WO2012008679A2 - Appareil et procédé pour le diagnostic de caractéristiques de sujet sur la base d'une mesure oscillométrique de pression artérielle - Google Patents

Appareil et procédé pour le diagnostic de caractéristiques de sujet sur la base d'une mesure oscillométrique de pression artérielle Download PDF

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Publication number
WO2012008679A2
WO2012008679A2 PCT/KR2011/002821 KR2011002821W WO2012008679A2 WO 2012008679 A2 WO2012008679 A2 WO 2012008679A2 KR 2011002821 W KR2011002821 W KR 2011002821W WO 2012008679 A2 WO2012008679 A2 WO 2012008679A2
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WIPO (PCT)
Prior art keywords
pulse wave
unit
wave signal
personal
cuff
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English (en)
Korean (ko)
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WO2012008679A3 (fr
Inventor
신영숙
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Chosun University Industry Academic Cooperation Foundation
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Chosun University Industry Academic Cooperation Foundation
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Priority claimed from KR1020110035405A external-priority patent/KR101270592B1/ko
Application filed by Chosun University Industry Academic Cooperation Foundation filed Critical Chosun University Industry Academic Cooperation Foundation
Priority to US13/576,791 priority Critical patent/US20120302902A1/en
Publication of WO2012008679A2 publication Critical patent/WO2012008679A2/fr
Publication of WO2012008679A3 publication Critical patent/WO2012008679A3/fr
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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
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/02225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers using the oscillometric method

Definitions

  • the present invention relates to an apparatus and method for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement, and in particular, to diagnose personal characteristics using respective minimum amplitude values detected from pulse wave signals corresponding to a plurality of window sections.
  • blood pressure measurement methods are generally classified into invasive and non-invasive methods.
  • Invasive methods are direct measurement methods that insert cannula needles into arteries, which patients dislike and can cause infections.
  • Noninvasive methods are classified into auscultation methods and oscillometric methods.
  • the stethoscope method has been developed because it is not suitable for long-term measurements and can only be used by a specialist. This oscillometric method is similar to the stethoscope method, but uses a pressure sensor instead of a stethoscope to record pressure vibrations inside the cuff.
  • the present invention provides a personal characteristic diagnosis apparatus and method based on the oscillometric arterial blood pressure measurement using the respective minimum amplitude value detected from the pulse wave signal corresponding to a plurality of window intervals It aims to provide.
  • the present invention is an apparatus and method for personal characteristic diagnosis based on oscillometric arterial blood pressure measurement for diagnosing personal characteristics using normalized pattern signals of subjects obtained by performing normalization using a plurality of pulse wave signals obtained from the same subject.
  • the purpose is to provide.
  • the personal characteristic diagnosis apparatus based on the oscillometric arterial blood pressure measurement according to the present invention is a pressure detection sensor unit for detecting the cuff pressure including the effect of the pulse wave, and the cuff detected by the pressure detection sensor unit
  • a pulse wave extraction unit for extracting a pulse wave signal of an artery from pressure
  • a pulse wave amplitude detection unit for dividing the pulse wave signal extracted from the pulse wave extraction unit into a plurality of window sections, and detecting a minimum amplitude value in each window section, and the pulse wave amplitude
  • a personal characteristic diagnosis unit for diagnosing personal characteristics using a minimum amplitude value in each window section detected by the detection unit is provided.
  • the personal characteristic diagnosis apparatus based on the oscillometric arterial blood pressure measurement generates a normalized pulse wave signal of the subject using a plurality of pulse wave signals extracted from the pulse wave extracting unit obtained from the same subject, and outputs the pulse wave amplitude to the pulse wave amplitude detection unit.
  • the pulse wave signal normalization unit may further include a pulse wave amplitude detector that splits the normalized pulse wave signal output from the pulse wave signal normalizer into a plurality of window sections, and detects a minimum amplitude value in each window section.
  • the personal characteristic diagnosis unit may diagnose the personal characteristic by averaging the minimum amplitude values in each window section detected by the pulse wave amplitude detection unit for each window section for each subject.
  • the pulse wave signal normalization unit normalizes the plurality of pulse wave signals extracted from the pulse wave extracting unit by rooting a sum of squared signals.
  • the number of windows is preferably obtained based on the number of pulse vibration waveforms including the minimum vibration waveform number and one pulse of the maximum period.
  • the personal characteristic diagnosis unit may diagnose that the subject has high blood pressure when the maximum value in the minimum amplitude value or the averaged minimum amplitude value in each window section detected by the pulse wave amplitude detection unit is within 1/3 of the measurement period. have.
  • the personal characteristic diagnosis unit may diagnose the personal characteristic using the minimum amplitude value and the maximum amplitude value in each window section detected by the pulse wave amplitude detector.
  • a method for diagnosing personal characteristics based on an oscillometric arterial blood pressure measurement includes detecting a cuff pressure including an influence of a pulse wave from a cuff wound on an arm or an arm of a subject, and receiving a pulse wave signal of an artery from the detected cuff pressure. Extracting a signal, dividing the extracted pulse wave signal into a plurality of window sections, detecting a minimum amplitude value in each window section, and diagnosing personal characteristics using the minimum amplitude value in each window section.
  • An apparatus for diagnosing personal characteristics based on an oscillometric arterial blood pressure measurement includes a pressure detection sensor unit for detecting a cuff pressure including an influence of a pulse wave, and a pulse wave signal of an artery from the cuff pressure detected by the pressure detection sensor unit.
  • a personal pattern generation unit that generates a personal characteristic pattern using the minimum amplitude value in E, a storage unit storing a personal characteristic pattern generated by the personal pattern generation unit, a personal characteristic pattern and a subject stored in the storage unit Compare the measured characteristic patterns using the cuff pressure of the cuff wound around the arm or cuff By providing parts of individual characteristics change in diagnosing human characteristics change diagnosis, it is possible to achieve the above object.
  • An apparatus for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement comprises the steps of detecting cuff pressure including the effect of pulse wave from the cuff wound on the arm or cuff of the subject, and the pulse wave of the artery from the detected cuff pressure. Extracting a signal, dividing the extracted pulse wave signal into a plurality of window sections, detecting a minimum amplitude value in each window section, and using the minimum amplitude value in each window section, Generating the personal characteristic pattern, and comparing the stored personal characteristic pattern with the characteristic pattern measured using the cuff pressure of the cuff wound around the arm or cuff of the subject.
  • the present invention can diagnose personal characteristics by using pulse wave information in measuring blood pressure.
  • the present invention can be normalized by using a plurality of pulse wave signals obtained from the same subject, it is possible to reduce the change of the pulse wave signals showing a change for each measurement number of the same subject to accurately diagnose personal characteristics.
  • the present invention can reduce the measurement error by averaging the minimum amplitude values and / or maximum amplitude values for each window section to diagnose personal characteristics.
  • FIG. 1 is a diagram illustrating an apparatus for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement according to an embodiment of the present invention.
  • FIG. 2 is a flowchart illustrating a personal characteristic diagnosis method based on the oscillometric arterial blood pressure measurement shown in FIG. 1.
  • 3 is a diagram in which data measured five times are recorded for a plurality of subjects.
  • FIG. 4 is a view showing a pressure signal of the cuff shown in FIG.
  • FIG. 5 is a diagram illustrating a pulse wave signal extracted by the pulse wave extracting unit of FIG. 1.
  • FIG. 6 is a diagram illustrating a minimum amplitude value and a maximum amplitude value in one window section.
  • FIG. 7 is a diagram illustrating a minimum amplitude value detected in each window of the same subject and a minimum amplitude value detected in each window by using a normalized pulse wave signal.
  • FIG. 8 is a view illustrating individual characteristic patterns belonging to the hypertension group of systolic blood pressure among the subjects shown in FIG. 3.
  • FIG. 9 is a view illustrating individual characteristic patterns belonging to the normal group of systolic blood pressure among the subjects shown in FIG. 3.
  • FIG. 10 is a flowchart illustrating a second embodiment of a method for diagnosing personal characteristics based on the oscillometric arterial blood pressure measurement shown in FIG. 1.
  • 11 is a diagram illustrating the minimum amplitude value and the maximum amplitude value detected in each window of the same measurer.
  • FIG. 12 is a view illustrating individual characteristic patterns belonging to the hypertension group of diastolic blood pressure among the subjects shown in FIG. 3.
  • FIG. 13 is a view illustrating individual characteristic patterns belonging to the normal group of diastolic blood pressure among the subjects shown in FIG. 3.
  • FIG. 14 illustrates an apparatus for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement according to another embodiment of the present invention.
  • FIG. 15 is a flowchart illustrating a personal characteristic diagnosis method based on the oscillometric arterial blood pressure measurement shown in FIG. 14.
  • FIG. 1 is a diagram illustrating an apparatus for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement according to an embodiment of the present invention.
  • Oscillometric method one of the methods for measuring blood pressure, generally measures blood pressure in the arm or the like linearly or stepwise during cardiac contraction and cardiac expansion, and extracts a pulse wave signal from the measured pressure. Obtain the blood pressure (contractor blood pressure) and the minimum blood pressure (diastolic blood pressure).
  • the personal property diagnosis apparatus 100 based on the oscillometric arterial blood pressure measurement includes a cuff 110, a pressure detection sensor unit 120, a pulse wave extraction unit 130, and a pulse wave signal normalization unit 140.
  • the pulse wave amplitude detection unit 150, the personal characteristic diagnosis unit 160, the storage unit 170, and the display unit 180 are included.
  • the cuff 110 is wound around the measurement site when measuring blood pressure, and is mainly wound around the arm or cuff and connected to a pressure pump (not shown) and an exhaust valve (not shown) through an internal pipe (not shown). do.
  • the pressure detection sensor unit 120 is connected to the cuff 110 through an internal pipe to detect the cuff pressure, that is, the pressure of the cuff 110 including the influence of the pulse wave.
  • the pulse wave extracting unit 130 extracts the pulse wave signals of the arteries of the entire section from the cuff pressure detected by the pressure detecting sensor unit 120. On the other hand, when a plurality of pulse wave signals are to be obtained from the same subject to normalize the pulse wave signal, the pulse wave signal extracted by the pulse wave extraction unit 130 is stored in the pulse wave signal storage area of the storage unit 170.
  • the pulse wave signal normalization unit 140 normalizes a plurality of pulse wave signals extracted from the pulse wave extracting unit 130 obtained from the same subject to reduce the change of the pulse wave signals showing a change for each measurement number of the same subject. To output the normalized pulse wave signal of the subject.
  • the pulse wave amplitude detection unit 150 divides the pulse wave signal inputted to the pulse wave extracting unit 130 or the normalized pulse wave signal of the subject into a plurality of window sections, and minimum amplitude values (MIAP: Minimum Amplitude Pulse) for each window section. And a maximum amplitude pulse (MXAP).
  • MIAP Minimum Amplitude Pulse
  • the personal characteristic diagnosis unit 160 diagnoses the personal characteristic by using the minimum amplitude value and / or the maximum amplitude value in each window section detected by the pulse wave amplitude detection unit 150.
  • the storage unit 170 may be used to obtain a plurality of pulse wave signals from the same subject to normalize the pulse wave signal.
  • the pulse wave signal extracted by the pulse wave extracting unit 130 is stored in the pulse wave signal storage area of the storage unit 170.
  • the display unit 180 may display personal characteristic information diagnosed by the personal characteristic diagnosis unit 160, that is, information such as hypertension, kidney disease, diabetes, etc. of the subject.
  • the personal characteristic diagnosis apparatus 100 illustrated in FIG. 1 may be implemented as a single device such as a blood pressure monitor, but includes a cuff 110, a pressure detecting sensor unit 120, and a pulse wave extracting unit 130. And a computer / monitor including a pulse wave signal normalization unit 140, a pulse wave amplitude detection unit 150, a personal characteristic diagnosis unit 160, a storage unit 170, and a display unit 180.
  • FIG. 2 is a flowchart illustrating a method for diagnosing personal characteristics based on the oscillometric arterial blood pressure measurement shown in FIG. 1
  • FIG. 3 is a diagram in which data measured five times are recorded for a plurality of subjects
  • FIG. 4. 1 is a view showing a pressure signal of the cuff shown in FIG. 1
  • FIG. 5 is a view showing a pulse wave signal extracted by the pulse wave extraction unit shown in FIG. 1
  • FIG. 6 is a minimum amplitude value in one window section.
  • FIG. 7 is a diagram showing a minimum amplitude value detected in each window using the normalized pulse wave signal and the minimum amplitude value detected in each window of the same measurer
  • FIG. 9 belongs to the normal group of systolic blood pressure among the subjects shown in FIG. A diagram of a personal characteristic patterns are shown.
  • the cuff pressure is detected through the pressure detection sensor unit 120 (S202).
  • the cuff pressure signal detected by the pressure detection sensor unit 120 is shown in FIG. 4.
  • the cuff pressure detected by the pressure detection sensor unit 120 is extracted from the pulse wave extraction unit 130, pulse wave signals of the arteries of the entire section (S204).
  • the pulse wave signal extracted by the pulse wave extracting unit 130 is illustrated in FIG. 5. This pulse wave signal can be extracted by using the difference information of the cuff pressure sequentially input from the pressure detection sensor unit 120 and removing the influence of the average decompression amount of the cuff pressure included in the difference information.
  • the pulse wave signal extracted by the pulse wave extracting unit 120 may be stored in the storage unit 170 until a plurality of pulse wave signals are obtained from the same subject (S206). Data measured five times for each subject are shown in FIG. 3.
  • the storage unit 170 stores the pulse wave signal extracted from the cuff pressure and the vibration waveform number of the pulse wave signal, and also the age and sex of the subject and the maximum blood pressure (shrinkage blood pressure) and the minimum measured by the nurse through a stethoscope. Blood pressure (diastolic blood pressure) may be stored.
  • each data from each subject is stored a plurality of times, i.e., a pulse wave signal extracted from the pulse wave extracting unit 130, a pulse wave signal extracted from the cuff pressure, and a maximum blood pressure and a minimum blood pressure measured through a stethoscope. It may be stored in the unit 170.
  • the measurement chamber is configured to measure accurate blood pressure, and that the subjects also have sufficient stability in the waiting room or the like.
  • the data in the table shown in FIG. 3 is data obtained by repeating the measurement for 1 minute and the 1 minute rest period after the subject has stabilized in the waiting room for 15 minutes, or may be randomly obtained after the break.
  • the pulse wave signal normalization unit 140 performs normalization to reduce the change of pulse wave signals showing a change for each measurement number of the same subject (S208). ). That is, normalization is performed on a plurality of pulse wave signals for the same subject stored in the storage unit 170 to obtain data showing that the personal characteristics can be diagnosed more accurately based on the oscillometric arterial blood pressure measurement.
  • Normalization in the pulse wave signal normalization unit 140 may normalize the pulse wave signal corresponding to the subject based on Equation 1 below.
  • the total number of data obtained (60 in FIG. 3) is denoted by W, and the number of subjects (in FIG. 3 is represented by 12 persons) is expressed as N, Can be obtained.
  • pulse wave signals obtained from the same subject The pulse wave signal W ij means the j-th pulse wave signal of the i-th subject.
  • the pulse wave magnitude value ⁇ of the same subject is a value obtained by rooting the sum of squares of the pulse wave signals of the same subject.
  • the normalized pulse wave signal Wi * is normalized pulse wave signals obtained by dividing the pulse wave signals of the subject by the pulse wave magnitude value ⁇ .
  • the pulse wave amplitude detection unit 150 divides all sections of the normalized pulse wave signal obtained by the pulse wave signal normalization unit 140 into a plurality of window sections (S210).
  • the number of feature windows is based on the minimum number of vibration waveforms of the normalized pulse wave signal of each subject (in case of S1 of FIG. 3, the minimum number of vibration waveforms is 9004) and the number of vibration waveforms in which a single pulse is generated. Is determined.
  • the number of feature windows FW may be determined by two parameters. If the minimum number of vibration waveforms is ⁇ and the number of pulse vibration waveforms including one pulse of the maximum period is ⁇ , the number FW of the feature windows can be calculated by Equation 2 below.
  • the pulse wave amplitude detection unit 150 detects minimum amplitude values in each of the plurality of window sections (S212). Each minimum amplitude value in one window section is shown in FIG. 6. Among the pulse wave signals shown in FIG. 6, the uppermost region is the maximum amplitude value and the region displayed at the lowermost level is the minimum amplitude value. Therefore, at least one pulse wave signal should be included in one window section, and when there are multiple pulse wave signals in one window section, the smallest value among them becomes the minimum amplitude value.
  • the minimum amplitude value is detected, but the average amplitude value (MAP) obtained by averaging the maximum amplitude value or the amplitude values of one window section according to the personal characteristic to be diagnosed, as well as the case of identifying the personal characteristic simply by the minimum amplitude value.
  • MAP average amplitude value
  • Mean Amplitude Pulse is also used.
  • all the sections of the normalized pulse wave pattern obtained by the pulse wave signal normalization unit 140 are divided into 29 window sections, and the minimum amplitude value in each window is detected.
  • the minimum amplitude values detected in each window of the same subject are shown in FIG. 7 (a), and the minimum amplitude values using the pulse wave signal normalized by the pulse wave signal normalization unit 140 are shown in FIG. 7 (b). .
  • the personal characteristic diagnosis unit 160 diagnoses the personal characteristic by using the minimum amplitude value in each window section detected by the pulse wave amplitude detection unit 150 (S214). Preferably, the personal characteristic diagnosis unit 160 diagnoses personal characteristics by averaging minimum amplitude values in each window section detected by the pulse wave amplitude detection unit 150 for each window section for each subject. These averaged minimum amplitude values are shown in FIGS. 8 and 9 in a personal characteristic pattern.
  • FIG. 8 shows personal characteristic patterns of subjects P1 to P4 diagnosed with hypertension at systolic blood pressure
  • FIG. 9 shows personal characteristic patterns of subjects P5 to P8 diagnosed with systolic blood pressure normally. It is.
  • the largest value among the averaged minimum amplitude values in each window section detected by the pulse wave amplitude detector 150 is one third of the measurement period. Is in.
  • Table 1 Measure Systolic blood pressure (mmHg) shown in FIG. 3 Contraction blood pressure (mmHg) converted using neural network P1 139 133 135 145 P2 134 133 131 127 P3 140 134 135 121 P4 131 124 130 128 P5 112 113 114 109 P6 103 107 108 107 P7 104 105 108 98 P8 97 92 99 94
  • the first column of Table 1 represents the subject
  • the second column represents the contraction blood pressure measured by the nurse illustrated in FIG. 3
  • the third column represents each window section detected by the pulse wave amplitude detection unit 150. It shows the contraction blood pressure when the largest value in the smallest amplitude value at is converted inversely using a neural network.
  • the contraction blood pressure measured by the nurse shown in FIG. 3 and the contraction blood pressure converted using the neural network are somewhat different, but the method of measuring oscillometric arterial blood pressure by a general blood pressure monitor is also measured from the median value. Since the range of the error is quite large because the systolic blood pressure and the expanded blood pressure are calculated, the present invention can be usefully applied. In addition, the error can be reduced by removing a large amount of measurement data from a plurality of measurement data. have.
  • FIG. 10 is a flowchart showing a second embodiment of the method for diagnosing personal characteristics based on the oscillometric arterial blood pressure measurement shown in FIG. 1, and FIG. 11 shows the minimum and maximum amplitude values detected in each window of the same measurer.
  • FIG. 12 is a diagram illustrating an individual characteristic pattern belonging to the hypertension group in the diastolic blood pressure among the subjects shown in FIG. 3, and
  • FIG. 13 is a diagram showing a normal pattern in the diastolic blood pressure among the subjects shown in FIG. 3. It is a diagram showing a personal characteristic pattern to belong.
  • the step S210 of dividing the normalized pulse wave signal into a plurality of window sections from the step S202 of detecting the cuff pressure in the flowchart shown in FIG. 10 is the same as the flowchart shown in FIG. 2.
  • the pulse wave amplitude detection unit 150 detects a minimum amplitude value and a maximum amplitude value in the plurality of window sections, respectively (S1002).
  • the minimum amplitude value and the maximum amplitude value in one window section are illustrated.
  • the uppermost region is the maximum amplitude value and the region displayed at the lowermost level is the minimum amplitude value. Therefore, at least one pulse wave signal should be included in one window section, and when there are multiple pulse wave signals in one window section, the largest value among them becomes the maximum amplitude value and the smallest value becomes the minimum amplitude value.
  • the pulse wave amplitude detector 150 may further obtain an average amplitude value obtained by averaging amplitude values of one window section according to a personal characteristic to be diagnosed.
  • all the sections of the normalized pulse wave pattern obtained by the pulse wave signal normalization unit 140 are divided into 29 window sections, and the minimum and maximum amplitude values in each window are detected.
  • the minimum and maximum amplitude values detected in each window of the same subject are shown in FIG. 13.
  • the personal characteristic diagnosis unit 160 diagnoses the personal characteristic by using the minimum amplitude value and the maximum amplitude value in each window section detected by the pulse wave amplitude detection unit 150 (S1004).
  • the personal characteristic diagnosis unit 160 diagnoses personal characteristics by averaging the minimum amplitude values and the maximum amplitude values in each window section detected by the pulse wave amplitude detection unit 150 for each subject. As already explained, these averaged minimum amplitude values are shown in FIGS. 8 and 9 in a personal characteristic pattern.
  • FIG. 8 shows personal characteristic patterns of subjects P1 to P4 diagnosed with hypertension in the systolic system
  • FIG. 9 shows personal characteristic patterns of subjects P5 to P8 diagnosed normally.
  • these averaged maximum amplitude values are shown in FIGS.
  • FIG. 12 shows personal characteristics patterns of subjects (P9 to P12) diagnosed with hypertension (90-99 mmHg) and pseudohypertension (80-89 mmHg) in the diastolic phase.
  • FIG. 13 shows subjects with normal diagnosis (P5). To P8) personal characteristic patterns are shown.
  • the averaged minimum amplitude value in each window section detected by the pulse wave amplitude detection unit 150 is different from the normally diagnosed objects in FIG. 9.
  • the largest value is within one third of the measurement period. 12 and 13, in the case of subjects diagnosed as having diastolic hypertension in FIG. 12, each window section detected by the pulse wave amplitude detection unit 150 is different from those normally diagnosed in FIG. 13.
  • the smallest value among the averaged maximum amplitude values in is concentrated in 10 to 14 windows of the measurement period.
  • the personal characteristics are further increased. It can be diagnosed accurately.
  • FIG. 14 illustrates an apparatus for diagnosing personal characteristics based on oscillometric arterial blood pressure measurement according to another embodiment of the present invention.
  • the personal property diagnosis apparatus 100 includes the cuff 110, the pressure detection sensor unit 120, the pulse wave extracting unit 130, the pulse wave signal normalizing unit 140, and the pulse wave shown in FIG. 1.
  • the personal pattern generator 1410, the storage unit 1420, and the personal characteristic change diagnosis unit 1430 are included in addition to the amplitude detector 150 and the display unit 180.
  • the cuff 110 is wound around the measurement site when measuring blood pressure, and is mainly wound around the arm or cuff and connected to a pressure pump (not shown) and an exhaust valve (not shown) through an internal pipe (not shown). do.
  • the pressure detection sensor unit 120 is connected to the cuff 110 through an internal pipe to detect the cuff pressure, that is, the pressure of the cuff 110 including the influence of the pulse wave.
  • the pulse wave extracting unit 130 extracts the pulse wave signals of the arteries of the entire section from the cuff pressure detected by the pressure detecting sensor unit 120. Meanwhile, when a plurality of pulse wave signals are to be obtained from the same subject for normalization of the pulse wave signal, the pulse wave signal extracted by the pulse wave extracting unit 130 is stored in the pulse wave signal storage area of the storage unit 1420.
  • the pulse wave signal normalization unit 140 normalizes a plurality of pulse wave signals extracted from the pulse wave extracting unit 130 obtained from the same subject to reduce the change of the pulse wave signals showing a change for each measurement number of the same subject. To output the normalized pulse wave signal of the subject.
  • the pulse wave amplitude detection unit 150 divides the pulse wave signal inputted to the pulse wave extracting unit 130 or the normalized pulse wave signal of the subject into a plurality of window sections, and minimum amplitude values (MIAP: Minimum Amplitude Pulse) for each window section. Is detected.
  • MIAP Minimum Amplitude Pulse
  • the personal pattern generator 1410 generates a personal characteristic pattern by using the minimum amplitude value in each window section detected by the pulse wave amplitude detector 150.
  • the storage unit 1420 stores the personal characteristic pattern information generated by the personal pattern generation unit 1410 in the characteristic information area.
  • the pulse wave signal extracted by the pulse wave extraction unit 130 is stored in the pulse wave signal storage area of the storage unit 1420. Stored.
  • the personal characteristic change diagnosis unit 1430 compares the personal characteristic pattern stored in the characteristic information area of the storage unit 1420 with the characteristic pattern measured using the cuff pressure of the cuff 110 wound around the arm or cuff of the subject. Diagnose personal characteristic changes.
  • the display unit 180 may display personal characteristic change information diagnosed by the personal characteristic change diagnosis unit 1430, that is, information such as the degree of change in hypertension of the subject, the degree of change in the kidney disease, and the degree of diabetes change. .
  • FIG. 15 is a flowchart illustrating a personal characteristic diagnosis method based on the oscillometric arterial blood pressure measurement shown in FIG. 14.
  • the cuff 110 When the cuff 110 is wound around the arm or cuff of the human body, and the personal property diagnosis apparatus 100 operates to measure blood pressure, the cuff pressure is detected through the pressure detection sensor unit 120 (S202).
  • the cuff pressure detected by the pressure detection sensor unit 120 is extracted from the pulse wave extraction unit 130, pulse wave signals of the arteries of the entire section (S204).
  • the pulse wave signal extracted by the pulse wave extracting unit 120 may be stored in the storage unit 1420 until a plurality of pulse wave signals are obtained from the same subject (S206).
  • the pulse wave signal normalization unit 140 performs normalization to reduce the change of pulse wave signals showing a change for each measurement number of the same subject (S208). ).
  • the pulse wave amplitude detection unit 150 divides all sections of the normalized pulse wave signal obtained by the pulse wave signal normalization unit 140 into a plurality of window sections (S210).
  • the pulse wave amplitude detection unit 150 detects minimum amplitude values in each of the plurality of window sections (S1502).
  • the personal pattern generator 1410 generates a personal characteristic pattern by using the minimum amplitude value in each window section detected by the pulse wave amplitude detector 150 (S1504). Preferably, the personal pattern generator 1410 generates a personal characteristic pattern by averaging minimum amplitude values in each window section detected by the pulse wave amplitude detector 150 for each window section for each subject.
  • the storage unit 1420 stores the personal characteristic pattern generated by the personal pattern generation unit 1410 (S1506).
  • the personal characteristic change diagnosis unit 1430 compares the personal characteristic pattern stored in the storage unit 1420 with the characteristic pattern measured by using the cuff pressure of the cuff 110 wound around the arm of the subject to diagnose the personal characteristic change. (S1508).

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Abstract

La présente invention porte sur un appareil et un procédé pour le diagnostic de caractéristiques de sujet sur la base d'une mesure oscillométrique de pression artérielle. Selon la présente invention, l'appareil pour le diagnostic de caractéristiques de sujet sur la base d'une mesure oscillométrique de pression artérielle comporte : une partie capteur de détection de pression pour la détection d'une pression de brassard comprenant l'effet d'une onde d'impulsion ; une partie d'extraction d'onde d'impulsion pour l'extraction du signal d'onde d'impulsion d'une artère de la pression de brassard détectée au niveau de la partie capteur de détection de pression ; une partie détection d'amplitude d'onde d'impulsion pour la division du signal d'onde d'impulsion extrait au niveau de la partie d'extraction d'onde d'impulsion en une pluralité de régions de fenêtre et la détection de l'amplitude minimale au niveau de chaque région de fenêtre ; et une partie diagnostic de caractéristiques de sujet pour le diagnostic de caractéristiques de sujet par utilisation de l'amplitude minimale à chaque région de fenêtre détectée au niveau de la partie de détection d'amplitude d'onde d'impulsion, permettant ainsi le diagnostic de caractéristiques de sujet à l'aide des informations d'onde d'impulsion dans la mesure de pression artérielle.
PCT/KR2011/002821 2010-07-12 2011-04-20 Appareil et procédé pour le diagnostic de caractéristiques de sujet sur la base d'une mesure oscillométrique de pression artérielle Ceased WO2012008679A2 (fr)

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JP3820719B2 (ja) * 1997-12-24 2006-09-13 セイコーエプソン株式会社 生体状態測定装置
JP2003305011A (ja) * 2002-04-17 2003-10-28 Nippon Colin Co Ltd 振幅増加指数測定装置
KR100481676B1 (ko) * 2004-06-21 2005-04-14 에버닉스 주식회사 디지털 혈압계
JP4873998B2 (ja) * 2006-05-29 2012-02-08 テルモ株式会社 血管弾性特性測定装置

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