacements to obtain a difference value, and then performing calculation on the difference value and a preset compensation coefficient to obtain the compensation heart displacement. Further, 1/2 of the preset compensation coefficient can be multiplied by the difference value to obtain the compensation core displacement; the preset compensation coefficient can be added with the difference value to obtain the compensation core displacement; the compensation heart displacement can also be obtained by multiplying the preset compensation coefficient by the difference value.
When the number of the candidate heart displacements is larger than 2, the candidate heart displacements can be subjected to two-to-two difference value operation respectively to obtain at least two difference values, and then the compensation heart displacement is determined according to the compensation coefficient and the at least two difference values. Optionally, an average value of at least two differences can be obtained, and then the compensation coefficient is multiplied to obtain the compensation core displacement; the maximum difference value can be selected from at least two difference values, and the compensation coefficient is multiplied by the maximum difference value to obtain the compensation core displacement; the minimum difference value can also be selected from at least two difference values, and the compensation coefficient is multiplied by the minimum difference value to obtain the compensation core displacement. The specific method for determining the compensation displacement may be set according to the needs of the user, and is not limited thereto.
Optionally, a candidate heart displacement may be randomly selected from the at least one candidate heart displacement, and a target heart displacement is determined based on the selected candidate heart displacement and the compensated heart displacement; the candidate heart displacement corresponding to the appointed body segment can be selected from at least one candidate heart displacement, and the target heart displacement is determined based on the selected candidate heart displacement and the compensation heart displacement; the maximum or minimum candidate displacement may also be selected from the at least one candidate displacement, and the target displacement may be determined based on the selected candidate displacement and the compensated displacement, without being limited thereto.
In this embodiment, according to a difference between at least two candidate heart displacements and a preset compensation coefficient, the compensation heart displacement may be determined, which is used to compensate the candidate heart displacement, and the candidate heart displacement corresponding to each group of impedance signals may be further corrected, so as to obtain a more accurate candidate heart displacement, so that based on at least one candidate heart displacement and the compensation heart displacement, a more accurate target heart displacement may be determined.
In one embodiment, to determine a reasonable compensation coefficient to ensure accuracy of compensating the heart displacement, as shown in fig. 3, the method further includes:
Step 302, a reference heart displacement is obtained, the reference heart displacement being determined by heart rate measurements of a sample object by a reference device.
The reference device is a device for performing cardiac output measurement on a sample object, such as CNAP (Continuous Non-invasive Arterial Pressure, continuous Non-invasive blood pressure monitoring system) and can measure more accurate cardiac output. The heart row measurement can be carried out on the sample object through the reference equipment, and the reference heart displacement is obtained. The reference heart displacement may be used as a standard value for comparison with the sample heart displacement to determine a more reasonable compensation factor.
Step 304, obtaining at least two sets of sample core displacements, the sample core displacements being determined by measuring impedance signals of a device collecting the sample object.
Specifically, at least two groups of impedance signals of a sample object are acquired through the measuring equipment; 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 determining the sample core displacement 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, thereby obtaining at least two groups of sample core displacement.
The method comprises the steps of respectively carrying out feature extraction on 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 feature point, a fifth feature point and a sixth feature 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 feature point and the third feature point, and the second measurement parameter represents an amplitude difference between the first feature point and the second feature point.
And sequentially determining any adjacent three extreme points as a fourth characteristic point, a fifth characteristic point and a sixth characteristic point according to the time sequence of the acquired impedance signals from the early to the late. And acquiring a third moment corresponding to the fourth characteristic point and a fourth moment corresponding to the sixth characteristic point, and determining a difference value between the third moment and the fourth moment as a third measurement parameter. And acquiring a third amplitude value corresponding to the fourth characteristic point and a fourth amplitude value of the fifth characteristic point, and determining a difference value between the third amplitude value and the fourth amplitude value as a fourth measurement parameter.
Step 306, determining a compensation coefficient based on at least two sets of sample cardiac displacement and reference cardiac displacement.
And comparing the at least two groups of sample core displacement with the reference core displacement respectively, and determining a compensation coefficient according to the comparison result. For example, the compensation coefficient is determined based on a difference between the sample and reference displacement, taking the reference displacement as a criterion.
In the embodiment, a reference heart displacement is obtained, and the reference heart displacement is determined by heart rate measurement of a sample object through reference equipment; acquiring at least two groups of sample core displacement, wherein the sample core displacement is determined by acquiring impedance signals of a sample object through measuring equipment; a more accurate compensation coefficient may be determined based on at least two sets of sample and reference heart displacements.
In one embodiment, after the compensation coefficient is determined, the compensation core displacement may be determined according to a difference between at least two candidate core displacements and a preset compensation coefficient; optionally, the step of determining the target displacement based on the at least one candidate displacement and the compensated displacement may comprise: superposing the compensation core displacement and any candidate core displacement to determine a target core displacement; or, superposing the compensation heart displacement and the average value of the candidate heart displacement to determine the target heart displacement.
In one embodiment, a large number of sample objects may be selected, and steps 302-306 are performed respectively to obtain statistics of differences between the sample core displacement and the reference core displacement of the large number of sample objects, and a compensation coefficient is determined according to the statistics of the differences, 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, for example, compensation parameters corresponding to categories of different ages, different sexes, and the like, can be determined.
In one embodiment, determining the compensation coefficient based on at least two sets of sample and reference heart displacements includes: comparing the at least two groups of sample core displacement with the reference core displacement respectively to obtain at least two error distribution parameters; a compensation coefficient is determined based on at least two error distribution parameters.
It will be appreciated that the reference displacement measured by the reference device is a relatively accurate value that can be used as a reference standard, and that each set of sample displacement can be compared with the reference displacement, respectively, to obtain at least two error distribution parameters.
Assuming that each set of error distribution parameters obeys a Gaussian distribution N (u, ε) 2 ). Where u represents the mean value, ε of the error distribution parameters 2 Representing the variance of the error distribution parameter. The mean u and variance epsilon of each group of error distribution parameters can be determined according to the maximum likelihood estimation method 2 . 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 discretization of a set of data. The compensation coefficient can be more accurately determined 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 measuring device to determine two corresponding sets of sample core displacements, the error distribution parameters corresponding to each set of sample core displacements obey a gaussian distribution, i.e., the error distribution parameters corresponding to the first set of sample core displacements obey a gaussian distribution N (u 1, epsilon 1) 2 ). Wherein u1 represents the mean value of error distribution parameters corresponding to the first group of sample heart displacement, epsilon 1 2 Representing the variance of the error distribution parameter corresponding to the first set of sample core displacements. Likewise, the error distribution parameters corresponding to the second set of sample cardiac displacements also obey a Gaussian distribution N (u 2, ε 2) 2 ). Where u2 represents the mean value of the error distribution parameters corresponding to the heart displacement of the second set of samples, ε 2 2 Representing the variance of the error distribution parameter corresponding to the second set of sample core displacements.
It will be appreciated that each set of error distribution parameters follows a gaussian distribution and that each set of error distribution parameters is independent of each other, so that the compensation coefficient determined based on the two sets of error distribution parameters is also gaussian-distributed, from which a more accurate target displacement is obtainable.
In one embodiment, steps 402-408 and steps 410-416 are performed, respectively, as shown in FIG. 4. Step 402, acquiring an impedance signal B11 acquired by a measuring device A1; in step 410, an impedance signal B21 acquired by the measuring device A2 is acquired. Step 404 is performed on the obtained impedance signal B11, i.e. the impedance signal B11 is preprocessed, resulting in a more accurate impedance signal B12 with noise interference removed. Step 412 is performed on the obtained impedance signal B21, i.e. the impedance signal B21 is preprocessed, resulting in a more accurate impedance signal B22 with noise interference removed.
Step 406 is performed on the pre-processed impedance signal B12, i.e. the feature extraction is performed on the pre-processed impedance signal B12, so as to obtain a first measurement parameter and a second measurement parameter corresponding to the pre-processed impedance signal B12. Step 414 is performed on the preprocessed impedance signal B22, i.e. the 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.
Step 408 is executed to determine the candidate cardiac output 1 corresponding to the impedance signal B12 after preprocessing according to the first measurement parameter and the second measurement parameter corresponding to the impedance signal B12 after preprocessing. Step 416 is executed to determine the candidate cardiac output 2 corresponding to the pre-processed impedance signal B22 according to the first measurement parameter and the second measurement parameter corresponding to the pre-processed impedance signal B22. Step 418 is performed to calculate the error distribution parameters and determine the compensation coefficients. Based on candidate displacement 1 and candidate displacement 2 and the compensation coefficient, step 420 is performed to determine the target displacement.
Wherein, statistics error distribution parameter, confirm compensation coefficient includes: acquiring a reference heart displacement, wherein the reference heart displacement is determined by heart row measurement of a sample object through reference equipment; acquiring at least two groups of sample core displacement, wherein the sample core displacement is determined by acquiring impedance signals of a sample object through measuring equipment; comparing the at least two groups of sample core displacement with the reference core displacement respectively to obtain at least two error distribution parameters; a compensation coefficient is determined based on at least two error distribution parameters.
In one embodiment, as shown in fig. 5, feature extraction is performed on each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals, which includes:
Step 502, determining a first characteristic point, a second characteristic point and a third characteristic point from each group of impedance signals; the first feature point, the second feature point and the third feature point are three adjacent extreme points in the impedance signal.
Specifically, based on an 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. Wherein the extreme points include maximum points and minimum points. 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; alternatively, the first feature point and the third feature point are minimum value points, and the second feature point is a maximum value point.
Step 504, 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 an amplitude difference between the first feature point and the second feature point.
And sequentially determining any adjacent three extreme points as a first characteristic point, a second characteristic point and a third characteristic point according to the time sequence of the acquired impedance signals from the early to the late. 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 value of the first characteristic point and a second amplitude value of the second characteristic point, and determining a difference value between the first amplitude value and the second amplitude value as a second measurement parameter.
For example, as shown in FIG. 6, B 0 C as the first feature point 0 As the second characteristic point, X 0 dZamp_B as the third feature point 0 dZamp_C is the first amplitude of the first feature point 0 For the second amplitude of the second feature point, determining the difference between the first amplitude and the second amplitude as a second measurement parameterA number; LVET (Linear voltage potential et) 0 Is the difference between the time of the first feature point and the time of the third feature point, i.e. the first measured parameter.
In one embodiment, the method further comprises: physiological parameters of the measurers are acquired. According to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals, respectively determining candidate heart displacement corresponding to the impedance signals, including: and respectively determining candidate heart displacement corresponding to each group of impedance signals according to the physiological parameter, the first measurement parameter and the second measurement parameter 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 cardiac output is related to physiological parameters of the measurer, in addition to the health of the heart. For example, a measurer with a higher height will have a greater cardiac output; the heavier the weight of the measurer, the greater the cardiac output.
Combining the first and second measured parameters corresponding to each set of impedance signals with the physiological parameters of the measurer to confirm the candidate heart displacement can make the final determined candidate heart displacement more accurate.
In one embodiment, acquiring at least two sets of impedance signals of a measurer includes: acquiring at least one set of hand impedance signals of a measurer; and acquiring at least one set 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 during the same time period may be acquired, for example, by an eight-electrode body fat scale with a handle, the hand impedance signal (impedance signal between two hands) and the foot impedance signal (impedance signal between two feet) of the measurer may be acquired simultaneously. Alternatively, at least one set of impedance signals acquired by at least two measuring devices, respectively, during the same time period may be acquired to obtain a total of at least two sets of impedance signals. For example, impedance signals between the feet of at least one group of testers are acquired through the four-electrode body fat scale, and simultaneously, impedance signals between the hands of at least one group of testers are acquired through the wearing equipment.
In one embodiment, the measurement device comprises a first measurement device and a second measurement device; acquiring at least two sets of impedance signals acquired by at least two measuring devices respectively, including: acquiring a hand impedance signal of a measurer acquired by first measuring equipment; acquiring foot impedance signals of the measurer acquired by the second measuring equipment.
The first measurement device may be a smart wearable device, such as a wristband or a watch. The intelligent wearing equipment comprises at least two pairs of electrodes, namely at least one pair of excitation electrodes and at least one pair of measurement electrodes, wherein at least two parts of the hand of the measurer are respectively provided with one excitation electrode and one measurement electrode, excitation signals can be conducted to at least two parts of the hand of the measurer through the excitation electrodes, and impedance signals between at least two parts of the hand are obtained through measurement of the at least two measurement electrodes which are in contact with the above parts.
The second measuring device may be a smart wearable device, such as a smart shoe, or may be other external devices, such as a body scale, etc. Taking a second measuring device as an example of a 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 respectively 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 respectively contacted with the left foot and the right foot, and then impedance signals between the two feet of the measurer are calculated.
In this embodiment, the heart displacement is analyzed by collecting the hand impedance signal and the foot impedance signal of the measurer, instead of the chest impedance, so that the chest impedance signal is not required to be collected through a wire or a patch electrode, and the measurement can be realized through common wearing equipment or a body scale, and the practicability 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, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2, 3, and 5 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in FIG. 7, there is provided a cardiac output measurement apparatus 700 comprising: an impedance signal acquisition module 702, a feature extraction module 704, a candidate heart displacement determination module 706, and a target heart displacement determination module 708, wherein:
An impedance signal acquisition module 702 for acquiring at least two sets of impedance signals of a measurer, wherein each set of the impedance signals comprises a plurality of impedance signals of a same body segment of the measurer.
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.
The candidate heart displacement determining module 706 is configured to determine candidate heart displacements 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 displacement determination module 708 for determining a target displacement based on the at least two candidate displacements.
According to the heart displacement measuring device, the heart displacement is determined through at least two groups of impedance signals, so that the problem that an error is easily caused by using only one group of impedance signals, and therefore the measuring result is unstable is solved, and the accuracy and the stability of the heart displacement measuring result are improved.
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; a target displacement is determined based on the at least one candidate displacement and the compensated displacement.
In one embodiment, at least two groups of impedance signals are obtained by measuring a measurer by a preset measuring device, and the heart displacement measuring device 700 further comprises a compensation coefficient determining module, for obtaining a reference heart displacement, where the reference heart displacement is determined by performing heart displacement measurement on a sample object by the reference device; acquiring at least two groups of sample core displacement, wherein the sample core displacement is determined by acquiring impedance signals of a sample object through measuring equipment; a compensation coefficient is determined based on 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 sets of sample core displacements with reference core displacements, respectively, to obtain at least two error distribution parameters; a compensation coefficient is determined based on 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 feature point and the third feature point, and the second measurement parameter represents an amplitude difference between the first feature point and the second feature point.
In one embodiment, the cardiac output measurement device 700 further includes a physiological parameter acquisition module for acquiring a physiological parameter of the measurer. According to the first measurement parameter and the second measurement parameter corresponding to each group of impedance signals, respectively determining candidate heart displacement corresponding to the impedance signals, including: and respectively determining candidate heart displacement corresponding to the impedance signals according to the physiological parameters, 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 measurer; and acquiring at least one set of foot impedance signals of the measurer.
For specific limitations on the measuring device of the heart displacement, reference may be made to the above limitations on the measuring method of the heart displacement, and no further description is given here. The various modules in the heart displacement measuring device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof 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 includes a non-volatile 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 the operating system and computer programs in the non-volatile storage media. 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 the 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, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 8 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor performing the steps of the method of measuring heart displacement described above when the computer program is executed.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of the method of measuring heart displacement described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (6)
1. A method of measuring cardiac output, the method comprising:
acquiring 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 within a period of time, and the at least two groups of impedance signals are obtained by measuring the measurer by preset measuring equipment;
Respectively extracting features of each group of impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each group of impedance signals;
according to the physiological parameters of the measurer, the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals, candidate heart displacement corresponding to each group of impedance signals is determined; the physiological parameters include at least one of height, weight, blood pressure, and obesity rate;
determining the compensation core displacement according to the difference value between at least two candidate core displacements and a preset compensation coefficient; the compensation coefficient is determined based on the variance of at least two error distribution parameters, the at least two error distribution parameters are obtained by comparing a reference heart displacement and at least two groups of sample heart displacement, the sample heart displacement is determined by collecting impedance signals of a sample object through the measuring equipment, and the reference heart displacement is determined by conducting heart row measurement on the sample object through the reference equipment; the error distribution parameters corresponding to the core displacement of each group of samples obey Gaussian distribution;
a target displacement is determined based on at least one of the candidate displacement and the compensating displacement.
2. The method according to claim 1, wherein the performing feature extraction on each set of the impedance signals to obtain a first measurement parameter and a second measurement parameter corresponding to each set of the impedance signals includes:
determining a first feature point, a second feature point and a third feature point from each set 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 an amplitude difference between the first feature point and the second feature point.
3. The method according to any one of claims 1 to 2, wherein said obtaining at least two sets of impedance signals of the measurer comprises:
acquiring at least one set of hand impedance signals of the measurer;
at least one set of foot impedance signals of the measurer is acquired.
4. A heart displacement measurement device, the device comprising:
The impedance signal acquisition module is used for acquiring 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 within a period of time, and the at least two groups of impedance signals are obtained by measuring the measurer by preset measuring equipment;
the characteristic extraction module is used for respectively carrying out characteristic 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 candidate heart displacement determining module is used for determining candidate heart displacements corresponding to each group of impedance signals respectively according to the physiological parameters of the measurer, the first measurement parameters and the second measurement parameters corresponding to each group of impedance signals; the physiological parameters include at least one of height, weight, blood pressure, and obesity rate;
the target heart displacement determining module is used for determining the compensation heart displacement according to the difference value between at least two candidate heart displacements and a preset compensation coefficient;
the compensation coefficient determining module is used for comparing the reference heart displacement with at least two groups of sample heart displacement to obtain at least two error distribution parameters; determining a compensation coefficient based on variances of at least two error distribution parameters, wherein the sample heart displacement is determined by collecting impedance signals of a sample object through the measuring equipment, and the reference heart displacement is determined by performing heart row measurement on the sample object through the reference equipment; the error distribution parameters corresponding to the core displacement of each group of samples obey Gaussian distribution;
The target displacement determination module is further configured to determine a target displacement based on at least one of the candidate displacement and the compensating displacement.
5. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 3 when the computer program is executed.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.
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