CN118078300A - Portable wearable medical data detection system and method - Google Patents
Portable wearable medical data detection system and method Download PDFInfo
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Abstract
The invention discloses a portable wearable medical data detection system and a method, wherein the system comprises the following components: the device comprises an ear-wearing device worn on the left and right ears, a hand-wearing device worn on the wrist, and a data acquisition unit and a data detection unit which are respectively connected with the ear-wearing device and the hand-wearing device, wherein the data acquisition unit mutually communicates a first electrode, a second electrode and a third electrode of the ear-wearing device to form three closed loops, and acquires corresponding electrocardiograph data to obtain electrocardiograph data of the ear and the wrist; forming an ear wrist electrocardio triple conductive model framework; the data detection unit determines multi-lead standard electrocardiograph data according to the auricular electrocardiograph data. The invention breaks through the defect that single-lead electrocardiograph data acquisition of the traditional wearable equipment is easy to be interfered, can effectively improve the high real-time, high-precision, continuous and noninductive sensing requirements of electrocardiograph data on the wearable equipment, improves the accuracy of cardiovascular data monitoring, and has the advantages of portability and easy operation.
Description
Technical Field
The invention relates to the technical field of medical data processing, in particular to a portable wearable medical data detection system, a portable wearable medical data detection method and a computer readable storage medium.
Background
Myocardial ischemia and arrhythmia are common cardiovascular diseases, and seriously threaten life and health. The world health organization indicates that among the ten most probable diseases leading to death in humans, ischemic heart disease is the leading one. Early discovery, early treatment, early intervention are of great significance in reducing mortality.
In the traditional electrocardiograph monitoring equipment, electrocardiograph data of left and right upper limbs and left lower limbs of a human body are acquired in an electrode patch mode, and an electrocardiograph of a six-lead electrocardiograph is calculated by utilizing three leads of the left and right upper limbs and the left lower limbs. The electrocardiograph vector is obtained by taking the points of the three different position acquisition points as differential electrocardiograph vectors and then the target position coordinates of each projection point, and the vector loop is calculated by a big data algorithm, so that standard electrocardiograph data of six leads and even twelve leads are obtained, and an electrocardiograph data set for diagnosis is formed. The electrode patch mode is inconvenient for shoelaces to use due to large volume, and is incapable of collecting electrocardiographic data with high precision, high real-time and long-time noninductive performance. With the large-scale popularization and application of wearable devices such as mobile phones, bracelets, watches, earphones and the like, cardiovascular health monitoring based on the wearable devices becomes a research hotspot and development trend.
Currently, wearable devices for cardiovascular health monitoring mainly include: bracelet, watch, running shoes, helmet, etc. The equipment generally adopts a double-electrode mode for acquiring electrocardiographic data, the electrode spacing is relatively close, the correlation between potential difference and spacing is extremely high, and the sampling precision is low. And the electrocardio data sensors sampled by the wearable equipment are usually single leads, have limited precision and are easy to interfere, and the accuracy in aspects of myocardial ischemia, heart rate abnormality monitoring diagnosis and the like is far lower than that of common medical diagnosis equipment.
Disclosure of Invention
Accordingly, the present invention is directed to a portable wearable medical data detection system and method, which aim to at least partially solve at least one of the above problems.
To solve the above technical problem, a first aspect of the present invention proposes a portable wearable medical data detection system, comprising: the device comprises an ear-wearing device worn on the left and right ears, a hand-wearing device worn on the wrist, and a data acquisition unit and a data detection unit which are respectively connected with the ear-wearing device and the hand-wearing device;
the ear-worn device includes: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device;
The hand-worn device includes: the shell comprises a contact surface which is contacted with the wrist, and a third electrode is arranged on the surface of the contact surface positioned in the shell;
The data acquisition unit is used for mutually communicating the first electrode, the second electrode and the third electrode of the ear-wearing device to form three closed loops and acquiring corresponding electrocardiograph data to obtain electrocardiograph data of the ear and the wrist;
the data detection unit is used for determining multi-lead standard electrocardio data according to the auricular electrocardiograph data and detecting whether cardiovascular data are abnormal or not according to the multi-lead standard electrocardio data.
According to a preferred embodiment of the present invention, the data detection unit includes:
The conversion module is used for determining the position coordinates of the projection points corresponding to the same time points in all the electrocardiograph data on the target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points; obtaining an electrocardio vector ring through the target position coordinates of each projection point; inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data;
And the detection module is used for matching the multi-lead standard electrocardio data with normal multi-lead standard electrocardio data and detecting whether cardiovascular data is abnormal according to a matching result.
According to a preferred embodiment of the present invention, the left/right ear wearing device includes an ear insertion portion capable of being partially inserted into an ear, and a first/second electrode is provided at a position where the ear insertion portion contacts with the inner cochlea, and the first/second electrode is used for acquiring electrocardiographic data of the ear;
Or the left/right ear wearing device is connected through a connecting piece and can be worn outside the ear, an earmuff is arranged at the contact position of the left/right ear wearing device and the outside of the ear, a first/second electrode is arranged in the earmuff, and the first/second electrode is used for collecting electrocardio data around the earhole.
According to a preferred embodiment of the present invention, a body temperature acquisition unit is further disposed in the left/right ear-worn device, a photoelectric data acquisition unit and a motion data acquisition unit are further disposed in the hand-worn device, and the third electrode is further used for acquiring heart pulse wave data.
To solve the above technical problem, a second aspect of the present invention provides a medical data detection method employing the portable wearable medical data detection system described in any one of the above, the system including an ear-mounted device, a hand-mounted device, and a data acquisition unit connected to the ear-mounted device and the hand-mounted device, a data detection unit connected to the data acquisition unit, the ear-mounted device including: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device; the method comprises the following steps:
the first electrode, the second electrode and the third electrode of the ear-wearing device are communicated with each other to form three closed loops, and corresponding electrocardiograph data are acquired to obtain electrocardiograph data of the ear wrist;
Determining standard electrocardio data of multiple leads according to the electrocardio data of the ear wrist;
Detecting whether cardiovascular data is abnormal according to the multi-lead standard electrocardiograph data.
According to a preferred embodiment of the present invention, the method for obtaining electrocardiograph data of the ear wrist includes:
wearing the left ear wearing device and the right ear wearing device at preset positions of left and right ears respectively, and wearing the hand wearing device on any wrist;
The first electrode and the second electrode form a first closed loop through a human body, electrocardiographic data of the first closed loop are collected to obtain electrocardiographic data of a first lead, the second electrode and the third electrode form a second closed loop through the human body, electrocardiographic data of the second closed loop are collected to obtain electrocardiographic data of a second lead, the first electrode and the third electrode form a third closed loop through the human body, electrocardiographic data of the third closed loop are collected to obtain electrocardiographic data of a third lead;
the first lead electrocardiograph data, the second lead electrocardiograph data and the third lead electrocardiograph data form ear wrist electrocardiograph data.
According to a preferred embodiment of the present invention, the first electrode, the second electrode and the third electrode form a line to form an equilateral triangle, the center of gravity of the equilateral triangle is used as the heart position, and three lines are respectively formed between the first electrode, the second electrode and the third electrode and the heart to determine avR, avL, avF lead electrocardiograph data.
According to a preferred embodiment of the present invention, the determining the standard electrocardiographic data of the multiple leads from the electrocardiographic data of the ear wrist includes:
Determining the position coordinates of projection points corresponding to the same time point in each electrocardiograph data on a target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points;
Obtaining an electrocardio vector ring through the target position coordinates of each projection point;
and inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data.
According to a preferred embodiment of the invention, the method further comprises:
receiving ear body temperature data, wrist photoelectric data, exercise data and heart pulse wave data;
filtering, fusing and compensating the multi-lead standard electrocardiograph data, ear body temperature data, wrist photoelectric data, motion data and heart pulse wave data to obtain standard reference data;
Detecting whether cardiovascular data is abnormal according to the standard reference data.
According to a preferred embodiment of the present invention, the filtering, fusing and compensating the multi-lead standard electrocardiograph data, ear body temperature data, wrist photoelectric data, motion data and heart pulse wave data to obtain standard reference data includes:
filtering the single mode information respectively to remove drift;
and normalizing the drift-removed data.
To solve the above technical problem, a third aspect of the present invention provides an electronic device, including a processor and a memory, the memory being configured to store computer program code, the processor executing the method according to any of the preceding claims when the processor runs the computer program code.
To solve the above technical problem, a fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, which when executed by a processor, implement the method of any one of the above.
The invention provides a portable wearable medical data detection system and a method, which provide a novel wearable non-inductive electrocardio continuous sensing framework, comprising the following steps: the device comprises an ear-wearing device worn on the left and right ears, a hand-wearing device worn on the wrist, and a data acquisition unit and a data detection unit which are respectively connected with the ear-wearing device and the hand-wearing device; the data acquisition unit is used for mutually communicating the first electrode, the second electrode and the third electrode of the ear-wearing device to form three closed loops, acquiring corresponding electrocardiograph data to obtain electrocardiograph data of the ear and the wrist to form an electrocardiograph triple conductive model framework of the ear and the wrist; the data detection unit is used for determining multi-lead standard electrocardiograph data according to the auricular electrocardiograph data, so that the defect that single-lead electrocardiograph data acquisition of the traditional wearable device is easy to interfere is overcome, the high real-time, high-precision, continuous and noninductive perception requirements of electrocardiograph data on the wearable device can be effectively improved, the accuracy of cardiovascular data monitoring is improved, and the portable and easy-to-operate advantages are achieved.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects achieved more clear, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted, however, that the drawings described below are merely illustrative of exemplary embodiments of the present invention and that other embodiments of the drawings may be derived from these drawings by those skilled in the art without undue effort.
FIG. 1 is a schematic diagram of a structural framework of a portable wearable medical data detection system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of acquiring ear wrist electrocardiographic data according to an embodiment of the present invention;
FIG. 3 is a flow chart of a portable wearable medical data detection method according to an embodiment of the present invention;
FIG. 4 is a block diagram of an exemplary embodiment of an electronic device in accordance with the present invention;
FIG. 5 is a schematic diagram of one embodiment of a computer readable medium of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown, although the exemplary embodiments may be practiced in various specific ways. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, capabilities, effects, or other features described in a particular embodiment may be incorporated in one or more other embodiments in any suitable manner without departing from the spirit of the present invention.
In describing particular embodiments, specific details of construction, performance, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by those skilled in the art. It is not excluded that one skilled in the art may implement the present invention in a particular case in a solution that does not include the structures, properties, effects, or other characteristics described above.
The flow diagrams in the figures are merely exemplary flow illustrations and do not represent that all of the elements, operations, and steps in the flow diagrams must be included in the aspects of the present invention, nor that the steps must be performed in the order shown in the figures. For example, some operations/steps in the flowcharts may be decomposed, some operations/steps may be combined or partially combined, etc., and the order of execution shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus repeated descriptions of the same or similar elements, components or portions may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or portions, these devices, elements, components or portions should not be limited by these terms. That is, these phrases are merely intended to distinguish one from the other. For example, a first device may also be referred to as a second device without departing from the spirit of the invention. Furthermore, the term "and/or," "and/or" is meant to include all combinations of any one or more of the items listed.
Referring to fig. 1, fig. 1 is a portable wearable medical data detection system provided by the present invention, including: an ear-wearing device 1 worn on the left and right ears, a hand-wearing device 2 worn on the wrist, a data acquisition unit 3 connected to the ear-wearing device 1 and the hand-wearing device 2, respectively, and a data detection unit 4 connected to the data acquisition unit 3; wherein:
the ear-mounted device 1 comprises: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device.
In one example, electrocardiographic data around the left and right ears may be acquired by a first electrode and a second electrode, respectively, such as: and the first electrode and the second electrode are used for respectively acquiring electrocardio data in the left cochlea and the right cochlea, the left ear wearing device comprises an ear insertion part which can be partially placed in the ear, the first electrode is arranged at the contact position of the ear insertion part and the inner cochlea, and the first electrode is used for acquiring the electrocardio data of the cochlea. Correspondingly, the right ear wearing device comprises an ear insertion part which can be partially placed into the ear, and a second electrode is arranged at the contact position of the ear insertion part and the inner ear worm. Wherein: the ear-in part can refer to the structure of the existing earphone. And, for example: and the first electrode and the second electrode are used for respectively acquiring electrocardiographic data around the left ear hole and the right ear hole, the left ear wearing device is connected through a connecting piece and can be worn outside the ear, an earmuff is arranged at the contact position of the left ear wearing device and the outside of the ear, and the first electrode is arranged in the earmuff. Correspondingly, the right ear wearing device is connected through a connecting piece and can be worn outside the ear, an earmuff is arranged at the contact position of the right ear wearing device and the outside of the ear, and a second electrode is arranged in the earmuff.
In another example, electrocardiographic data behind the left and right earlobes may be acquired by the first electrode and the second electrode, respectively, and then the left ear-worn device includes a hollow adhesive frame provided with an opening, the periphery of the opening is provided with an adhesive surface, the adhesive surface is further provided with an openable adhesive cover, the first electrode is disposed in the adhesive frame, and one surface of the first electrode faces the opening. When the electrocardiograph is used, the adhesive cover is opened, the adhesive surface is adhered to the rear of the earlobe, the first electrode contacts the rear of the earlobe, and electrocardiograph data of the rear of the earlobe are collected through the first electrode. For specific structure of the right ear-wearing device, reference is made to the left ear-wearing device.
In yet another example, electrocardiographic data of the outer ear may be acquired by a first electrode and a second electrode, respectively, the left ear-worn device comprises an ear clip, and the first electrode is provided with the ear clip clamping surface. In use, the ear clip is clipped to a predetermined position of the outer ear (e.g., earlobe), and the electrocardiographic data of the outer ear is acquired via the first electrode. For specific structure of the right ear-wearing device, reference is made to the left ear-wearing device.
The hand-wearing device 2 comprises a bracelet and a shell, wherein the shell comprises a contact surface contacted with a wrist, and a third electrode is arranged on the surface of the contact surface positioned in the shell;
The data acquisition unit 3 is configured to communicate the first electrode, the second electrode, and the third electrode of the ear-worn device with each other to form three closed loops, and acquire electrocardiograph data corresponding to each other, so as to obtain electrocardiograph data of the ear and the wrist.
Wherein: the data acquisition unit 3 may be an electrocardiograph respectively connected with the first electrode, the second electrode and the third electrode, as shown in fig. 2, taking the case that the user wears the hand-worn device 2 on the left wrist, when the user wears the hand-worn device 2 on the left wrist, the skin of the user clings to the third electrode, the left ear and the right ear cling to the first electrode and the second electrode respectively, then the first electrode and the second electrode form a first closed loop through a human body, the electrocardiograph data of the first closed loop is acquired to obtain the first lead electrocardiograph data, the second electrode and the third electrode form a second closed loop through a human body, the electrocardiograph data of the second closed loop is acquired to obtain the second lead electrocardiograph data, the first electrode and the third electrode form a third closed loop through a human body, and the electrocardiograph data of the third closed loop is acquired to obtain the third lead electrocardiograph data. The first lead electrocardiograph data, the second lead electrocardiograph data and the third lead electrocardiograph data form ear wrist electrocardiograph data. Even further, six-lead electrocardiographic data may be determined, such as: the first electrode, the second electrode and the third electrode form a connecting line to form an equilateral triangle, the center of gravity of the equilateral triangle is used as the heart position, three connecting lines are respectively formed between the first electrode, the second electrode and the third electrode and the heart to determine avR, avL, avF-lead electrocardiograph data (standard electrocardiograph data), and therefore detection can be performed based on I, II, III, avR, avL, avF-six-lead electrocardiograph data (even 12-lead standard electrocardiograph data).
In this embodiment, the data acquisition unit 3 may be connected to the data detection unit 4 by a wired or wireless manner, where: the data detection unit 4 is used for determining multi-lead standard electrocardiograph data according to the auricular electrocardiograph data and detecting whether cardiovascular data is abnormal according to the multi-lead standard electrocardiograph data. Specifically, the data detection unit includes:
The conversion module is used for determining the position coordinates of the projection points corresponding to the same time points in all the electrocardiograph data on the target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points; obtaining an electrocardio vector ring through the target position coordinates of each projection point; inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data; and the detection module is used for matching the multi-lead standard electrocardio data with normal multi-lead standard electrocardio data and detecting whether cardiovascular data is abnormal according to a matching result.
In this embodiment, the data acquisition unit 3 and the data detection unit 4 may be built in the ear-worn device 1 or the hand-worn device 2, or may be deployed on a remote server, and the present invention is not limited specifically.
Furthermore, other data acquisition units can be further arranged in the hand-wearing device 2 and/or the ear-wearing device 1 to acquire other physiological parameters of the human body, so that the accuracy of detecting cardiovascular data is improved. Such as: a body temperature acquisition unit can be further arranged in the left/right ear wearing device, so that the temperature of ears of a human body is acquired, a photoelectric data acquisition unit is arranged in the hand wearing device 2, blood oxygen data is acquired, and heart pulse waves are acquired through a third electrode of the hand wearing device 2. Wherein: the body temperature acquisition unit can adopt a temperature sensor, and the photoelectric data acquisition unit can adopt a photoelectric sensor.
Furthermore, considering that different physical states and different motion states can affect cardiovascular data, the invention can also provide a motion sensor in the hand-wearing device2, and the physical state and/or motion state information can be determined through the motion sensor in the hand-wearing device 2. Thus, the correlation between the cardiovascular data of different physical states and/or different motion states and the cardiovascular diseases is determined, and the accurate detection of the cardiovascular data of the human body in different living scenes is satisfied. Wherein: the physical state may include: standing, sitting, lying down, etc., the movement state may include: stationary, walking, running, jumping, etc. The motion data acquisition unit may employ gyroscopes, accelerometers, motion sensors, and the like.
It will be appreciated by those skilled in the art that the modules in the embodiments of the apparatus described above may be distributed in an apparatus as described, or may be distributed in one or more apparatuses different from the embodiments described above with corresponding changes. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
Based on the portable wearable medical data detection system, the invention also provides a method for detecting medical data by adopting the portable wearable medical data detection system, wherein: the system includes an ear-mounted device, a hand-mounted device, and a data acquisition unit connected with the ear-mounted device and the hand-mounted device, a data detection unit connected with the data acquisition unit, the ear-mounted device comprising: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device. As shown in fig. 3, the method includes:
S1, communicating a first electrode, a second electrode and a third electrode of the ear-wearing device with each other to form three closed loops, and collecting corresponding electrocardiograph data to obtain electrocardiograph data of the ear and the wrist;
illustratively, this step may include:
s11, respectively wearing a left ear wearing device and a right ear wearing device at preset positions of left and right ears, and wearing a hand wearing device on any wrist;
S12, the first electrode and the second electrode form a first closed loop through a human body, electrocardiographic data of the first closed loop are acquired to obtain electrocardiographic data of a first lead, the second electrode and the third electrode form a second closed loop through the human body, electrocardiographic data of the second closed loop are acquired to obtain electrocardiographic data of a second lead, the first electrode and the third electrode form a third closed loop through the human body, electrocardiographic data of the third closed loop are acquired to obtain electrocardiographic data of a third lead;
And S13, the first lead electrocardiograph data, the second lead electrocardiograph data and the third lead electrocardiograph data form ear wrist electrocardiograph data.
Even further, six-lead electrocardiographic data may be determined, such as: the first electrode, the second electrode and the third electrode form a connecting line to form an equilateral triangle, the center of gravity of the equilateral triangle is used as the heart position, three connecting lines are respectively formed between the first electrode, the second electrode and the third electrode and the heart to determine avR, avL, avF-lead electrocardiograph data (standard electrocardiograph data), and therefore detection can be performed based on I, II, III, avR, avL, avF-six-lead electrocardiograph data (even 12-lead standard electrocardiograph data).
S2, determining multi-lead standard electrocardiograph data according to the ear wrist electrocardiograph data;
illustratively, this step may include:
s21, determining the position coordinates of projection points corresponding to the same time point in each electrocardiograph data on a target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points;
specifically, for any wave of any specific type in any electrocardiographic data, a potential difference value corresponding to the wave at each time point can be obtained based on the outline of the wave. Wherein each wave of the specified type includes at least one of a P wave, a T wave, and a QRS wave.
Obtaining position coordinates of projection points corresponding to the wave at each time point on a target coordinate axis according to potential difference values corresponding to the wave at each time point, wherein the target coordinate axis is determined based on leads corresponding to the electrocardiograph data;
wherein the target coordinate axes include an X-axis, a Y-axis, and a Z-axis. The target coordinate axis corresponding to the electrocardiographic data of each lead is preset.
In one embodiment, the target position coordinates of each projection point corresponding to each time point of the wave on the target coordinate axis, which is the X axis, may be determined by the following formula:
X0＝cos A×Yt；
Wherein X 0 is the position coordinate of the wave on the target coordinate axis X at the time point t, and A is the preset projection angle. Yt is the potential difference value corresponding to the wave at time point t.
If the electrocardiographic data includes electrocardiographic data of lead I, then A is equal to 0 in this embodiment. And the value of a is derived based on the current lead I and the target coordinate axis X.
In one embodiment, the target position coordinate of each projection point corresponding to each time point of the wave on the target coordinate axis is determined by the following formula:
Y0＝cos B×Yt；
Wherein Y 0 is the position coordinate of the wave on the target coordinate axis Y at the time point t, and B is the preset projection angle. Yt is the potential difference value corresponding to the wave at time point t.
If the electrocardiographic data includes electrocardiographic data of lead II, B, etc. 30 in the present embodiment, and the value of B is obtained based on the current lead II and the target coordinate axis Y.
In one embodiment, the target position coordinate of each projection point corresponding to each time point of the wave on the target coordinate axis is determined by the following formula:
Z0＝cos C×Yt；
Wherein Z 0 is the position coordinate of the wave on the target coordinate axis Z at the time point t, and C is the preset projection angle. Yt is the potential difference value corresponding to the wave at time point t.
And finally, obtaining the target position coordinates of the projection points according to the position coordinates of the projection points corresponding to the same time points in the electrocardiographic data on the target coordinate axis.
S22: obtaining an electrocardio vector ring through the target position coordinates of each projection point;
Such as: and obtaining an electrocardio vector ring corresponding to the P wave according to the position coordinates of the projection points corresponding to each time point in the P wave for the P wave in the I lead electrocardio data. And obtaining the electrocardio vector rings by utilizing the electrocardio vector rings corresponding to the waves of the appointed type, wherein the number of the electrocardio vector rings is the same as the number of the types of the waves.
S23, inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data.
In this embodiment, the conversion model is trained in advance through big data, and can convert the electrocardiographic vector ring into standard electrocardiographic data of the corresponding leads. Such as: the six-lead conversion model can convert the electrocardio vector ring into six-lead standard electrocardio data; the twelve lead transformation model may transform the electrocardiographic vector loop into twelve lead standard electrocardiographic data.
S3, detecting whether cardiovascular data are abnormal or not according to the multi-lead standard electrocardiograph data.
Specifically, the step can match the multi-lead standard electrocardiograph data with normal multi-lead standard electrocardiograph data, and detect whether cardiovascular data is abnormal according to a matching result. Such as: and (3) matching the six-lead standard electrocardiograph data output in the step (S2) with normal six-lead standard electrocardiograph data, if the matching is successful, the cardiovascular data is normal, otherwise, the cardiovascular data is abnormal, and when the cardiovascular data is abnormal, alarm prompt can be carried out.
Furthermore, in order to improve the detection accuracy, other physiological parameters of the human body can be collected through the ear-wearing device and/or the hand-wearing device, and whether the cardiovascular data are normal or not is detected by combining the physiological parameters of the human body with the electrocardiograph data. The invention also provides another method for medical data detection by adopting the portable wearable medical data detection system, which comprises the following steps:
S101, the first electrode, the second electrode and the third electrode of the ear-wearing device are mutually communicated to form three closed loops, corresponding electrocardio data are acquired, ear wrist electrocardio data are obtained, and ear body temperature data, wrist photoelectric data, motion data and heart pulse wave data are received;
S102, determining standard electrocardio data of multiple leads according to the electrocardio data of the ear wrist;
S103, filtering, fusing and compensating the multi-lead standard electrocardiograph data, the ear body temperature data, the wrist photoelectric data, the motion data and the heart pulse wave data to obtain standard reference data;
The accurate representation and extraction of the feature changes of human physiological data such as pulse wave, electrocardio data and the like are the basis and premise of accurately predicting cardiovascular diseases. These physiological data are easily masked by noise or interference (e.g., baseline drift, motion artifacts) and may even be completely aliased with the noise pattern. Therefore, the invention carries out filtering treatment on the multi-mode information one by one to realize the fusion and compensation calibration of the perception information.
Illustratively, this step may include:
s31, filtering the single mode information respectively to remove baseline drift;
In one example, different filtering methods may be used for different modality information, such as: after electrocardiograph data acquisition, band-pass filtering is performed first, for example, 50HZ filtering is performed to remove noise interference, then leveling filtering is performed on the initial position of the QRS wave to obtain an ORS wave group, and finally heart rate data confirmation calibration is performed on the QRS wave group and the pulse wave.
Wherein: the QRS complex reflects the changes in left and right ventricular depolarization potentials and time, with the first downward wave being the Q wave, the upward wave being the R wave, and the next downward wave being the S wave. The flattening filter processing for the QRS wave starting position may include: for R wave, find out the value that the slope is greater than 0, and assign to 1, the rest is 0, then the maximum value of R wave is located the corresponding position of 1,0 in the sequence, namely the corresponding position point of the preceding value than the value that is greater than the latter, simultaneously find out the corresponding position of the value that the slope is less than 0, and assign to 1, the rest is 0, then the minimum value of R wave is located the corresponding position of 1,0 in the sequence. I.e. the position point corresponding to a value that is larger in the front than in the rear. A reliable threshold (e.g., dividing all points into 4 portions, taking the average of the maximum values per portion, T, for a threshold of T/3) is then set to extract a set of adjacent maximum-minimum pairs. The over 0 point between the maximum and minimum values is then the R-wave point corresponding to the original data. Based on the position of the R wave, the first 3 poles at the R wave position are Q waves, and the last 3 poles at the R wave position are S waves, thereby obtaining an ORS wave group.
The pulse wave refers to a wave which is emitted at the same time interval and is suddenly changed in a short time, and then returns to its original value rapidly. In this embodiment, the waveform of the pulse wave finger voltage is the waveform of pulse beat on the electrocardiogram, and preferably, the pulse wave may be a preset standard pulse wave. Said checking the QRS complex against the pulse wave for heart rate data validation calibration may comprise: comparing the QRS complex with the pulse amplitude Um, the pulse repetition period T and the pulse width tw of the standard pulse wave respectively, and if the difference values of the pulse amplitude Um, the pulse repetition period T and the pulse width tw are within a preset range, determining that the heart rate data are accurate; if any difference value of the pulse amplitude Um, the pulse repetition period T and the pulse width tw is not in a preset range, the electrocardiographic data needs to be calibrated.
In addition, at least one filtering treatment of low-pass filtering, band-pass filtering and high-pass filtering can be carried out on blood oxygen data according to actual needs; at least one filtering treatment of low-pass filtering, band-pass filtering and high-pass filtering can be carried out on the body temperature data according to actual requirements; and at least one filtering process of low-pass filtering, band-pass filtering and high-pass filtering can be carried out on the motion state data according to actual requirements.
In another example, the same filtering process may be used for different modality information, such as: the electrocardio data, blood oxygen data, body temperature data, motion state data and the like are subjected to filtering processing by adopting band-pass filtering, waveforms with preset frequencies are reserved, and waveforms with other frequencies are restrained, so that baseband drift, noise interference, motion artifacts and the like are removed. Wherein: the predetermined frequency of the different modality information retention may be set as desired. Specifically, during bandpass filtering, fourier transform may be performed on the original data (data) to obtain a frequency spectrum, a channel of the bandpass filter is designed according to a predetermined frequency, filtering processing is performed, and finally fourier transform is performed on the data (data) after filtering processing to obtain information after filtering processing.
S32, normalizing the data from which the baseline drift is removed.
In the embodiment, the data of different modes after the filtering process are fused into a unified data form through the normalization process so as to identify abnormal cardiovascular data. Wherein: normalization may be maximum minimum normalization (Min-Max Normalization), z-score normalization, or normalization functions may be used, such as: a logarithmic normalization function, an exponential normalization function, and the like.
S104, detecting whether cardiovascular data is abnormal according to the standard reference data.
Specifically, the step can match standard reference data of different modes with normal standard data of corresponding modes respectively, and detect whether cardiovascular data is abnormal according to a matching result.
The following describes an embodiment of an electronic device of the present invention, which may be regarded as a physical form of implementation for the above-described embodiment of the method and apparatus of the present invention. Details described in relation to the embodiments of the electronic device of the present invention should be considered as additions to the embodiments of the method or apparatus described above; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or apparatus embodiments.
Fig. 4 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
As shown in fig. 4, the electronic device 400 of the exemplary embodiment is in the form of a general-purpose data processing device. The components of electronic device 400 may include, but are not limited to: at least one processing unit 410, at least one memory unit 420, a bus 430 connecting the different electronic device components (including memory unit 420 and processing unit 410), a display unit 440, and the like.
The storage unit 420 stores a computer readable program, which may be a source program or code of a read only program. The program may be executed by the processing unit 410 such that the processing unit 410 performs the steps of various embodiments of the present invention. For example, the processing unit 410 may perform the steps shown in fig. 1.
The memory unit 420 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 4201 and/or cache memory 4202, and may further include Read Only Memory (ROM) 4203. The storage unit 420 may also include a program/utility 4204 having a set (at least one) of program modules 4205, such program modules 4205 including, but not limited to: an operating electronic device, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 430 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The electronic device 400 may also communicate with one or more external devices 100 (e.g., keyboard, display, network device, bluetooth device, etc.), such that a user can interact with the electronic device 400 via the external devices 100, and/or such that the electronic device 400 can communicate with one or more other data processing devices (e.g., routers, modems, etc.). Such communication may occur through an input/output (I/O) interface 450, and may also occur through a network adapter 460 to one or more networks, such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet. The network adapter 460 may communicate with other modules of the electronic device 400 via the bus 430. It should be appreciated that although not shown in fig. 4, other hardware and/or software modules may be used in electronic device 400, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID electronics, tape drives, data backup storage electronics, and the like.
FIG. 5 is a schematic diagram of one embodiment of a computer readable medium of the present invention. As shown in fig. 5, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable data medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electronic device, apparatus, or means of electronic, magnetic, optical, electromagnetic, infrared, or semiconductor, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing devices, enables the computer readable medium to carry out the above-described method of the present invention, namely: the first electrode, the second electrode and the third electrode of the ear-wearing device are communicated with each other to form three closed loops, and corresponding electrocardiograph data are acquired to obtain electrocardiograph data of the ear wrist; determining standard electrocardio data of multiple leads according to the electrocardio data of the ear wrist; detecting whether cardiovascular data is abnormal according to the multi-lead standard electrocardiograph data.
From the above description of embodiments, those skilled in the art will readily appreciate that the exemplary embodiments described herein may be implemented in software, or may be implemented in software in combination with necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, comprising several instructions to cause a data processing device (may be a personal computer, a server, or a network device, etc.) to perform the above-described method according to the present invention.
The computer readable storage medium may include data that is propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such propagated data may take a variety of forms, including, but not limited to, electro-magnetic data, optical data, or any suitable combination of the preceding. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution electronic device, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the present invention may be implemented in a method, apparatus, electronic device, or computer readable medium that executes a computer program. Some or all of the functions of the present invention may be implemented in practice using a general purpose data processing apparatus, such as a microprocessor or digital data processor (DSP).
The above-described specific embodiments further describe the objects, technical solutions and advantageous effects of the present invention in detail, and it should be understood that the present invention is not inherently related to any particular computer, virtual device or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (12)
1. A portable wearable medical data detection system, comprising: the device comprises an ear-wearing device worn on the left and right ears, a hand-wearing device worn on the wrist, and a data acquisition unit and a data detection unit which are respectively connected with the ear-wearing device and the hand-wearing device;
the ear-worn device includes: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device;
The hand-worn device includes: the shell comprises a contact surface which is contacted with the wrist, and a third electrode is arranged on the surface of the contact surface positioned in the shell;
The data acquisition unit is used for mutually communicating the first electrode, the second electrode and the third electrode of the ear-wearing device to form three closed loops and acquiring corresponding electrocardiograph data to obtain electrocardiograph data of the ear and the wrist;
the data detection unit is used for determining multi-lead standard electrocardio data according to the auricular electrocardiograph data and detecting whether cardiovascular data are abnormal or not according to the multi-lead standard electrocardio data.
2. The system of claim 1, wherein the data detection unit comprises:
The conversion module is used for determining the position coordinates of the projection points corresponding to the same time points in all the electrocardiograph data on the target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points; obtaining an electrocardio vector ring through the target position coordinates of each projection point; inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data;
And the detection module is used for matching the multi-lead standard electrocardio data with normal multi-lead standard electrocardio data and detecting whether cardiovascular data is abnormal according to a matching result.
3. The system of claim 1 or 2, wherein the left and right ear-worn devices each comprise:
The device can be partially placed in an ear insertion part in the ear, a first electrode of the left ear wearing device and a second electrode of the right ear wearing device are arranged at the contact position of the ear insertion part and the inner ear worm, and the first electrode and the second electrode are used for acquiring ear electrocardio data; or alternatively
The left ear wearing device and the right ear wearing device are connected through a connecting piece and can be worn outside the ear, earmuffs are arranged at positions, which are contacted with the outside of the ear, of the left ear wearing device and the right ear wearing device, a first electrode or a second electrode which is contacted with the outside of the ear is arranged in the earmuffs, and the first electrode and the second electrode are used for collecting electrocardio data around the earhole.
4. The system of claim 3, wherein the left and right ear-worn devices are further provided with a body temperature acquisition unit, the hand-worn device is further provided with a photoelectric data acquisition unit and a motion data acquisition unit, and the third electrode is further used for acquiring heart pulse wave data.
5. A medical data detection method employing the portable wearable medical data detection system of any of claims 1-4, wherein the system comprises an ear-worn device, a hand-worn device, and a data acquisition unit connected to the ear-worn device and the hand-worn device, a data detection unit connected to the data acquisition unit, the ear-worn device comprising: the device comprises a left ear wearing device and a right ear wearing device, wherein a first electrode is arranged in the left ear wearing device, and a second electrode is arranged in the right ear wearing device; the method comprises the following steps:
the first electrode, the second electrode and the third electrode of the ear-wearing device are communicated with each other to form three closed loops, and corresponding electrocardiograph data are acquired to obtain electrocardiograph data of the ear wrist;
Determining standard electrocardio data of multiple leads according to the electrocardio data of the ear wrist;
Detecting whether cardiovascular data is abnormal according to the multi-lead standard electrocardiograph data.
6. The method of claim 5, wherein communicating the first electrode, the second electrode, and the third electrode of the ear-worn device to each other to form three closed loops and collecting respective electrocardiographic data to obtain the ear wrist electrocardiographic data comprises:
wearing the left ear wearing device and the right ear wearing device at preset positions of left and right ears respectively, and wearing the hand wearing device on any wrist;
The first electrode and the second electrode form a first closed loop through a human body, electrocardiographic data of the first closed loop are collected to obtain electrocardiographic data of a first lead, the second electrode and the third electrode form a second closed loop through the human body, electrocardiographic data of the second closed loop are collected to obtain electrocardiographic data of a second lead, the first electrode and the third electrode form a third closed loop through the human body, electrocardiographic data of the third closed loop are collected to obtain electrocardiographic data of a third lead;
the first lead electrocardiograph data, the second lead electrocardiograph data and the third lead electrocardiograph data form ear wrist electrocardiograph data.
7. The method of claim 5, wherein the first, second and third electrodes are wired to form an equilateral triangle, wherein the center of gravity of the equilateral triangle is used as the heart position, and wherein the first, second and third electrodes are wired to the heart to determine avR, avL, avF leads of the electrocardiograph data.
8. The method of any one of claims 5-7, wherein determining standard electrocardiographic data for multiple leads from ear wrist electrocardiographic data comprises:
Determining the position coordinates of projection points corresponding to the same time point in each electrocardiograph data on a target coordinate axis according to the potential difference between the electrocardiograph data of the ear wrist, and obtaining the target position coordinates of the projection points;
Obtaining an electrocardio vector ring through the target position coordinates of each projection point;
and inputting the electrocardio vector ring into a corresponding conversion model to obtain corresponding multi-lead standard electrocardio data.
9. The method of claim 5, wherein the method further comprises:
receiving ear body temperature data, wrist photoelectric data, exercise data and heart pulse wave data;
filtering, fusing and compensating the multi-lead standard electrocardiograph data, ear body temperature data, wrist photoelectric data, motion data and heart pulse wave data to obtain standard reference data;
Detecting whether cardiovascular data is abnormal according to the standard reference data.
10. The method of claim 9, wherein filtering, fusing and compensating the multi-lead standard electrocardiographic data, ear body temperature data, wrist photoelectric data, motion data, and heart pulse wave data to obtain standard reference data comprises:
filtering the single mode information respectively to remove drift;
Normalizing the drift-removed data .
11. An electronic device comprising a processor and a memory for storing computer program code, the processor executing the method of any of claims 5-10 when the computer program code is executed.
12. A computer readable storage medium storing one or more programs, which when executed by a processor, implement the method of any of claims 5-10.
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