A system for analyzing a condition of an animal, wherein the system includes at least an identification unit (2.1) which is arranged to be worn by an animal, wherein the identification unit includes a first transmitter unit (4), a movement sensor (6), and a control unit (8) which is communicatively connected with the transmitter unit and the movement sensor, wherein the system further includes a receiver unit (8) and a computer (10) which is connected with the receiver unit and wherein the system further includes positioning means for measuring a position of the identification unit, wherein the control unit is arranged for, in use, storing and/or processing electronic information of movements of the animal which have been obtained with the movement sensor. The system is further arranged to feed positions of the identification unit measured with the aid of the positioning means to the computer and/or the control unit, wherein the computer and/or the control unit is arranged to process the electronic information about detected movements and the electronic information about the measured positions in combination for analyzing the condition of the animal.

A system for analyzing a condition of an animal, wherein the system includes at least an identification unit (2.1) which is arranged to be worn by an animal, wherein the identification unit includes a first transmitter unit (4), a movement sensor (6), and a control unit (8) which is communicatively connected with the transmitter unit and the movement sensor, wherein the system further includes a receiver unit (8) and a computer (10) which is connected with the receiver unit and wherein the system further includes positioning means for measuring a position of the identification unit, wherein the control unit is arranged for, in use, storing and/or processing electronic information of movements of the animal which have been obtained with the movement sensor. The system is further arranged to feed positions of the identification unit measured with the aid of the positioning means to the computer and/or the control unit, wherein the computer and/or the control unit is arranged to process the electronic information about detected movements and the electronic information about the measured positions in combination for analyzing the condition of the animal.

A method for reducing artifacts in magnetic resonance imaging (MRI) data includes acquiring a k-space dataset of an anatomical subject using a MRI scanner. An iterative compressed sensing reconstruction method is used to generate a reconstructed image based on the k-space dataset. This iterative compressed sensing reconstruction method uses (a) L1-norm based total variation constraints applied the temporal and spatial dimensions of the k-space dataset and (b) a low rank constraint. After the reconstructed image is generated, a deep learning network is used to generate an artifact image depicting motion artifacts present in the reconstructed image. The reconstructed image is subtracted from the artifact image to yield a final image with the motion artifacts removed.

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

Embodiments of the present invention provide reliable, convenient, and cost-effective methods and apparatuses to determine the hemodynamic status of the patent. The methods and apparatuses provide for the noninvasive determine of hemodynamic status by using systematic perturbations of venous return or trend observation over time. Embodiments do not require invasive pressure monitoring or the use of ventilator but instead can be an entirely noninvasive system.

Techniques for performing one or both of gesture recognition and biometric monitoring with an electronic device are disclosed, where the electronic device has a wireless communications capability using beamforming techniques and includes a plurality of millimeter wave antenna modules. Each module includes at least one transmit antenna and at least one receive antenna, operable in one or more frequency ranges not less than 20 GHz, the receive antenna coupled with a first branch configured to receive H-polarized signals and a second branch configured to receive V-polarized signals. Performing one or both of gesture recognition and biometric monitoring includes detecting a presence and motion of a reflective object or anatomical feature by determining a relationship between received H-polarized signals and received V-polarized signals for two or more receive antennas as a function of time.

Techniques for performing one or both of gesture recognition and biometric monitoring with an electronic device are disclosed, where the electronic device has a wireless communications capability using beamforming techniques and includes a plurality of millimeter wave antenna modules. Each module includes at least one transmit antenna and at least one receive antenna, operable in one or more frequency ranges not less than 20 GHz, the receive antenna coupled with a first branch configured to receive H-polarized signals and a second branch configured to receive V-polarized signals. Performing one or both of gesture recognition and biometric monitoring includes detecting a presence and motion of a reflective object or anatomical feature by determining a relationship between received H-polarized signals and received V-polarized signals for two or more receive antennas as a function of time.

In a method and apparatus for determining a physiological activity signal in a subject using various movement sensors that each transmit a temporal movement signal, a physiological reference signal is determined from the various movement signals that best depicts a physiological movement of the subject, the movement sensor that generates the physiological reference signal is identified as a physiological reference sensor, at least one physiological addition signal is determined from the temporal movement signals that is similar to the physiological reference signal up to a limit, and the physiological reference signal and the at least one addition signal are added to form the physiological activity signal.

In a method and apparatus for determining a physiological activity signal in a subject using various movement sensors that each transmit a temporal movement signal, a physiological reference signal is determined from the various movement signals that best depicts a physiological movement of the subject, the movement sensor that generates the physiological reference signal is identified as a physiological reference sensor, at least one physiological addition signal is determined from the temporal movement signals that is similar to the physiological reference signal up to a limit, and the physiological reference signal and the at least one addition signal are added to form the physiological activity signal.

The disclosed sensor assembly may be used in a patient monitoring system to monitor one or more physiological parameters of a patient. The sensor assembly may include a substrate and one or more electrodes, which may include a lattice structure to limit a contact area between the one or more electrodes and skin of the patient. The sensor assembly may include connectors or connector assemblies that facilitate connection between the one or more electrodes and a data acquisition unit. The sensor assembly may be especially useful for patients with sensitive skin, such as infants in a neonatal intensive care unit (NICU).