System and method for monitoring motion of subject. Millimeter-wave reflection radar signal received from monitored subject supported by a support surface. Reflection radar signal sampled and signal portion extracted at range of subject, signal portion consisting of in-phase and quadrature signal components. Temporal difference in-phase and quadrature signals are derived and summed to form a summation signal. Adaptive thresholding applied to summation signal to establish threshold boundaries for at least one adaptive threshold for respective samples of summation signal. Motion index profile including motion index over time window is derived by normalization of summation signal according to each adaptive threshold. Extend of motion is determined based on motion index profile. Severe motion event, such as posture change, is determined when motion index exceeds selected index threshold for severe motion. Mild motion event is determined when motion index is above lower limit and below selected index threshold for severe motion.
G01S 13/93 - Radar or analogous systems, specially adapted for specific applications for anti-collision purposes
G01S 13/00 - Systems using the reflection or reradiation of radio waves, e.g. radar systemsAnalogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
2.
Sleep parameters estimation using millimeter-wave radar
A system and method for monitoring sleep parameters, the method including during a model training phase: receiving millimeter-wave reflection radar signals from reference subjects, extracting in-phase and quadrature components, deriving displacement signals reflecting body micromovements from cardiac and pulmonary activity, segmenting displacement signals into reference segments, forming a training dataset with segments labeled with measured sleep data, and applying machine learning to generate a sleep parameters estimation model; and during a subject monitoring phase: receiving millimeter-wave reflection radar signals from a monitored subject, extracting signal components, deriving displacement signals reflecting body micromovements, segmenting into monitored segments, applying the estimation model to estimate sleep parameters, determining overall sleep duration, and determining a sleep parameters index based on estimated parameters and duration.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
3.
BED OCCUPANCY MONITORING USING MILLIMETER WAVE RADAR
System and method for bed occupancy monitoring. Millimeter-wave reflection radar signal received from bed in monitoring area. Reflection radar signal sampled and signal portion extracted at range of subject of bed, signal portion consisting of in-phase and quadrature signal components. Median zero- crossing (MZC) derived over selected time window from whichever signal component has larger magnitude. Bed occupancy state of bed is determined based on MZC, by comparing to a middle threshold, determining an empty bed state when MZC is above middle threshold, and determining an occupied bed state when MZC below middle threshold. Transitional occupancy state is determined by comparing MZC to a low threshold and a high threshold, determining an entering bed state when MZC below low threshold for lag period, and determining an exiting bed state when MZC above high threshold and waveform characteristic detected in a signal component or MZC exceeds high threshold for sustained period.
Method and system for deriving interbeat interval (IB1) measurement of subject. A radar device receives a reflection radar signal reflected from subject. A signal portion of reflection radar signal at a range of subject is extracted, the signal portion collected over predefined intervals and consisting of an in-phase component and a quadrature component. The signal portion is filtered by applying a complex valued continuous wavelet transform (CWT) to derive a time domain ballistocardiograph (BCG) signal with cyclically repeating features, such that the time displacement between repeating features of the derived BCG signal is representative of a first heartbeat interval measurement of subject. At least one segment of the BCG signal over a selected time duration may be identified using a matrix profile technique, such that the time displacement between successive identified segments is representative of a second heartbeat interval measurement. Radar signal may be THz/millimeter-wave and FMCW radar signal.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
System and method for contactless blood pressure determination. During a training phase, for each of a plurality of reference subjects, a millimeter-wave reflection radar signal reflected from a respective reference subject is received and sampled, a signal portion at subject range is extracted and segmented into segments of selected segment duration, a training dataset of training samples from plurality of reference subjects is formed, each training sample including respective segment labeled with reference blood pressure measurement for segment duration obtained using blood pressure detector, and machine learning process is applied to training dataset to generate estimation model. During a monitoring phase, a millimeter-wave reflection radar signal reflected from a monitored subject is received and sampled, a signal portion at subject range is extracted and segmented into segments of selected segment duration, and estimation model is applied to monitoring samples of segments to determine a blood pressure estimate of monitored subject.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 40/00 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices
Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimeter-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject identification may be utilized for healthcare monitoring applications.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
7.
SLEEP APNEA EVENT DETERMINATION USING TERAHERTZ RADAR
Method and system for monitoring sleep apnea. During a subject monitoring phase, a radar device receives a millimeter-wave reflection radar signal reflected from a monitored subject, the signal sampled and a signal portion at subject range including in-phase and quadrature components is extracted. A displacement signal reflecting micromovements associated with cardiac and pulmonary activity is derived and segmented into monitored subject segments, each having a selected segment duration corresponding to segment duration of reference subjects of a model training phase. An apnea event estimation model is applied to a dataset of monitoring samples, each sample including a respective monitored subject segment, to predict a number of apnea events of monitored subject segments over a monitored period. Sleep status of monitored subject is detected and overall sleep duration during monitored period is determined. Apnea-hypopnea index is determined based on predicted number of apnea events and determined sleep duration during monitored period.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves
G01S 13/34 - Systems for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated using transmission of continuous, frequency-modulated waves while heterodyning the received signal, or a signal derived therefrom, with a locally-generated signal related to the contemporaneously transmitted signal
9.
DERIVATION OF PHYSIOLOGICAL PARAMETERS FROM A RADAR SIGNAL
Apparatus and methods are described including deriving a subject's heart rate from in-phase and the quadrature signals received by a radar. The in-phase and quadrature signals are processed to generate two or more outputs using two or more respective methods. For each of the two or more outputs, for each of a plurality of time segments, the subject's heart rate is derived from the filtered signal, and quality scores are assigned to the subject's heart rate as derived for each of the plurality of time segments from each of the two or more outputs. At least partially based upon the quality scores, the subject's heart rate is derived using the output of one of the methods. Other applications are also described.
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
10.
DERIVATION OF HEARTBEAT INTERVAL FROM REFLECTION SIGNAL
Method and system for deriving interbeat interval (IBl) measurement of subject. A radar device receives a reflection radar signal reflected from subject. A signal portion of reflection radar signal at a range of subject is extracted, the signal portion collected over predefined intervals and consisting of an in-phase component and a quadrature component. The signal portion is filtered by applying a complex valued continuous wavelet transform (CWT) to derive a time domain ballistocardiograph (BCG) signal with cyclically repeating features, such that the time displacement between repeating features of the derived BCG signal is representative of a first heartbeat interval measurement of subject. At least one segment of the BCG signal over a selected time duration may be identified using a matrix profile technique, such that the time displacement between successive identified segments is representative of a second heartbeat interval measurement. Radar signal may be THz/millimeter-wave and FMCW radar signal.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimetre-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject identification may be utilized for healthcare monitoring applications.
Apparatus and methods are described including deriving a subject's heart rate from in- phase and the quadrature signals received by a radar. The in-phase and quadrature signals are processed to generate two or more outputs using two or more respective methods. For each of the two or more outputs, for each of a plurality of time segments, the subject's heart rate is derived from the filtered signal, and quality scores are assigned to the subject's heart rate as derived for each of the plurality of time segments from each of the two or more outputs. At least partially based upon the quality scores, the subject's heart rate is derived using the output of one of the methods. Other applications are also described.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
G01S 13/02 - Systems using reflection of radio waves, e.g. primary radar systemsAnalogous systems
G01S 13/50 - Systems of measurement based on relative movement of target
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.
G01S 13/32 - Systems for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
14.
A SYSTEM FOR DENOISING MOTION ARTIFACT SIGNALS AND METHOD THEREOF
The present invention provides a system and a method for denoising motion artifacts from vital signs signals comprising steps of receiving one or more reflected signals from at least one subject, generating a time sequence buffer of reflected signals of predefined duration for vital signals processing, source separation and a component selection, and estimating and tracking vital signs of the source separation and a component selection.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/029 - Measuring blood output from the heart, e.g. minute volume
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
15.
Portable sub-THz and THz radar system for remote physiological parameters detection and method with harmonic and fundamental components
The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
The present invention provides a system and a method for denoising motion artifacts from vital signs signals comprising steps of receiving one or more reflected signals from at least one subject, generating a time sequence buffer of reflected signals of predefined duration for vital signals processing, source separation and a component selection, and estimating and tracking vital signs of the source separation and a component selection.
The present invention provides a system and method of vital signs determination of one or more objects in a predefined space, comprising: at least one transceiver means configured to transmit and receive one or more signals in a multiplexing manner and processing means coupled to the transceiver means configured for processing first signal reflected from a first object to determine the vital signs of the first object and processing a second signal reflected from a second object to determine the vital signs of the second object. The processing means comprises instructions of utilizing a plurality of fixed predefined focused beams by the transceiver means and orthogonal multiplexing to provide a first beam associated with a first object vital signs signal and a second beam associated with a second object vital signs signal.
A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves
B60R 21/015 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, e.g. for disabling triggering
G01S 13/56 - Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
G01S 13/34 - Systems for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated using transmission of continuous, frequency-modulated waves while heterodyning the received signal, or a signal derived therefrom, with a locally-generated signal related to the contemporaneously transmitted signal
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
18.
SYSTEM FOR DETERMINING OBJECT STATUS AND METHOD THEREOF
The present invention relates to method and system for determining the status of one or more objects in a predefined space, comprising: at least one transceiver means configured to transmit and receive a signal and, processing means coupled to the transceiver means for processing the signal reflected from a first object to determine the status and/or vital signs of the first object simultaneously, within the predefined space; wherein the transceiver means coupled to processing means are positioned in asymmetric arrangement configured to provide FMCW based range grid map associated with the first object status derived from the distance estimation between a predefined location and the transceiver means and/or detected motion, and/or FMCW based range grid map associated with first object vital sign derived from deleted motion.
G01S 13/04 - Systems determining presence of a target
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
B60R 21/015 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, e.g. for disabling triggering
An antenna pattern integrated-on-chip for transmitting and/or receiving sub-terahertz and terahertz (THZ) signal& The antenna pattern comprising: a first conductor having a bi-circular structure; a second conductor having a bi-circular structure connected to the first bi-circular structure. The bi-circular structures comprising a first conductive circular lobe having a radius (Rx) and a second circular lobe having a radius (Rc), such that said Rx≥Rc. The first bi-circular and the second bi-circular characterized by at least one port thereby, having an area of intersection between the first bi-circular and the second lei-circular, forming an ultra-wideband (UWB) frequency response of more than about 100% bandwidth.
H01Q 1/22 - SupportsMounting means by structural association with other equipment or articles
H01Q 9/28 - Conical, cylindrical, cage, strip, gauze or like elements having an extended radiating surface Elements comprising two conical surfaces having collinear axes and adjacent apices and fed by two-conductor transmission lines
H01Q 21/06 - Arrays of individually energised antenna units similarly polarised and spaced apart
20.
A SUB-THZ AND THZ SYSTEM FOR PHYSIOLOGICAL PARAMETERS DETECTION AND METHOD THEREOF
The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi- periodic signal information components.
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Terahertz and sub-Terahertz radiation components and
detectors for applications in the fields of security,
Homeland security, automotive, IoT, computer game programs,
spectroscopy, health and well-being; sub-Terahertz sensor;
sensing and processing platform, comprising of a micro-radar
or THz or sub-THz sensors and software for signal processing
and data interpretation; sensing and imaging systems, based
on Terahertz frequencies, for measuring and monitoring of
physiological characteristics for use in the automotive,
medical, security, safety, Homeland security, gaming and IoT
industries; antennas; sub-Terahertz micro-radar antenna on
chip, namely, silicon chip antenna, SiGe chip antenna and
InP chip antenna and ceramic patch antennas, and chip
antennas used in communications and sensing applications;
multilayer chip antennas; sensor chips for scientific use;
sensor chips for medical use, used to monitor and warn
regarding vital signs, respiration rate, heart rate,
micro-movements of the skin and body, as well as
physiological parameters, skin's and body electromagnetic
properties; sensor chips for wireless use and in IoT enabled
devices; radar and micro-radar apparatus, antennas and
detectors; silicon chips, germanium chips, SiGe chips, InP
chips; computer chips; computer software for use with
micro-radar technologies; computer game software; computer
software for use with micro-radar detectors for use on
medical devices; radar object detectors for use on medical
devices; radar object detectors for use on vehicles; digital
signal processors; software for digital signal processing;
optical communications systems comprised of optical and
electronic hardware and computer software for the
transmission of data between two points; radar receivers
with amplifiers; radar receivers; radar transmitters; radar
reflector apparatus. Medical and therapeutic devices, apparatus and systems,
namely, a force and motion sensing apparatus for measuring,
detecting and monitoring micro-movements of the body and
physical, mental, emotional and physiological parameters and
alerting of life threatening events; imaging sensors,
monitors and detectors for medical purposes. Custom design and engineering of optical systems that
measure Terahertz and sub-Terahertz radiation; scientific
research and design relating to the field of optics,
Terahertz and sub-Terahertz radiation and data
interpretation; scientific and technological services and
research and design relating thereto, namely, design of
optics electronic components and devices; design of
mechanical and micromechanical components; design of
mechanical, electromechanical and optoelectronic apparatus
and instruments; design of integrated circuits in the field
of Terahertz sensing technology; computer software design in
the field of Terahertz sensing technology; radar detection;
technical verification and validation of instrumentation
radar systems.
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Terahertz and sub-Terahertz radiation components and
detectors for applications in the fields of security,
homeland security, automotive, IoT, computer game programs,
spectroscopy, health and well-being; sub-Terahertz sensor;
sensing and processing platform, comprising of a micro-radar
or THz or sub-THz sensors and software for signal processing
and data interpretation; sensing and imaging systems, based
on Terahertz frequencies, for measuring and monitoring of
physiological characteristics for use in the automotive,
medical, security, safety, homeland security, gaming and IoT
industries; antennas; sub-Terahertz micro-radar antenna on
chip, namely, silicon chip antenna, SiGe chip antenna and
InP chip antenna and ceramic patch antennas, and chip
antennas used in communications and sensing applications;
multilayer chip antennas; sensor chips for scientific use;
sensor chips for medical use, used to monitor and warn
regarding vital signs, respiration rate, heart rate,
micro-movements of the skin and body, as well as
physiological parameters, skin's and body electromagnetic
properties; sensor chips for wireless use and in IoT enabled
devices; radar and micro-radar apparatus, antennas and
detectors; silicon chips, germanium chips, SiGe chips, InP
chips; computer chips; computer software for use with
micro-radar technologies; computer game software; computer
software for use with micro-radar detectors for use on
medical devices; radar object detectors for use on medical
devices; radar object detectors for use on vehicles; digital
signal processors; software for digital signal processing;
optical communications systems comprised of optical and
electronic hardware and computer software for the
transmission of data between two points; radar receivers
with amplifiers; radar receivers; radar transmitters; radar
reflector apparatus. Medical and therapeutic devices, apparatus and systems,
namely, a force and motion sensing apparatus for measuring,
detecting and monitoring micro-movements of the body and
physical, mental, emotional and physiological parameters and
alerting of life threatening events; imaging sensors,
monitors and detectors for medical purposes. Custom design and engineering of optical systems that
measure Terahertz and sub-Terahertz radiation; scientific
research and design relating to the field of optics,
Terahertz and sub-Terahertz radiation and data
interpretation; scientific and technological services and
research and design relating thereto, namely, design of
optics electronic components and devices; design of
mechanical and micromechanical components; design of
mechanical, electromechanical and optoelectronic apparatus
and instruments; design of integrated circuits in the field
of Terahertz sensing technology; computer software design in
the field of Terahertz sensing technology; radar detection;
technical verification and validation of instrumentation
radar systems.
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Terahertz and sub-Terahertz radiation [ components and ] detectors for applications in the fields of [ security, homeland security, automotive, IoT, computer game programs, spectroscopy, ] health and well-being; sub-Terahertz sensor; sensing and processing platform, comprising of a micro-radar or THz or sub-THz sensors and software for signal processing and data interpretation; sensing and imaging systems, based on Terahertz frequencies, for measuring and monitoring of physiological characteristics for use in the [ automotive, ] medical, [ security, safety, homeland security, gaming ] and IoT industries; [ antennas; sub-Terahertz micro-radar antenna on chip, namely, silicon chip antenna, SiGe chip antenna and InP chip antenna and ceramic patch antennas, and chip antennas used in communications and sensing applications; multilayer chip antennas; ] sensor chips for scientific use; sensor chips for medical use, used to monitor and warn regarding vital signs, respiration rate, heart rate, micro-movements of the skin and body, as well as physiological parameters, skin's and body electromagnetic properties; [ sensor chips for wireless use and in IoT enabled devices; ] radar and micro-radar apparatus, antennas and detectors; [ silicon chips, germanium chips, SiGe chips, InP chips; computer chips; ] computer software for use with micro-radar technologies; [ computer game software; ] computer software for use with micro-radar detectors for use on medical devices; radar object detectors for use on medical devices; [ radar object detectors for use on vehicles; ] digital signal processors; software for digital signal processing; [ optical communications systems comprised of optical and electronic hardware and computer software for the transmission of data between two points; ] radar receivers with amplifiers; radar receivers; radar transmitters; radar reflector apparatus Medical and therapeutic devices, apparatus and systems, namely, a force and motion sensing apparatus for measuring, detecting and monitoring micro-movements of the body and physical, mental, emotional and physiological parameters and alerting of life threatening events; imaging sensors, monitors and detectors for medical purposes [ Custom design and engineering of optical systems that measure Terahertz and sub-Terahertz radiation; scientific research and design relating to the field of optics, Terahertz and sub-Terahertz radiation and data interpretation; scientific and technological services and research and design relating thereto, namely, design of optics electronic components and devices; design of mechanical and micromechanical components; design of mechanical, electromechanical and optoelectronic apparatus and instruments; design of integrated circuits in the field of Terahertz sensing technology; computer software design in the field of Terahertz sensing technology; radar detection; technical verification and validation of instrumentation radar systems ]
An antenna pattern integrated-on-chip for transmitting and/or receiving sub-terahertz and terahertz (THZ) signals. The antenna pattern comprising: a first conductor having a bi-circular structure; a second conductor having a bi-circular structure connected to the first bi-circular structure. The bi- circular structures comprising a first conductive circular lobe having a radius (Rx) and a second circular lobe having a radius (Rc), such that said Rx>Rc. The first bi-circular and the second bi-circular characterized by at least one port thereby, having an area of intersection between the first bi-circular and the second bi-circular, forming an ultra-wideband (UWB) frequency response of more than about 100% bandwidth.
H01Q 1/22 - SupportsMounting means by structural association with other equipment or articles
H01Q 9/28 - Conical, cylindrical, cage, strip, gauze or like elements having an extended radiating surface Elements comprising two conical surfaces having collinear axes and adjacent apices and fed by two-conductor transmission lines
H01Q 21/06 - Arrays of individually energised antenna units similarly polarised and spaced apart
25.
METHOD AND DEVICE FOR NON-CONTACT SENSING OF VITAL SIGNS AND DIAGNOSTIC SIGNALS BY ELECTROMAGNETIC WAVES IN THE SUB TERAHERTZ BAND
A system for non-invasively detecting vital signs of a subject, including a) a sub- THz beam source, b) an optical interferometer that is configured to accept the sub-THz beam, split the sub-THz beam into a reference beam and a measurement beam, focus the measurement beam onto a subject, accept a reflection of the beam from the subject and combine the reflection of the measurement beam with the reference beam; c) a detector configured to detect the combined beam; and an electronic circuit configured to receive and analyze the detected combined beam and identify vital signs of the subject.
An imaging sensor for accepting terahertz signals, including a die made of a dielectric material, one or more antennas for receiving terahertz signals, positioned on top of the die or in an upper layer of the die, each antenna having a CMOS detector electrically coupled to the antenna and positioned in the die below the antenna, a metal shield layer in the die below the antennas and above the CMOS detectors, shielding the CMOS detector from interference signals, a shielding layer under the die comprising a back metal coating and/or a layer of silver epoxy glue for attaching the bottom of the die to a lead frame.
H01L 27/14 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy
H01Q 1/22 - SupportsMounting means by structural association with other equipment or articles
H01Q 1/52 - Means for reducing coupling between antennas Means for reducing coupling between an antenna and another structure
H01Q 9/28 - Conical, cylindrical, cage, strip, gauze or like elements having an extended radiating surface Elements comprising two conical surfaces having collinear axes and adjacent apices and fed by two-conductor transmission lines
H01Q 15/08 - Refracting or diffracting devices, e.g. lens, prism formed of solid dielectric material
H01Q 19/06 - Combinations of primary active antenna elements and units with secondary devices, e.g. with quasi-optical devices, for giving the antenna a desired directional characteristic using refracting or diffracting devices, e.g. lens
H01Q 19/10 - Combinations of primary active antenna elements and units with secondary devices, e.g. with quasi-optical devices, for giving the antenna a desired directional characteristic using reflecting surfaces
H01Q 21/06 - Arrays of individually energised antenna units similarly polarised and spaced apart
H01Q 25/00 - Antennas or antenna systems providing at least two radiating patterns
G01J 5/20 - Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using resistors, thermistors or semiconductors sensitive to radiation, e.g. photoconductive devices
