WO2003096893A1 - Portable heart rate variability (hrv) based health monitoring system having electromagnetic field (emf) sensor built in - Google Patents

Portable heart rate variability (hrv) based health monitoring system having electromagnetic field (emf) sensor built in Download PDF

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Publication number
WO2003096893A1
WO2003096893A1 PCT/KR2003/000965 KR0300965W WO03096893A1 WO 2003096893 A1 WO2003096893 A1 WO 2003096893A1 KR 0300965 W KR0300965 W KR 0300965W WO 03096893 A1 WO03096893 A1 WO 03096893A1
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WO
WIPO (PCT)
Prior art keywords
monitoring system
portable
hrv
health monitoring
emf
Prior art date
Application number
PCT/KR2003/000965
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English (en)
French (fr)
Inventor
Jae Mok Ahn
Original Assignee
Iembio Co., Ltd.
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Iembio Co., Ltd. filed Critical Iembio Co., Ltd.
Priority to AU2003235229A priority Critical patent/AU2003235229A1/en
Publication of WO2003096893A1 publication Critical patent/WO2003096893A1/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02405Determining heart rate variability
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/364Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4029Detecting, measuring or recording for evaluating the nervous system for evaluating the peripheral nervous systems
    • A61B5/4035Evaluating the autonomic nervous system

Definitions

  • the present invention relates to a portable heart rate variability (HRV) based health monitoring system having an electromagnetic field (EMF) sensor built in, and more particularly, to a portable health monitoring system capable of promoting health and preventing a disease, in which three indexes such as a total spectral power (TP) (which is same to body's condition), a stress index (SI) and an autonomic nerve activity (sympathetic nerve activity (SP) , parasympathetic nerve activity (PP) , a SP/PP ratio, etc.) are analyzed based on heart rate variability (HRV) data values provided from sensors for sensing the geomagnetic field, the electromagnetic field (EMF), etc., a temperature sensor, a pulse oximetry, and the like, and health status and psychological stress of the subject of measurement are then displayed as numerical values, using biomedical recognition analysis technique.
  • HRV heart rate variability
  • HRV heart rate variability
  • ECG electrocardiogram
  • the above health monitoring systems are ECG related products and have most been developed for the purpose of monitoring the patents. Due to this, they have such simple functions as acquisition of the ECG signal, storage of the signal on the display, transmission of the signal, warning, etc. Further, the above health monitoring systems have disadvantages that it is not portable, and is bulky and expensive .
  • An object of the present invention is to provide a portable health monitoring system capable of promoting health and preventing a disease, in which three indexes such as a total spectral power (TP) , a stress index (SI) and an automatic nerve activity (sympathetic nerve activity (SP) , parasympathetic nerve activity (PP) , a SP/PP ratio, etc.) are analyzed based on heart rate variability (HRV) data values provided from sensors for sensing the geomagnetic field, the electromagnetic field (EMF), etc., a temperature sensor, a pulse oximetry, and the like, and health status and psychological stress of the subject of measurement are then displayed as numerical values, using a biomedical recognition analysis technique.
  • TP total spectral power
  • SI stress index
  • SP parasympathetic nerve activity
  • PP parasympathetic nerve activity
  • SP/PP ratio a SP/PP ratio
  • a portable heart rate variability (HRV) based health monitoring system having an electromagnetic field (EMF) sensor built in is characterized in that it comprises an input means having a plurality of sensors for measuring the electromagnetic field (EMF) , the geomagnetic field, the heart rate, body temperature, respectively, a microprocessor for receiving signals outputted from the input means to produce specific indexes using a previously stored calculation equation, and controlling the system, a spectrum analyzer for analyzing the level of exposure to the EMF and the geomagnetic field from the data values calculated by the microprocessor, and a display means for displaying the data values inputted through the microprocessor and the spectrum analyzer.
  • HRV heart rate variability
  • the microprocessor comprises a CPU and a storage means, wherein the CPU has a stored calculation equation capable of calculating and analyzing in real time indexes such as an average heart rate, an average RR time, RR time, a total spectral power (TP) , a sympathetic nerve activity (SP) , a parasympathetic nerve activity (PP) , etc. according to a recommendation value on health and care status proposed by International HRV Congress, based on the data values measured by the input means.
  • the spectrum analyzer analyzes the level of exposure to the EMF and the geomagnetic field for RR time and RR frequency spectrum in order to measure a stress index (SI) due to the geomagnetic field and EMF.
  • SI stress index
  • the display means comprises a first display unit for displaying body temperature, the level of exposure to the EMF (AC) in surrounding environments and the heart rate, and a second display unit for displaying the level of exposure to the geomagnetic field (DC) , a blood oxygen saturation level (Sp02%) , a total spectral power (TP) and a stress index (SI) .
  • the display means displays the data values that are expressed into numerical values by a percentage based on the degree of resultant test values depending on variation in a total spectral index (TP) , a stress index (SI) , a sympathetic nerve activity (SI) and a parasympathetic nerve activity (PP) of the heart period depending on a health status and a care status, or display danger information depending on the health status step by step.
  • the health monitoring system further comprises a communication means controlled by the microprocessor.
  • the microprocessor transmits a stress index (SI) calculated by an analysis algorithm to a portable PDA or a mobile phone through the communication means.
  • the microprocessor allows numerical values capable of converting a HRV standard deviation into body's condition to be used in the portable PDA or transmits them to the mobile phone for display.
  • the communication means comprises a serial communication means controlled by the microprocessor, for connecting the monitoring system and the PDA or the mobile phone by means of a signal cable.
  • a display program module for displaying information transmitted from the monitoring system as graphs, numerical values, a predetermined display method, or the like, is installed at the PDA or the mobile phone .
  • the communication means comprises a radio communication means controlled by the microprocessor, for transmitting information to the PDA or the mobile phone.
  • a monitoring analysis algorithm and a spectrum analysis algorithm performed by the microprocessor is directly installed at the portable PDA or the mobile phone as application programs, an external sensor connected by a cable and sensors are directly installed at the mobile phone, and the monitoring analysis algorithm, the spectrum analysis algorithm, etc. are programmed into the portable PDA or the mobile phone as application programs.
  • FIG. 1 is a block diagram of a portable heart rate variability (HRV) based health monitoring system having an electromagnetic field (EMF) sensor built in according to an embodiment of the present invention
  • FIG. 2 illustrates external appearances of the health monitoring system shown in FIG. 1,
  • FIG. 3a ?? FIG. 3c illustrate clinical data that were obtained using TP, SI, and SP/PP ratio analysis algorithms by means of the health monitoring system of the present invention
  • FIG. 4 is a block diagram of a portable heart rate variability (HRV) based health monitoring system according to another embodiment of the present invention.
  • HRV heart rate variability
  • FIG. 1 is a block diagram of a portable heart rate variability (HRV) based health monitoring system having an electromagnetic field (EMF) sensor built in according to an embodiment of the present invention
  • FIG. 2 illustrates external appearances of the health monitoring system shown in FIG. 1.
  • HRV heart rate variability
  • EMF electromagnetic field
  • the potable HRV health monitoring system comprises an input means 100 having a first sensor 110, a second sensor 120, a third sensor 130 and a fourth sensor 140, for measuring electromagnetic field (EMF) , the geomagnetic field, body temperature and the heart rate; a microprocessor 200 having a CPU 210 and a storage means 220; a spectrum analyzer 300 and a display means 400.
  • the health monitoring system operates according to the power supply (or first battery and second battery) from the outside .
  • the first sensor 110 in the input means 100 serves to measure the level of exposure to the EMF occurring in residential areas (or surrounding areas) of the subject of measurement.
  • the second sensor 120 is to measure the level of exposure to the geomagnetic field occurring due to the rotation movement of the out core by the earth's revolution and the electromagnetic reciprocal conversion action. Further, the third sensor 130 functions to measure a blood oxygen saturation level (Sp02%) and the heart rate of the subject of measurement. The fourth sensor 140 is to measure body temperature of the subject of measurement. Data values measured by the respective sensors are transmitted to the microprocessor 200.
  • the microprocessor 200 retrieves a calculation equation stored at the storage means 220.
  • the calculation equation analyzes in real time only 6 indexes such as average heart rate, an average RR time, a RR time, a total spectral power (PP) , a power of a LF (0.04 - 0.15Hz) band (SP activity) and a power of a HF (0.15 - 0.4Hz) band (PP activity, relating to respiration), among 12 indexes of HRV being recommended values on health and care status for the subject of measurement proposed by International HRV Congress, from the data values outputted from the input means 100.
  • the CPU 210 calculates the values using the retrieved calculation equation.
  • the CPU 210 calculates the six indexes based on the resulting (data) values measured from the subjected of measurement for about 2 minutes, in order to calculate the six indexes based on the data values outputted from the input means 100.
  • a time setting mode for controlling a measurement time is additionally constructed in the CPU 210 so that the measurement time can be extended up to about 5 minutes if necessary.
  • the data values calculated by the CPU 210 are converted into data that could be displayed on the display means 400.
  • the spectrum analyzer 300 displays how degree the subject of measurement is sensitive to the geomagnetic field and the EMF, based on variation in the SP/PP ratio and the stress index (SI) depending on the EMF due to variation in LF, HF, SI, etc.
  • the microprocessor 200 checks a supply status of the external power supply. As a result of the check, if the external power supply of below a given value is outputted, the microprocessor 200 gives warning on replacement time of the external power supply.
  • the HRV analysis by the spectrum analyzer 300 is a biomedical signal analysis technique by which sympathetic nerve control (SP) , parasympathetic nerve control (PP) , etc., being a medical control system that keeps the body's health, can be non-invasively analyzed.
  • SP sympathetic nerve control
  • PP parasympathetic nerve control
  • the two types of balance and unbalance activities could be expressed into the total spectral power (TP) , the stress index (SI) , and the SP/PP ratio of the heart period depending on variation in HRV.
  • the total spectral power (TP) may be represented as body's condition.
  • the TP, SI, and SP/PP ratio are analyzed using the RR time (time difference between QRS complex signals) and a RR frequency spectrum of the heart period.
  • the display means 400 has two display units; first and second display units for simultaneously displaying the TP, analysis of the SI, activity analysis of the SP and PP, analysis of exposure to the EMF in residential environments, analysis of exposure/direction to/of the geomagnetic field, the heart rate (HR) , a blood oxygen saturation level (Sp02%) , body temperature, and the like, depending on the signals outputted from the microprocessor 200 and the spectrum analyzer 300.
  • the first display unit (410) displays body temperature, the level of exposure to the EMF in surrounding environments (AC) and the heart rate.
  • the second display unit (420) displays the level of exposure to the geomagnetic field (DC) , the blood oxygen saturation level (Sp02%) , the total spectral power (TP) and the stress index (SI) .
  • Table 1 lists data that were verified through clinical tests for several tens of years by International HRV Congress. The data may be expressed in numerical values by a percentage, or danger information based on a health status may be displayed on the display means 400 step by step, according to the degree of resultant test values depending on variation in the TP, SI, SI and PP of the heart period based on a health status and a care status.
  • Autonomic nervous system including sympathetic nerve and parasympathetic nerve.
  • the sympathetic and parasympathetic nerves govern the heart.
  • the sympathetic and parasympathetic nerves always keep equilibrium through a coupling action each other. If being inclined toward the sympathetic nerve, excitation, anxiety, irritation and acuteness characters show. If being inclined toward the parasympathetic nerve, melancholy, languid characters show. (When balance is kept is the most stable status) Stress: Stress index is expressed into a level (lower is better)
  • PWM1 - PWM3 This displays how the signal inputted from the sensor is correct.
  • BATT This displays the charge status of the battery.
  • LF This displays a low frequency component value. (If this value is high, the autonomic nervous system is at strain state, if this value is low, the autonomic nervous system is at relaxation state, and if this value is about 50, the autonomic nervous system is at equilibrium state)
  • InLF Log value of LF .
  • the first display unit 410 and the second display unit 420 in a state that respective display functions are not selected, the first display unit 410 could obtain an exact numerical value after 5 minutes measurement, and the second display unit 420 displays the heart rate in real time.
  • FIG. 3a - FIG. 3c illustrate clinical data that were obtained using TP, SI, and SP/PP ratio analysis algorithms by means of the health monitoring system of the present invention.
  • the clinical data in FIG. FIG. 3a ?? FIG. 3c are for the purpose of measuring variation in the autonomic nerve activity (variation in TP, SI, and SP/PP ratio) within the body for the subject of measurement immediately after eating.
  • TP total spectral power
  • SI stress index
  • SP and PP sympathetic and parasympathetic nerve
  • TP body condition
  • SI stress index
  • FIG. 4 is a block diagram of a portable heart rate variability (HRV) based health monitoring system according to another embodiment of the present invention.
  • HRV heart rate variability
  • FIG. 4 it can be seen that the construction of the system shown in FIG. 4 is same to those shown in FIG. 1 except that it further comprises a communication means 500 controlled by the microprocessor 200. Therefore, for simplicity, explanation will be given on the communication means 500 and related parts only.
  • the microprocessor 200 is constructed to transmit the stress index (SI) calculated by the analysis algorithm to a portable PDA 600 or a mobile phone 700, for display, through the communication means 500. Further, the microprocessor 200 is constructed to transmit numerical values capable of converting the HRV standard deviation into body's condition to the portable PDA 600 or the mobile phone 700, for display.
  • SI stress index
  • a display program capable of displaying information transmitted from the microprocessor 200 is installed in the portable PDA 600 or the mobile phone 700. Therefore, information could be displayed in the same format as those displayed in the display means 400.
  • the communication means 500 may comprise a serial communication means so that the monitoring system and the PDA 600 or the mobile phone 700 are connected by a signal cable. Also, the communication means 500 may comprise a radio communication means for transmitting information to the PDA 600 or the phone 700 over a radio communication network.
  • a monitoring analysis algorithm and a spectrum analysis algorithm which are executed by the microprocessor 200, may be directly installed at the portable PDA or the mobile phone as application programs.
  • an external sensor connected by a cable and sensors for example, a fingerprint measuring sensor, a temperature measuring sensor, etc.
  • the analysis program, the spectrum analysis program, etc. may be programmed into the portable PDA or the mobile phone as application programs.
  • the present invention has a new effect that it can reduce a disease due to overwork. More particularly, the present invention has an advantageous effect that it can minimize damage of a stress, by allowing a user to confirm the activity level of the sympathetic and parasympathetic nerves.
  • the present invention has a new effect that it can prevent, in advance, a disease, etc. by sensing variation in a physiological environment within the body.
  • the present invention has an advantageous effect that it can reduce the manufacturing cost.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
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  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
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  • Neurosurgery (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
PCT/KR2003/000965 2002-05-17 2003-05-16 Portable heart rate variability (hrv) based health monitoring system having electromagnetic field (emf) sensor built in WO2003096893A1 (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008128531A1 (de) * 2007-04-24 2008-10-30 Biosign Gmbh Verfahren und vorrichtung zur messung der stimulierten herzratenvariabilität
DE102008061997A1 (de) * 2008-12-12 2010-06-17 Karlsruher Institut für Technologie System und Verfahren zum Stresstraining eines Benutzers
WO2010112503A1 (de) * 2009-04-02 2010-10-07 Elisabeth Plank Verwendung der herzratenvariabilitätsänderung zur korrelation von magnetfeldänderungen mit der physiologischen befindlichkeit und verfahren dafür
JP2013220244A (ja) * 2012-04-18 2013-10-28 Seiko Epson Corp 画像表示装置、表示制御方法及び表示制御プログラム
US8594772B2 (en) 2008-06-03 2013-11-26 International Business Machines Corporation Method for monitoring and communicating biomedical electromagnetic fields
US8608657B2 (en) 2011-05-31 2013-12-17 Covidien Lp Clinical acceptance tool
US8968193B2 (en) 2008-09-30 2015-03-03 Covidien Lp System and method for enabling a research mode on physiological monitors
WO2015142046A1 (ko) * 2014-03-19 2015-09-24 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
KR20150110342A (ko) * 2014-03-19 2015-10-02 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
AT516204A1 (de) * 2014-08-29 2016-03-15 Peter R Mmag Hauschild Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen mit vegetativen Regulationsmechanismen eines Testsubjekts
CN106214146A (zh) * 2016-07-21 2016-12-14 昆明医科大学第附属医院 用于地磁活动诱发心脑血管事件预警的信息联合监测仪
DE102022114277A1 (de) 2022-06-07 2023-12-07 BioSign Medical UG (haftungsbeschränkt) Verfahren, Vorrichtung und ausführbares Computerprogramm zur individualisierten Quantifizierung einer respiratorischen Sinusarrhythmie

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KR101004036B1 (ko) 2009-01-07 2010-12-31 썬메디텍 (주) 모바일 무선 스트레스 측정 시스템

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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008128531A1 (de) * 2007-04-24 2008-10-30 Biosign Gmbh Verfahren und vorrichtung zur messung der stimulierten herzratenvariabilität
US9031643B2 (en) 2008-06-03 2015-05-12 International Business Machines Corporation Method for monitoring and communicating biomedical electromagnetic fields
US8594772B2 (en) 2008-06-03 2013-11-26 International Business Machines Corporation Method for monitoring and communicating biomedical electromagnetic fields
US8968193B2 (en) 2008-09-30 2015-03-03 Covidien Lp System and method for enabling a research mode on physiological monitors
DE102008061997A1 (de) * 2008-12-12 2010-06-17 Karlsruher Institut für Technologie System und Verfahren zum Stresstraining eines Benutzers
WO2010112503A1 (de) * 2009-04-02 2010-10-07 Elisabeth Plank Verwendung der herzratenvariabilitätsänderung zur korrelation von magnetfeldänderungen mit der physiologischen befindlichkeit und verfahren dafür
US20120078079A1 (en) * 2009-04-02 2012-03-29 Elisabeth Plank Use of the heart rate variability change to correlate magnetic field changes with physiological sensitivity and method therefor
US8608657B2 (en) 2011-05-31 2013-12-17 Covidien Lp Clinical acceptance tool
JP2013220244A (ja) * 2012-04-18 2013-10-28 Seiko Epson Corp 画像表示装置、表示制御方法及び表示制御プログラム
WO2015142046A1 (ko) * 2014-03-19 2015-09-24 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
KR20150110342A (ko) * 2014-03-19 2015-10-02 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
CN105960643A (zh) * 2014-03-19 2016-09-21 美迪克股份有限公司 自主神经平衡及调节能力的评价设备及其控制方法
KR20180116184A (ko) * 2014-03-19 2018-10-24 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
KR102122231B1 (ko) 2014-03-19 2020-06-15 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
KR102122240B1 (ko) * 2014-03-19 2020-06-16 주식회사 메디코아 자율신경 균형 및 조절능력의 평가 장치 및 그 제어 방법
AT516204A1 (de) * 2014-08-29 2016-03-15 Peter R Mmag Hauschild Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen mit vegetativen Regulationsmechanismen eines Testsubjekts
AT516204B1 (de) * 2014-08-29 2016-07-15 Peter R Mmag Msc Hauschild Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen mit vegetativen Regulationsmechanismen eines Testsubjekts
CN106214146A (zh) * 2016-07-21 2016-12-14 昆明医科大学第附属医院 用于地磁活动诱发心脑血管事件预警的信息联合监测仪
DE102022114277A1 (de) 2022-06-07 2023-12-07 BioSign Medical UG (haftungsbeschränkt) Verfahren, Vorrichtung und ausführbares Computerprogramm zur individualisierten Quantifizierung einer respiratorischen Sinusarrhythmie

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KR20030089208A (ko) 2003-11-21
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