WO2012091617A1 - Method for the automated remote evaluation of parameters of human or animal motor activity, respiration and pulse - Google Patents

Method for the automated remote evaluation of parameters of human or animal motor activity, respiration and pulse Download PDF

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Publication number
WO2012091617A1
WO2012091617A1 PCT/RU2011/000400 RU2011000400W WO2012091617A1 WO 2012091617 A1 WO2012091617 A1 WO 2012091617A1 RU 2011000400 W RU2011000400 W RU 2011000400W WO 2012091617 A1 WO2012091617 A1 WO 2012091617A1
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signal
parameters
frequency
object
reflected
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PCT/RU2011/000400
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French (fr)
Russian (ru)
Inventor
Леся Николаевна АНИЩЕНКО
Игорь Александрович ВАСИЛЬЕВ
Андрей Викторович ЖУРАВЛЁВ
Сергей Иванович ИВАШОВ
Владимир Всеволодович РАЗЕВИГ
Original Assignee
Государственное Образовательное Учреждение Высшего Профессионального Образования "Московский Государственный Технический Университет Имени Н.Э.Баумана" (Мгту Им. Н.Э.Баумана)
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/0507Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves using microwaves or terahertz waves
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1102Ballistocardiography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1113Local tracking of patients, e.g. in a hospital or private home
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
    • A61B5/1135Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing by monitoring thoracic expansion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/40Animals

Abstract

The invention relates to the field of the automated evaluation of human or animal parameters with the aid of electromagnetic radio signals. The problem of interest is to improve the evaluation of the parameters of respiration, heartbeat and type and intensity of motor activity of a living subject with the aid of electromagnetic signals in the radio-frequency range and to simplify the examination procedure. The method includes receiving a signal reflected from the living subject; processing and analyzing the reflected signal by determining the phase difference stemming from the signal reflected from the subject; and obtaining one or more physiological parameters of the living subject. The method differs in that it additionally includes identifying types of movement of the subject, for which purpose a probing signal with stepped frequency modulation is used, and a coherent square receiver is used as the receiver of the signals reflected from the subject. The probing signal is formed as bursts of partial frequency components in the gigahertz range. The method stages are as follows: 1) selecting the probing frequency optimum for the position of the subject relative to a transceiver unit of a device; 2) analyzing the recordings obtained for each of the probing frequencies; 3) breaking down the signal recording into intervals between the periods corresponding to the movements of the living subject; 4) determining the parameters of respiration and cardiac activity.

Description

A method of automated remote assessment parameters locomotor activity, breathing and heartbeat of the animal or human

TECHNICAL FIELD

The invention relates to an automated locomotor activity assessment parameters, breathing and heartbeat human or animal body by means of electromagnetic signals.

BACKGROUND

Parameter estimation physical activity, respiration and human heart may be relevant in many cases, for example when assessing sleep quality, diagnosis of various types of sleep disordered breathing (obstructive, central apnea, and others.). In addition, it will allow to accurately determine the number and nature of patient movement during a certain period of time, to make a conclusion about the necessity of the measures and to prevent bedsore, thus the formation of pressure ulcers, without the use of special anti-bedsore mattresses and pillows. Also, evaluation of motor activity is required for the diagnosis of movement disorders such as Parkinson's disease or the effects of stroke. The method may be used for automated evaluation state during animal experimentation in the field of pharmacology and zoopsychology.

Methods for the automated assessment of locomotor activity parameters, breathing and heartbeat human exist. All of them can be divided into contact and contactless. Some of them allow you to record these parameters simultaneously. The main advantage of non-contact methods is the fact that, unlike the contact methods, their use does not interfere with the patient, it does not affect the quality of sleep the subjects and does not affect the results of the experiments.

Proposed a contact method, wherein a ball, placed in the hollow body, at the vertices of which are installed lockable ball electrical contacts, the housing has the ability to install on the upper body of the patient (RU 2096995 C1 Patent Application entitled "Mobile device for recording and storing physiological for registering human movement recognition parameters and diagnosis of carotid-apnoeticheskogo syndrome ", publ. 27.1 1.1997). The fact that this method is in fact contact is its main disadvantage. In addition, the use of this type of sensor will affect the quality of sleep of the test (the patient can not sleep on that part of the body to which the sensor is attached) for the recording of the respiratory parameters and heart rate requires the use of additional sensors.

Also human limb movement can be detected using the accelerometers contact, fixed on the thigh (e.g., Tritrac-R3D, Hemokentics, Inc.,) or the wrist (ActiWatch AW64, MiniMitter Co.). However, this type of devices allow to evaluate the movement of only one part of the body, which are fixed.

To assess motor activity of non-contact method is proposed wherein the sensor is configured as an elastic pneumosizes (mattress or chair), the pressure of which changes with human movement (AS USSR 348203, "Pneumatic aktograf", publ. 23.08.1972). The main drawback of this type of sensor is the complexity of construction and low accuracy of the method.

the human body movement, his breathing and heart rate can also be estimated by means of piezoelectric sensors embedded in the base of the bed or beneath the mattress, if applied thereto pressure, generated electric charge, which can be detected, one of the methods based on this principle registering movements (U.S. patent 5,724,990, "apparatus for monitoring human", publ. 10.03.1998). The disadvantages of this device are similar to the previous one.

One method of contactless monitoring of physical activity, respiration and heartbeat is optical interferometry (U.S. Patent 6,352,517, "Apparatus for optically monitoring the anatomical motions and its method of use", publ. 05.03.2002). Limitations of this method include the fact that the signals of optical frequencies locked clothing and bedding, which makes it inapplicable in the case of analyzing the quality of sleep or inactive monitoring of patients.

It is possible to register movements, breathing and heart with ultrasound (US Laid-Open Patent Application 2010/0027378, "Method of detecting people", publ. 04.02.2010), but the signal to noise ratio for this type of devices is low.

It is also proposed to use radio frequency energy for similar purposes (Japanese patent application US 2009/0203972, "Method, system and apparatus for monitoring physiological signals", publ. 13.08.2009), with possible simultaneous registration of respiration and pulse frequency. Separation of motor activity signals heartbeat and respiration to be carried out with the help of specially selected filters. As the closest analog (prototype) this method is selected, since it for monitoring of the movements is proposed to use electromagnetic radiation, but the disadvantage of this method is the fact that there is no ability to recognize different types of movements, such as movements of the limbs, head, torso, which is particularly relevant when assessing the patient's quality of sleep, and the monitoring of inactive patients and patients undergoing surgery. Another disadvantage of the method is the need for precise positioning relative to the human range of the device, otherwise possible distortion of the desired signal, its capacity drop, since the subject will extend beyond the zone of the device.

SUMMARY OF THE iNVENTION

An object of the invention is to improve automated estimation of respiratory parameters, heart rate, type and intensity of physical activity the human or animal body by means of electromagnetic signals of radio frequency and simplification of the measurement procedure, namely: no need for precise positioning of range with respect to the human or animal and the improvement of quality of noncontact analysis of patient motion, the pattern of his breathing and heartbeat.

This object is achieved in that the method for automated remote assessment of motor activity parameters, breathing and heartbeat human or animal includes receiving a signal reflected from said live object; processing and analysis of the reflected signal by determining the phase difference due to the signal reflected from the object; receiving one or more physiological parameters of the object. The above physiological parameters comprise one or several parameters characterizing the breathing, cardiac activity and body movements of the object; converting the selected information received to a form accessible to the user. The method is characterized in that it further includes detection of object type movements, this is done using a probe signal with a stepped frequency modulation, and as a receiver of reflected signals from an object using a quadrature coherent receiver.

The sounding signal is formed predominantly in the form of bursts N = 4..64 partial frequency components gigahertz frequency band, the value of k-th frequency component in the stack is determined by the formula f k = ^ + k - Af , where /, - first of N frequencies, Δ / - step frequency, k = \ ..N - serial number of the frequency component.

The method includes the successive steps of: 1) selecting a probe frequency, the optimum position of the object relative to the transceiver unit, 2) analysis and comparison of recordings obtained for each of the probing frequency; 3) partitioning the signal recording intervals between the periods corresponding to the body movements of a living object; 4) determining the respiration parameters and heart activity.

This increases the informativeness noncontact analysis of physiological parameters of a living object by detecting various types of movement, thus in contrast to the prior art there is no need for accurate positioning of the receiver relative to the human range.

Each of the N s quadrature frequency components in the recorded signal contains information about how to move the reflecting surface of a living being, however, in view of the fact that each of the probe frequency different from subsequent to Δ /, information recorded for each of them is different in amplitude and spectral composition that allows confident registration useful signal for any distance between the antenna unit and the patient within 20 m. procedure for the preparation of a study simplified since no The necessity Mosti positioning device at a certain distance to the person in order to obtain a satisfactory signal quality.

List of figures

FIG. 1 - scheme of the device for carrying out the method.

FIG. 2 - diagram recognizing different types of motion using a device implementing the method.

FIG. 3, 4, 5 - graphs of recorded signals.

PREFERRED EMBODIMENTS For carrying out the method using the device (1 circuit) with the following functional components. "Crystal oscillator" synchronizes operation of the transmitter and the receiver. "Transmitter" generates a signal with a stepwise frequency modulated in accordance with predetermined parameters. "Receiver" superheterodyne circuit constructed with double-conversion frequency (this ensures high sensitivity, selectivity and noise immunity) provides a reception signal reflected from a biological object, its conversion and obtaining at the output two quadrature components. It is designed for receiving the electromagnetic signal. "Output device" includes amplifiers and analog multichannel bandpass filter (AMPPF) for filtering the dc component and high frequency noise from the transmitter at each frequency for each of the quadrature component. ADC provides digitize each of the two quadrature components. "Microcontroller" is intended to control the synthesizer frequency in a transmitter frequency synthesizer in the receiver, AMPPF and provides a record of the digitized values ​​to a file that is transmitted to a personal computer (PC) for further processing: selection of the registered data signal on the parameters of respiration, heart beat, the types and intensity of movements.

A method of remote automated locomotor activity assessment parameters, breathing and heartbeat of the animal or human is as follows. The signal emitted by the transmitter is reflected from the interface between media with different dielectric properties. The signal reflected from the human or animal body acquires a specific modulation caused by movement of the body as a whole, its breathing and heartbeat. The reflected signal is detected by the receiver and supplied to an output device, after which the signal is digitized using the ADC and transmitted to the PC. In the PC using filtering algorithms, the received signal is divided into the implementation of respiration, heart rate and physical activity. Further on registered accounts for 16-quadrature and frequencies are searched initial moments of individual movement sequences, comparison of entry segments corresponding to the movement for each of the probing frequency, whereupon it is concluded supplies the selected sequence of movements to a certain type. To distinguish the various types of physical activity detection algorithm proposed various types of motions consisting of the following steps:

• selection quadrature recorded signal having the maximum power spectral density;

• determining for a selected threshold value of the quadrature characteristic of the motor activity;

• localization in selected quadrature with the selected threshold time interval when motion artifacts are observed (t A, A = 1,2 ..., where M is the number of motion artifacts), and when they are absent (t c, C = 1, 2 ... M + 1);

• determining for each of the intervals t c quadrature recorded signal (QNum c), having a maximum spectral power density at a predetermined time interval;

• comparison of power spectral density for the selected quadrature in neighboring areas t c and t c + 1 and the power spectral density for motion artifacts in the time interval t A, for A = C, in order to determine the type of motion artifact occurring at time t A.

Example of the method.

The subject (person) positioned on a bed in a supine position, at a distance of 3 m from the installed and directed onto the bed and desk transmitter antenna device. As probe was used the signal signal generated in the form of packs of 16 frequency components in a range from 3.6 to 4.0 GHz. Record the reflected conducted within 30 minutes of the test signal.

During this time, the operator test team performed the following steps:

1) lying still, while using the proposed method was carried selection breathing and heartbeat signals from the source signal received by the device (Fig 3).;

2) slid right hand, bending it at the elbow (Figure 4) corresponding to the type of movements recording portion is detected by a method and classified as "hand movement".; 3) changes of body position relative to the device, turning back at the right side (Fig. 5) corresponding to the type of movements recording portion is detected by a method and classified as a "rotation body."

FIG. 3, 4, 5 shows the signals corresponding to the quadrature having the maximum spectral power at plochnost timeslot illustrated in each graph. When the body position changing device changes the relative frequency and number of squaring having r symazhnuyu power spectral density Zhgbrannom timeslot, so in FIG. 5 shows plots of two quadratures, one of which (shown in dotted line) has the maximum spectral power plogaost the time interval preceding the body rotation, and a second (shown entirely line) - for the subsequent turning of the body slot.

Claims

Claim:
1. A method for automated remote assessment of motor activity parameters, breathing and heartbeat of the animal or human, comprising receiving a signal reflected from said live object; processing and analysis of the reflected signal by determining the phase difference due to the signal reflected from the object; receiving one or more physiological parameters of the object, the abovementioned physiological parameters comprise one or several parameters characterizing the breathing, cardiac activity and body movements of the object; converting the selected information received to a form accessible to the user, characterized in that it further includes detection of object type movements, this is done using a probe signal with a stepped frequency modulation, and as a receiver of reflected signals from an object using a quadrature coherent receiver.
2. A method according to claim 1, characterized in that the probe signal is formed in the form of bursts N = 4..64 partial frequency components gigahertz frequency band, the value of k-th frequency component in the stack is determined by the formula f k = f x + a · Δ /, where f - the first of the N frequencies, Δ / - frequency step, to = 1..N - sequence number of the frequency component.
3. A method according to claim 1, characterized in that it includes successively the steps of: selecting a probe frequency, the optimum position of the object relative to the transceiver unit; Analysis and comparison of recordings obtained for each of the probing frequency; partitioning the signal recording intervals between the periods corresponding to the body movements of a living object; determining breathing parameters and cardiac function.
PCT/RU2011/000400 2010-12-30 2011-06-08 Method for the automated remote evaluation of parameters of human or animal motor activity, respiration and pulse WO2012091617A1 (en)

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Publication number Priority date Publication date Assignee Title
RU2610146C1 (en) * 2015-09-29 2017-02-08 Федеральное государственное казённое образовательное учреждение высшего профессионального образования "Калининградский пограничный институт Федеральной службы безопасности Российской Федерации" Radio-wave doppler detector

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4085740A (en) * 1966-03-28 1978-04-25 Lockheed Corporation Method for measuring physiological parameter
RU2097085C1 (en) * 1994-04-18 1997-11-27 Олег Иванович Фисун Microwave life detector
US20040249258A1 (en) * 2003-06-04 2004-12-09 Tupin Joe Paul System and method for extracting physiological data using ultra-wideband radar and improved signal processing techniques
RU2392853C1 (en) * 2008-09-26 2010-06-27 Закрытое Акционерное Общество "Нанопульс" Method of remote breath and heartbeat parametre measurement

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4085740A (en) * 1966-03-28 1978-04-25 Lockheed Corporation Method for measuring physiological parameter
RU2097085C1 (en) * 1994-04-18 1997-11-27 Олег Иванович Фисун Microwave life detector
US20040249258A1 (en) * 2003-06-04 2004-12-09 Tupin Joe Paul System and method for extracting physiological data using ultra-wideband radar and improved signal processing techniques
RU2392853C1 (en) * 2008-09-26 2010-06-27 Закрытое Акционерное Общество "Нанопульс" Method of remote breath and heartbeat parametre measurement

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