CN111973172B - Cardiac structure imaging system and method based on MCG and ECG fusion - Google Patents

Cardiac structure imaging system and method based on MCG and ECG fusion Download PDF

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CN111973172B
CN111973172B CN202010884783.XA CN202010884783A CN111973172B CN 111973172 B CN111973172 B CN 111973172B CN 202010884783 A CN202010884783 A CN 202010884783A CN 111973172 B CN111973172 B CN 111973172B
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宁晓琳
安楠
曹富智
韩邦成
房建成
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Abstract

The invention relates to a cardiac structure imaging system and method based on MCG and ECG fusion, comprising the following steps: the system comprises a magnetic shielding room, an electrocardio measuring module, an electrocardio-magnetic measuring module, a data synchronization and acquisition module and a structure imaging module. According to MCG (magnetocardiogram signals) and ECG (electrocardiogram signals) which are synchronously acquired, the system firstly solves the inverse problem by the magnetocardiogram signals to obtain the position and the intensity of the heart source activity; secondly, carrying out forward calculation on the heart source activity calculated in the first step according to a preset trunk-heart model structure to obtain the theoretical potential of each electrocardio-electrode position; and thirdly, comparing the theoretical potential with a signal actually acquired by the ECG, and calculating for many times until the difference value between the theoretical value and the actual value of the electrocardio-electrode potential is smaller than a set value by continuously modifying the sizes of all parts of the structures in the heart in the second step, wherein all parts of the structures in the heart are the obtained heart structure imaging result.

Description

Cardiac structure imaging system and method based on MCG and ECG fusion
Technical Field
The invention relates to a cardiac structure imaging technology in the field of structural imaging, in particular to a cardiac structure imaging system and method based on MCG and ECG fusion.
Background
Heart diseases such as cardiomyopathy, heart tumor, congenital heart disease, particularly complex deformity, valvular heart disease and the like need to be diagnosed and analyzed by means of heart imaging technology. The current cardiac imaging techniques are mainly ultrasound imaging, CT imaging and MRI imaging. The CT imaging radiation dose is high, and certain harm is caused to a human body; MRI imaging is not suitable for patients with cardiac bypass. The current Magnetocardiogram (MCG) and Electrocardiograph (ECG) measuring equipment can detect electromagnetic field information, are used for reflecting functional information of the heart, and have the characteristics of ultrahigh time resolution, no wound and quick response. Both the heart magnet and the heart electricity are electromagnetic fields generated by the source activity of the heart, namely action potential of myocardial cells, and are conducted to the surface of a human body through the human body to be recorded, the difference of the conductivity at each part of the human body is large, and the change of the permeability is small, so that the conduction of the heart electricity in the human body is greatly influenced by the conductivity, the conduction of the heart magnet is basically not influenced by the permeability, namely, the human body is transparent to the heart magnet and can be completely transmitted. Imaging of cardiac structures using MCG and ECG fused systems is possible based on the fact that there are different aberrations in the conduction of cardiac source activity to the body surface.
Therefore, the cardiac structure imaging system and method based on MCG and ECG fusion of the invention overcome the defects that CT imaging radiation is harmful to human bodies and MRI is not suitable for patients with cardiac bypass, and become a novel cardiac structure imaging technology with the characteristics of harmlessness and suitability for all people.
Disclosure of Invention
The invention solves the problems: the defects of the prior art are overcome, the cardiac structure imaging system and method based on MCG and ECG fusion are provided, the cardiac structure imaging system and method are harmless to human bodies, the defect that CT imaging radiation is harmful to human bodies is overcome, the cardiac structure imaging system is suitable for various people, the defect that MRI cannot be suitable for patients with cardiac bypass is overcome, and high time resolution is used as a supplement to the existing cardiac imaging system.
The technical scheme of the invention is as follows: a cardiac structure imaging system based on MCG and ECG fusion mainly comprises: the system comprises a magnetic shielding room, an electrocardio measuring module, an electrocardio-magnetic measuring module, a data synchronization and acquisition module and a structure imaging module. The electrocardio measuring module and the magnetocardiogram measuring module are arranged in the magnetic shielding room and are respectively used for measuring electrocardio signals and magnetocardiogram signals, the acquired signals are output to the data synchronizing and acquiring module outside the magnetic shielding room, the acquired digital signals are input to the structure imaging module, the structure imaging module receives the electrocardio signals and the magnetocardiogram signals output by the data synchronizing and acquiring module, and cardiac structure imaging is carried out on the synchronously acquired electrocardio signals and magnetocardiogram signals at each moment.
1) Magnetic shielding room
The electrocardiographic measurement and the magnetocardiogram measurement are carried out in a magnetic shielding room. Since the earth magnetic field has a 50-60 μ T magnetic field, the magnetic field of the magnetocardiogram is in the order of 1-100pT, and thus magnetocardiogram measurements need to be performed in a magnetically shielded environment. The magnetic shielding room is used for shielding the magnetic field of the earth environment and needs the remanence to be less than 10 nT.
2) Electrocardio measuring module
The electrocardio measuring module is arranged in the magnetic shielding room and comprises an electrocardio electrode and an amplifier. The connection relationship is as follows: 64 or more electrocardio-electrodes are connected to the amplifier, the electrocardiosignals collected by the electrocardio-electrodes are subjected to signal amplification by the amplifier and are output to the data synchronization and collection module outside the magnetic shielding room by the optical fiber. The array electrocardio-electrode uses silver chloride as an electrode material, the silver chloride material can not generate magnetic interference to the magnetocardiogram measuring equipment, and 64 electrodes are arranged in an 8-by-8 array. The amplifier is a nuclear magnetism compatible amplifier, and the amplifier housing is magnetically shielded, so that the circuit in the amplifier does not generate magnetic noise outside the amplifier.
3) Magnetocardiogram measuring module
The magnetocardiogram measurement module is placed in a magnetic shielding room, and the module comprises 64 or more magnetometer probes. The magnetometer probes are used for measuring the normal and tangential magnetic fields of the body surface, are arranged in an 8 x 8 array and are inserted into an insertion plate for fixing the magnetometer probes, and 8 x 8 slots are formed in the insertion plate. And the magnetocardiogram signals measured by the magnetometer probe are output to a data synchronization and acquisition module outside the magnetic shielding room.
4) Data synchronization and acquisition module
The data synchronization and acquisition module comprises a data synchronization trigger clock and a data acquisition card. The data synchronization triggering clock is used for enabling the analog signals output by the electrocardio-measuring module and the magnetocardiogram-measuring module to be collected under the same clock, the electrocardio-signals and the magnetocardiogram signals are synchronously sampled under the synchronous clock, and the sampled signals are output to the structural imaging module.
5) Structural imaging module
The structural imaging module receives the electrocardiosignals and the magnetocardiogram signals output by the data synchronization and acquisition module and images the synchronously acquired electrocardiosignals and magnetocardiogram signals at each moment. The imaging process of the structural imaging module is as follows: firstly, electrocardio signals and magnetocardiogram signals and an initial torso-heart model structure are respectively input, the electrical conductivity of the heart is 0.0537-0.483S/m, the electrical conductivity of the torso is 0.216-0.241S/m, and the electrical conductivity of the interior of the ventricle is 0.4-1.0S/m. Secondly, solving an inverse problem of 64-channel magnetocardiogram signals at a single moment to obtain the activity position and the intensity of a heart source; thirdly, because the electrical conductivity of the electrocardiosignals at different parts of the human body is different, the voltage theoretical value of each electrode position of the electrocardio is obtained by forward calculation according to the heart source activity position estimated in the first step according to a preset trunk-heart model structure; step four, comparing actual signals collected by the electrocardio forward calculation estimated theoretical value and the electrocardio device in the step three, and verifying whether the difference value between the two signals is less than a preset value; and step four, if the difference obtained in the step three is smaller than a preset value, the assumed trunk-heart model structure is considered as the final imaging structure, otherwise, the trunk-heart model is modified, and the calculation is returned to the step three. And finally obtaining the imaging result of the heart structure and outputting the imaging result to a display screen.
The cardiac structure imaging method based on MCG and ECG fusion mainly realizes the following steps:
firstly, establishing a magnetocardiogram guiding field phi by using finite elements according to an initial torso-heart conduction modelE(Vi,σi) 1, 2, n and an ecg lead field MM(Vj,μj) J 1, 2.. m, where V denotes the finite volume element, σiRepresents ViElectrical conductivity, muiRepresents VjAnd (4) magnetic permeability.
Secondly, because the magnetocardiogram permeability changes little along with the change of the tissue, the magnetocardiogram guiding field is considered to be more accurate, so that the magnetocardiogram guiding field M is obtainedM(Vj,μj) Searching a source space, solving the heart source activity, wherein the solving method is shown as the following formula:
Figure BDA0002655242010000031
wherein, YMFor magnetocardiogram array signals measured by the magnetocardiogram measuring module, SMFor the solved cardiac source activity, G is the cardiac source space, i.e., the cardiac volume. Solving the above equation to obtain SM
Thirdly, taking a threshold value Q, and continuously updating a conduction model of the trunk-heart, namely the electrocardio-guide field phiERepeating the second step to enable the electrocardiosignals measured by the electrocardio measuring module and the theoretical voltage values phi of the positions of the electrodes of the electrocardio to be measuredESMThe difference is less than or equal to the threshold Q, as shown in the following equation:
Figure BDA0002655242010000032
wherein, YEFor the electrocardiographic signal, S, measured by the electrocardiographic measuring moduleMFor the heart source activity, phi, obtained in the last stepEIs an updated electrocardiogram guide field.
Finally, from phiE(Vi,σi) N gives the imaging results of cardiac structures, characterizing different cardiac conductivity regions in different colors.
Compared with other structural imaging systems, the cardiac structural imaging system based on MCG and ECG fusion has the advantages that:
(1) compared with the CT cardiac imaging technology, the CT radiation dose is high and harmful to the human body, and the invention can overcome the defect and has no side effect on the human body.
(2) Compared with the MRI cardiac imaging technology, MRI is not suitable for pregnant women or patients with heart bypass, and the cardiac structure imaging technology based on MCG and ECG fusion can be suitable for various people including pregnant women, children and the like.
(3) Compared with the ultrasonic cardiac imaging technology, the structural imaging technology provided by the invention can not only provide structural information, but also reflect the electrical activity and magnetic activity conditions of the heart, and analyze the source activity condition of the heart with high time resolution.
In a word, the invention firstly provides a heart structure imaging graph obtained by combining the functional magnetocardiogram and electrocardio measurement results with modeling calculation, so that the information such as heart conductivity change and the like is visually reflected, and the invention can be expanded and applied to clinic in the future.
Drawings
FIG. 1 is a system block diagram of a cardiac structure imaging system based on MCG and ECG fusion;
FIG. 2 is a schematic layout of the electrocardio-electrode and magnetocardiogram probe;
FIG. 3 is an imaging flow diagram of a structural imaging module.
In the figure: the system comprises a magnetic shielding room 1, an electrocardio measuring module 2, a magnetocardiogram measuring module 3, a data synchronization and acquisition module 4, a structure imaging module 5, an electrocardio electrode 6 and a magnetocardiogram probe 7.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
As shown in fig. 1, a cardiac structure imaging system based on MCG and ECG fusion is presented, which mainly comprises: the system comprises a magnetic shielding room 1, an electrocardio measuring module 2, an electrocardio-magnetic measuring module 3, a data synchronization and acquisition module 4 and a structure imaging module 5. The electrocardio measuring module 2 and the magnetocardiogram measuring module 3 are arranged in the magnetic shielding room 1 and are respectively used for measuring electrocardio signals and magnetocardiogram signals, the acquired signals are output to the data synchronization and acquisition module 4 outside the magnetic shielding room 1, and the acquired digital signals are input to the structural imaging module 5 for cardiac structural imaging.
(1) Magnetic shielding room 1
The electrocardiographic measurement and the magnetocardiogram measurement are performed in the magnetic shielding room 1. Since the earth magnetic field has a 50-60 μ T magnetic field, the magnetic field of the magnetocardiogram is in the order of 1-100pT, and thus magnetocardiogram measurements need to be performed in a magnetically shielded environment. The magnetic shielding room 1 is used for shielding the magnetic field of the earth environment and needs the remanence to be less than 10 nT.
(2) Electrocardio measuring module 2
The electrocardio measuring module 2 is arranged in the magnetic shielding room 1 and comprises an electrocardio electrode 6 and an amplifier. The connection relationship of each part in the electrocardio measuring module 2 is as follows: 64 or more electrocardio-electrodes 6 are connected to the amplifier, the electrocardiosignals collected by the electrocardio-electrodes 6 are subjected to signal amplification by the amplifier and are output to the data synchronization and collection module 4 outside the magnetic shielding room 1 by the optical fiber. The amplifier is a nuclear magnetism compatible amplifier, and the amplifier housing is magnetically shielded, so that the circuit in the amplifier does not generate magnetic noise outside the amplifier. The arrangement of the array electrocardio-electrodes is shown in figure 2, the electrode material of the electrocardio-electrodes 6 is silver chloride, the silver chloride material can not generate magnetic interference to the magnetocardiogram measuring equipment, and 64 electrodes 1 are arranged in an 8 x 8 array.
(3) Magnetocardiogram measuring module 3
The magnetocardiogram measuring module 3 is placed in the magnetic shielding room 1, and comprises 64 or more magnetocardiogram probes 7. The magnetocardiometer probes 7 are used for measuring the magnetic field in the normal direction and the tangential direction of the body surface, are arranged in an 8 x 8 array, are inserted into an insertion plate for fixing the magnetocardiometer probes, are provided with 8 x 8 insertion slots, and are arranged as shown in fig. 2. The magnetocardiogram signals measured by the magnetocardiogram probe 7 are output to the data synchronization and acquisition module 4 outside the magnetic shielding room 1.
(4) Data synchronization and acquisition module 4
The data synchronization and acquisition module 4 comprises a data synchronization trigger clock and a data acquisition card. The data synchronization trigger clock is used for enabling the analog signals output by the electrocardio-measuring module 2 and the magnetocardiogram-measuring module 3 to be collected under the same clock, under the synchronous clock, the electrocardio signals and the magnetocardiogram signals are synchronously sampled, and the sampled signals are output to the structural imaging module 5.
(5) Structural imaging module 5
The structural imaging module 5 receives the electrocardio signals and the magnetocardiogram signals output by the data synchronization and acquisition module 4, and images the synchronously acquired electrocardio signals and magnetocardiogram signals at each moment. The imaging process of the structural imaging module is as follows:
firstly, respectively inputting electrocardio signals, magnetocardiogram signals and initial bodyThe dry-heart model structure is characterized in that the electrical conductivity of the heart is 0.0537-0.483S/m, the electrical conductivity of the trunk is 0.216-0.241S/m, and the electrical conductivity of the interior of the ventricle is 0.4-1.0S/m. Respectively adopting finite elements to establish a magnetocardiogram guiding field phi according to an initial torso-heart conduction modelE(Vi,σi) 1, 2, n and an ecg lead field MM(Vj,μj) J 1, 2.. m, where V denotes the finite volume element, σiRepresents ViElectrical conductivity, muiRepresents VjAnd (4) magnetic permeability.
And secondly, solving an inverse problem of the 64-channel magnetocardiogram signal at a single moment to obtain the activity position and the intensity of the heart source. Because the magnetocardiogram permeability changes little along with the change of the tissue, the magnetocardiogram guiding field is considered to be more accurate, so the magnetocardiogram guiding field M is based onM(Vj,μj) Searching a source space, and solving the heart source activity, wherein the solving method is shown as the following formula:
Figure BDA0002655242010000051
wherein, YMMagnetocardiogram array signals, M, measured for a magnetocardiogram measuring moduleMSimplified writing method for creating a magnetocardiogram guide field, SMFor the heart source activity to be solved, G is heart source space, and the heart source activity S is obtained by solving the above formulaM
Thirdly, because the electrical conductivity of the electrocardiosignals at different parts of the human body is different, the theoretical voltage value phi of each electrode position of the electrocardio is obtained by forward calculation according to the preset torso-heart model structure from the heart source activity position estimated in the first stepESM
And fourthly, comparing the voltage theoretical value of each electrode position obtained by the electrocardio forward calculation in the third step with the actual signal collected by the electrocardio device, and verifying whether the difference value between the two values is less than or equal to a preset value. Taking a threshold value Q, and continuously updating a conduction model of the trunk-heart, namely the electrocardiogram guide field phiERepeating the third step such that the following holds:
Figure BDA0002655242010000052
wherein, YEFor the electrocardiographic signal, S, measured by the electrocardiographic measuring moduleMFor the heart source activity, phi, obtained in the last stepEIs an updated electrocardiogram guide field.
Fifthly, if the difference obtained in the fourth step is smaller than a preset value, the assumed trunk-heart model structure is considered as a final imaging structure; otherwise, the body-heart structure model is modified, and the third step of calculation is returned. After iteration of calculation, finally the value is calculated by phiE(Vi,σi) N gives the imaging results of the cardiac structure, and different cardiac conductivity regions are characterized in different colors and output to a display screen.
Those skilled in the art will appreciate that the invention may be practiced without these specific details.

Claims (4)

1. A cardiac structure imaging system based on MCG and ECG fusion, the system comprising: the system comprises a magnetic shielding room, an electrocardio measuring module, an electrocardio-magnetic measuring module, a data synchronization and acquisition module and a structure imaging module; the electrocardio-measuring module and the magnetocardiogram measuring module are arranged in the magnetic shielding room and are respectively used for measuring electrocardio-signals and magnetocardiogram signals, the acquired signals are output to the data synchronization and acquisition module outside the magnetic shielding room, the acquired digital signals are input to the structure imaging module, the structure imaging module receives the electrocardio-signals and the magnetocardiogram signals output by the data synchronization and acquisition module, and cardiac structure imaging is carried out on each moment of the synchronously acquired electrocardio-signals and magnetocardiogram signals;
the electrocardio measuring module comprises electrocardio electrodes and an amplifier, 64 or more electrocardio electrodes are connected to the amplifier, electrocardio signals collected by the electrocardio electrodes are subjected to signal amplification by the amplifier and are output to the data synchronization and collection module outside the magnetic shielding room through optical fibers; the electrode material of the array electrocardio-electrode uses silver chloride material, 64 electrodes are arranged in 8 by 8 array; the amplifier is compatible with nuclear magnetism, and the shell of the amplifier is subjected to magnetic shielding treatment, so that a circuit in the amplifier cannot generate magnetic noise outside the amplifier;
the imaging process of the structural imaging module is as follows:
firstly, respectively inputting an electrocardiosignal, a magnetocardiogram signal and an initial torso-heart model structure;
secondly, solving an inverse problem of the multi-channel magnetocardiogram signal at a single moment to obtain the activity position and the intensity of the heart source;
thirdly, according to a preset trunk-heart model structure, calculating the positive direction of the heart source activity position estimated in the second step to obtain a potential theoretical value of each electrode position of the electrocardio;
fourthly, comparing the potential theoretical value obtained in the third step with an actual signal collected by the electrocardio equipment, and verifying whether the difference value between the two is smaller than a preset value;
fifthly, if the obtained difference is smaller than a preset value, the set torso-heart model structure is considered to be the final imaging structure; otherwise, modifying the torso-heart structure model, returning to the third step for recalculation until the difference is smaller than the preset value, and obtaining the heart structure imaging result and outputting the heart structure imaging result to the display screen.
2. An MCG and ECG fusion based cardiac structure imaging system as claimed in claim 1, wherein: the magnetocardiogram measuring module comprises 64 or more magnetometer probes, the magnetometer probes are used for measuring the normal and tangential cardiac magnetic fields of the body surface, are arranged in an 8 x 8 array and are inserted into an inserting plate used for fixing the magnetometer probes, and 8 x 8 inserting grooves are formed in the inserting plate.
3. An MCG and ECG fusion based cardiac structure imaging system as claimed in claim 1, wherein: the data synchronization and acquisition module comprises a data synchronization trigger clock and a data acquisition card, the data synchronization trigger clock is used for enabling analog signals output by the electrocardio measurement module and the magnetocardiogram measurement module to be acquired under the same clock, under the synchronous clock, the electrocardio signals and the magnetocardiogram signals are synchronously sampled, and the sampled signals are output to the structural imaging module.
4. A method for imaging cardiac structures based on MCG and ECG fusion, characterized by the fact that it is implemented as:
firstly, according to an initial torso-heart conduction model, respectively adopting finite elements to establish an electrocardio-guiding field phiE(Vi,σi) And the magnetocardiogram guide field MM(Vj,μj) 1, 2., n, j ═ 1, 2., m, V denote finite volume elements, σiRepresents ViElectrical conductivity, muiRepresents VjMagnetic permeability is measured;
second, according to the magnetocardiogram guide field MM(Vj,μj) Searching a source space to obtain heart source activity, wherein the solving method is shown as the following formula:
Figure FDA0003224281310000021
wherein, YMMagnetocardiogram array signals, M, measured for a magnetocardiogram measuring moduleMSimplified writing method for creating a magnetocardiogram guide field, SMFor the heart source activity to be solved, G is heart source space, and the heart source activity S is obtained by solving the above formulaM
Thirdly, taking a threshold value Q, and continuously updating a conduction model of the trunk-heart, namely the electrocardio-guide field phiERepeating the second step to enable the electrocardiosignals measured by the electrocardio measuring module and the potential theoretical value phi of each electrode position of the electrocardio to be measuredESMThe difference is less than or equal to the threshold Q, as shown in the following equation:
Figure FDA0003224281310000022
wherein, YEFor the electrocardiographic signal, S, measured by the electrocardiographic measuring moduleMTo solve for the heart source activity obtained in the previous step,ΦEis an updated electrocardiographic guidance field;
finally, from phiE(Vi,σi) The imaging results of the cardiac structure are given, and different cardiac conductivity regions are characterized in different colors.
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CN115844360B (en) * 2022-11-03 2024-08-27 北京原力辰超导技术有限公司 Open magnetic resonance heart magnetic detection equipment

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000210288A (en) * 1999-01-25 2000-08-02 Aloka Co Ltd Ultrasonic diagnostic apparatus
CN1744927A (en) * 2003-01-27 2006-03-08 电脑医师美国公司 Online source reconstruction for EEG/MEG and ECG/MCG
CN101564294A (en) * 2009-06-01 2009-10-28 中国人民解放军第四军医大学 Method for structural information fused electrical impedance tomography
JP4495803B2 (en) * 1999-08-30 2010-07-07 株式会社東芝 Intracardiac electrical phenomenon diagnostic device
CN104068845A (en) * 2014-03-06 2014-10-01 武汉培威医学科技有限公司 Electrocardio ultrasonic signal fusion computed tomography imaging system and method
CN104334078A (en) * 2012-05-24 2015-02-04 皇家飞利浦有限公司 Reduction of MRI interference from the electrocardiogram using lead information
CN107137107A (en) * 2017-05-09 2017-09-08 上海联影医疗科技有限公司 Multi-modality medical image acquisition methods and multi-modality medical image imaging system
CN107753012A (en) * 2016-08-19 2018-03-06 中国科学院上海微系统与信息技术研究所 A kind of mcg-signalses method for evaluating quality, system and server
JP2018166856A (en) * 2017-03-30 2018-11-01 株式会社日立ハイテクノロジーズ Magnetic data processing system
CN109700463A (en) * 2019-03-12 2019-05-03 四川大学 A kind of magneticencephalogram epileptic spike recognition methods and system
CN110621221A (en) * 2017-11-29 2019-12-27 克里沃医疗技术有限公司 Sensor configuration in a magnetometer for medical use
CN110755076A (en) * 2019-11-01 2020-02-07 上海联影医疗科技有限公司 Image acquisition method, apparatus, device and medium for magnetic resonance scanner
CN110996776A (en) * 2017-08-01 2020-04-10 导管精密有限公司 Method for merging cardiac mapping and model
CN111000549A (en) * 2019-12-30 2020-04-14 扬州大学 Magnetocardiogram measuring system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8230858B2 (en) * 2008-04-01 2012-07-31 General Electric Company Controlling the operation of a respiratory gas monitor

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000210288A (en) * 1999-01-25 2000-08-02 Aloka Co Ltd Ultrasonic diagnostic apparatus
JP4495803B2 (en) * 1999-08-30 2010-07-07 株式会社東芝 Intracardiac electrical phenomenon diagnostic device
CN1744927A (en) * 2003-01-27 2006-03-08 电脑医师美国公司 Online source reconstruction for EEG/MEG and ECG/MCG
CN101564294A (en) * 2009-06-01 2009-10-28 中国人民解放军第四军医大学 Method for structural information fused electrical impedance tomography
CN104334078A (en) * 2012-05-24 2015-02-04 皇家飞利浦有限公司 Reduction of MRI interference from the electrocardiogram using lead information
CN104068845A (en) * 2014-03-06 2014-10-01 武汉培威医学科技有限公司 Electrocardio ultrasonic signal fusion computed tomography imaging system and method
CN107753012A (en) * 2016-08-19 2018-03-06 中国科学院上海微系统与信息技术研究所 A kind of mcg-signalses method for evaluating quality, system and server
JP2018166856A (en) * 2017-03-30 2018-11-01 株式会社日立ハイテクノロジーズ Magnetic data processing system
CN107137107A (en) * 2017-05-09 2017-09-08 上海联影医疗科技有限公司 Multi-modality medical image acquisition methods and multi-modality medical image imaging system
CN110996776A (en) * 2017-08-01 2020-04-10 导管精密有限公司 Method for merging cardiac mapping and model
CN110621221A (en) * 2017-11-29 2019-12-27 克里沃医疗技术有限公司 Sensor configuration in a magnetometer for medical use
CN109700463A (en) * 2019-03-12 2019-05-03 四川大学 A kind of magneticencephalogram epileptic spike recognition methods and system
CN110755076A (en) * 2019-11-01 2020-02-07 上海联影医疗科技有限公司 Image acquisition method, apparatus, device and medium for magnetic resonance scanner
CN111000549A (en) * 2019-12-30 2020-04-14 扬州大学 Magnetocardiogram measuring system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
浅谈心脏磁场的检测及心脏源模型建模;石明伟等;《高科技产品研发》;20180430;44-45 *

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