A method for operating an accessory device to capture calibration data. The method can include capturing an image of a portion of a user's body that includes the user's stoma and at least two reference locations, and storing distance scale information representative of a distance between the two reference locations. The method further includes processing the captured image, including: identifying the reference locations, identifying the stoma, and generating calibration data representative of one or more stoma parameters as a function of the identified reference locations, identified stoma and the distance scale information. The calibration data can be stored.

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information indicates a non-distress stats and notifies a second set of contact when the opioid monitoring information indicates an overdose event. The notification can be a phone call or text message to a specified person, emergency personnel, or first responders, and can include the location of the smart mobile device. The smart mobile device can also include the location of the nearest treatment center having emergency medication used in treating opioid overdose, such as naloxone.

A non-transitory computer readable storage medium stores instructions causing a computer that processes information stored in an image management apparatus to execute: creating a synthesized image by synthesizing a scout image in a predetermined region of a slice image, the slice image and the scout image being stored in the image management apparatus, and the scout image specifying a cross-section position of the slice image.

An electronic device according to one aspect may include a main body, a sensor part disposed on one surface of the main body and configured to detect a light signal of an object, a first output interface comprising a light emitter disposed on one surface of the main body and configured to guide a user through a measurement operation by controlling a light-emitting mode of the light emitter, and a processor configured to control the first output interface according to the measurement operation and estimate the user's bioinformation based on a result of detecting the light signal by the sensor part.

The present application relates to a method for acquiring maximum principal strain or a maximum principal stress status of a vessel wall. The method includes: acquiring first vessel data of a first time phase corresponding to a vessel; acquiring second vessel data of a second time phase corresponding to the vessel; generating, based on the first vessel data, a first vessel model relating to the first time phase, generating a second vessel model relating to the second time phase based on the second vessel data; determining a region of interest in the first vessel model; determining the corresponding region of interest in the second vessel model; determining a reference point in the region of interest of the first vessel model; determining the corresponding reference point in the region of interest of the second vessel model; determining a displacement of the reference point from the first vessel model to the second vessel model; and determining a maximum principal strain or a maximum principal stress at the reference point based on the displacement of the reference point.

A plurality of electrophysiological signals measured by a respective plurality of electrodes carried by a multi-dimensional catheter can be sorted relative to a direction of interest, such as a cardiac activation wavefront direction. An electroanatomical mapping system can be used to determine the orientation of the multi-dimensional catheter relative to the direction of interest. For example, the user can manually adjust the orientation by manipulating a slider, a wheel, or a similar graphical user interface control. As another example, the user can draw a presumed orientation on a geometric model. Once the orientation is determined, the system can sort the plurality of electrophysiological signals and output a graphical representation of the sorted plurality of electrophysiological signals, for example as a plurality of traces.

Systems and methods for monitoring and display of a hemodynamic status of a patient. Hemodynamic status may be monitored using, for example, a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and/or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.

A sensor network for pregnancy monitoring of a subject includes a plurality of sensor systems time-synchronized to each other, each sensor system placed on a respective region of the subject and having a sensor member configured to detect data associated with at least one of physiological parameters of the subject, and a Bluetooth low energy system-on-a-chip configured to process and transmit the detected data; and a controller adapted in wireless communication with the plurality of sensor systems and configured to receive, from the plurality of sensor systems, to process, and to display the physiological parameters.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

Implementations described and claimed herein provide systems and methods for patient device management. In one implementation, interrogation data is received from a cardiac implantable electronic device corresponding to an interrogation for a patient. The interrogation data includes device data for the cardiac implantable electronic device and patient specific data for the patient. The interrogation data is normalized into manufacturer independent interrogation data. The manufacturer independent interrogation data is associated with a permitted user. A processing status is assigned to the interrogation using the manufacturer independent interrogation data. The interrogation is aggregated into a category based on the processing status, and the category is associated with an action by the permitted user.