Disclosed are biofeedback methods and devices suitable for providing biofeedback useful for helping a user control an own breathing, for example, to help in inducing deep breathing, and such biofeedback devices further comprising a dispenser for dispensing an inhalable substance.

Described here are meters and methods for sampling, transporting, and/or analyzing a fluid sample. The meters may include a meter housing and a cartridge. In some instances, the meter may include a tower which may engage one or more portions of a cartridge. The meter housing may include an imaging system, which may or may not be included in the tower. The cartridge may include one or more sampling arrangements, which may be configured to collect a fluid sample from a sampling site. A sampling arrangement may include a skin-penetration member, a hub, and a quantification member.

An apparatus and a method for providing information are provided. The apparatus includes an interfacing unit configured to receive biometric information, which is measured by an external measuring device, corresponding to a health condition of a body part of a user, from the external measuring device; and a processor configured to determine a visual metaphor representation for characterizing a degree of the health condition based on mapping information between components of the visual metaphor representation and types of the received biometric information, and transform the received biometric information into the determined visual metaphor representation, where the interfacing unit is configured to transmit the transformed visual metaphor representation to an external displaying device.

The present disclosure relates to devices and methods for identifying conditions in a human or animal body, such as pregnancy or ovulation. For example, the present disclosure relates to devices and methods for identifying pregnancy or ovulation, which devices and methods are adapted to mitigate the “hook effect”, thereby improving accuracy of the devices and methods.

An integrated catheter placement system for placing a catheter in a vasculature of a patient. The system includes a system console with a tip location mode and an ultrasound mode viewable on a display, a magnetic assembly emanating a magnetic field, a tip location sensor designed to sense the magnetic field, and an ultrasound probe for ultrasonically imaging an internal portion of the patient. The magnetic field may provide magnetic field information for locating the magnetic assembly relative to the tip location sensor. The tip location sensor is designed to communicate the magnetic field information to the system console. The system console is designed to display an icon representative of a location of the magnetic assembly relative to the tip location sensor in the tip location mode.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

A fall detection system includes a wearing apparatus for wearing by a user and a processor connected to the wearing apparatus. The wearing apparatus is set with an inertial sensor for detecting user motion data. The processor is connected with the inertial sensor of the wearing apparatus. When the user's fall state is recognized, further obtaining the motion data of the user at the time of the stand by the inertial sensor and comparing the motion data according to a normal posture condition and/or an abnormal posture condition in a database to determine damage severity of the user.

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds and operational criteria stored within the monitor. When an alarm condition is sensed by the system, the system can actively solicit patient assistance in the confirmation of the alarm condition based on a set of reactive inputs stored within the system to enable medical personnel to appropriately respond to clinically relevant sensed alarm condition(s).

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds stored within the monitor. The alarm thresholds stored within the monitor are modified by inputs supplied to the monitor regarding the particular condition(s) of the patient being monitored to provide more accurate alarm determinations for the patient. The dynamic adjustment of the alarm threshold during monitoring can be based on a set of proactive inputs to prevent and/or limit the occurrence of unnecessary or clinically irrelevant alarm conditions or a set of reactive inputs that follow immediately after an alarm event is detected, to enable medical personnel to appropriately respond to sensed alarm condition(s).