A61B5/113

CHARACTERIZING BEHAVIOR OF ANATOMICAL STRUCTURES
20200022757 · 2020-01-23 ·

This disclosure relates generally to systems and methods for characterizing a behavior of an anatomical structure. Tracking data can be generated by a tracking system to represent at least a location of at least one sensor in a three-dimensional tracking coordinate system over time. A motion model is generated to characterize the behavior of the anatomical structure over a plurality of time instances. For instance, the motion model includes at least one free parameter and a temporal parameter. Each free parameter estimating geometry of the anatomical structure derived from the tracking data, and the temporal parameter indexes the free parameter over the plurality of time instances. A visualization is generated to provide a sequence of graphical images based on the motion model to characterize behavior of the anatomical structure over time.

DOPPLER RADAR SENSOR WITH POWER DETECTOR
20200025876 · 2020-01-23 ·

A Doppler radar sensor with a power detector is disclosed. In the Doppler radar sensor, a power detector is provided to detect the power level of a received transmission signal, and a leakage and clutter canceler is provided to generate a cancellation signal according to the power level of the received transmission signal. The cancellation signal is used to cancel leakage and clutter in the received transmission signal such that object displacement in the received transmission signal can be identified.

DOPPLER RADAR SENSOR WITH POWER DETECTOR
20200025876 · 2020-01-23 ·

A Doppler radar sensor with a power detector is disclosed. In the Doppler radar sensor, a power detector is provided to detect the power level of a received transmission signal, and a leakage and clutter canceler is provided to generate a cancellation signal according to the power level of the received transmission signal. The cancellation signal is used to cancel leakage and clutter in the received transmission signal such that object displacement in the received transmission signal can be identified.

HEART AND LUNG MONITORING WITH COHERENT SIGNAL DISPERSION
20200022607 · 2020-01-23 ·

Methods and systems for sensing a physiological characteristic of a subject. At least one receiver antenna can be provided in proximity to a portion of the subject's body to obtain at least one receiver signal resulting from at least one transmitter signal that has propagated to the receiver antenna and has been reflected, diffracted, scattered, or transmitted by or through the portion of the subject's body. One or more coherent signal pairs can be formed. Then, amplitude and phase information of a plurality of frequency components for each signal pair can be determined. A set of comparison values can be determined for each signal pair by comparing respective frequency component phases and respective frequency component amplitudes of the signals. Physiological characteristics of the subject can then be determined from these comparison values.

HEART AND LUNG MONITORING WITH COHERENT SIGNAL DISPERSION
20200022607 · 2020-01-23 ·

Methods and systems for sensing a physiological characteristic of a subject. At least one receiver antenna can be provided in proximity to a portion of the subject's body to obtain at least one receiver signal resulting from at least one transmitter signal that has propagated to the receiver antenna and has been reflected, diffracted, scattered, or transmitted by or through the portion of the subject's body. One or more coherent signal pairs can be formed. Then, amplitude and phase information of a plurality of frequency components for each signal pair can be determined. A set of comparison values can be determined for each signal pair by comparing respective frequency component phases and respective frequency component amplitudes of the signals. Physiological characteristics of the subject can then be determined from these comparison values.

Implantable medical devices and methods for real-time or near real-time adjustment of diaphragmatic stimulation parameters to affect pressures within the intrathoracic cavity
10537735 · 2020-01-21 · ·

A controller detects a cyclic cardiac event of the patient based on a signal obtained from one or more electrodes configured for placement on or near a diaphragm, and delivers an electrical stimulation therapy to a diaphragm of the patient through the one or more electrodes. The delivery of electrical stimulation therapy is timed to the detection of the cyclic cardiac event, and the electrical stimulation therapy is defined by stimulation parameters. The controller monitors a pressure associated with the intrathoracic cavity of the patient based on a signal provided by a pressure measurement source configured to provide a signal indicative of a pressure within an intrathoracic cavity, to determine whether an adjustment of one or more of the stimulation parameters is warranted.

Implantable medical devices and methods for real-time or near real-time adjustment of diaphragmatic stimulation parameters to affect pressures within the intrathoracic cavity
10537735 · 2020-01-21 · ·

A controller detects a cyclic cardiac event of the patient based on a signal obtained from one or more electrodes configured for placement on or near a diaphragm, and delivers an electrical stimulation therapy to a diaphragm of the patient through the one or more electrodes. The delivery of electrical stimulation therapy is timed to the detection of the cyclic cardiac event, and the electrical stimulation therapy is defined by stimulation parameters. The controller monitors a pressure associated with the intrathoracic cavity of the patient based on a signal provided by a pressure measurement source configured to provide a signal indicative of a pressure within an intrathoracic cavity, to determine whether an adjustment of one or more of the stimulation parameters is warranted.

ESTIMATION MODEL FOR MOTION INTENSITY OF A PERSON IN BED
20200015683 · 2020-01-16 ·

A computer-implemented method for learning a model to predict movements of a person in bed is presented. The method includes receiving first data from a plurality of first sensors installed on a bed, receiving second data from a plurality of second sensors installed on the person, and learning a model to predict the second data based on the first data by assuming a sensing range of motion intensity by the plurality of first sensors is greater than a sensing range of motion intensity by the plurality of second sensors.

ESTIMATION MODEL FOR MOTION INTENSITY OF A PERSON IN BED
20200015683 · 2020-01-16 ·

A computer-implemented method for learning a model to predict movements of a person in bed is presented. The method includes receiving first data from a plurality of first sensors installed on a bed, receiving second data from a plurality of second sensors installed on the person, and learning a model to predict the second data based on the first data by assuming a sensing range of motion intensity by the plurality of first sensors is greater than a sensing range of motion intensity by the plurality of second sensors.

COIL ASSEMBLY OF MAGNETIC RESONANCE IMAGING DEVICE
20200018808 · 2020-01-16 · ·

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.