Systems and methods are provided for detecting and analyzing changes in a body. A system includes an electric field generator, an external sensor device, a quadrature demodulator, and a controller. The electric field generator is configured to generate an electric field that associates with a body. The external sensor device sends information to the electric field generator and is configured to detect a physical change in the body in the electric field, where the physical change causes a frequency change of the electric field. The quadrature demodulator receives the electric field from the electric field generator and is configured to detect the frequency change of the electric field and to produce a detected response. The controller, coupled to the electric field generator, is configured to output a frequency control signal to the electric field generator and to modify the frequency of the electric field by adjusting the frequency control signal.

The present invention relates to a heart tissue ablation device comprising a charged particle emitting system 1, a control system 2 for instructing the accelerator and beamline when to create the beam and what its required properties should be, a patient positioning and verification system, an ultrasound cardiac imaging system 3 performed on the patient, able to track the target movement, a computer program to determine and record the safe motion margins, the treatment plans for one or more motion phases and a computer program to regulate the control system 2 to load the correct irradiation plan according to the motion phase and if the position of the target is inside of the position margin, the irradiation is enabled and if the position of the target is outside of the position margin, the irradiation is disabled.

The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

A method of analyzing a multidimensional image tensor containing a plurality of images comprises: performing imaging scans of a subject imaging data; generating the multidimensional image tensor from the imaging data; determining a spatial basis tensor containing basis images based on the multidimensional image tensor; determining a temporal basis tensor containing basis functions for a temporal dimension based on the multidimensional image tensor; determining a core tensor that relates the spatial basis tensor to the temporal basis tensor; pre-multiplying the core tensor and the temporal basis tensor to produce a modified temporal basis tensor; storing the spatial basis tensor and the modified temporal basis tensor; and generating an image by multiplying at least (i) at least a portion of the spatial basis tensor and (ii) at least a portion of the modified temporal basis tensor.

A computer-implemented method includes obtaining movement data associated with a subject and measured by a stationary motion sensor. The movement data includes a series of values representing a series of movement events of the subject crossing fields of view of the stationary motion sensor. Each movement event in the series of movement events is associated with a respective time stamp. The computer-implemented method further includes extracting a plurality of features from the movement data, determining that the movement data is consistent with symptoms of an illness using a machine-learning model and based upon the plurality of features, and generating an output indicating a result of the determination.

A swallowing medical device includes: an attachment unit configured to be attached to a target portion of a human body for a medical operation; a control unit configured to control the medical operation; and a storage configured to store use information regarding a use state over time of the attachment unit. The control unit executes a control for restricting use of the attachment unit on the basis of a fact that the use information does not satisfy a set condition for ensuring a characteristic of the attachment unit.

A media system controls presentation of media content based on a detected state of a user. The user state may be detected based on biometric inputs that may be derived from IMU and/or microphone data. The biometric inputs may include a heart rate detected from IMU data representing motion of a head-mounted media processing device, a breathing rate detected from IMU data representing motion of a head-mounted media processing device, a breathing rate detected based on microphone data, or a combination thereof.

A program causes a computer to execute a process of acquiring motion information relating to motion of respiratory muscles or accessory respiratory muscles from a detection sensor that detects the motion information and action potential information relating to the respiratory muscles or the accessory respiratory muscles from an electromyogram sensor that acquires the action potential information, a process of detecting an abnormality in a respiratory system disease on the basis of the acquired motion information and action potential information, and a process of outputting information on the abnormality when the abnormality is detected.