KR20170011483A - Apparatus and method for detecting living body signal - Google Patents
Apparatus and method for detecting living body signal Download PDFInfo
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- KR20170011483A KR20170011483A KR1020150104174A KR20150104174A KR20170011483A KR 20170011483 A KR20170011483 A KR 20170011483A KR 1020150104174 A KR1020150104174 A KR 1020150104174A KR 20150104174 A KR20150104174 A KR 20150104174A KR 20170011483 A KR20170011483 A KR 20170011483A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
Abstract
An apparatus and a method for detecting a living body signal are disclosed. The biological signal detecting apparatus includes a forming unit for forming a two-dimensional data array in association with a subject, a ranking determining unit for prioritizing a plurality of data vectors constituting the two-dimensional data array, An array generating unit for determining a target data vector of n (n is at least one natural number) among the plurality of data vectors and generating a target data array composed of the n target data vectors; And a processor for detecting the bio-signals of the subject using the data array.
Description
An embodiment of the present invention is a biomedical signal detecting apparatus and method for generating a target data array based on a two-dimensional data array associated with a subject and detecting the biomedical signal of the subject using the target data array .
A conventional bio-signal detection apparatus using an ultra-wideband impulse radar module is configured to arrange 256 or more vector signals collected from a receiving antenna at the same time in time order, Band pass filtering, fast Fourier transform (FFT) on a plurality of vector signals, and a process of detecting the peak value of the sum of amplitudes for each frequency.
In this process, a lot of resources are needed to perform the calculation of the electronic calculator for the bandpass filtering and the fast Fourier transform for multiple vectors.
In order to commercialize the bio-signal detection apparatus, there is a demand for realizing the same performance by using a less expensive small-sized electronic calculator. In order to do so, it is necessary to improve the algorithm so as to reduce the load on the calculation process.
An embodiment of the present invention is characterized in that a plurality of data vectors in a two-dimensional data array associated with a subject are selectively included according to a priority order to generate a target data array and the target data array The object of the present invention is to reduce the number of data vectors used for detecting a living body signal by detecting a signal, thereby reducing the load and increasing the speed in the calculation process for detecting the living body signal.
A biological signal detecting apparatus according to an embodiment of the present invention includes a forming unit that forms a two-dimensional data array in association with a subject, a ranking unit that prioritizes a plurality of data vectors constituting the two- A target data vector of n (n is at least one natural number) among the plurality of data vectors according to the priority, and generates a target data array composed of the n target data vectors An array generating unit, and a processor for detecting a bio-signal of the subject using the target data array.
Wherein the forming unit obtains the one-dimensional UWB impulse signal received from the subject for an arbitrary unit time and forms the two-dimensional basic data array by aligning the one-dimensional UWB impulse signal in chronological order .
The forming unit may extract a predetermined number of the one-dimensional ultra-wideband impulse signals, which are arranged in chronological order, in consideration of the type of the detected biological signals, and form the two-dimensional data array.
The ranking unit may band-pass filter the plurality of data vectors, calculate a deviation or a standard deviation for each of the band-pass filtered data vectors, and prioritize each data vector based on the calculation result .
The array generator may generate the target data array by fast Fourier transforming the n target data vectors and combining frequency-specific amplitudes of the fast Fourier transform results.
The living body signal detecting apparatus may further include a memory for storing instructions executable by the target data array to detect the living body signal of the subject.
According to an embodiment of the present invention, there is provided a biological signal detection method comprising: forming a two-dimensional data array in association with a subject; prioritizing a plurality of data vectors constituting the two-dimensional data array; Determining a target data vector of n (n is one or more natural numbers) among the plurality of data vectors according to the priority, generating a target data array composed of the n target data vectors And detecting a bio-signal of the subject using the target data array.
According to an embodiment of the present invention, some data vectors in a two-dimensional data array associated with a subject are selectively included according to a priority order to generate a target data array, and the target data array It is possible to reduce the number of data vectors used for detecting a living body signal and reduce the load and increase the speed in the calculation process for detecting a living body signal.
FIG. 1 is a block diagram of a biological signal detection apparatus according to an embodiment of the present invention. Referring to FIG.
2 is a view for explaining an example of a method of detecting a living body signal in the living body signal detecting apparatus according to an embodiment of the present invention.
FIG. 3 is a block diagram of a reception time binarization sampler of an ultra-wideband impulse radar in a biological signal detection apparatus according to an embodiment of the present invention. Referring to FIG.
4 and 5 are views illustrating an example of receiving a signal reflected from an object in the bio-signal detection apparatus according to an embodiment of the present invention.
6 is a diagram illustrating an example of data received by the bio-signal detection apparatus according to an embodiment of the present invention.
FIG. 7 is a view showing an example of a data array formed using data received by the bio-signal detecting apparatus according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating an example of a filtering result and a fast Fourier transform result of a data vector in a data array in the bio-signal detection apparatus according to an embodiment of the present invention.
9 is a flowchart illustrating a bio-signal detection method according to an embodiment of the present invention.
Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings and accompanying drawings, but the present invention is not limited to or limited by the embodiments.
FIG. 1 is a block diagram of a biological signal detection apparatus according to an embodiment of the present invention. Referring to FIG.
1, the
The forming
The rank determiner 103 may prioritize a plurality of data vectors constituting the two-dimensional data array. At this time, the
The
The
The
2 is a view for explaining an example of a method of detecting a living body signal in the living body signal detecting apparatus according to an embodiment of the present invention.
Referring to FIG. 2, the bio-signal detection apparatus acquires a one-dimensional ultra-wideband impulse signal (for example, 256 impulse signals) for an arbitrary unit time and arranges them in chronological order. Dimensional basic data array (201). At this time, the bio-signal detection apparatus may form a basic data array including an ultra-wideband impulse signal (for example, 50 impulse signals) corresponding to a minimum time for detecting a biological signal.
The bio-signal detection apparatus performs band-pass filtering on each data vector constituting a data array corresponding to a unit time, performs deviation or standard deviation calculation on the band-passed data vector, And arbitrary priorities can be determined (203).
The bio-signal detection apparatus determines an arbitrary number of data vectors, performs a fast Fourier transform on a data vector corresponding to the number of data vectors according to the priority order, and performs frequency-dependent amplitudes of the fast Fourier transform results in an arbitrary manner May be performed to obtain a one-dimensional vector or one or more data arrays.
The living body signal detecting apparatus may detect the living body signals of at least one subject from the data array acquired in the combining step (205).
As a result, the bio-signal detection apparatus according to an embodiment of the present invention selects an effective vector signal after receiving an impulse signal, applies a band-pass filter for an optimal time length, and finally performs a fast Fourier transform (For example, 10 or less). Thus, the biological signal detection apparatus minimizes the calculation load of the electronic calculation device, and can detect the biological signal in real time while using the electronic calculation device of a relatively low specification. Further, when the living body signal detecting apparatus is commercialized, the same performance can be realized by using a small-sized, compact electronic calculator.
FIG. 3 is a block diagram of a reception time binarization sampler of an ultra-wideband impulse radar in a biological signal detection apparatus according to an embodiment of the present invention. Referring to FIG.
3, an ultra-wideband impulse radar in a living body signal detection apparatus radiates (or sends) a transmission (Tx) signal (for example, an ultra-wideband impulse signal) through a transmission antenna once, (Rx) signal reflected from the receiving antenna through the receiving antenna. At this time, the UWB impulse radar can receive the received signal at different time points depending on the distance.
The bio-signal detection apparatus measures a time difference between a transmission time point at which a transmission signal is radiated and a reception time point at which a reception signal is received, and calculates a difference between the transmission antenna position and the The distance D between the objects that reflect the transmitted signal can be calculated.
Where D is the distance between the biological signal detection device and the object, C is the speed of light,
An ultra-wideband impulse radar can be configured to include multiple samplers for receive time binarization, for example, 256 samplers. Here, the time interval between the samplers of the reception time binarization sampler can be the most important part of the transmission / reception signal processing performance and can be kept constant in a circuit.
The temporal resolution between 256 samplers in an ultra-wideband impulse radar may be, for example, about 27 psec and may have a resolution of about 4 mm when converted to a distance using Equation (1). Therefore, a biological signal detecting apparatus including an ultra-wideband impulse radar can measure a distance with an object of 4 mm resolution for an object within 1.024 m.
On the other hand, if the radio wave signal is not covered by an object at a distance closer to the transmission antenna, the biological signal detection apparatus can receive signals reflected by a plurality of objects by different samplers can do.
As shown in Fig. 5, a biological signal detecting apparatus using an ultra-wideband impulse radar detects a change of a fuselage caused by a heart or respiration by changing a distance between a living body signal detecting apparatus and a fuselage body at a predetermined interval (for example, 10 msec ~ 1,000 msec) to calculate the heart rate and respiratory cycle of the subject.
For example, the bio-signal detection device is data collected for measuring respiration and heartbeat of an arbitrary user. As shown in Fig. 6, a signal corresponding to between 0 sec and 15 sec is supplied to three samplers . ≪ / RTI >
In the bio-signal detection system using ultra-wideband impulse radar, the technique of analyzing the frequency component by detecting the sampler signal suitable for extracting the heartbeat or respiration among the signals collected through the 256 samplers requires real-time processing and signal processing (CPU, MCU) that have optimal performance with lower specification considering production cost.
On the other hand, the biological signal detection apparatus can generate a two-dimensional data array by using a signal obtained for a unit time, for example, a one-dimensional UWB impulse signal. Here, the two-dimensional data array can be utilized as data for accumulating one time transmit / receive data on the time axis and confirming distance information that varies with time at a specific position. As a result, the data array can be used to identify changes in the distance between the chest and the antenna due to breathing or heartbeat as time elapses.
7, the horizontal axis represents 256 sampler numbers, for example, the distance from the antenna to the chest, and the vertical axis represents the accumulation of data collected at 20 msec intervals as a time axis . The left graph in FIG. 7 shows the results of the transmission / reception of the radar once, and the right graph shows the time-axis data corresponding to the specific sampler number selected and displayed in the graph in the data accumulated in time order.
The biological signal detection apparatus determines a part of each data vector constituting the data array in consideration of the priority order, performs fast Fourier transform on the determined data vector, and then outputs the frequency-dependent amplitude of the fast Fourier transform results as random To perform a combining step to obtain a one-dimensional vector or one or more data arrays.
For example, the combining step may slightly differ according to a selected sampler among 256 sampler data in the bio-signal detection apparatus, and may cause a problem when an error occurs in the sampler selection process. Therefore, only one sampler (E.g., 10) samplers without performing the selection and performing Fast Fourier Transform, and summing the results in the frequency domain.
Here, the time-axis data of a specific sampler among the data arrays obtained through 256 samplers is subjected to a general respiration frequency band filtering (left graph) and a result obtained by performing fast Fourier transform (right graph) As shown in Fig. 8.
9 is a flowchart illustrating a bio-signal detection method according to an embodiment of the present invention.
Referring to Fig. 9, in
In
In
In
In
The bio-signal detection apparatus according to an embodiment of the present invention includes a target data array and a target data array by selectively including some data vectors in a two-dimensional data array associated with a subject in accordance with a priority order. The number of data vectors used for detecting a living body signal can be reduced to reduce the load and increase the speed in the calculation process for detecting a living body signal.
The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.
The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.
The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.
Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.
100: biological signal detection device
101: Formation unit 103: Ranking unit
105: array generating unit 107:
109: Memory
Claims (12)
A ranking unit for prioritizing a plurality of data vectors constituting the two-dimensional data array;
An array generating unit for determining a target data vector of n (n is at least one natural number) among the plurality of data vectors according to the priority and generating a target data array composed of the n target data vectors, ; And
A processor for detecting a bio-signal of the subject using the target data array,
And the biometric signal detection device.
Wherein the forming portion comprises:
Dimensional UWB impulse signal received from the subject for a predetermined unit time and arranging the one-dimensional UWB impulse signal in chronological order to form the two-dimensional basic data array
A biological signal detection device.
Wherein the forming portion comprises:
Dimensional data array, extracting a predetermined number in consideration of the type of the biological signal to be detected in the one-dimensional ultra wideband impulse signal arranged in chronological order,
A biological signal detection device.
Wherein the ranking unit comprises:
Band-pass filtering the plurality of data vectors, calculating a deviation or a standard deviation for each of the band-pass filtered data vectors, and prioritizing each data vector based on the calculation result
A biological signal detection device.
Wherein the array generator comprises:
Performing a fast Fourier transform on the n target data vectors and combining frequency-specific amplitudes of the fast Fourier transform results to generate the target data array
A biological signal detection device.
A memory that stores instructions executable by the target data array to detect a subject's vital sign of the subject;
Further comprising:
Prioritizing a plurality of data vectors constituting the two-dimensional data array;
Determining a target data vector of n (n is at least one natural number) among the plurality of data vectors according to the priority;
Generating a target data array comprising the n target data vectors; And
Detecting a bio-signal of the subject using the target data array
And detecting the biological signal.
Wherein forming the two-dimensional data array comprises:
Acquiring the one-dimensional ultra-wideband impulse signal received from the subject for a predetermined unit time; And
Dimensionally arranging the one-dimensional UWB impulse signals in chronological order to form the two-dimensional basic data array
And detecting the biological signal.
Wherein forming the two-dimensional data array comprises:
Extracting a predetermined number in consideration of the type of the biological signal to be detected in the one-dimensional UWB impulse signal arranged in time order, and forming the two-dimensional data array
Further comprising the steps of:
Wherein prioritizing the plurality of data vectors comprises:
Band-pass filtering the plurality of data vectors;
Computing a deviation or a standard deviation for each of the bandpass filtered data vectors; And
Based on the calculation result, prioritizing each data vector
And detecting the biological signal.
Wherein generating the target data array comprises:
Performing fast Fourier transform on the n target data vectors; And
Combining the frequency-specific amplitudes of the fast Fourier transform results to generate the target data array
And detecting the biological signal.
Maintaining a memory that stores instructions executable by the target data array to detect a subject's vital sign
Further comprising the steps of:
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20180137690A (en) * | 2017-06-19 | 2018-12-28 | 재단법인대구경북과학기술원 | A bio-information determination apparatus and method using time series data analysis of radar signal |
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| KR20180137690A (en) * | 2017-06-19 | 2018-12-28 | 재단법인대구경북과학기술원 | A bio-information determination apparatus and method using time series data analysis of radar signal |
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