CN111265240A - Fetal heart monitor and fetal heart measuring method - Google Patents
Fetal heart monitor and fetal heart measuring method Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/02—Stethoscopes
- A61B7/04—Electric stethoscopes
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0011—Foetal or obstetric data
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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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02411—Detecting, measuring or recording pulse rate or heart rate of foetuses
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
- A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
- A61B5/7214—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using signal cancellation, e.g. based on input of two identical physiological sensors spaced apart, or based on two signals derived from the same sensor, for different optical wavelengths
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/02—Foetus
Abstract
The invention provides a fetal heart monitor and a fetal heart measuring method, comprising the following steps: a wearable device; hardware platform: the wearable device is arranged on the wearable device, comprises a multi-dimensional channel sensor and is used for acquiring fetal heart data signals; the application system comprises the following steps: the fetal heart data acquisition module is in communication connection with the hardware platform, acquires the fetal heart data signal, transmits the fetal heart data signal to a cloud computing platform, and controls the hardware platform to work; a cloud computing platform: and extracting fetal heart sound and fetal heart rate from the fetal heart data signals, positioning the fetal heart according to the fetal heart sound, and returning a positioning result to the application system. The invention replaces a Doppler ultrasonic probe with the sound vibration sensor, improves the accuracy of fetal heart monitoring, and greatly reduces the medical cost while improving the accuracy; the fetal heart positioning and data storage are carried out through the cloud, and the remote monitoring of medical staff is also facilitated; the cloud can be used for realizing long-time data acquisition and real-time detection and realizing abnormal real-time report.
Description
Technical Field
The invention relates to the field of fetal heart measurement, in particular to a fetal heart monitor and a fetal heart measurement method.
Background
Fetal heart sounds differ from adult heart sounds in three ways:
fetal heart rate is higher than adult heart rate: adult heart rates range from 60 to 100BPM [9], whereas fetal heart rates range from 100 to 160 BPM. Thus, the design will need to provide higher resolution in the time domain.
Fetal heart sounds contain more noise: since the heart of the fetus is deeply buried in the abdomen of the pregnant woman, the heart sound of the fetus is much attenuated than that of the adult. Furthermore, the fetal heart is less powerful than the adult heart, making the fetal heart less audible. Worse still, the blood circulation and organ activity of the fetus can cause noise to the heart sounds of the fetus. Thus, noise cancellation is a challenge for fetal heart monitoring systems.
The fetal heart sound source is not fixed: the position of the fetal heart changes as the fetus grows. For a healthy fetus, the fetal heart may be located in multiple possible locations during the same stage of pregnancy. However, the abnormal fetus may experience a sudden position change. Therefore, the designed fetal heart monitoring system not only needs to consider extracting fetal heart sounds, but also needs to consider whether the direction and the position can be effectively judged according to different positions of the fetus.
The basic principle of the traditional fetal heart monitoring mode based on an ultrasonic transmitter is to transmit signals to the abdomen of a pregnant woman, and the ultrasonic signals penetrate through different parts of human tissues to generate reflection. The ultrasonic signal is also reflected when it meets the fetal heart of the fetus, and the reflection will produce Doppler frequency shift because of the motion characteristic of the target. By observing how fast the frequency shift changes, it can be used to analyze fetal heart data.
This type of fetal heart monitoring based on ultrasound transmission is in use today. The main problems with this approach are:
1) actively transmitting signals to the abdomen of the pregnant woman. There is a potential risk. The obstetrics and gynecology of all countries do not recommend a fetal heart monitoring mode based on ultrasonic emission for a long time and for multiple times.
2) High frequency ultrasound signals require a couplant to facilitate energy penetration through the abdomen to the fetus. Typically, fetal heart monitoring uses ultrasound in the frequency range of 500kHz to 2 MHz. Such ultrasound signals decay very rapidly. Good coupling medium transmission is required. In fetal heart monitoring, the couplant is smeared on the abdomen of a pregnant woman to achieve the purpose of transmitting ultrasonic signals. This is very inconvenient to use. Nor can it be worn. The couplant can be applied to the wide-clothing and loose-clothing zones only at each time of use.
3) The monitoring instrument based on ultrasonic emission can accurately detect signals only by using the probe to be opposite to the fetal heart. Otherwise, the fetal heart reflected signal cannot be received. And when the measurement is serious, the measurement cannot be carried out, or the measurement is inaccurate. Only an experienced physician can quickly find the fetal heart position and measure with the probe. Limited possibility of self-use by the pregnant woman.
As the obstetrical ultrasonic doppler fetal heart detector disclosed in patent document CN 208404632U, the fetal heart detector in the prior art is based on doppler ultrasonic technology. Although it is desirable to realize a fetal heart monitor with high quality, high sensitivity, low power consumption, low cost, no harm to human body, and simple operation, the problem of actual products is to detect sound by means of ultrasonic transmission and reception to help users to find fetal heartbeats. However, when the heart beat of the fetus is weak or the external environment is too noisy, the heart beat of the fetus is more difficult to find, so that the user cannot quickly and accurately find the heart position of the fetus, and cannot hear the fetal sound.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a fetal heart monitor and a fetal heart measuring method.
According to the present invention, there is provided a fetal heart monitor comprising:
a wearable device;
hardware platform: the wearable device is arranged on the wearable device, comprises a multi-dimensional channel sensor and is used for acquiring fetal heart data signals;
the application system comprises the following steps: the fetal heart data acquisition module is in communication connection with the hardware platform, acquires the fetal heart data signal, transmits the fetal heart data signal to a cloud computing platform, and controls the hardware platform to work;
a cloud computing platform: extracting fetal heart sound and fetal heart rate from the fetal heart data signals, positioning the fetal heart according to the fetal heart sound, and returning a positioning result to the application system; wherein the content of the first and second substances,
the multi-dimensional channel sensor comprises a plurality of sensors, each sensor comprises a plurality of sound-sensitive unit groups, and the plurality of sound-sensitive unit groups adopt differential measurement to form a single acquisition channel; each sound sensitive unit group comprises a plurality of sound sensitive units;
the application system acquires fetal heart signal data of multiple dimensions from the multi-dimensional channel sensor and projects the fetal heart signal data to a one-dimensional, two-dimensional or three-dimensional space.
Preferably, the sensor is a layered structure comprising: an acoustic coupling structural layer, a sensor structural layer, and an acoustic damping structural layer;
the sensor structural layer is disposed between the acoustic coupling structural layer and the acoustic damping structural layer.
Preferably, the sensor structure layer includes: the sound insulation material is filled between the sound-sensitive units.
Preferably, the plurality of sensors are arranged in a spatially complex manner, and when post-processing is performed on the acquired signals, the plurality of sensors are grouped in a self-organizing manner and are used for measurement and noise reduction respectively.
Preferably, the differential measurement comprises:
the signal collected by a single collecting channel is the difference value of different sound sensitive unit groups.
Preferably, the plurality of dimensions comprises:
fetal heart signal data acquired by single acquisition channel
x is the acquired time domain signal, the superscript i is the number of a single acquisition channel, and the subscript t is the time series number;
multiple fetal heart signal data collected by sensors at different positions in a multi-dimensional channel sensor
N is the total number of acquisition channels of the multi-dimensional channel sensor;
the moment of collecting fetal heart signal data;
frequency domain information of fetal heart signal data;
characteristic information of fetal heart signal data.
Preferably, the signal matrix a (t) acquired by the multidimensional channel sensor is:
numerical matrix A:
A＝XX′
x is the collected signal, and X is the collected signal,
superscript' is a conjugate transposed symbol;
analyzing the feature vector of the numerical matrix A:
AU＝UV
wherein the feature vector
Is a characteristic value
V is a feature value diagonal matrix;
dividing the characteristic vector into a fetal heart signal characteristic vector T, a pregnant woman heartbeat signal characteristic vector P and a noise signal characteristic vector E,
setting spatial steering matrixes a and b, and constructing an energy ordinary function P (epsilon, theta):
K1、K2a weighting coefficient between 0 and 1; the superscript' is a conjugate transpose symbol, and the epsilon and theta combination which enables P (epsilon and theta) to take the peak value is taken;
extracting fetal heart signals: b '(θ) a' (ε) Aa (ε) b (θ).
Preferably, the application system transmits the fetal heart data signal to an adjacent computing module for processing, and then transmits the fetal heart data signal to the cloud computing platform, so that the computing pressure of the cloud computing platform is reduced.
Preferably, the application system comprises:
a communication module: acquiring the fetal heart data signal from the hardware platform, transmitting the fetal heart data compressed by the control module to the cloud computing platform, and acquiring the positioning result from the cloud computing platform;
a control module: compressing the acquired fetal heart data signals;
a display module: and displaying the fetal heart rate and the positioning result.
The fetal heart measuring method is characterized in that the fetal heart monitor is adopted to measure the fetal heart.
Compared with the prior art, the invention has the following beneficial effects:
1) the invention replaces a Doppler ultrasonic probe with the sound vibration sensor, improves the accuracy of fetal heart monitoring, and greatly reduces the medical cost while improving the accuracy;
2) the fetal heart positioning and data storage are carried out through the cloud, and the remote monitoring of medical staff is also facilitated;
3) the wearable structure and the cloud end can achieve long-time data acquisition and real-time detection, and achieve abnormal real-time reporting.
4) The invention effectively inhibits interference noise, so that the movement in daily life does not influence the data of fetal heart monitoring, and the recumbent measurement is not needed.
5) The invention can still accurately measure signals under the condition that the fetal position of the fetus moves, and is convenient for pregnant women or family members to use.
6) The tailorable and self-organizing characteristics of the composite sensor matrix can be widely applied to people with different body states.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a block diagram of a hardware platform according to the present invention;
FIG. 3 is a schematic diagram of a single acquisition channel;
FIG. 4 is a schematic diagram of the structure of four acoustic sensing unit groups of a single acquisition channel;
FIG. 5 is a cross-sectional view of the sensor;
FIG. 6 is a schematic diagram of a sensor structure layer;
FIG. 7 is a schematic structural diagram of a fetal heart detection garment;
FIG. 8 is a schematic view of the spatial distribution of sensors;
FIG. 9 is a schematic view of the spatial distribution of sensors;
FIG. 10 is a schematic diagram of the operation of the present invention;
fig. 11 is a flow chart of the operation of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, the fetal heart monitor provided by the present invention comprises: wearable equipment, hardware platform, application system and cloud computing platform four parts.
The hardware platform includes an acoustic vibration sensor for acquiring fetal heart data signals. The application system is in communication connection with the hardware platform, comprises Bluetooth connection or data line connection, acquires fetal heart data signals, transmits the fetal heart data signals to the cloud computing platform, and controls the hardware platform to work. The cloud computing platform extracts fetal heart sounds and fetal heart rates of the fetal heart data signals, conducts fetal heart positioning according to the fetal heart sounds, and returns positioning results to the application system.
As shown in fig. 2, the hardware platform includes: a sound vibration sensor and a central control panel.
Sound vibration sensor gathers child heart data signal and transmits to central control panel, and its quantity is a plurality of, constitutes the array structure, can adopt piezoelectric type vibration sensor. The central control board transmits the collected fetal heart data signals to an application system and executes control commands acquired from the application system. The method comprises the following steps: a micro control unit, a Bluetooth chip and a USB/UART interface. At present, sensors in a hardware platform are distinguished from a central control board (data storage, Bluetooth module), and power supply of the sensors is also provided by a battery in the central control board. In a particular configuration, the data storage module, as well as the battery, can be moved to the sensor module as needed and packaged with the sensor module.
The application system of the invention comprises: the device comprises a communication module, a control module and a display module. The communication module acquires the fetal heart data signal from the hardware platform, transmits the fetal heart data compressed by the control module to the cloud computing platform, and acquires the positioning result from the cloud computing platform. And the control module compresses the acquired fetal heart data signals. The display module displays the fetal heart rate and the positioning result.
The cloud computing platform comprises: signal processing module, heart rate extraction module and child heart orientation module. The signal processing module obtains fetal heart sound according to the fetal heart data signals and filters noise in the fetal heart sound. The heart rate extraction module extracts heart rate data from the filtered fetal heart sounds to obtain the fetal heart rate. The fetal heart positioning module is used for positioning the fetal heart according to fetal heart sounds. The cloud computing platform stores the fetal heart data signals and the positioning results to the block chain, so that data storage and tracing are facilitated, monitoring of medical staff is facilitated, and data are prevented from being tampered.
The cloud computing platform can also continuously train a neural network model by utilizing the acquired fetal heart data signals, so that the positioning accuracy is improved.
Wearable equipment, including sound vibration sensor, gather child heart data signal. Wearable devices include bands, clothing, and the like, preferably of flexible material, formed into a characteristic configuration that is more conformable to a person's wear. The current sensors may be alternative sensors, i.e. multiple sensors are grouped together in one sensor or multiple sensors are distributed on the wearable device. That is, we can use only a single sensor, or multiple sensors can be grouped in a single sensor container.
And the application system is in communication connection with the hardware platform, acquires the fetal heart data signal, transmits the fetal heart data signal to the cloud computing platform and controls the fetal heart instrument to work. The application system can be a mobile phone, a PAD and other terminals which are convenient to carry and use. The fetal heart data can be partially cached locally, and then is linked to the mobile phone through a Bluetooth module of a control panel on the wearable device and is matched with the mobile phone. This also can be wearable equipment and other mobile devices pair and accomplish, for example smart audio amplifier, intelligent bracelet, mobile computer, intelligent domestic appliance, WIFI router etc. realize the transmission of information through being connected with these equipment. The application system acquires fetal heart signal data of multiple dimensions from the multi-dimensional channel sensor and projects the fetal heart signal data to a one-dimensional, two-dimensional or three-dimensional space, and the application system comprises:
the collection step comprises: fetal heart signal data of multiple dimensions are acquired through a multi-dimensional channel sensor.
Visualization processing steps: the fetal heart signal data is projected into one, two or three dimensional space.
A display step: and acquiring and displaying data output in the visualization processing step. The display mode comprises the following steps: values, graphs, histograms, pie charts, statistical distribution histograms, hotspot graphs, area color block graphs, three-dimensional energy maps, spatial energy distribution maps, and the like.
Parameter setting step: and acquiring the set parameters and adjusting the displayed content.
The projection includes any one or more of:
projection: and projecting the fetal heart signal data to a space with corresponding dimensionality by using the constructed projection matrix. For example, to construct a projection matrix
Here a matrix of projections of three-dimensional data onto two-dimensional data is given. Accordingly, a matrix can be constructed that projects from the M dimension to the N dimension.
Clustering: using fetal heart signal data of a certain dimension as a marker, performing cluster analysis on the marker to reduce the fetal heart signal data of the dimension as the marker.
Principal component analysis: and carrying out feature vector analysis on the multi-dimensional channel sensor, and carrying out dimension reduction on fetal heart signal data. In order to obtain a method for reducing data dimension, the present invention uses the largest L eigenvalues and corresponding eigenvectors to reduce the signal dimension to L dimension, where L <5 in this embodiment.
And (3) integration processing: and integrating according to the designated dimension, and processing the discrete or continuously changing numerical value on the designated dimension into an energy scalar of the designated dimension by integration so as to achieve the purpose of reducing the dimension.
In the invention, the fetal heart signal data with multiple dimensions at least comprises the following five dimensions, and a user can directly observe accessed dimension information.
A. Fetal heart signal data acquired by single acquisition channel
x is the acquired time domain signal, the superscript i is the number of a single acquisition channel, and the subscript t is the time series number. This dimension is spread out over time, with each measurement yielding a series of data based on different acquisition times.
B. Multiple fetal heart signal data collected by sensors at different positions in a multi-dimensional channel sensor
N is the total number of acquisition channels of the multi-dimensional channel sensor, the dimensionality is spread out in space, and a plurality of fetal heart signal data acquired by the sensors at different spatial positions are different.
C. The time of acquiring fetal heart signal data, e.g., days of the week, is measured, e.g., at certain times of the day, e.g., weeks during pregnancy, etc.
D. The frequency domain information of fetal heart signal data, the heart rate concerned by the user, is actually the number of times a certain event occurs in a unit time, and is a kind of frequency information. And the frequency domain information is the heart sound frequency, representing the frequency range of the acoustic signal carrying the fetal heart information.
E. Feature information of fetal heart signal data, which is feature information extracted from the measurement signal. The clustering method of the signal characteristic information can be directly researched by doctors or medical institutions.
In this embodiment, the above 5 different dimensions are directly observed and accessed by the user. In other embodiments, there are dimensions that are not observed and accessed by the user, and we will integrate in an autonomic process without being exposed to the customer. These 5 different dimensions make each measurement a 5-dimensional multi-dimensional measurement.
The invention projects 5-dimensional information on different spaces, and aims to show only 2-dimensional or 1-dimensional information when showing the information to a user. Is convenient to understand. Meanwhile, information which is not available in the original signal can be mined. For example, the projection of the space dimension and the frequency dimension, will show the information of fetal movement, fetal position, etc.
A cloud computing platform: and extracting fetal heart sound and fetal heart rate from the fetal heart data signals, positioning the fetal heart according to the fetal heart sound, and returning a positioning result to the user terminal.
Specifically, the acoustic vibration sensor is a fetal heart detection sensor matrix of a multi-dimensional channel sensor. A plurality of sensors is included. Each sensor comprises a plurality of acoustic cell groups, each acoustic cell group comprising a plurality of acoustic cells 1, as shown in figure 3. In the embodiment shown in fig. 4, the 16 sound-sensitive units 1 are divided into four groups, but the invention is not limited thereto. The multiple acoustic sensing unit groups adopt differential measurement to form a single acquisition channel.
As shown in fig. 5, the sensor is a layered structure including: the acoustic damping structure comprises an acoustic coupling structure layer 11, a sensor structure layer 12 and an acoustic damping structure layer 13, wherein the sensor structure layer 12 is arranged between the acoustic coupling structure layer 11 and the acoustic damping structure layer 13. As shown in fig. 6, the sensor structure layer includes: sound insulation material 14 and a plurality of sound-sensitive cells 1, sound insulation material 14 is filled between sound-sensitive cells 1.
As shown in fig. 7 and 8, the plurality of sensors are spatially combined, and when post-processing is performed on the acquired signals, the plurality of sensors are self-organized and grouped for measurement and noise reduction, respectively.
The invention provides a signal processing method of a fetal heart detection sensor matrix of a multi-dimensional channel sensor, which adopts the fetal heart detection sensor matrix of the multi-dimensional channel sensor and comprises the following steps:
1) each acoustic sensor unit receives a signal
2) The signal received by each group of sound sensitive units is
Assume that there are M groups of a single acquisition channel. Without loss of generality, we choose here M ═ 2.
3) The signal collected by each collection channel is
A differential measurement is completed.
4) Obtaining signals by a single acquisition channel
x is the acquired time domain signal. i is the number of the individual acquisition channels. t time series numbers.
5) The signal obtained by the composite sensor matrix is
6) According to the collected signal
A matrix of correlation values can be obtained
A＝XX＇
7) The feature vectors of the symmetric a matrix are analyzed.
AU＝UV
The characteristic values are arranged, the largest ones represent the sources of several main sound signals, and generally, the heartbeat sound of the pregnant woman, the heartbeat sound of the fetus and the environmental noise generate the largest ones. Wherein
Is the result of the ranking of the eigenvalues. The corresponding signal and noise space is also formed by the corresponding feature vector.
8) The main three signal sources, fetal heart, maternal heartbeat, and environmental noise, are uncorrelated signals between them. The feature vector column vector can be divided into a fetal heart signal feature vector, a pregnant woman heartbeat signal feature vector and a noise signal feature vector;
9) setting spatial guide matrixes a and b and constructing energy spectrum function
The above formula P is combined by epsilon and theta of peak values, and the space propagation relative direction of the fetal heart signals is given.
10) Using the obtained spatial steering matrix information, the processing is performed as follows:
b′(θ)a′(ε)Aa(ε)b(θ)
11) here, fetal heart signals are extracted and two kinds of interference information are weakened
12) The steps (1) to (11) are a self-organizing multiple-input multiple-output SMIMO (self-organizing multiple-input multiple-output) collection processing method. The method may be reused multiple times over a sampling period. The results of multiple times may be accumulated for the purpose of improving the signal-to-noise ratio. The process of using SMIMO is shown in fig. 10.
Because of the SMIMO, the pregnant woman may use the inventive fetal heart measuring device in a complex noisy environment. Such as daily activities, such as working, interacting with others, purchasing outside, etc. The complex noise environment created and faced in these activities is problematic for typical measurement equipment. And SMIMO solves the problem of extracting fetal heart information in a complex environment.
The signals acquired by the composite acquisition matrix will be used for calculations based on the fetal heart rate. The self-organizing function of the multiple sensors is completed, background noise is weakened, non-fetal heart signal energy is weakened, and the output result is fetal heart rate and fetal heart direction. This is achieved using a rotational noise space based signal processing technique. And meanwhile, self-organization of a plurality of sensor groups is realized. The self-organization of the composite matrix of sensors is achieved by an algorithm. A typical example of self-organization here is that several sensor signals near the fetus will be concentrated to extract fetal heart information, while multiple sensor signals near the maternal heart will be concentrated to extract maternal heart beat information, which will be used to attenuate the associated non-fetal heart signal energy. And selecting which sensors to use as a measurement group is automatically performed by the algorithm. No manual selection is required. On the other hand, the self-organizing array enables the pregnant woman to wear a plurality of sensors without accurate positioning, and the sensors can automatically adapt. At the same time, the position of the fetus can be self-adaptive. The fetal heart information cannot be captured because the fetus moves. In addition, due to the influence of the change of the human body posture characteristics, the technology can be widely applied.
The self-organization means that partial channel data of multiple acquisition channel signals are used without supervision (manual intervention and selection) so as to achieve the purpose of outputting the maximum signal-to-noise ratio. It is not optimal to use all channel signals, and the purpose of redundant acquisition is not to miss signals, but to acquire a large number of signals with low signal-to-noise ratio and low information content. The sub-organization without supervision (manual intervention and selection) realizes that only part of the collected signals are used, so as to achieve the purposes of improving the signal-to-noise ratio and expanding the information quantity. The input signal of the algorithm is the acquired signal of N single acquisition channels
Designing self-organizing weighting matrices
Wherein w is more than or equal to 0m≤1。wnThe setting will be made using the manner of fig. 11.
Because of the adoption of the structure of the adjacent computing system, the pregnant woman as a user can quickly obtain the fetal heart information of the relationship and the clustering analysis result based on the intelligent algorithm. Meanwhile, complex explanation and case analysis can be carried out with the assistance of a remote doctor, and the misdiagnosis risk is reduced. In the process, the personal information security can be guaranteed. And the time to obtain information is shortened.
The application system transmits the fetal heart data signals to an adjacent computing module for processing, and then transmits the fetal heart data signals to the cloud computing platform, so that the computing pressure of the cloud computing platform is reduced. Rapid analysis and processing can be performed locally, close to the data source. The operation is more efficient, and the information is safer. And the transmission flow pressure of the collected big data is relieved, and the method is suitable for long-time measurement.
The invention also provides a fetal heart measuring method, which adopts the fetal heart monitor to measure the fetal heart.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
In the description of the present application, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present application.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A fetal heart monitor, comprising:
a wearable device;
hardware platform: the wearable device is arranged on the wearable device, comprises a multi-dimensional channel sensor and is used for acquiring fetal heart data signals;
the application system comprises the following steps: the fetal heart data acquisition module is in communication connection with the hardware platform, acquires the fetal heart data signal, transmits the fetal heart data signal to a cloud computing platform, and controls the hardware platform to work;
a cloud computing platform: extracting fetal heart sound and fetal heart rate from the fetal heart data signals, positioning the fetal heart according to the fetal heart sound, and returning a positioning result to the application system; wherein the content of the first and second substances,
the multi-dimensional channel sensor comprises a plurality of sensors, each sensor comprises a plurality of sound-sensitive unit groups, and the plurality of sound-sensitive unit groups adopt differential measurement to form a single acquisition channel; each sound sensitive unit group comprises a plurality of sound sensitive units;
the application system acquires fetal heart signal data of multiple dimensions from the multi-dimensional channel sensor and projects the fetal heart signal data to a one-dimensional, two-dimensional or three-dimensional space.
2. The fetal heart monitor of claim 1, wherein the sensor is a layered structure comprising: an acoustic coupling structural layer, a sensor structural layer, and an acoustic damping structural layer;
the sensor structural layer is disposed between the acoustic coupling structural layer and the acoustic damping structural layer.
3. The fetal heart monitor of claim 2, wherein the sensor structure layer comprises: the sound insulation material is filled between the sound-sensitive units.
4. The fetal heart monitor of claim 1, wherein the plurality of sensors are spatially compounded and self-organized into groups for measurement and noise reduction respectively during post-processing of the acquired signals.
5. The fetal heart monitor of claim 1, wherein the differential measurement comprises:
the signal collected by a single collecting channel is the difference value of different sound sensitive unit groups.
6. The fetal heart monitor of claim 1, wherein the plurality of dimensions comprise:
fetal heart signal data acquired by single acquisition channel
x is the acquired time domain signal, the superscript i is the number of a single acquisition channel, and the subscript t is the time series number;
multiple fetal heart signal data collected by sensors at different positions in a multi-dimensional channel sensor
N is the total number of acquisition channels of the multi-dimensional channel sensor;
the moment of collecting fetal heart signal data;
frequency domain information of fetal heart signal data;
characteristic information of fetal heart signal data.
7. The fetal heart monitor of claim 6, wherein the matrix of signals A (t) acquired by the multi-dimensional channel sensor is:
numerical matrix A:
A＝XX′
x is the collected signal, and X is the collected signal,
superscript' is a conjugate transposed symbol;
analyzing the feature vector of the numerical matrix A:
AU＝UV
wherein the feature vector
Is a characteristic value
V is a feature value diagonal matrix;
dividing the characteristic vector into a fetal heart signal characteristic vector T, a pregnant woman heartbeat signal characteristic vector P and a noise signal characteristic vector E,
setting spatial steering matrixes a and b, and constructing an energy ordinary function P (epsilon, theta):
K1、K2a weighting coefficient between 0 and 1; the superscript' is a conjugate transpose symbol, and the epsilon and theta combination which enables P (epsilon and theta) to take the peak value is taken;
extracting fetal heart signals: b '(θ) a' (ε) Aa (ε) b (θ).
8. The fetal heart monitor of claim 1, wherein the application system transmits the fetal heart data signals to a neighboring computing module for processing and then to the cloud computing platform to reduce the computing pressure of the cloud computing platform.
9. The fetal heart monitor of claim 1, wherein the application system comprises:
a communication module: acquiring the fetal heart data signal from the hardware platform, transmitting the fetal heart data compressed by the control module to the cloud computing platform, and acquiring the positioning result from the cloud computing platform;
a control module: compressing the acquired fetal heart data signals;
a display module: and displaying the fetal heart rate and the positioning result.
10. A fetal heart measuring method, characterized in that the fetal heart monitor of any one of claims 1 to 9 is used for fetal heart measurement.
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