CN109171807B - Signal processing method and system of ultrasonic diagnostic equipment and ultrasonic diagnostic equipment - Google Patents
Signal processing method and system of ultrasonic diagnostic equipment and ultrasonic diagnostic equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5207—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of raw data to produce diagnostic data, e.g. for generating an image
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
Abstract
The invention discloses a signal processing method and a signal processing system of ultrasonic diagnostic equipment and the ultrasonic diagnostic equipment, which are applied to the technical field of ultrasonic diagnosis, and the method comprises the following steps: acquiring a reflection signal of a pulse signal, and marking the reflection signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum; and executing corresponding processing instructions according to the marks of the reflected signals. The system is used for executing the corresponding method. The ultrasonic diagnostic equipment comprises a signal receiver and a processor, wherein the signal receiver is used for acquiring a reflected signal of a pulse signal and marking the reflected signal according to a set frequency spectrum standard; the processor is used for executing corresponding processing instructions according to the marks of the reflected signals. According to the invention, through acquiring the reflected signal of the pulse signal, marking the reflected signal according to the set frequency spectrum standard and executing the corresponding processing instruction according to the mark of the reflected signal, various processing instructions can be executed according to the property of the reflected signal, thereby helping doctors to quickly finish diagnosis operation.
Description
Technical Field
The invention relates to the technical field of ultrasonic diagnosis, in particular to a signal processing method and system of ultrasonic diagnosis equipment and the ultrasonic diagnosis equipment.
Background
When the ultrasonic diagnosis collects the frequency spectrum of the reflected signal of the pulse, the signal to be collected accords with a certain standard, for example, more than three continuous uniform and clear-boundary frequency spectrums are collected; however, in clinical practice, some situations cause spectrum instability or cannot be detected, for example, when an umbilical artery spectrum is punctured, venous reflux and cardiac output are affected due to changes of chest pressure when a fetus breathes and moves, so that doppler spectrums are different in height, and when a vein is punctured deeply, a spectrum signal is weak due to probe frequency or vein position, so that analysis of a reflected signal is not facilitated; after a doctor types a standard image, because the hand moves to the freezing key, the clicking action and the self reactivity of the freezing key, the frozen image after the freezing key is clicked often belongs to frequency spectrums which do not meet the standard, the doctor needs to move the track ball to play back, and then can select a plurality of most standard frequency spectrums to observe and measure, so that the efficiency is low; meanwhile, in the actual ultrasonic diagnosis, the capability of acquiring a standard image needs to be improved by depending on the operation technique of a doctor, and the physician needs to search the operation technique by himself, which is time-consuming and labor-consuming, and is not beneficial to the improvement of the level of the doctor.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. To this end, an object of the present invention is to provide a signal processing method, a system and an ultrasonic diagnostic apparatus of the ultrasonic diagnostic apparatus.
The technical scheme adopted by the invention is as follows: a signal processing method of an ultrasonic diagnostic apparatus, comprising the steps of: acquiring a reflection signal of a pulse signal, and marking the reflection signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum; and executing corresponding processing instructions according to the marks of the reflected signals.
Further, the step of marking the reflected signal according to the set spectral standard comprises: and selecting continuous reflection signals, calculating corresponding frequency difference values, judging whether the frequency difference values meet a threshold value, marking the continuous reflection signals as normal frequency spectrums if the frequency difference values meet the threshold value, and otherwise, marking the continuous reflection signals as dissimilarity frequency spectrums.
Further, the step of executing the corresponding processing instruction according to the mark of the reflected signal comprises: when the mark is a normal frequency spectrum, executing a frequency spectrum analysis instruction to process a reflected signal corresponding to the normal frequency spectrum; and when the mark is a dissimilatory frequency spectrum, executing a prompt message instruction or/and an instrument parameter adjusting instruction.
Further, the method also comprises the following steps: acquiring external operation to set receiving time, acquiring reflection signals of pulse signals within the receiving time, and marking the reflection signals one by one according to set frequency spectrum standards; correspondingly, the executing the corresponding processing instruction according to the mark of the reflection signal specifically includes: when no normal frequency spectrum exists in all the marks, executing an output prompt information instruction or an instrument parameter adjusting instruction; when a normal spectrum and a dissimilarity spectrum exist in all the marks at the same time, executing a spectrum analysis instruction to process a reflected signal corresponding to the normal spectrum; and when only normal frequency spectrum exists in all the marks, executing a frequency spectrum analysis instruction to process the reflected signal corresponding to the normal frequency spectrum.
Further, the spectrum analysis instruction is used for processing the reflected signals to obtain corresponding biomass, the prompt information instruction is used for outputting operation prompt information, and the instrument parameter adjustment instruction is used for changing the operation parameters of the ultrasonic diagnosis equipment.
The other technical scheme adopted by the invention is as follows: a signal processing system of an ultrasonic diagnostic apparatus, comprising: the acquisition module is used for acquiring a reflected signal of the pulse signal and marking the reflected signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum; and the processing module is used for executing the corresponding processing instruction according to the mark of the reflected signal.
Further, the step of marking the reflected signal according to the set spectral standard comprises: and selecting continuous reflection signals, calculating corresponding frequency difference values, judging whether the frequency difference values meet a threshold value, marking the continuous reflection signals as normal frequency spectrums if the frequency difference values meet the threshold value, and otherwise, marking the continuous reflection signals as dissimilarity frequency spectrums.
Further, comprising: the step of executing the corresponding processing instruction according to the mark of the reflected signal comprises the following steps: when the mark is a normal frequency spectrum, executing a frequency spectrum analysis instruction to process a reflected signal corresponding to the normal frequency spectrum; and when the mark is a dissimilatory frequency spectrum, executing a prompt message instruction or/and an instrument parameter adjusting instruction.
Further, the acquisition module is specifically configured to acquire an external operation to set a receiving time, acquire a reflected signal of the pulse signal within the receiving time, and mark the reflected signal one by one according to a set spectrum standard, where the mark includes a normal spectrum and a dissimilarity spectrum; the processing module is used for executing an output prompt information instruction or an instrument parameter adjusting instruction when normal frequency spectrums do not exist in all the marks; when a normal spectrum and a dissimilarity spectrum exist in all the marks at the same time, executing a spectrum analysis instruction to process a reflected signal corresponding to the normal spectrum; and when only normal frequency spectrum exists in all the marks, executing a frequency spectrum analysis instruction to process the reflected signal corresponding to the normal frequency spectrum.
The other technical scheme adopted by the invention is as follows: an ultrasonic diagnostic device comprises a signal receiver and a processor, wherein the signal receiver is used for acquiring a reflected signal of a pulse signal, the reflected signal is marked according to a set spectrum standard, and the mark comprises a normal spectrum and a dissimilarity spectrum; the processor is used for executing corresponding processing instructions according to the marks of the reflected signals.
The invention has the beneficial effects that:
according to the invention, through acquiring the reflected signal of the pulse signal, marking the reflected signal according to the set frequency spectrum standard and executing the corresponding processing instruction according to the mark of the reflected signal, various processing instructions can be executed according to the property of the reflected signal, thereby helping doctors to quickly finish diagnosis operation.
Drawings
Fig. 1 is a schematic diagram of a signal processing method of an ultrasonic diagnostic apparatus of the present invention;
fig. 2 is a flowchart of the ultrasonic diagnostic apparatus of the present invention executing corresponding processing instructions according to the marker of the reflected signal;
fig. 3 is a schematic diagram of a signal processing flow of the ultrasonic diagnostic apparatus of the present invention;
fig. 4 is a schematic diagram of a signal processing system of the ultrasonic diagnostic apparatus of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Example 1
The purpose of this embodiment is to explain the technical problems of the prior art and the solution of the present invention.
When the ultrasonic diagnosis collects the frequency spectrum of the reflected signal of the pulse, the signal to be collected accords with a certain standard, for example, more than three continuous uniform and clear-boundary frequency spectrums are collected; however, in clinical practice, some situations cause spectrum instability or cannot be detected, for example, when an umbilical artery spectrum is punctured, venous reflux and cardiac output are affected due to changes of chest pressure when a fetus breathes and moves, so that doppler spectrums are different in height, and when a vein is punctured deeply, a spectrum signal is weak due to probe frequency or vein position, so that analysis of a reflected signal is not facilitated; after a physician types a more standard image, because a hand moves to a freezing key, a clicking action and the self reactivity of the freezing key, the frozen image after the freezing key is clicked often belongs to some non-standard frequency spectrums, and the physician needs to move a trackball to play back to select several most standard frequency spectrums for observation and measurement, which is inefficient.
S01, acquiring a reflected signal of the pulse signal, and marking the reflected signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum;
and S02, executing a corresponding processing instruction according to the mark of the reflection signal.
Example 2
The purpose of this example is to explain the step of marking the reflected signal on the basis of example 1.
In actual ultrasonic diagnosis, the accuracy of signal analysis of an individual reflected signal is not as good as that of comprehensive analysis of a plurality of reflected signals, but based on the principle of statistics, if sample fluctuation is too large, the accuracy may be adversely affected, and in medical diagnosis, inaccurate measurement may cause medical accidents, so that it is necessary to determine that the reflected signal meets the specification, in this embodiment, whether the reflected signal meets the threshold (i.e., the specification) is mainly determined according to the difference (frequency difference) between the frequencies of two adjacent reflected signals; while the specific threshold may be set small (e.g., the difference in frequency is no more than 10% of the frequency of one of the parties).
For example, the spectrum of a reflected signal is represented as a triangle, the spectrum of a series of consecutive reflected signals forms a queue of triangles with connected bases, and the qualified spectrum is required to be the standard whether the boundaries of three or more consecutive spectra are clear and have no burrs, whether the heights are consistent, whether the widths are consistent, and whether the shapes are consistent, and the corresponding values are expressed as that the difference between the frequencies of two adjacent reflected signals at the time point does not exceed a threshold value at the corresponding time point of a signal cycle.
Specific examples are: in the actual ultrasonic diagnosis, the pulse signal period is very short, in the example, the period of one reflected signal is set to be 1s, the range of the time point of the period comprises 0 to 1s, and different time points have corresponding frequencies; for example, at the position of 0.2s, it is required that the difference of the frequencies of two adjacent reflected signals at the time point (0.2s) does not exceed a threshold value (10%); when the frequency difference at each time point of the cycle (0 to 1s) does not exceed the threshold, the two adjacent reflected signals are considered to be in good condition, i.e. belong to the normal spectrum, otherwise the two adjacent reflected signals do not belong to the dissimilarity spectrum, and the process is also applicable to the judgment between more than two (e.g. three, four or more) adjacent reflected signals.
Example 3
The purpose of this embodiment is to explain the flow of executing the corresponding processing instruction according to the flag of the reflected signal as shown in fig. 2.
S11, acquiring a reflection signal of the pulse signal, and marking the reflection signal according to a set frequency spectrum standard;
s12, judging the type of the mark;
s13, when the mark is normal spectrum, executing a spectrum analysis instruction to process the reflection signal corresponding to the normal spectrum;
s14, when the mark is a dissimilatory frequency spectrum, executing a prompt message instruction or/and an instrument parameter adjusting instruction; wherein the content of the first and second substances,
the purpose of ultrasonic diagnosis is to calculate corresponding biomass according to data of reflected signals, and related calculation processes and algorithms (belonging to a spectrum analysis instruction, which aims to analyze a spectrum to obtain biomass) are common technologies in the technical field/industry, and this embodiment is not further described;
the present embodiment improves the efficiency of obtaining a standard image by providing a prompt message including a guide (e.g., a manual guidance text and a manual guidance drawing) for displaying an operation on a display (which is a part of an ultrasonic diagnostic apparatus) and a voice for outputting the guided operation on a speaker (the voice data is stored in a predetermined memory).
Specific contents of displaying a guide to an operation and guiding a voice of the operation include:
instructing to adjust the sampling volume, the sampling angle, or prompting the physician as to which section of the vessel should be selected, or prompting the physician that the procedure requires pressurization, etc.
The selection process of the type of the output content (as in the above example) includes:
obtaining a currently scanned part according to the existing spectrum analysis result (for example, if the image corresponding to the current spectrum is a blood vessel or other organs according to image identification and judgment), searching and outputting guidance information (namely prompt information) about the selection of the blood vessel from a memory;
or when the marks of the reflected signals are dissimilarity frequency spectrums, outputting guide information (namely prompt information) for indicating the adjustment of the sampling volume and the sampling angle;
the principle that the image corresponding to the current frequency spectrum is obtained by image identification and judgment is a blood vessel (biomass) is a mature technology, and further description is not provided in this embodiment;
the basic idea of software design is to identify an instruction (output instruction information in this embodiment) corresponding to an output, and this embodiment is not further described.
Through the content, the requirements of different spectrum marks can be met reasonably, the operation fatigue of doctors is reduced (the spectrum is automatically analyzed), and the literacy of the doctors is improved (the guide information is output, and the training purpose is achieved).
Example 4
The present embodiment is intended to explain the preferred embodiment, and the purpose of embodiment 3 is to explain the principle of performing the corresponding operation based on the identification in the field of the ultrasonic diagnostic apparatus, while the present embodiment focuses on explaining the problems faced in the actual work.
The acquired reflection signal includes two cases, one is a real-time reception case (i.e., not freezing the currently displayed image), one is a freeze case (i.e., freezing the current image or images within a certain period of time), in which,
the main problem of real-time reception is how to automatically realize measurement (namely, automatically determine and analyze a normal frequency spectrum) by an ultrasonic diagnosis device; the main problem in a freeze situation is how to properly process the reflected signal acquired during this time period within a defined time.
The present embodiment provides the signal processing flow as shown in fig. 3:
s21, acquiring external operation to set receiving time, acquiring a reflected signal of the pulse signal within the receiving time, and marking the reflected signal according to a set frequency spectrum standard, wherein the marking comprises a normal frequency spectrum and a dissimilarity frequency spectrum;
s22, executing a corresponding processing instruction according to the mark of the reflected signal, wherein,
s221, when no normal frequency spectrum exists in all the marks, executing a prompt information output instruction or an instrument parameter adjusting instruction;
s222, when the normal frequency spectrum and the dissimilarity frequency spectrum exist in all the marks at the same time, executing a frequency spectrum analysis instruction to process a reflected signal corresponding to the normal frequency spectrum;
and S223, when only normal frequency spectrums exist in all the marks, executing a frequency spectrum analysis instruction to process the reflected signals corresponding to the normal frequency spectrums.
Wherein the external operation comprises setting a receiving time (which may be inputting a time period or pausing a current image, then extending forward from the current time and locking for a period of time, for example, 10 seconds) by a key; the reflected signal of the pulse signal in the receiving time is acquired and marked, and the following situations generally occur in the actual operation:
s221, a normal frequency spectrum does not exist, S222, a normal frequency spectrum and a dissimilarity frequency spectrum exist at the same time, and S223, when only a normal frequency spectrum exists;
in these three cases, the coping methods as described above are provided separately, and therefore, various problems encountered in the work in actual operation can be solved reasonably.
Example 5
The purpose of this example is to explain the preferred embodiment.
The frequency spectrum analysis instruction is used for processing the reflected signal to obtain corresponding biomass, the prompt information instruction is used for outputting operation prompt information, and the instrument parameter adjustment instruction is used for changing the operation parameters of the ultrasonic diagnosis equipment;
as illustrated in example 3, the use of spectral analysis instructions for processing the reflected signals to obtain the corresponding biomass is the fundamental principle of ultrasound diagnosis; the prompt information instruction is used for outputting a job prompt message;
the purpose of the instrument parameter adjusting instruction is to solve the limitation of manual operation, namely the reason that a proper frequency spectrum cannot be obtained is not manual misoperation but the problem of the instrument;
the solution idea is still to continue using spectrum identification, that is, if a suitable spectrum is not obtained for a long time (e.g. 1 hour) or multiple scans (5 times), the corresponding instrument parameter (e.g. probe output power, array element angle, etc.) is adjusted or the instrument is restarted if the instrument (i.e. diagnostic device) itself is considered to be abnormal.
By the embodiment, more solutions can be provided to solve the problem that the proper frequency spectrum cannot be acquired, and the efficiency of the ultrasonic diagnosis is improved.
Example 6
The present embodiment provides a signal processing system of an ultrasonic diagnostic apparatus as shown in fig. 4, which includes an acquisition module 1, configured to acquire a reflected signal of a pulse signal, and mark the reflected signal according to a set spectrum standard, where the mark includes a normal spectrum and a dissimilarity spectrum; and the processing module 2 is used for executing corresponding processing instructions according to the marks of the reflected signals.
The acquisition module is a normal ultrasonic receiver (which may be a part of the ultrasonic diagnostic equipment), and the processing module is a computing device (such as a CPU, a computer host, a server, etc.).
The signal processing system of the ultrasonic diagnostic apparatus of this embodiment may execute the signal processing method of the ultrasonic diagnostic apparatus described in embodiments 1 to 5, and for specific implementation, reference may be made to the above embodiments, and details are not described here again.
Example 7
The embodiment provides an ultrasonic diagnostic device, which comprises a signal receiver and a processor, wherein the signal receiver is used for acquiring a reflected signal of a pulse signal, and marking the reflected signal according to a set spectrum standard, and the marking comprises a normal spectrum and a dissimilarity spectrum; the processor is used for executing corresponding processing instructions according to the marks of the reflected signals.
The signal processing system of the ultrasonic diagnostic apparatus of this embodiment may execute the signal processing method of the ultrasonic diagnostic apparatus described in embodiments 1 to 5, and for specific implementation, reference may be made to the above embodiments, and details are not described here again.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A signal processing method of an ultrasonic diagnostic apparatus, characterized by comprising the steps of:
acquiring a reflection signal of a pulse signal, and marking the reflection signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum;
executing a corresponding processing instruction according to the mark of the reflected signal;
the step of marking the reflected signal according to a set spectral standard comprises:
selecting continuous reflection signals and calculating corresponding frequency difference values, judging whether the frequency difference values meet a threshold value, if so, marking the continuous reflection signals as normal frequency spectrums, otherwise, marking the continuous reflection signals as dissimilarity frequency spectrums;
the method further comprises the steps of:
acquiring external operation to set receiving time, acquiring reflection signals of pulse signals within the receiving time, and marking the reflection signals one by one according to set frequency spectrum standards;
correspondingly, the executing the corresponding processing instruction according to the mark of the reflection signal specifically includes:
when no normal frequency spectrum exists in all the marks, executing an output prompt information instruction or an instrument parameter adjusting instruction;
when a normal spectrum and a dissimilarity spectrum exist in all the marks at the same time, executing a spectrum analysis instruction to process a reflected signal corresponding to the normal spectrum;
and when only normal frequency spectrum exists in all the marks, executing a frequency spectrum analysis instruction to process the reflected signal corresponding to the normal frequency spectrum.
2. The signal processing method of an ultrasonic diagnostic apparatus according to claim 1, wherein the spectrum analysis instruction is used to process the reflected signal to obtain the corresponding biomass, the prompt information instruction is used to output a work prompt information, and the instrument parameter adjustment instruction is used to change an operation parameter of the ultrasonic diagnostic apparatus.
3. A signal processing system of an ultrasonic diagnostic apparatus, characterized by comprising:
the acquisition module is used for acquiring a reflected signal of the pulse signal and marking the reflected signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum;
the processing module is used for executing a corresponding processing instruction according to the mark of the reflected signal;
the acquisition module is specifically used for selecting continuous reflection signals, calculating corresponding frequency difference values, judging whether the frequency difference values meet a threshold value, marking the continuous reflection signals as normal frequency spectrums if the frequency difference values meet the threshold value, and otherwise, marking the continuous reflection signals as dissimilarity frequency spectrums;
the acquisition module is specifically used for acquiring external operation to set receiving time, acquiring reflection signals of pulse signals within the receiving time, and marking the reflection signals one by one according to a set frequency spectrum standard;
the processing module is used for executing an output prompt information instruction or an instrument parameter adjusting instruction when normal frequency spectrums do not exist in all the marks;
when a normal spectrum and a dissimilarity spectrum exist in all the marks at the same time, executing a spectrum analysis instruction to process a reflected signal corresponding to the normal spectrum;
and when only normal frequency spectrum exists in all the marks, executing a frequency spectrum analysis instruction to process the reflected signal corresponding to the normal frequency spectrum.
4. An ultrasonic diagnostic apparatus characterized by comprising a signal receiver and a processor, wherein,
the signal receiver is used for acquiring a reflected signal of the pulse signal and marking the reflected signal according to a set frequency spectrum standard, wherein the mark comprises a normal frequency spectrum and a dissimilarity frequency spectrum;
the processor is used for executing a corresponding processing instruction according to the mark of the reflected signal;
the step of marking the reflected signal according to a set spectral standard comprises:
selecting continuous reflection signals and calculating corresponding frequency difference values, judging whether the frequency difference values meet a threshold value, if so, marking the continuous reflection signals as normal frequency spectrums, otherwise, marking the continuous reflection signals as dissimilarity frequency spectrums;
the steps further include:
acquiring external operation to set receiving time, acquiring reflection signals of pulse signals within the receiving time, and marking the reflection signals one by one according to set frequency spectrum standards;
correspondingly, the executing the corresponding processing instruction according to the mark of the reflection signal specifically includes:
when no normal frequency spectrum exists in all the marks, executing an output prompt information instruction or an instrument parameter adjusting instruction;
when a normal spectrum and a dissimilarity spectrum exist in all the marks at the same time, executing a spectrum analysis instruction to process a reflected signal corresponding to the normal spectrum;
and when only normal frequency spectrum exists in all the marks, executing a frequency spectrum analysis instruction to process the reflected signal corresponding to the normal frequency spectrum.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102772226A (en) * | 2010-12-17 | 2012-11-14 | 深圳市理邦精密仪器股份有限公司 | Monitoring method capable of replaying fetal-heart Doppler audio signals |
| CN103431856A (en) * | 2013-08-30 | 2013-12-11 | 深圳市理邦精密仪器股份有限公司 | Method and device for selecting electrocardiogram lead in multiple lead synchronous electrocardiographic signals |
| CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
| CN107979987A (en) * | 2017-05-27 | 2018-05-01 | 北京悦琦创通科技有限公司 | Spectrum analysis method, apparatus and equipment and computer-readable recording medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102078202A (en) * | 2009-11-30 | 2011-06-01 | Ge医疗系统环球技术有限公司 | Method and ultrasonic imaging device for distinguishing artery and vein |
| CN102270264B (en) * | 2010-06-04 | 2014-05-21 | 中国科学院深圳先进技术研究院 | Physiological signal quality evaluation system and method |
| CN104622505B (en) * | 2013-11-13 | 2017-04-19 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic detecting system and method for intracranial blood flow |
| KR102251242B1 (en) * | 2014-11-26 | 2021-05-12 | 삼성전자주식회사 | Apparatus and Method for Computer Aided Diagnosis |
-
2018
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102772226A (en) * | 2010-12-17 | 2012-11-14 | 深圳市理邦精密仪器股份有限公司 | Monitoring method capable of replaying fetal-heart Doppler audio signals |
| CN103431856A (en) * | 2013-08-30 | 2013-12-11 | 深圳市理邦精密仪器股份有限公司 | Method and device for selecting electrocardiogram lead in multiple lead synchronous electrocardiographic signals |
| CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
| CN107979987A (en) * | 2017-05-27 | 2018-05-01 | 北京悦琦创通科技有限公司 | Spectrum analysis method, apparatus and equipment and computer-readable recording medium |
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