CN102499680B - Data real-time preprocessing method of electrical impedance imaging - Google Patents
Data real-time preprocessing method of electrical impedance imaging Download PDFInfo
- Publication number
- CN102499680B CN102499680B CN 201110313839 CN201110313839A CN102499680B CN 102499680 B CN102499680 B CN 102499680B CN 201110313839 CN201110313839 CN 201110313839 CN 201110313839 A CN201110313839 A CN 201110313839A CN 102499680 B CN102499680 B CN 102499680B
- Authority
- CN
- China
- Prior art keywords
- data
- imaging
- current
- image data
- electrical impedance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
The invention discloses a data real-time preprocessing method of electrical impedance imaging. In the method, characteristics of current acquired data are analyzed in combination with acquired normal data by using a correlation analysis method. The method comprises the following steps of: if current data is judged to be full interference data, performing no processing or imaging; and if the current data is judged to be stable data which is different from the acquired data, performing factor correction processing and imaging. As tested, when the electrical impedance imaging is monitored in real time, body movement interference of a tested person can be effectively suppressed and the quality of an electrical impedance image and the continuity of monitoring are improved.
Description
Technical field
The invention belongs to the Review of Electrical Impedance Tomography field, be specifically related to a kind of data real-time preprocessing method of electrical impedance imaging.
Background technology
Review of Electrical Impedance Tomography is by being placed in the electrode around measured's body surface, real-time continuous ground image data, and in conjunction with image data, utilize certain formation method, reconstruct electrical impedance distribution image or the impedance variation of inside of human body.Therefore, effective and stable image data is the important foundation of electrical impedance imaging.
The inevitable body of measured is moving to be disturbed, and has had a strong impact on the quality of electrical impedance images but in actual applications.And due to the particularity of Review of Electrical Impedance Tomography, the moving interference of this body can't utilize conventional signal processing technology to eliminate.Even the measured recovers quiescent condition, it is stable that image data is recovered, and disturbs still to exist, and still there is serious pseudo-shadow in image.The result that causes is that moving interference of body flooded normal image data, and the important electrical impedance of some of inside of human body changes and possibly can't in time be reflected by electrical impedance images, is unfavorable for clinical expansion and the application of electrical impedance imaging.
Therefore, this type of body is moving to be disturbed in order to eliminate, and need to a kind ofly can judge interfering signal, eliminate interference effect, the simple and real-time preprocess method of active data.
Summary of the invention
Defective or deficiency for the Review of Electrical Impedance Tomography existence, the object of the invention is to, a kind of data real-time preprocessing method of electrical impedance imaging is provided, and the method can real-time judge and is processed the moving interfering signal of body, avoids the moving interfering signal of body to flood existing information in normal data.
In order to realize above-mentioned task, the present invention adopts following technical solution:
A kind of data real-time preprocessing method of electrical impedance imaging is characterized in that, the method in conjunction with the normal data that has gathered, is utilized the method for correlation analysis in to real-time monitoring, analyzes the characteristic of current image data; If current image data is stable data, but be in different baseline values from image data, utilize the factor correction method to process and imaging.
Specifically operation according to the following steps:
The normal data that 1) will gather and the data of current collection are carried out correlation analysis, judge the characteristic of current image data by correlation coefficient; Decision method is:
Suppose m (t
0) be the image data of current time, m (t
0-1) be the front normal data that has once gathered, both correlation coefficienies are R (t
0, t
0-1);
If the R value greater than 0.95, judges that current image data is valid data, and carries out next step imaging processing;
If the R value less than 0.95, is judged current collection and is complete interfering data, do not carry out imaging processing;
When image data is improper, does not stop data acquisition, and continue to analyze the coefficient R (t of front and back two secondary data
0+ i, t
0+ i-1), and i=1,2,3..., until the R value is greater than 0.95, data enter another steady statue;
2) if the stable data that current data is judged as from image data is different revises by the factor correction method data of recovering stable, that is:
Definition a=m (t
0-1)/m (t
0+ i) be correction factor vector, to t
0The stable data m (t that+i gathers constantly
0+ i+j) utilize correction factor a to proofread and correct
J=1 wherein, 2,3... uses at last
Data are carried out imaging.
The present invention compared with prior art, the technique effect that brings is: at first, come the characteristic of analytic signal by finding the solution correlation coefficient between data, thereby can effectively determine interfering signal by Simple fast.Secondly, by the defining factor updating vector, the Data correction that recovery is stable disturbs the existing information of flooding in normal data to being in same baseline values with former normal data thereby avoid body to move.
Description of drawings
Fig. 1 is the moving schematic diagram that disturbs of the body of electrical impedance imaging data;
Fig. 2 is the correlation analysis of electrical impedance imaging data;
Fig. 3 is the theory diagram of the data real-time preprocessing method of electrical impedance imaging;
Fig. 4 is electrical impedance images after pretreatment, and wherein, left figure is the imaging results of normal image data, and middle graph is that after the moving interference of body, data recover stable, but still there is serious pseudo-shadow in image; Right figure is the imaging results after factor correction.
The embodiment that provides below in conjunction with accompanying drawing and inventor is described in further details the present invention.
The specific embodiment
As shown in Figure 1, when electrical impedance imaging was subject to the moving interference of body, data were submerged fully.Even data return to steady statue, its baseline values is different from original data, still can not carry out correct imaging.Dependency between Analysis interference data and stable data as shown in Figure 2, stablize as can be known the higher R of dependency＞0.95 between data, and the dependency of stablizing between data and interfering data is relatively poor.Therefore, it is feasible utilizing the characteristic of correlation coefficient decision data.
The pretreated flow process of data as shown in Figure 3.In the process of data acquisition, at first judge the effectiveness of data.Calculate current data m (t
0) and former frame data m (t
0-1) coefficient R (t
0, t
0-1).If R is (t
0, t
0-1)＞0.95, decision data are valid data, and carry out next step imaging processing; If R is (t
0, t
0-1)＜0.95, decision data are interfering data, do not carry out imaging processing.Because m is (t
0-1) be valid data, it is carried out labelling, as the parameter of the vector of the calculation correction factor subsequently a.After this, continue the coefficient R (t of the current image data of observation and its former frame data
0+ i, t
0+ i-1), and i=1,2,3... is until R＞0.95 illustrates that data enter another steady statue.
When data are recovered steady statue, still effectively imaging (still there is serious pseudo-shadow in image, as shown in Fig. 4 middle graph).Therefore, utilize the factor correction method to carry out data correction.Definition a=m (t
0-1)/m (t
0+ i) be correction factor vector.To t
0The stable data m (t that+i gathers constantly
0+ i+j) utilize correction factor a to proofread and correct
J=1 wherein, 2,3....Use at last
Data are carried out imaging.The effect of proofreading and correct is as shown in Fig. 4 (right figure).
Claims (1)
1. the data real-time preprocessing method of an electrical impedance imaging, is characterized in that, the method in conjunction with the normal data that has gathered, is utilized the method for correlation analysis in real-time monitoring, analyzes the characteristic of current image data; If current image data is stable data, but be in different baseline values from image data, utilize the factor correction method to process and imaging, specifically operation according to the following steps:
The normal data that 1) will gather and the data of current collection are carried out correlation analysis, judge the characteristic of current image data by correlation coefficient; Decision method is:
Suppose
m(t
0) be the image data of current time, wherein, t
0Be current time,
m(t
0-1) be the front normal data that has once gathered, both correlation coefficienies are R (t
0, t
0-1);
If the R value greater than 0.95, judges that current image data is valid data, and carries out next step imaging processing;
If the R value less than 0.95, is judged current collection and is complete interfering data, do not carry out imaging processing;
When image data is improper, does not stop data acquisition, and continue to analyze the coefficient R (t of front and back two secondary data
0+ i, t
0+ i-1), i=1,2,3 ..., until the R value is greater than 0.95, data enter another steady statue;
2) if the stable data that current data is judged as from image data is different revises by the factor correction method data of recovering stable, that is:
Definition
a=
m(t
0-1)/
m(t
0+ i) be correction factor vector, to t
0The stable data that+i gathers constantly
m(t
0+ i+j) utilize correction factor
aProofread and correct
J=1 wherein, 2,3 ..., use at last
Data are carried out imaging.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110313839 CN102499680B (en) | 2011-10-17 | 2011-10-17 | Data real-time preprocessing method of electrical impedance imaging |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110313839 CN102499680B (en) | 2011-10-17 | 2011-10-17 | Data real-time preprocessing method of electrical impedance imaging |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102499680A CN102499680A (en) | 2012-06-20 |
| CN102499680B true CN102499680B (en) | 2013-06-05 |
Family
ID=46211862
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110313839 Expired - Fee Related CN102499680B (en) | 2011-10-17 | 2011-10-17 | Data real-time preprocessing method of electrical impedance imaging |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102499680B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6987994B1 (en) * | 1991-09-03 | 2006-01-17 | Datex-Ohmeda, Inc. | Pulse oximetry SpO2 determination |
| CN101527034A (en) * | 2008-03-07 | 2009-09-09 | 深圳迈瑞生物医疗电子股份有限公司 | Method and device for correlating adaptive frames |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AUPP711998A0 (en) * | 1998-11-13 | 1998-12-10 | Micromedical Industries Limited | Wrist mountable monitor |
| JP2008264226A (en) * | 2007-04-20 | 2008-11-06 | Sensor:Kk | Device for measuring activity (degree of excitement) of sympathetic nerve |
| US9037227B2 (en) * | 2009-09-01 | 2015-05-19 | Roman A. Slizynski | Use of impedance techniques in breast-mass detection |
-
2011
- 2011-10-17 CN CN 201110313839 patent/CN102499680B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6987994B1 (en) * | 1991-09-03 | 2006-01-17 | Datex-Ohmeda, Inc. | Pulse oximetry SpO2 determination |
| CN101527034A (en) * | 2008-03-07 | 2009-09-09 | 深圳迈瑞生物医疗电子股份有限公司 | Method and device for correlating adaptive frames |
Non-Patent Citations (1)
| Title |
|---|
| JP特开2008-264226A 2008.11.06 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102499680A (en) | 2012-06-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104330471B (en) | Lamb wave time-varying probability model monitoring method for aviation structure damage | |
| CN103487729A (en) | Electrical equipment defect detection method based on fusion of ultraviolet video and infrared video | |
| CN103345637A (en) | On-line detecting system and method of hydrophobicity of composite insulator of electric transmission line | |
| CN103428409B (en) | A kind of vedio noise reduction processing method and processing device based on fixed scene | |
| CN105681663A (en) | Video jitter detection method based on inter-frame motion geometric smoothness | |
| CN102073676A (en) | Method and system for detecting network pornography videos in real time | |
| CN102236887A (en) | Motion-blurred image restoration method based on rotary difference and weighted total variation | |
| CN105374026A (en) | A maritime infrared small target detection method suitable for coastal defense monitoring | |
| CN106225681A (en) | A kind of Longspan Bridge health status monitoring device | |
| CN103093428A (en) | Space-time united image sequence multi-scale geometric transformation denoising method | |
| CN106131022A (en) | A kind of network cooperating attacks storm origin detection method and device | |
| CN105469428B (en) | A kind of detection method of small target based on morphologic filtering and SVD | |
| CN102499680B (en) | Data real-time preprocessing method of electrical impedance imaging | |
| CN103489201A (en) | Method for tracking target based on motion blur information | |
| CN103413138A (en) | Method for detecting point target in infrared image sequence | |
| CN107367362B (en) | Composite insulator fatigue rupture detection method based on image procossing | |
| CN103487844B (en) | Intelligent coronal mass emission (CME) event observation procedure | |
| Shiwei et al. | An improved image enhancement algorithm based on fuzzy sets | |
| CN104215339B (en) | Wavefront reconstruction system and wavefront reconstruction method based on continuous far fields | |
| CN103810472A (en) | Method for pupil position filtering based on movement correlation | |
| CN105023248B (en) | A kind of video frequency motion target extracting method of low signal-to-noise ratio | |
| CN105426811A (en) | Crowd abnormal behavior and crowd density recognition method | |
| CN104361610A (en) | System for simultaneously conducting detecting and tracking on basis of cross coupling | |
| WANG et al. | An improved wavelet threshold function and its application in image edge detection | |
| Lin et al. | Unrolling a rain-guided detail recovery network for singleimage deraining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130605 Termination date: 20161017 |