An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

A wearable device according to the present disclosure includes: a communication portion; a body fluid sensor configured to measure conductivity in body fluid; and a controller configured to control the communication portion to transmit conductivity data to an external device in response to the frequency of rapid change in the conductivity.

A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

Techniques are disclosed for adjusting a transmission frequency of a physiological monitoring unit, which includes a capture unit and a receiver unit. The capture unit and the receiver unit are wirelessly connected together and are configured to exchange data on the transmission frequency by means of a programming unit.

The present disclosure provides a system and method for image data acquisition. The method may include acquiring physiological data of a subject. The physiological data may correspond to a motion of the subject over time. The method may include obtaining a trained machine learning model configured to detect feature data represented in the physiological data. The method may include determining, based on the physiological data, an output result of the trained machine learning model that is generated based on the feature data. The method may include acquiring, based on the output result, image data of the subject using an imaging device.

A method of providing content related to capture of a medical image of an object is provided. The method includes acquiring at least one of information related to a state of the object and information related to a capture protocol, determining content to be provided to the object on a basis of the acquired information, and outputting the determined content.

Methods, systems, and apparatus for signal artifact detection and reduction are provided. The signal artifact may comprise an interference between an electroencephalography (EEG) signal and a magnetic resonance imaging (MRI) signal arising out of simultaneous EEG and MRI treatment.

In some embodiments, a wound dressing includes at least one motion sensor for sensing a motion related parameter associated with motion of the wound dressing; and at least one further sensor for sensing a healing related parameter associated with wound healing at a region of tissue of a wound or proximate a wound covered by the wound dressing.

Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

A method of an electronic device is provided. The method includes obtaining, from a memory of the electronic device, information indicating a usage relationship between distinct states of a user of the electronic device and at least one body part, identifying a first state of the user corresponding to a first function among a plurality of functions executable by the electronic device, identifying an event for executing a second function different from the first function, comparing, in response to identifying the event, a first body part used by the user associated with the first state and a second body part used by the user associated with a second state corresponding to the second function, based on the obtained information, and executing, in response to the identified event, a third function indicated in the information as being associated with the second function, based on a result of the comparing.