WO2013037399A1 - Système et procédé de détection d'un profil de signaux lié à un signe vital - Google Patents

Système et procédé de détection d'un profil de signaux lié à un signe vital Download PDF

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Publication number
WO2013037399A1
WO2013037399A1 PCT/EP2011/065790 EP2011065790W WO2013037399A1 WO 2013037399 A1 WO2013037399 A1 WO 2013037399A1 EP 2011065790 W EP2011065790 W EP 2011065790W WO 2013037399 A1 WO2013037399 A1 WO 2013037399A1
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WO
WIPO (PCT)
Prior art keywords
signal
radar
vital
detecting
signal pattern
Prior art date
Application number
PCT/EP2011/065790
Other languages
English (en)
Inventor
José María GÓMEZ CAMA
Mireya FERNÁNDEZ CHIMENO
Alan MONTESI
Manuel Carmona Flores
Tomás CARRASCO CARRILLO
Cristian VILAR GIMÉNEZ
Original Assignee
Ficomirrors, S.A.
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Publication date
Application filed by Ficomirrors, S.A. filed Critical Ficomirrors, S.A.
Priority to PCT/EP2011/065790 priority Critical patent/WO2013037399A1/fr
Publication of WO2013037399A1 publication Critical patent/WO2013037399A1/fr

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Classifications

    • 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 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
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
    • A61B5/1135—Measuring 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6893—Cars
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • A61B5/721—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/50—Systems of measurement based on relative movement of target
    • G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/20—Workers
    • A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb

Definitions

  • the present invention relates to a system for detecting a vital-related signal pattern of a seated person in a vehicle seat.
  • the invention also refers to a method for detecting a vital-related signal pattern of a seated person in a vehicle seat, and to a computer program suitable for carrying out such a method.
  • Automotive passive security has evolved into an active security through electronic and digital systems development. These active solutions involve actions to minimize damages of passengers and to avoid collisions, like airbags, assisted breaking systems (ABS) or stability and traction control systems (ESP). These active solutions sense some automotive parameters, process them, and execute an action after collision happens, for example shooting the airbags, or selectively braking some the vehicle's tires to recover a correct trajectory.
  • ABS assisted breaking systems
  • ESP stability and traction control systems
  • the next automotive security objective is to sense mechanicals automotive parameters and combine them with biomedical driver information to minimize collision risk situations.
  • This human state evaluation is a complex field that requires a subjective information processing and the sensing of biometric parameters in a non-invasive way, such as eye movements and blinking, hear rate (HR) or respiration rate (RR).
  • HR hear rate
  • RR respiration rate
  • This biomedical driver information needs to be acquired by using a no- invasive measurement instrumentation in order to aavoid disturbing the driver movements and to ease car usage.
  • driver's bio-signals detection and more specifically detection by means of radar-based devices
  • the radar is typically arranged in front of the driver, since said position is commonly assumed to be the best one for obtaining clear radar signals in a vehicle environment. The main reason is the large displacement of the sternum due to respiratory activity, compared to the back movements.
  • patent application US2005073424A1 discloses a system and related method for sensing information related to the position and/or movements of the body of a living being, or an inner part of the body.
  • this patent application describes an embodiment in which the radar is arranged in the steering wheel, as graphically illustrated in Figure 7.
  • a system for detecting a vital-related signal pattern of a seated person in a vehicle seat comprising a substantially horizontal base and a substantially vertical backrest having a front surface accommodating the back of the seated person when in use, and a rear surface, the system further comprising:
  • At least one Doppler radar arranged behind the front surface of the backrest, in such a way that a main radiation lobe of the emitter/receiver of the Doppler radar is focused towards the front surface of the backrest;
  • a vital-related signal of a person being related to, for example, his heart rate or his respiration rate, is very difficult if not impossible to obtain by means of a Doppler radar being focused directly towards the back of the person.
  • the movement related to such vital signals is transmitted to the structure of the backrest of the seat, which has a cushion effect and allows assessing the movement of the body through the surface of the backrest.
  • a correct or valid vital-related signal is being obtained by the Doppler radar.
  • valid vital-related signals may be used to further monitor the status of the driver of the vehicle (for example, a change in the physical status of the driver or a possible heart or respiratory failure can be monitored based on the detected vital-related signal pattern, which may not be normal for a person which is driving a vehicle).
  • the Doppler radar is arranged in such a way that the emitter/receiver of the radar and the surface of the backrest are arranged with a minimum distance between them of 1/4 of the wavelength used by the Doppler radar.
  • the emitter/receiver of the radar comprises an antenna which emitts and receives, thus making the emitter and receiver being arranged within the same plane, related to its corresponding emitted and received signals.
  • the Doppler radar is arranged at a maximum distance of 1/5th of the shoulder breadth for the 5% thinnest women, corresponding to a distance between 0 and 4 cm with respect of a vertical axis of simmetry the backrest, based on the values defined in ISO/TR 7250-2:2010.
  • the Doppler radar is arranged at a height between 5% of the women height and 95% of the men height, corresponding to 373 mm and 444 mm respectively, referenced to the surface of the seat base, based on the values defined in ISO/TR 7250-2:2010.
  • the system further comprises a mechanism for changing the height of the Doppler radar with respect to the surface of the base of the seat.
  • the Doppler radar is affixed to a support structure arranged in the backrest of the seat, the support structure having a rigidity such that allows a movement of the Doppler radar of less than 0.2mm, in the direction of the main radiation lobe with an acceleration below 3g.
  • the system further comprises at least one first inertial sensor arranged with the Doppler radar, for obtaining a parameter related to the inertial movement of the radar; a module for verifying if the parameter obtained by the first sensor is greater than a predetermined threshold, and a module for, in case of positive result of said verification, identifying the detected signal pattern as a non-valid pattern.
  • the inertial sensor may be, for example, attached to the surface of the radar, or to a support structure of the radar, in such a way that it senses the movements of the radar relative to the vehicle seat.
  • the radar is mounted on the rear surface of the backrest, whenever a movement of the backrest occurs because of the seated person moving it manually, the car movement and vibration during a normal car displacement on the road, or because of the vehicle stopping abruptly, the radar may also move accordingly.
  • the passanger chest Since the passanger chest is not completely fixed to the backrest of the seat, it may act as an inertial moving mass during car movements, which may cause movements of the backrest. Therefore, the system can detect said unusual movements and, depending on its strength, deeming the vital-related signal pattern unusable because of the noise added by such movement to the obtained Doppler signal.
  • a gyroscope may be used as the inertial sensor, because of its higher accuracy in the type of motion of the backrest, although an accelerometer or other inertial sensor may also be suitable to be used.
  • the system also comprises at least one second inertial sensor arranged in the base of the seat, for obtaining a parameter related to the inertial movement of the seat; a module for verifying if the parameter obtained by the second sensor is greater than a predetermined threshold, and a module for, in case of positive result of said verification, identifying the detected signal pattern as a non-valid pattern.
  • the base of the seat may also suffer from movements which may affect the obtained radar signal, such as car movements made by bumps on the road, fast stops, etc. These movements may also add noise to the obtained signal and, in a similar way as in the case of the backrest, a verification of if such a movement deems the signal non-valid to detect a vital- related signal pattern may be performed.
  • the second inertial sensor may preferably be an accelerometer, although a gyroscope or other type of inertial sensors may also be suitable.
  • a method for detecting a vital- related signal pattern of a seated person in a vehicle seat comprising: - obtaining a radar signal by means of a Doppler radar;
  • a Doppler radar signal is emitted towards the back of the person seated in the vehicle seat, thus reflecting in it and being obtained by the Doppler radar.
  • the in-phase l(t) signal and the quadrature Q(t) signal are extracted by any of the calculations widely known in the state of the art, which can be represented in an l/Q diagram.
  • a centre of said ellipse or circle is identified.
  • Such an identification is preferably performed during the accommodation of the person in the seat (i.e., when he is first entering the vehicle and seated in the seat), since during a brief but enough period of time the person is moving in such a way that at least one clear ellipse is defined in the l/Q diagram of the received radar signal.
  • the position of the identified centre will depend on the position of the radar relative to the back of the person, and the radar components, and will typically not be centred in the representation of the l/Q diagram, and therefore a coordinate in the l/Q representation will be identified related to said centre.
  • identifying at least one centre of at least one ellipse comprises:
  • detecting the vital-related signal pattern based on the obtained radar signal and the identified centre, comprises:
  • the characteristic signal being related to at least one of: phase of the corrected in-phase signal and quadrature signal, radius of the corrected in- phase signal and quadrature signal, and frequency shift of the corrected in- phase signal and quadrature signal.
  • a correction to further obtained radar signals is applied to be able to obtain the information correctly, since other obtained in-phase and quadrature signals from other obtained radar signals (for example, when the person is driving and movement of the car is occurring), may normally not be forming an ellipse when represented in an l/Q diagram. Therefore, the signals are corrected to be referred to the real centre of the l/Q diagram by subtracting the l/Q diagram position coordinates of the previously identified centre. Afterwards, a demodulation is performed on the corrected l/Q signals in order to obtain information related to the signals which may be useful to subsequently detect a vital-related pattern. Such demodulation will depend on which characteristic signal is wanted to be obtained.
  • an arctangent demodulation calculation may be applied.
  • the detection is finally performed when, by comparison, at least one predetermined vital-related pattern is identified in the demodulated signal.
  • a number of predetermined patterns may be pre-stored in the system, each one related to a vital of a person while driving, such as the respiration rate or the heart rate, and thus, whenever one of those predetermined patterns matches the demodulated signal, the vital-related pattern is detected, and it is determined that the person is actually having, in this case, such a respiration rate or heart rate.
  • the method may also comprise obtaining a signal related to the movement of the backrest of the seat, by means of a first inertial sensor, which may be, for example, a gyroscope, and wherein detecting the vital- related signal pattern further comprises taking into account the obtained signal related to the movement.
  • a first inertial sensor which may be, for example, a gyroscope
  • detecting the vital- related signal pattern further comprises taking into account the obtained signal related to the movement.
  • the method may also comprise obtaining a signal related to the movement of the base of the seat, by means of a second inertial sensor, which may, for example, an accelerometer, and wherein detecting the vital- related signal pattern further comprises taking into account the obtained signal related to the movement of the base.
  • a second inertial sensor which may, for example, an accelerometer
  • detecting the vital- related signal pattern further comprises taking into account the obtained signal related to the movement of the base.
  • other movements related to the acceleration of the whole vehicle seat may be taken into account, and, in the same way as in the inertial sensor arranged in the backrest of the seat, may be used to consider a signal to be valid or not because of the noise added by, for example, car movements and/or vibrations.
  • the invention provides a computer program product comprising program instructions for causing a computer to perform a method for detecting a vital-related signal pattern of a seated person in a vehicle seat.
  • the computer program product may be embodied on a storage medium.
  • the computer program product may be carried on a carrier signal.
  • Figure 1 is a schematic representation of a first system according to a first embodiment of the invention and of a second system according to a second embodiment of the invention;
  • Figure 2 shows a first graphic reflecting respiration rate data obtained from a system according to an embodiment of the invention under determined conditions, and a second graphic reflecting respiration rate data obtained from a plethysmographic band under the same determined conditions;
  • Figure 3 shows two different inner views of a system according to an embodiment of the invention
  • Figure 4 shows different graphics representing respiration rate data obtained from different vertical positions of the radar of a system according to an embodiment of the invention
  • Figure 5 is a schematic representation of some anthropomorphic data for obtaining a suitable range of vertical positions of the radar of a system according to an embodiment of the invention
  • Figure 6 shows different graphics representing respiration rate data obtained from different horizontal positions of the radar of a system according to an embodiment of the invention
  • Figure 7 is a graphic representing the relation between in-phase l(t) and quadrature Q(t) over time, said l(t) and Q(t) being obtained from a radar of a system according to an embodiment of the invention
  • Figure 8 shows a two dimensional graphic representing the relation between in-phase l(t) and quadrature Q(t), and a three-dimensional graphic representing the relation between in-phase l(t) and quadrature Q(t) over time, said l(t) and Q(t) being obtained from a radar of a system according to an embodiment of the invention
  • Figure 9 is a graphic illustrating some main concepts for identifying at least one centre of at least one ellipse of the obtained l(t)-Q(t) relation in a method according to an embodiment of the invention.
  • Figure 10 shows a graphic representing data obtained from a radar and data obtained from a gyroscope related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention
  • Figure 1 1 shows a graphic representing data obtained from a radar and data obtained from an accelerometer related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention
  • Figure 12 shows a graphic representing data obtained from a radar, data obtained from an accelerometer related to the radar and data obtained from a gyroscope related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention.
  • Figure 1 refers to a first system for detecting a vital-related signal pattern of a seated person in a vehicle seat according to a first embodiment of the invention, and to a second system for detecting a vital-related signal pattern of a seated person in a vehicle seat according to a second embodiment of the invention.
  • FIG. 1 a shows a seat 1 1 comprising a substantially horizontal base 16 and a substantially vertical backrest 15 having a front surface 12 accommodating the back of the seated person 10 when in use, and a rear surface 19.
  • This seat 1 1 comprises a system for detecting a vital-related signal pattern of a seated person 10, said system comprising a Doppler radar 14 arranged inside of the backrest 15 in such a way that a main radiation lobe 18 of the emitter/receiver of the Doppler radar 14 is focused towards the front surface 12 of the backrest 15.
  • This system also comprises a module for detecting, based on a radar signal obtained by the Doppler radar 14, a signal pattern related to a vital of the seated person 10.
  • the system of Figure 1 a also comprises a gyroscope 13 arranged with the Doppler radar 14, for obtaining a parameter related to the inertial movement of the radar; a module (not shown) for verifying if the parameter obtained by the gyroscope 13 is out of a predetermined threshold range; and a module (not shown) for, in case of positive result of said verification, identifying the detected signal pattern as a non-valid pattern.
  • the system could comprise an accelerometer 13 or any other inertial sensor arranged with the radar 14 providing the same or equivalent results.
  • the system of Figure 1 a also comprises an accelerometer 17 arranged in the base 16 of the seat, for obtaining a parameter related to the inertial movement of the seat; a module (not shown) for verifying if the parameter obtained by the accelerometer 17 is out of a predetermined threshold range; and a module (not shown) for, in case of positive result of said verification, identifying the detected signal pattern as a non-valid pattern.
  • the system could comprise a gyroscope 17 or any other inertial sensor arranged in the base 16 of the seat providing the same or equivalent results.
  • the system of Figure 1 b is identical to the system of Figure 1 a, with the only difference of that the radar 14 and its related gyroscope 13 (or accelerometer 13) is attached to the rear surface 19 instead of the Doppler radar 14 being arranged inside of the backrest 15.
  • the Doppler radar 14 is arranged in such a way that the emitter/receiver of the Doppler radar 14 and the front surface 12 of the backrest are arranged with a minimum distance between them of 1/4 of the wavelength used by the Doppler Radar 14. This minimum distance will make possible to obtain at least one ellipse defined by the calculated in-phase l(t) and quadrature Q(t) signal over a predetermined period of time, as it will be described in detail in later descriptions.
  • the Doppler radar 14 has the function of measuring the motion over the front surface 12 of the backrest 15.
  • the motion x(t) measured is due to a frequency shift 6(t) between the transmitted and reflected radar 14 electromagnetic continuous waves. It may be assumed that the target movement (of the seated person) is periodic with cero mean velocity, so Doppler shift can be expressed as a phase modulation as follows:
  • the Doppler radar 14 measures the position of the seated person 10 (e.g. driver), which includes the respiration rate RR(t) (which is typically found within the range of 0.1 Hz and 0.35Hz) , the heart rate HR(t), and all driver movements related to the car displacement, engine vibration and driving motion, such as car steering or gear shifting.
  • the Doppler radar quadrature receiver outputs can be expressed related to the target distance d, heart rate and respiration rate as follows:
  • the centre displacement of the elliptical spiral defined by the representation of the diagram of l(t) and Q(t) may be removed from l(t) and Q(t), in order to obtain more reliable l(t) and Q(t) values.
  • phase is defined between - ⁇ and ⁇ . If target movements exceed the radar wavelength, a -2 ⁇ or 2 ⁇ discontinuity is obtained. The target distance may be calculated by using the Riemann sheets and, therefore linking discontinuous results adding or subtracting 2 ⁇ phase.
  • Figure 2 shows a first graphic reflecting respiration rate data obtained by a system according to an embodiment of the invention under determined conditions, and a second graphic reflecting respiration rate data obtained by a plethysmographic band under the same determined conditions.
  • the respiration rate data obtained by a system according to an embodiment of the invention is shown in Figure 2a and refers to the variation of the target distance (calculated from radar signals) over time.
  • the respiration rate data obtained by the plethysmographic band is shown in Figure 2b.
  • Figure 3 shows two different inner views of a system according to an embodiment of the invention.
  • Figure 3a shows a view of a seat comprising an embodiment of the system very similar to the embodiments depicted in Figure 1
  • Figure 3b shows a cross section of the embodiment of Figure 3a according to the plane 30 and from the point of view 31 .
  • This cross section shows a typical metallic grid 32 found inside the backrest of the seat, between the radar 14 and the front surface 12.
  • This grid 32 or any other similar element with structural and/or comfort purposes comprises a zone 32a with minimum quantity of metallic composition, which is used to arrange the radar 14, in order to avoid as much as possible interferences negatively affecting the radar operation.
  • Figure 3c refers to the same view offered by Figure 3a, whereas Figure 3d shows a cross section of the embodiment of Figure 3c according to the plane 33 and from the point of view 34.
  • This cross section shows a rigid H-shaped structure comprising a crossbar or a similar support element to which the radar is fixed.
  • the measuring system the radar
  • the measuring system could be placed in a relatively soft support (crossbar or other structure), which could move relative to the seat and the person.
  • crossbar or other structure For analyzing this structure it can be considered, for example, a bar 37 anchored between two vertical structures 35,36 belonging to the seat back.
  • an approximate ki min of about 600 N/m may be set.
  • Figure 4 shows different graphics representing respiration rate data obtained from different vertical positions of the radar of a system according to an embodiment of the invention.
  • Figure 4a shows the variation of the phase 40 calculated from radar signals over time when the radar is placed at the height of the T6 vertebra of a middle-sized body.
  • Figure 4b shows the variation of the phase 41 calculated from radar signals over time when the radar is placed at the height of the T7 vertebra a middle-sized body.
  • Figure 4c shows the variation of the phase 42 calculated from radar signals over time when the radar is placed at the height of the T8 vertebra of a middle-sized body.
  • Figure 4a shows the variation of the phase 43 calculated from radar signals over time when the radar is placed at the height of the T9 vertebra of a middle-sized body.
  • phase 41 corresponding to the T7 vertebra measurement
  • Figure 5 is a schematic representation of some anthropomorphic data for obtaining a suitable range of vertical positions of the radar of a system according to an embodiment of the invention. According to ISO/TR 7250-
  • the eyes 50 are at a height 53 of 1760 mm for 95% of men and at a height 53 of 1410 mm for 5% of the women, and that the hip 51 is at a height 52 of 1020 mm for 95% of men and at a height 52 of 750 for 5% of women.
  • the second cervical vertebra (C2) is at the height 53 of the eyes 50, and the fifth lumbar at the height 52 of the hip 51 , the total spine height between both vertebrae may be calculated as follows:
  • Figure 6 shows different graphics representing respiration rate data obtained from different horizontal positions of the radar of a system according to an embodiment of the invention.
  • Figure 6a shows the variation of the phase 60 calculated from radar signals over time when the radar is substantially arranged on a vertical axis of symmetry of the backrest.
  • Figure 6b shows the variation of the phase 61 calculated from radar signals over time when the radar is substantially horizontally arranged 2cm from the vertical axis of symmetry of the backrest.
  • Figure 6c shows the variation of the phase 62 calculated from radar signals over time when the radar is substantially horizontally arranged 4cm from the vertical axis of symmetry of the backrest.
  • Figure 6b shows the variation of the phase 63 calculated from radar signals over time when the radar is substantially horizontally arranged 6cm from the vertical axis of symmetry of the backrest.
  • the phase calculated from radar signals over time is distinguishable in Figures 6a, 6b and 6c, but not in 6d. Therefore, in preferred embodiments of the system, the Doppler radar will be arranged at a distance between 0 and 4 cm with respect of a vertical axis of symmetry of the backrest.
  • Figure 7 is a graphic diagram representing the relation between in-phase l(t) and quadrature Q(t) over time, said l(t) and Q(t) being obtained from a radar of a system according to an embodiment of the invention. Particularly, Figure 7 shows an l(t)-Q(t) three-dimensional diagram of a person with a medium body mass index versus acquisition time.
  • the first one 70 may be assumed as related to the person accommodation, with movements that exceed the radar wavelength and cause at least one closed spiral ellipse
  • the second section 72 may be assumed as the motion of the person due to the car movements and respiration, said motion causing an open spiral ellipse
  • the last section 71 may be assumed as only representing the chest movements of the person during e.g. a straight line driving and therefore without significant car accelerations.
  • Different experiments with people of different nature may be carried out for empirically obtaining a predetermined vital-related pattern from the different sections 71 (only representing the chest movements) obtained from the experiments. This predetermined vital-related pattern may be used for detecting a vital-related signal pattern during normal operation of the system.
  • Figure 8 shows a two dimensional graphic diagram representing the relation between in-phase l(t) and quadrature Q(t), and a three-dimensional graphic representing the relation between in-phase l(t) and quadrature Q(t) over time, said l(t) and Q(t) being obtained from a radar of a system according to an embodiment of the invention.
  • Figure 8a shows a two-dimensional view 80 of section 71 shown in Figure 7, and Figure 8b shows the relation between in-phase l(t) and quadrature Q(t) over time with no driving and stopped car engine in order to analyse the respiration movements of the passenger and extract the effects of the moving car.
  • Figure 8b allows concluding that passenger chest movements related to his respiration may be perfectly identified by an open elliptical spiral.
  • Figure 9 is a graphic diagram illustrating several characteristics for identifying at least one center of at least one ellipse of the obtained relation between l(t) and Q(t), in a method according to an embodiment of the invention.
  • This elliptical spiral center voltage may be determined by using the l(t)-Q(t) diagram data; in particular by measuring the maximum 93 and minimum 94 l(t) voltages and the maximum 91 and minimum 92 Q(t) voltages, and calculating the mean to find the elliptical spiral center 90.
  • the calculation of the elliptical spiral center needs at least one complete substantially closed elliptical spiral and therefore chest movements greater than the operation wavelength of the Radar; in case of using a Doppler radar with a 24GHz frequency signal, movements must be over 1 ,25cm.
  • These calibration procedures may be performed during the passenger seat accommodation or during car initial displacement on a road and detected by an accelerometer fixed inside the back seat.
  • the ellipse center can also be calculated a priory by taking measurements with the Doppler radar focused towards infinite, that is, with no object close to the radar range (in this case, up to 3 meters).
  • This calibration of the radar can be performed before installing the system in the vehicle, but a self-calibration method based on the l-Q diagram data is also possible, which allows correcting small imbalances during operation time due to temperature differences, electronic instrumentation variation offsets or small radar position changes.
  • Figure 10 shows a graphic diagram representing data obtained from a radar and data obtained from a gyroscope related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention.
  • Figure 10a shows how the target distance (calculated from radar signals) changes over time
  • Figure 10b shows how the angular velocity (calculated from gyroscope signals) changes over time.
  • Figure 10b also shows a predetermined range 103 in which the variation of the angular velocity is assumed as indicating a negligible amount of distorting movements (in this case, different from respiration motion) according to the target distance from the radar; that is to say, a time interval 102 in which the angular velocity does not exceed the range 103 may be understood as a time interval 101 of the target distance from the radar corresponding to a valid signal pattern related to a vital (in this case, respiration) of the seated person.
  • a time interval 102 in which the angular velocity does not exceed the range 103 may be understood as a time interval 101 of the target distance from the radar corresponding to a valid signal pattern related to a vital (in this case, respiration) of the seated person.
  • Figure 1 1 shows a graphic diagram representing data obtained from a radar and data obtained from an accelerometer related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention.
  • Figure 10a shows how the target distance (calculated from radar signals) changes over time
  • Figure 10b shows how acceleration (calculated from accelerometer signals) changes over time.
  • Figure 10b also shows a predetermined range 1 13 in which the variation of the acceleration is assumed as indicating a negligible amount of distorting movements (in this case, different from respiration motion) according to the target distance from the radar; that is to say, a time interval 1 12 in which the acceleration does not exceed the range 1 13 may be understood as a time interval 101 of the target distance from the radar corresponding to a valid signal pattern related to a vital (in this case, respiration) of the seated person.
  • a time interval 1 12 in which the acceleration does not exceed the range 1 13 may be understood as a time interval 101 of the target distance from the radar corresponding to a valid signal pattern related to a vital (in this case, respiration) of the seated person.
  • Figure 12 shows a graphic diagram representing data obtained from a radar, data obtained from an accelerometer related to the radar and data obtained from a gyroscope related to the radar, and how both data are combined to determine a valid vital-related signal pattern, according to an embodiment of the method of the invention.
  • Figure 12 refers to how a valid signal pattern may be determined by e.g.
  • any of the systems referred by Figure 1 each of them comprising a gyroscope 13 arranged with the Doppler radar 14 and an accelerometer 17 arranged in the base 16 of the seat.
  • a time interval 121 corresponding to a valid signal pattern related to a vital (in this case, respiration) of the seated person is obtained from the intersection of the time interval 1 12 in which the acceleration does not exceed the range 1 13 and the time interval 102 in which the angular velocity does not exceed the range 103.
  • This way of determining the valid time interval makes the method more reliable, since any signal from either the gyroscope or the accelerometer indicating distorting motions invalidates the corresponding signal from the radar as part of a vital-related signal pattern.
  • vital-related signal patterns may be detected by comparing the values calculated from the radar with an empirically predetermined vital-related pattern, it is more reliable to further use angular velocity measures (from one or more gyroscopes) and acceleration measures (from one or more accelerometers) as described in the three previous paragraphs.
  • the embodiments of the invention described with reference to the drawings comprise computer apparatus and processes performed in computer apparatus, the invention also extends to computer programs, particularly computer programs on or in a carrier, adapted for putting the invention into practice.
  • the program may be in the form of source code, object code, a code intermediate source and object code such as in partially compiled form, or in any other form suitable for use in the implementation of the processes according to the invention.
  • the carrier may be any entity or device capable of carrying the program.
  • the carrier may comprise a storage medium, such as a ROM, for example a CD ROM or a semiconductor ROM, or a magnetic recording medium, for example a floppy disc or hard disk.
  • the carrier may be a transmissible carrier such as an electrical or optical signal, which may be conveyed via electrical or optical cable or by radio or other means.
  • the carrier may be constituted by such cable or other device or means.
  • the carrier may be an integrated circuit in which the program is embedded, the integrated circuit being adapted for performing, or for use in the performance of, the relevant processes.

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Abstract

La présente invention concerne un système de détection d'un profil de signaux lié à un signe vital d'un individu assis (10) dans un siège de véhicule (11), le siège comprenant une base sensiblement horizontale (16) et un dossier sensiblement vertical (15) ayant une surface avant (12) recevant le dos de l'individu assis durant l'utilisation, et une surface arrière (19), le système comprenant en outre : au moins un radar Doppler (14) disposé derrière la surface avant du dossier, de telle manière qu'un lobe de rayonnement principal (18) de l'émetteur/récepteur du radar Doppler est focalisé en direction de la surface avant du dossier; et un module de détection, basé sur un signal radar obtenu par le radar Doppler, d'un profil de signaux lié à un signe vital de l'individu assis.
PCT/EP2011/065790 2011-09-12 2011-09-12 Système et procédé de détection d'un profil de signaux lié à un signe vital WO2013037399A1 (fr)

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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015046055A1 (fr) * 2013-09-27 2015-04-02 アルプス電気株式会社 Dispositif de détection d'information biologique et siège équipé du dispositif de détection d'information biologique
LU92541B1 (en) * 2014-09-10 2016-03-11 Iee Sarl Radar sensing of vehicle occupancy
WO2016205891A1 (fr) * 2015-06-26 2016-12-29 Resmed Limited Diagnostic et surveillance de troubles cardiorespiratoires
JP2017136239A (ja) * 2016-02-04 2017-08-10 オムロンオートモーティブエレクトロニクス株式会社 生体情報検知装置
JP2017169726A (ja) * 2016-03-23 2017-09-28 カシオ計算機株式会社 測定装置、測定方法、及び測定プログラム
JP2018029762A (ja) * 2016-08-24 2018-03-01 オムロンオートモーティブエレクトロニクス株式会社 生体情報検出装置
JP2018102814A (ja) * 2016-12-28 2018-07-05 クラリオン株式会社 センサ取付ユニット
WO2018224612A1 (fr) * 2017-06-07 2018-12-13 Iee International Electronics & Engineering S.A. Classification et surveillance de passagers fondées sur un radar
LU100364B1 (en) * 2017-08-04 2019-02-06 Iee Sa Radar-Based Passenger Classification and Monitoring
LU100925B1 (en) * 2018-09-10 2020-03-10 Iee Sa Removing noise caused by vehicular movement from sensor signals using Deep Neural Networks
CN111345799A (zh) * 2018-12-24 2020-06-30 长城汽车股份有限公司 生命体征测量方法和装置
WO2020196916A1 (fr) * 2019-03-28 2020-10-01 株式会社エクォス・リサーチ Dispositif et programme de traitement de signal biologique
LU101167B1 (en) 2019-04-01 2020-10-02 Iee Sa Method and System for Predicting the Time Behavior of an Environment using a Sensing Device, a Physical Model and an Artificial Neural Network
EP3757598A1 (fr) * 2019-06-25 2020-12-30 Infineon Technologies AG Réduction d'interférence intra-dispositif au moyen d'une fusion de capteurs
CN113602280A (zh) * 2021-09-07 2021-11-05 北京经纬恒润科技股份有限公司 一种驾驶员状态监测方法、装置及系统
US20220346653A1 (en) * 2021-05-03 2022-11-03 Qualcomm Incorporated Multi-sensor system for cardiovascular and respiratory tracking
WO2024041091A1 (fr) * 2022-08-23 2024-02-29 德沃康科技集团有限公司 Appareil de détection d'ondes millimétriques, structure d'installation, système de commande, siège et procédé de commande

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6661345B1 (en) * 1999-10-22 2003-12-09 The Johns Hopkins University Alertness monitoring system
US20050073424A1 (en) 2002-12-19 2005-04-07 Hans-Oliver Ruoss Radar-assisted sensing of the position and/or movement of the body or inside the body of living beings
DE102005020847A1 (de) * 2005-05-02 2006-11-09 Carsten Dr. Koch Vorrichtung zur berührungslosen Positionsbestimmung von Körperteilen von Lebewesen im Kraftfahrzeug
WO2012038867A1 (fr) * 2010-09-22 2012-03-29 Koninklijke Philips Electronics N.V. Procédé et dispositif permettant d'identifier un sujet dans un système de surveillance basé sur un capteur

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6661345B1 (en) * 1999-10-22 2003-12-09 The Johns Hopkins University Alertness monitoring system
US20050073424A1 (en) 2002-12-19 2005-04-07 Hans-Oliver Ruoss Radar-assisted sensing of the position and/or movement of the body or inside the body of living beings
DE102005020847A1 (de) * 2005-05-02 2006-11-09 Carsten Dr. Koch Vorrichtung zur berührungslosen Positionsbestimmung von Körperteilen von Lebewesen im Kraftfahrzeug
WO2012038867A1 (fr) * 2010-09-22 2012-03-29 Koninklijke Philips Electronics N.V. Procédé et dispositif permettant d'identifier un sujet dans un système de surveillance basé sur un capteur

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
C.T. HUANG, C.F. TANG, M.C LEE, S.H CHANG: "Parametric design of yarn-based piezoresistive sensorsfor smart textiles", SENSORS AND ACTUATORS A, vol. 146, 2008, pages 10 - 15, XP025535256, DOI: doi:10.1016/j.sna.2008.06.029
P. CORBISHLEY, E. RODRIGUEZ-VILLEGAS: "Breathing Detection: Towards a Miniaturized, Wearable, Battery Operated Monitoring System", IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 55, no. 1, January 2008 (2008-01-01), XP011198920, DOI: doi:10.1109/TBME.2007.910679

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WO2015046055A1 (fr) * 2013-09-27 2015-04-02 アルプス電気株式会社 Dispositif de détection d'information biologique et siège équipé du dispositif de détection d'information biologique
LU92541B1 (en) * 2014-09-10 2016-03-11 Iee Sarl Radar sensing of vehicle occupancy
WO2016038148A1 (fr) * 2014-09-10 2016-03-17 Iee International Electronics & Engineering S.A. Détection radar de l'occupation de véhicule
WO2016205891A1 (fr) * 2015-06-26 2016-12-29 Resmed Limited Diagnostic et surveillance de troubles cardiorespiratoires
US11109791B2 (en) 2015-06-26 2021-09-07 ResMed Pty Ltd Diagnosis and monitoring of cardio-respiratory disorders
US11944410B2 (en) 2015-06-26 2024-04-02 ResMed Pty Ltd Diagnosis and monitoring of cardio-respiratory disorders
JP2017136239A (ja) * 2016-02-04 2017-08-10 オムロンオートモーティブエレクトロニクス株式会社 生体情報検知装置
JP2017169726A (ja) * 2016-03-23 2017-09-28 カシオ計算機株式会社 測定装置、測定方法、及び測定プログラム
JP2018029762A (ja) * 2016-08-24 2018-03-01 オムロンオートモーティブエレクトロニクス株式会社 生体情報検出装置
JP2018102814A (ja) * 2016-12-28 2018-07-05 クラリオン株式会社 センサ取付ユニット
WO2018224612A1 (fr) * 2017-06-07 2018-12-13 Iee International Electronics & Engineering S.A. Classification et surveillance de passagers fondées sur un radar
LU100364B1 (en) * 2017-08-04 2019-02-06 Iee Sa Radar-Based Passenger Classification and Monitoring
LU100925B1 (en) * 2018-09-10 2020-03-10 Iee Sa Removing noise caused by vehicular movement from sensor signals using Deep Neural Networks
WO2020053148A1 (fr) 2018-09-10 2020-03-19 Iee International Electronics & Engineering S.A. Élimination du bruit provoqué par un mouvement de véhicule à partir de signaux de capteur à l'aide de réseaux neuronaux profonds
CN111345799A (zh) * 2018-12-24 2020-06-30 长城汽车股份有限公司 生命体征测量方法和装置
JP2020157000A (ja) * 2019-03-28 2020-10-01 株式会社エクォス・リサーチ 生体信号処理装置、及び生体信号処理プログラム
JP7217011B2 (ja) 2019-03-28 2023-02-02 国立大学法人岩手大学 生体信号処理装置、及び生体信号処理プログラム
WO2020196916A1 (fr) * 2019-03-28 2020-10-01 株式会社エクォス・リサーチ Dispositif et programme de traitement de signal biologique
LU101167B1 (en) 2019-04-01 2020-10-02 Iee Sa Method and System for Predicting the Time Behavior of an Environment using a Sensing Device, a Physical Model and an Artificial Neural Network
EP3757598A1 (fr) * 2019-06-25 2020-12-30 Infineon Technologies AG Réduction d'interférence intra-dispositif au moyen d'une fusion de capteurs
US11448721B2 (en) 2019-06-25 2022-09-20 Infineon Technologies Ag In device interference mitigation using sensor fusion
US20220346653A1 (en) * 2021-05-03 2022-11-03 Qualcomm Incorporated Multi-sensor system for cardiovascular and respiratory tracking
WO2022236204A1 (fr) * 2021-05-03 2022-11-10 Qualcomm Incorporated Système à capteurs multiples pour suivi cardiovasculaire et respiratoire
US11844589B2 (en) 2021-05-03 2023-12-19 Qualcomm Incorporated Multi-sensor system for cardiovascular and respiratory tracking
CN113602280A (zh) * 2021-09-07 2021-11-05 北京经纬恒润科技股份有限公司 一种驾驶员状态监测方法、装置及系统
WO2024041091A1 (fr) * 2022-08-23 2024-02-29 德沃康科技集团有限公司 Appareil de détection d'ondes millimétriques, structure d'installation, système de commande, siège et procédé de commande

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