An apparatus, method and computer program is described comprising: varying a magnetic field strength of a magnetic field applied to a subject; determining a rate of power loss of the magnetic field, wherein the rate of power loss is a function of the varying magnetic field strength; and providing an output signal based on the determined rate of power loss, wherein the output signal comprises information relating to a conductivity distribution of the subject.

A terminal is disclosed. The terminal according to an embodiment of the present invention comprises: an output unit for outputting a notification; a storage unit for storing a database; a control unit for controlling the outputting of the notification; and an artificial intelligence unit for acquiring information regarding a user's context, and outputting a notification when the user's context corresponds to information included in the database, wherein the database includes at least one of a user's personal database, a standard activity database, and an accident type database.

A system and method are provided for monitoring body kinematics. A wearable coil configuration of the system comprises at least first and second electrically-conductive coils adapted to be secured to a subject in a predetermined spatial relationship and orientation relative to one another. The first coil acts as a first transmitter and generates a first magnetic flux when a first electrical current is passed through it. The second coil acts as a receiver. The first magnetic flux induces a first electrical current or voltage in the second coil. A measurement instrument of the system is configured to measure the first electrical current or voltage and to output a first measurement signal. A processor, which may be part of, or external to, the system is configured to execute a motion monitoring algorithm that processes at least the measurement signal to determine at least a first motion made by the subject.

Training a machine learning neural network (MLNN) in radiowave based monitoring of fall characteristics in diagnosing injury. The method comprises receiving, in a first set of input layers of the MLNN, from a millimeter wave (mmWave) radar sensing device, a set of mmWave radar point cloud data representing fall attributes associated with a subject, each of the first set associated with a respective fall attribute; receiving, at a second set of input layers of the MLNN, a set of personal attributes of the subject, training a MLNN classifier based on supervised training that establishes a correlation between an injury condition of the subject as generated at the output layer, the mmWave point cloud data, and personal attributes; and adjusting an initial matrix of weights by backpropagation to increase correlation between the injury condition, the mmWave point cloud data, and the personal attributes.

A medical system includes a catheter configured to be inserted into a body part of a living subject, and including a distal end comprising an electrode, and a processor configured to compute position coordinates of the electrode, and find a measure of proximity of the electrode to tissue of the body part responsively to the position coordinates of the electrode and position coordinates of a wall of an anatomical map of the body part.

Systems, methods, and instrumentalities are disclosed for switching a control scheme to control a set of system modules and/or modular devices of a surgical hub. A surgical hub may determine a first control scheme that is configured to control a set of system modules and/or modular devices. The surgical hub may receive an input from one of the set of modules or a device located in an OR. The surgical hub may make a determination that at least one of a safety status level or an overload status level of the surgical hub is higher than its threshold value. Based on at least the received input and the determination, the surgical hub may determine a second control scheme to be used to control the set of system modules. The surgical hub may send a control program indicating the second control scheme to one or more system modules and/or modular devices.

Disclosed is a system for associating a symptom with a medical condition. The system comprises a server arrangement, associated with a user device. The server arrangement is operable to: provide, to user device, a set of user activities; receive, from user device, information relating to selection of a user activity from set of user activities; receive, from user device, user input associated with selected user activity; analyse user input and assign performance score thereto; identify, based on performance score, one or more symptoms; and assign severity score to symptom for associating symptom with medical condition. Disclosed also is method for associating symptom with medical condition and computer program product to execute aforementioned method.

A hearing assistance device adapted to be worn by a wearer comprises a processor configured to generate a sequence of audio cues that audibly guide the wearer through a series of actions involving the wearer's head and neck in accordance with a predetermined corrective or therapeutic maneuver. A speaker is configured to play back the sequence of audio cues for reception by the wearer. One or more sensors are configured to sense movement of the head during each of the actions. The processor is configured to determine if head movement for an action associated with each audio cue has been correctly executed by the wearer, and produce an output indicative of successful or unsuccessful execution of the actions by the wearer.

A system for instrument guidance is disclosed. The system can include an instrument guide device and a transducer system. The instrument guide device can include an instrument guide and an instrument guide bracket that includes a magnet, and the instrument guide bracket can be removably attachable to the instrument guide. The transducer system can include an ultrasound probe bracket that is removably attachable to an ultrasound probe. Further, the instrument guide device can removably attach to the ultrasound probe bracket. The ultrasound probe bracket can further include a first sensor and second sensor. The first sensor can wirelessly track a position of the magnet to determine position data of the instrument guidance system. And the second sensor can provide power or disengage power to the instrument guidance device when the instrument guide is attached or detached, respectively.

A signal processing apparatus includes a memory, and a processor coupled to the memory and configured to perform a process including obtaining measurement data including a signal of interest and an interference signal generated in proximity to a signal source of the signal of interest, estimating a signal source in an extraction target area including the signal source of the signal of interest and a signal source of the interference signal based on the measurement data, selecting the signal source of the interference signal based on a result of the estimating a signal source and extracting interference signal data generated from the selected signal source of the interference signal, and extracting the signal of interest by removing a common part between the measurement data and the interference signal data.