46results about "Microwave sensors" patented technology

According to one aspect of the disclosure, a method for measuring stress of a subject includes: transmitting, by a sensor, a wireless signal within an environment comprising the subject: measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time: processing the physiological signal to extract feature data of the subject; and providing the feature data as input to a stress classification network to determine a stress level of the subject.

A method for non-invasively identifying a location of a mass or tumor including: providing a patient with a possible mass or tumor; providing a detector including one or more resonant sensors, each sensor including at least one loop resonator, at least one cavity resonator, or at least one waveguide resonator; detecting resonant frequencies at different locations on the patient's skin near locations of the mass or possible tumor; and locating the mass or tumor by noting a location of an atypical resonant frequency.

In a method for determining a posture of a human being, in particular for fall prevention, measurement data is obtained from at least two dimensional radar measurements of a radar system. The measurement data is processed to obtain at least two dimensional point cloud data, in particular three dimensional point cloud data, wherein a position and local data is assigned to each of the points of the point cloud data. The point cloud data is clustered to obtain clustered data representing the human being by a plurality of clusters, and the clusters are tracked over time to define a plurality of objects. Body parts of the human being and positional relationships among them are identified based on the plurality of objects, wherein the identified body parts comprise the head and / or limbs, and the positional relationships are analyzed to determine the posture of the human being.

A contactless sensor includes a cardiac beamformer, a wireless-to-seismocardiogram translator, and an automatic labeler. The cardiac beamformer determines at least one beam for receiving wireless signals generated based on movement of a heart. The at least one beam is generated based on phase information and a heart signal extracted from a time-domain signal generated from one or more receiver elements. The wireless-to-seismocardiogram translator implements a convolutional neural network to transform time-series data detected from the at least one beam to a seismocardiogram. The automatic labeler identifies and labels one or more micro-cardiac events in the time-series data. The cardiac beamformer may be considered an optional feature in one or more implementations.

A system for monitoring anxiety of an individual includes a chair having at least a seat and a back, a base supporting the chair, and a first sensor disposed in at least one of the seat or the back. The first sensor is configured to, without being in direct contact with the individual, continuously obtain data related to a first physical characteristic from the individual seated in the chair. The first physical characteristic is one of respiration or pulse rate. The system further includes a display and a controller. The controller is configured to receive, in real-time, the data related to the first physical characteristic from the first sensor and compile a first metric from the received data. The first metric is configured to visually represent a change in the first physical characteristic. The controller is further configured to output the first metric to the display in realtime.

Provided herein is a non-invasive biometric sensing and monitoring device that may be employed in a non-invasive method with the potential for comprehensive analysis and data processing. The non-invasive biometric sensing and monitoring device may be employed for determining a characteristic of a state of a wearer using the device based on a value of a biomolecule within a body tissue of the user. The device may include a housing for retaining one or more components of the biometric device. The components may may include a substrate, such as a printed circuit board, and may further include one or more of an signal generator, a microwave structure based sensor unit, a filter unit, a receiver component, an analog to digital converter, a control unit, one or more buffers, a communications module and controller as well as an analytics system.

The present invention relates to a method (100) for dielectric spectroscopy of a material or a tissue under test, comprising the following steps: measuring (110) the reflection coefficient (11) signal as a function of the frequency of said material or tissue under test, by a vector network analyzer (3), wherein a single applicator (5) is in contact with said material or a tissue under test and wherein the applicator (5) is operatively connected to the vector network analyzer (3); multiplying (120) the reflection coefficient (11) signal with the frequency behavior of an ultra-wide band (UWB) signal as a synthetic applicator excitation; converting (130) the signal of the previous step into the time domain by an Inverse Fourier Transform (IFT); suppressing (140) part of the converted signal of the converting step (130), according to the applicator (5) geometry; converting back (150) the signal of the suppressing step (140) to the frequency domain; and extracting (160) from the frequency signal converted the dielectric properties (162) and / or estimating (170) the dimension of the material or a tissue under test and / or of an ablated area of the material or a tissue under test thereof. The present invention also relates to an apparatus for dielectric spectroscopy (1).

The invention discloses a measurement element (100, 500, 600, 700) for an oral care device. The measurement element comprises at least one elongate ridge element (102) for engaging an interproximal region or adjacent teeth within an oral cavity, and at least a first sensing region (104) for acquiring data from gingival tissue within the oral cavity. The invention also discloses an oral care device (10), an attachment (1000) for an oral care device.

Provided herein is a non-invasive biometric sensing and monitoring device that may be employed in a non-invasive method with the potential for comprehensive analysis and data processing. The non-invasive biometric sensing and monitoring device may be employed for determining a characteristic of a state of a wearer using the device based on a value of a biomolecule within a body tissue of the user. The device may include a housing for retaining one or more components of the biometric device. The components may may include a substrate, such as a printed circuit board, and may further include one or more of an signal generator, a microwave structure based sensor unit, a filter unit, a receiver component, an analog to digital converter, a control unit, one or more buffers, a communications module and controller as well as an analytics system.

An electromagnetic receiving device configured to discriminately react predominantly to an external electric field directed along an axis of said device, comprising a high-permittivity dielectric rod as receiving element, wherein said dielectric rod is oriented along said axis and has a receiving end to be directed towards an object under study, and wherein the device is configured to be essentially resonant with a circularly cylindrical TM00 mode.

A hydration level tracking system and method measures microwave energy accepted by skin in a desired target area of a user or patient in order to determine, in real time and in vivo, representative hydration levels. A measurement unit comprises a transmitter operatively connected to an antenna to deliver energy towards appropriate layer. The measurement unit determines an accepted energy power value of the skin associated with the desired target area. This measurement energy power value is compared with a calibration value, and the difference is used to determine a representative hydration level value. The determined hydration value may further be acclimatized using additional sensed values compensating for biological and ambient factors relevant to the patient. The final determined hydration level value can be displayed for reading and / or transmitted and stored for recording for further reference.

Cardiovascular or respiratory data of a subject is measured using a multi-sensor system. The multi-sensor system includes a mm-wave FMCW radar sensor, an IMU sensor, and one or more proximity sensors. The mm-wave FMCW radar sensor may be selected and its view angle adjusted based on positioning data regarding the subject obtained from the one or more proximity sensors. Each of the mm-wave FMCW radar sensor and the IMU sensor may acquire cardiovascular or respiratory measurements of the subject, and the measurements may be fused for improved accuracy and performance.

The usage of microwave imaging for biomedical (BMWI) applications is still challenging due to the imprecise reconstruction of the relative permittivity of tissues and the ill-posed inverse scattering problem. Anomaly detection in biological tissues demand in-vivo, non-invasive, and non-contact measurements. Considering and proving the anomaly as a point object in the microwave imaging is erroneous and results in false implications about the anomaly's presence, location, and characteristics. Present disclosure provides systems and methods for anomaly detection in biological tissues. An intensity map of target region is generated to detect tumor. Area around the tumor is processed to obtain a refined image. As the tumor is embedded in tissues of higher dielectric constant, image thus formed is larger in size than actual tumor. An iterative numerical computation method is implemented to estimate relative permittivity. Subsequently, the effective size of the anomaly is approximately estimated, which is close to their actual values.

A hydration level tracking system and method measures microwave energy accepted by skin in a desired target area of a user or patient in order to determine, in real time and in vivo, representative hydration levels. A measurement unit comprises a transmitter operatively connected to an antenna to deliver energy towards appropriate layer. The measurement unit determines an accepted energy power value of the skin associated with the desired target area. This measurement energy power value is compared with a calibration value, and the difference is used to determine a representative hydration level value. The determined hydration value may further be acclimatized using additional sensed values compensating for biological and ambient factors relevant to the patient. The final determined hydration level value can be displayed for reading and / or transmitted and stored for recording for further reference.

To provide embodiments for managing operations of sensors in an electronic device.SOLUTION: According to certain aspects, an electronic device may detect a change in motion from an initial set of sensor data generated by a sensor(s). A memory cache may store the initial set of sensor data or additional sensor data generated by the sensor(s). The electronic device may initiate a supplemental algorithm that analyzes cached data. On the basis of, the analysis of the cached data and whether the change in motion has been confirmed or whether additional motion has been detected, the electronic device may manage an operation of the supplemental algorithm.SELECTED DRAWING: Figure 2

The invention discloses a measurement element (100, 500, 600, 700) for an oral care device. The measurement element comprises at least one elongate ridge element (102) for engaging an interproximal region or adjacent teeth within an oral cavity, and at least a first sensing region (104) for acquiring data from gingival tissue within the oral cavity. The invention also discloses an oral care device (10), an attachment (1000) for an oral care device.

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and / or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

The present invention aims at a vital information acquisition apparatus, comprising: a microwave radar system which includes at least one transmitting antenna and at least one receiving antenna and is configured to transmit a plurality of microwaves to a subject and receive a plurality of microwaves reflected by the subject; and a controller comprising circuitry configured to convert a plurality of received microwaves to a plurality of radar signals, store the radar signals, calculate the phase signals of the radar signals, and calculate the first- or higher-order derivatives of each phase signal, and estimate heartbeat intervals and / or respiratory intervals from the phase signals and / or their derivatives using one of periodicity detection techniques; the periodicity finding techniques include autocorrelation, frequency analysis using Fourier transform, and zero-crossing detection algorithm. Another aspect of the present invention is a vital information acquisition method that stores the radar signals, calculates the phase signals of the radar signals, and calculates the first- or higher-order derivatives of each phase signal, and estimates heartbeat intervals and / or respiratory intervals from the phase signals and / or their derivatives using one of periodicity detection techniques; the periodicity finding techniques include autocorrelation, frequency analysis using Fourier transform, and zero-crossing detection algorithm.

A system for monitoring anxiety of an individual includes a chair having at least a seat and a back, a base supporting the chair, and a first sensor disposed in at least one of the seat or the back. The first sensor is configured to, without being in direct contact with the individual, continuously obtain data related to a first physical characteristic from the individual seated in the chair. The first physical characteristic is one of respiration or pulse rate. The system further includes a display and a controller. The controller is configured to receive, in real-time, the data related to the first physical characteristic from the first sensor and compile a first metric from the received data. The first metric is configured to visually represent a change in the first physical characteristic. The controller is further configured to output the first metric to the display in real-time.

The usage of microwave imaging for biomedical (BMWI) applications is still challenging due to the imprecise reconstruction of the relative permittivity of tissues and the ill-posed inverse scattering problem. Anomaly detection in biological tissues demand in-vivo, non-invasive, and non-contact measurements. Considering and proving the anomaly as a point object in the microwave imaging is erroneous and results in false implications about the anomaly's presence, location, and characteristics. Present disclosure provides systems and methods for anomaly detection in biological tissues. An intensity map of target region is generated to detect tumor. Area around the tumor is processed to obtain a refined image. As the tumor is embedded in tissues of higher dielectric constant, image thus formed is larger in size than actual tumor. An iterative numerical computation method is implemented to estimate relative permittivity. Subsequently, the effective size of the anomaly is approximately estimated, which is close to their actual values.

A system and method for monitoring a subject in a three dimensional environment comprising one or more rooms, the system and method comprising the use of one or more radar sensors for transmitting radar waves and for receiving reflections of the radar waves. The system and method comprise one or more processors for detecting and analyzing the reflected radar wave in order to monitor movements of the subject. The system and method can be used, for example, to monitor the presence, entry, and exit of the subject with respect to a space and to monitor the subject for falls. The system and method further comprise transmitting the detected and analyzed information to a user.

A method for detecting vital information and humidity by using a frequency-modulated continuous wave (FMCW) radar device is provided, including: transmitting an incident radar signal to a field, detects a reflected radar signal reflected by a to-be-measured object and a reflected radar signal reflected by a humidity sensor tag, so as to obtain vital information of the to-be-measured object and humidity information detected by the humidity sensor tag.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing at least a two-dimensional array of measurements of electromagnetic wave scattering by internal features of an object, wherein each said measurement represents scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the object as measured by a corresponding antenna of the array of antennas; and processing the scattering data to generate image data representing a spatial distribution of internal features of the object, wherein the generation of the image data does not involve tomographic reconstruction but is in accordance with a weighted mapping to directly map the measurements of electromagnetic wave scattering to a corresponding spatial distribution of electromagnetic wave scattering by the internal features of the object that corresponds to the physical shape of the object to enable the detection, localization, size estimation, shape estimation and classification of one or more features of interest of the object.

According to one aspect of the invention, a method for assessing physiological properties of a biological tissue is provided. The method comprising the steps of transmitting from a first coaxial probe, receiving at a second coaxial probe and assessing physiological properties. The transmission from the first probe is a microwave signal. The second coaxial probe receives a microwave signal. The first coaxial probe and the second coaxial probe are arranged in connection with the biological tissue. The physiological properties of the biological tissue between the coaxial probes are assessed based on the microwave signal transmitted and received across the biological tissue. The invention further relates to a system and a coaxial probe useful in performing such a method.

A single non-thermal atmospheric plasma generation device is used to detect and analyze vital fields of a living subject to determine the presence of a condition, such as an illness or injury, and responsively modify characteristics of the plasma to treat, heal, or alleviate the condition. The device includes a capacitance dielectric discharge array of plasma emitters, and a controller having a power supply, a transformer, and circuit components for driving the transformer at a resonant frequency of the plasma emitters to cause the plurality of plasma emitters to ionize surrounding air and produce the non-thermal plasma. The resonant frequency is around 60 GHz and harmonics thereof. A receiver of the device recovers frequency mixing products from the plasma, which are extracted by signal processing circuitry; signals in the VHF and UHF bands are extracted and analyzed to determine whether signatures of particular vital fields are present.

A probe for an apparatus for measuring the density of breast tissue. The probe comprises two moveably coupled rigid arms, each having an engagement end, where the arms can be moved relative to each other to modify a distance between the engagement ends within a pre-determined range. The probe also comprises radiofrequency antennas disposed at the engagement end of each arm.

A system (1) for vital-parameter detection (1) comprises: - a sensor arrangement (10) with at least one signal line (12), which is disposed within a detection area (D) and is adapted to propagate an electromagnetic signal, and at least one coupling element (15), which is disposed so that an electromagnetic coupling between the coupling element (15) and the signal line (12) is influenceable by a body part (50, 51) of a living being in a coupling region (C) associated with the coupling element (15); and - a control device (30) that is operatively coupled to the at least one signal line (12), wherein the control device (30) is adapted to perform at least one detection process (100) which includes: - applying (110) a time-dependent first detection signal (S) to each signal line (12) and receiving a first reflection signal (R) from the signal line (12); - based on the first reflection signal (R), determining (120) a proximity position (P) of a body part (50, 51) using time-domain reflectometry, wherein the proximity of the body part (50, 51) leads to a reflection that contributes to the first reflection signal (R); and - if the proximity position (P) corresponds to a coupling region (C), performing (190) a signal analysis based on at least one signal (R, T) that is influenceable by the electromagnetic coupling between the coupling element (15) and the signal line (12) and thus is influenceable by the body part (50, 51) in the coupling region (C), to obtain (220) an analysis result, and to determine (270) at least one vital parameter of the living being based on at least one analysis result.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing measurements of electromagnetic wave scattering by internal features of an object, each said measurement representing scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about an imaging domain containing at least a portion of the object, and as measured by a corresponding antenna of the array of antennas; and processing the scattering data to generate image data representing a spatial location and size of at least one internal feature of the object within the imaging domain; wherein the processing includes applying a trained message-passing graph neural network (GNN) to a graph of nodes representing spatial locations of the antennas and edges representing the measurements.

A system includes a control unit configured to be worn by a subject including one or more processors operatively coupled to a memory, a wireless transceiver, and a power supply for powering the one or more processors. The system also includes a computing device independent of the control unit including one or more processors operatively coupled to a memory, a wireless transceiver in communication with the wireless transceiver of the control unit, and a display. The system further includes at least one primary sensor and at least one secondary sensor mountable relative to the subject configured to generate respective primary and secondary signals and to communicate the primary and secondary signals to one of the control unit and the computing device.