KR101225390B1 - Pulse analyzing system using optical coherence tomography for oriental medical and the method - Google Patents

Abstract

The pulse system according to the present invention includes: optical living tomography means for photographing pulsations of a predetermined part of a living body; It is characterized in that it comprises pulsation extraction means for generating pulsation data by extracting and analyzing the pulsation image photographed by the photobiographic tomography means.
Pulse system of the present invention and pulsation extraction method using the same can extract and quantify pulse data, such as the speed, pulse force, pulse rate of the pulse through the radial artery and optical signal tomography and signal processing.

Description

Pulse system and pulsation extraction method using the same {PULSE ANALYZING SYSTEM USING OPTICAL COHERENCE TOMOGRAPHY FOR ORIENTAL MEDICAL AND THE METHOD}

The present invention relates to a pulsation system and a pulsation extraction method using the same, and in particular, a pulsation for extracting and quantifying pulse data such as speed, pulse force, and pulse rate of a pulse by photographing the radial artery using an optical biopsy tomography device and performing signal processing. It relates to a system and a pulsation extraction method using the same.

Recently, the market for pulsed pulses is increasing due to the social atmosphere of well-being and oriental medicine doctors also feel the necessity of developing pulsed medical devices.

Conventionally, instruments for measuring arterial cancer, pulmonary blood flow, and body surface fluctuations in the pulsating region using pressure sensors, optical sensors, condenser microphones, and the like have been used. Although pressure sensors are most widely developed, they do not form a large market due to differences from traditional pulse detection methods. Optical sensors and impedance sensors are used for cardiovascular monitoring when ECG is not appropriate. There is a disadvantage that it is difficult to secure reproducibility.

Technical problem to be solved by the present invention is to shoot the radial artery using an optical tomography apparatus and pulse processing system for extracting and quantifying pulse data such as speed, pulse force, pulse rate of the pulse through the signal processing and pulsation extraction method using the same To provide.

Technical problems to be achieved in the present invention are not limited to the above-mentioned technical problems, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.

The pulsation system according to the present invention for solving the above technical problem comprises: optical living tomography means for photographing a pulsation of a predetermined part of a living body; It is characterized in that it comprises pulsation extraction means for generating pulsation data by extracting and analyzing the pulsation image photographed by the photobiographic tomography means.

Here, the optical living tomography means is characterized by applying a time domain optical coherence tomography (Frequency domain-OCT) or a frequency domain optical interference coherence tomography (Frequency domain-OCT).

The pulsation extraction means may include: an image processing unit configured to convert the photographed pulsation image into a tomographic image, and selectively extract an image region from the tomographic image to remove normalization and noise according to an output size of the extracted image; A layer separator which separates the image from which the normalization and the noise have been removed by the image processor for each layer according to depth; A peak detector for extracting a MAC signal by detecting a peak value in the image separated for each layer according to the depth; A pulse wave generator for generating an average pulse waveform by purifying the pulse signal extracted by the peak detector; It is characterized in that it comprises a data generator for generating pulsation data from the pulse wave generated by the pulse wave generator.

Here, the pulsation data is characterized by including the width, height, area, tissue density, pulse force and number of pulses of the pulse wave.

In this case, the layer separator is characterized in that it is separated into a partial, middle, and acupuncture signal according to the peak depth.

In this case, the image photographed by the photobiographic tomography means is characterized in that the M-mode over time or the B-mode image according to the two-dimensional image.

In addition, the pulsation extraction method using a pulsation system according to the present invention for solving the technical problem, the step of taking a pulsation of a predetermined portion of the living body and converting it to a tomographic image; Selectively extracting an image region from the tomographic image and performing normalization according to an output size of the extracted image; Removing noise on the normalized image; Separating the noise-free image for each layer according to the peak depth; Extracting a MAC signal by detecting a peak value in the image separated for each layer; Generating an average pulse waveform by differentiating the extracted pulse signal; It is characterized in that it comprises the step of generating pulsation data from the generated pulse waveform.

Here, the photographed tomography image is characterized in that the M-mode over time or the B-mode image over a two-dimensional image.

Here, in the step of separating each layer according to the depth is characterized in that it is separated into a negative, medium and acupuncture signal according to the peak depth.

Here, in the step of separating by each layer is characterized in that it detects and filters the maximum value of each layer after separating each layer.

Here, the pulsation data in the step of generating the pulsation data from the pulse wave is characterized by including the width, height, area, tissue density, pulse force and the number of pulses of the pulse wave.

As described above, the pulse system of the present invention and the pulsation extraction method using the same are extracted and quantified pulse data such as the speed, pulse force, pulse rate of the pulse by photographing the radial artery using a photobiographic tomography device and processing the signal. can do.

In addition, in the case of the photobiographic tomography apparatus, the lateral resolution may be varied according to the lens of the sample stage, so that a high resolution of about 1 micrometer may be realized.

1 is a view schematically showing the configuration of a pulsation system according to the present invention according to the present invention.
Figures 2a and 2b schematically show the structure of the photobiographic tomography means of the present invention.
3A to 3E are diagrams showing M-mode photographing pulsation results using the pulse system according to the present invention.
4 is a diagram showing a B-mode photographing pulsation result using a pulsation system according to the present invention.
5 is a view showing a procedure for the pulsation extraction method using a pulsation system according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, in describing in detail the operating principle of the preferred embodiment of the present invention, if it is determined that the detailed description of the related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

The same reference numerals are used for portions having similar functions and functions throughout the drawings.

In addition, in the entire specification, when a part is referred to as being 'connected' to another part, it may be referred to as 'indirectly connected' not only with 'directly connected' . Also, to include an element does not exclude other elements unless specifically stated otherwise, but may also include other elements.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a view schematically showing the configuration of a pulsation system according to the present invention according to the present invention. As shown in FIG. 1, pulsation data is generated by extracting and analyzing pulsating images photographed by the photobiographic tomography means 100 for photographing the pulsation of a predetermined part of the living body and the photobiotic tomography means 100. Pulsation extraction means 200 is included.

2 is a view schematically showing the structure of the photobiographic tomography means of the present invention. As shown in FIG. 2, the optical biopsy tomography means 100 can photograph the radial artery in a non-contact manner and can change the lateral resolution according to the lens of the sample stage, thereby realizing a high resolution of up to about 1 micrometer. In the case of shooting pulsation, pulsation can be expressed in high resolution with one-dimensional, two-dimensional and three-dimensional real-time shooting. That is, the image photographed by the photobiographic tomography means 100 includes an M-mode over time or a B-mode image over two-dimensional images.

The optical living tomography means 100 having such a high resolution spatial resolution preferably employs a time domain optical coherence tomography means or a frequency domain optical coherence tomography means. Do. Since the photobiographic tomography means 100 uses a broadband light source and a point scanning method, at least one scanner is required.

In the time-domain optical coherence tomography means (a) of FIG. 2, the light generated from the broadband light source is branched by the light splitter and incident on the reference mirror and the inspection object. When the light incident on the reference mirror and the inspection target is reflected and returned to the optical splitter, when the two paths have the same path, an interference signal is generated. After detecting this with a photodiode, it is subjected to A / D conversion and demodulation and then deep. Acquire an image signal for. At this time, in order to obtain a two-dimensional image, the x-z scanning should be performed simultaneously using mechanical movements on the reference mirror and the scanner.

The frequency domain optical coherence tomography means (b) of FIG. 2, like the time domain optical coherence coherence tomography apparatus, the light generated from the broadband light source is branched by the optical splitter and incident on the reference mirror and the inspection object. The light incident on the reference mirror and the inspection object is reflected and merged again by the optical splitter. The combined light is detected through a spectroscope and Fourier transformed to obtain an image signal of depth. The frequency domain optical coherence coherence tomography apparatus acquires a two-dimensional image using a scanner in the x direction without a scanner in the z direction.

The pulsation extraction means 200 includes an image processor 201, a layer separator 202, a peak detector 203, a pulse wave generator 204, and a pulsation data generator 205.

3A to 3E are diagrams illustrating M-mode photographing pulsation results using a pulsation system according to the present invention.

As shown in FIG. 3A, the radial artery part is a one-dimensional image (M-mode scan) result and the graph shows the light intensity distribution result for each depth.

The image processor 201 converts the photographed pulsating image into a tomographic image, and selectively extracts an image region from the tomographic image to remove normalization and noise according to the output size of the extracted image.

In more detail, the one-dimensional image (M-mode) of the radial artery part photographed by the photobiographic tomography means is converted into a tomographic image and then the unnecessary image area is removed. In addition, the output intensity is normalized in the tomographic image, and noise is removed through a median filter in order to reduce a case where peak detection is not performed well.

As shown in FIG. 3B, the layer separator 202 separates the image from which the normalization and the noise are removed by the image processor 201 for each layer according to the depth. Here, each layer is classified into sub, middle, and saliva according to the depth. That is, it is possible to measure the change in biological tissue for each depth, it is possible to measure the change in the pulse wave according to the depth.

More specifically, the separation according to depth detects the positions of the low peaks for each layer and the area between the positions of the low peaks is separated into each layer. Thus, the positions of the maximum magnitudes for the area of each layer separated follow the pulse wave.

As shown in FIG. 3C, the pig detector 203 extracts a MAC signal by band-pass filtering through a band pass filter on an image separated for each layer according to the depth.

As shown in FIG. 3D, the pulse wave generator 204 may differentiate the pulse signal extracted by the peak detector 203 to generate an average pulse waveform. Here, the average pulse waveform for each of the negative, medium, and needle angles is obtained from the extracted pulse signal.

As shown in FIG. 3E, the pulsation data generator 205 generates pulsation data from the pulse waveform generated by the pulse wave generator 204. Here, the pulsation data includes the width, height, area, tissue density, pulse force and number of pulses of the pulse wave.

More specifically, the pulsation data is generated by the traditional pulsation method of Oriental medicine, and depends on the speed of the Mac, arrhythmia, the size of the Mac, the pulse force, and the shape of the Mac. The speed of the Mac is divided into slow, ji, unknown, Wan, fine, and sac, and the size of the Mac is divided into weak, beautiful, three, about, Wan, large (Hong), the pulse force is weak from the strength of the huh, normal In the case of arrhythmia, there are three types of veins.

4 is a diagram showing a B-mode photographing pulsation result using the pulse system according to the present invention. (A) of FIG. 4 acquires a signal over time in a two-dimensional image (B-mode); (d) is an image of pulsation according to depth, (e) is a number of pulsation image pulsations viewed from the top, (f) is a graph showing the height of the pulsation according to the two-dimensional scan distance. Here, the B-mode photographing pulsation results can be seen that the maximum pulsation appears in the vicinity of 3 mm.

The B-mode imaging pulsation data of FIG. 4 is generated in the same manner as that of generating the M-mode imaging pulsation data of FIG. 3. Here, a detailed description of the pulsation data generation in the B-mode will be omitted with reference to FIG.

5 is a view showing a procedure for the pulsation extraction method using a pulsation system according to the present invention. As shown in FIG. 5, in the pulsation extraction method using the pulsation system according to the present invention, the pulsation of a predetermined part of the living body is photographed and converted into a tomographic image (S501). Here, the photographed tomography image may apply a M-mode over time or a B-mode image over a two-dimensional image.

In operation S502, an image region may be selectively extracted from the tomographic image, and normalization may be performed according to an output size of the extracted image.

In more detail, the one-dimensional image (M-mode) or the two-dimensional image (B-mode) of the radial artery part photographed by the photobiographic tomography means is converted into a tomographic image, and then unnecessary image areas are removed. Then, normalization of the output intensity is performed in the tomographic image.

Next, a step of removing noise on the normalized image is performed (S503). In other words, the noise is removed through a median filter to reduce the case where peak detection is not performed well.

Subsequently, the step of separating the noise-removed image for each layer according to depth is performed (S504). Here, each layer is classified into sub, middle, and saliva according to the depth. That is, it is possible to measure the change in biological tissue for each depth, it is possible to measure the change in the pulse wave according to the depth.

More specifically, the separation according to depth detects the positions of the low peaks for each layer and the area between the positions of the low peaks is separated into each layer. Thus, the positions of the maximum magnitudes for the area of each layer separated follow the pulse wave.

In operation S505, the MAC signal is extracted by detecting a peak value in the image separated for each layer. Here, the MAC signal is extracted by band-pass filtering through a band pass filter in the image separated for each layer according to the depth.

Subsequently, an average pulse waveform is generated by differentiating the extracted pulse signal (S506). Here, the average pulse waveform for each of the negative, medium, and needle angles is obtained from the extracted pulse signal.

Next, a step of generating pulsation data from the generated pulse waveform is performed (S507). That is, pulsation data is generated by removing an error pulse from the pulse waveform, performing a pulse peak and width analysis, extracting a pulse and region, and counting a pulse. Here, the pulsation data includes the width, height, area, tissue density, pulse force and number of pulses of the pulse wave.

More specifically, the pulsation data is generated by the traditional pulsation method of Oriental medicine, and depends on the speed of the Mac, arrhythmia, the size of the Mac, the pulse force, and the shape of the Mac. The speed of the Mac is divided into slow, ji, unknown, Wan, fine, and sac, and the size of the Mac is divided into weak, beautiful, three, about, Wan, large (Hong), the pulse force is weak from the strength of the huh, normal In the case of arrhythmia, there are three types of veins.

While the present invention has been particularly shown and described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, Of course, this is possible. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the equivalents as well as the claims that follow.

Description of the Related Art
100 --- photobiographies
200 --- pulsation extraction means
201 --- Image Processing Unit
202 --- Layer Separation
203 --- Peak detector
204 --- pulse wave generator
205 --- pulsation data generator

Claims (11)

Optical biological tomography means for photographing pulsations of predetermined portions of the living body;
Pulsation extraction means for generating pulsation data by extracting and analyzing the pulsation image photographed by the photobiographic tomography means,
The pulsation extraction means may include: an image processing unit converting the photographed pulsation image into a tomographic image, and selectively extracting an image region from the tomographic image to remove normalization and noise according to an output size of the extracted image; A layer separator for separating the normalized and noise-removed images by the image processor for each layer according to the depth of the peak; A peak detector for extracting a MAC signal by detecting a peak value in the image separated for each layer according to the depth; A pulse wave generator for generating an average pulse waveform by purifying the pulse signal extracted by the peak detector; And a pulsation data generator for generating pulsation data from the pulse wave generated by the pulse wave generator.
delete The method of claim 1,
The pulsation data includes pulse width, height, area, tissue density, pulse force, number of pulses, and the like.
The method of claim 1,
The layer separation unit is characterized in that the pulse separation according to the peak, middle, and acupuncture signal according to the depth.
The method of claim 1,
The photobiographic tomography means
A pulsed system characterized by applying a time domain optical coherence tomography means (Frequency domain-OCT) or a frequency domain optical interference coherence tomography means.
The method of claim 1,
And the image photographed by the photobiographic tomography means is a M-mode over time or a B-mode image over two-dimensional images.
Photographing pulsations of a predetermined portion of the living body and converting the same into a tomographic image;
Selectively extracting an image region from the tomographic image and performing normalization according to an output size of the extracted image;
Removing noise on the normalized image;
Separating the noise-free image for each layer according to the peak depth;
Extracting a MAC signal by detecting a peak value in the image separated for each layer;
Generating an average pulse waveform by differentiating the extracted pulse signal;
Pulsating extraction method using a pulsation system comprising the step of generating pulsating data from the generated pulse waveform.
8. The method of claim 7,
The photographed tomography image is a pulsation extraction method using a pulse system, characterized in that the M-mode or B-mode image according to the two-dimensional image over time.
8. The method of claim 7,
Pulsation extraction method using a pulse system, characterized in that for separating each layer according to the depth in accordance with the peak depth, medium and acupuncture signal.
8. The method of claim 7,
The pulsation extraction method using a pulsation system, characterized in that the step of separating by each layer comprising the step of separating and detecting the maximum value of each layer after each layer.
8. The method of claim 7,
In the step of generating pulsation data from the pulse wave, the pulsation data includes pulse width, height, area, tissue density, pulse force, number of pulses, and the like.

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