The present disclosure relates to a method and a system for validating inspiratory muscle activity of a patient. Left and right electrical activity signals respectively representing activity of a left muscle and of a right muscle synchronized with an inspiratory effort of the patient are acquired from non-invasive sensors. A cardiac activity signal is extracted from the left and right electrical activity signals. A synchrony, a symmetry or a proportionality of the left and right electrical activity signals from which the cardiac activity signal is extracted is verified. A mechanical ventilation system incorporating the system for validating inspiratory muscle activity of the patient is also disclosed.

Provided are a method of controlling a wearable device and a wearable device. The method of controlling the wearable device includes: determining whether a sensor provided in the wearable device is in an activated state; controlling an adherency controller for adjusting adherency between the sensor and a body of a user wearing the wearable device based on whether the sensor is in the activated state; and detecting a biosignal via the sensor.

3D cine MR angiography systems and methods are disclosed for use during the steady state intravascular distribution phase of ferumoxytol. The 3D cine MRA technique enables improved delineation of cardiac anatomy in pediatric patients undergoing cardiovascular MRI.

3D cine MR angiography systems and methods are disclosed for use during the steady state intravascular distribution phase of ferumoxytol. The 3D cine MRA technique enables improved delineation of cardiac anatomy in pediatric patients undergoing cardiovascular MRI.

A sleep scoring device is provided for, including a contactless biometric sensor, a processor, memory, and a microphone. The sleep scoring device may detect a user's sleep state by reading signals from the contactless biometric sensor based on at least one of a detected change in heartrate, body movement, or respiration, and log the biometric information. The sleep scoring device may also generate a sleep score for a sleep session based on the latency of the sleep session, the number of detected waking events, the amount of REM sleep, the amount of deep sleep, or the number of times the snooze button was pressed during the sleep session.

An equipment for monitoring physiological status of a user includes a sound detection unit, a chest detection unit, an abdomen detection unit, and a control unit. The sound detection unit is configured to detect sound of breath and to generate a sound detection signal based on the sound of breath. The chest detection unit is configured to detect a parameter related to movement of a chest and to generate a chest detection signal based on the detection. The abdomen detection unit is configured to detect a parameter related to movement of an abdomen and to generate an abdomen detection signal based on the detection. The control unit is electrically connected to the sound detection unit, the chest detection unit, and the abdomen detection unit and is configured to determine a breathing status of a user based on the sound detection signal, the chest detection signal, and the abdomen detection signal.

An equipment for monitoring physiological status of a user includes a sound detection unit, a chest detection unit, an abdomen detection unit, and a control unit. The sound detection unit is configured to detect sound of breath and to generate a sound detection signal based on the sound of breath. The chest detection unit is configured to detect a parameter related to movement of a chest and to generate a chest detection signal based on the detection. The abdomen detection unit is configured to detect a parameter related to movement of an abdomen and to generate an abdomen detection signal based on the detection. The control unit is electrically connected to the sound detection unit, the chest detection unit, and the abdomen detection unit and is configured to determine a breathing status of a user based on the sound detection signal, the chest detection signal, and the abdomen detection signal.

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.

A hand-held pediatric medical diagnostic device includes a sensor module adapted to detect one or more corresponding conditions of a child. A gel material at least partially coats a contact surface on the diagnostic device. The area of the contact surface and the weight associated therewith are selected to substantially stabilize the sensor module during use. In one version, the pediatric device comprises a pediatric respiratory rate sensing device in which an accelerometer is connected to a portable, rechargeable power source.