A micro impulse radar (MIR) system includes an MIR transceiver circuit configured to transmit, towards a subject, at least one transmitted radar signal, and receive at least one radar return signal. The system includes a control circuit configured to generate a control signal defining a radar signal parameter of the at least one transmitted radar signal, provide the control signal to the MIR transceiver circuit to cause the MIR transceiver circuit to transmit the at least one transmitted signal based on the radar signal parameter, and determine, based on the at least one radar return signal, a physiological parameter of the subject.

A micro impulse radar (MIR) system includes an MIR transceiver circuit configured to transmit, towards a subject, at least one transmitted radar signal, and receive at least one radar return signal. The system includes a control circuit configured to generate a control signal defining a radar signal parameter of the at least one transmitted radar signal, provide the control signal to the MIR transceiver circuit to cause the MIR transceiver circuit to transmit the at least one transmitted signal based on the radar signal parameter, and determine, based on the at least one radar return signal, a physiological parameter of the subject.

Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).

Methods and systems for remote sleep monitoring are provided. Such methods and systems provide non-contact sleep monitoring via remote sensing or radar sensors. In this regard, when processing backscattered radar signals from a sleeping subject on a normal mattress, a breathing motion magnification effect is observed from mattress surface displacement due to human respiratory activity. This undesirable motion artifact causes existing approaches for accurate heart-rate estimation to fail. Embodiments of the present disclosure use a novel active motion suppression technique to deal with this problem by intelligently selecting a slow-time series from multiple ranges and examining a corresponding phase difference. This approach facilitates improved sleep monitoring, where one or more subjects can be remotely monitored during an evaluation period (which corresponds to an expected sleep cycle).

An MEMS airborne ultrasonic transducer system operating on a thermoacoustic principle to determine brain haemorrhage, includes: an RF transmitter and ultrasound receiver systems to transmit RF energy and receive ultrasound wave, respectively, an RF transmitter system having an RF signal generator, an RF amplifier and a horn antenna, and an ultrasound receiver system having a lock-in amplifier, a DC supply and two ultrasonic transducer arrays wirebonded to low noise amplifier (LNA) chips. The MEMS airborne ultrasonic transducer system determines brain haemorrhage based on detecting RF-induced, blood-originating, thermoacoustic ultrasound wave at the pulse modulation frequency.

A sensor measurement device includes: an impedance analyzer to determine an impedance of a sample; a first antenna configured to generate electromagnetic radiation having a first wavelength; an impedance-matching device, positioned in a radiation path between the first antenna and the sample, to receive the electromagnetic radiation from the first antenna and transmit electromagnetic radiation of the first wavelength into the sample, the impedance-matching device comprising a metasurface including: a substrate having a thickness no greater than the first wavelength of the electromagnetic radiation; and a plurality of elements supported by the substrate, wherein: the plurality of elements are spaced apart from one another across the substrate, each element has a first dimension no greater than the first wavelength of the electromagnetic radiation, and at least two elements of the plurality of elements differ in one or more of shape or size; and a second antenna configured to receive the electromagnetic radiation from the sample.

A patient monitoring device configured to monitor cardiac activity and sleep stage information of a patient is provided. The device includes a plurality of electrodes to acquire electrocardiogram (ECG) signals from the patient, at least one motion sensor configured to generate a motion signal based upon movement of the patient, and at least one processor. The processor is configured derive motion parameters from the motion signal, derive ECG parameters from the ECG signals, determine whether the patient is in an immobilized sleep stage or a non-immobilized sleep stage based upon the motion parameters and the ECG parameters, adjust one or more cardiac arrhythmia detection parameters such that the device operates in a first monitoring and treatment mode when the patient is in an immobilized sleep stage, and monitor the patient for the cardiac arrhythmia using the first monitoring and treatment mode.

The embodiments herein relate to a system and method for detecting an internal object in a body under test. The system comprises at least one antenna which are adapted to be positioned around the body under test. The system is adapted to transmit radio frequency signal(s) into the body under test which are reflected and/or scattered from the internal object. The system is adapted to receive the reflected and/or scattered radio frequency signal(s) and use a method of classification S1-S7 to determine the presence of an internal object. The system is adapted to detect the internal object or a change in an already detected internal object when there is a difference between the received radio frequency signals. The difference is related to the different dielectric properties between the internal object and the body under test.

The embodiments herein relate to a system and method for detecting an internal object in a body under test. The system comprises at least one antenna which are adapted to be positioned around the body under test. The system is adapted to transmit radio frequency signal(s) into the body under test which are reflected and/or scattered from the internal object. The system is adapted to receive the reflected and/or scattered radio frequency signal(s) and use a method of classification S1-S7 to determine the presence of an internal object. The system is adapted to detect the internal object or a change in an already detected internal object when there is a difference between the received radio frequency signals. The difference is related to the different dielectric properties between the internal object and the body under test.

An electromagnetic (EM) tomography head scanner comprising an antenna chamber, a radio frequency and microwave circuit, a control and monitoring unit, and a signal processing unit and an artificial intelligence unit.