The present invention provides an alarm controlling method, an alarm controlling apparatus and an adaptive alarming method for a patient monitor. The alarm controlling method comprises: acquiring false alarm probabilities of a plurality of current alarms; acquiring a corresponding alarm confidence according to a false alarm probability of each current alarm; and determining a priority of the current alarm based on at least the alarm confidence of the current alarm.

This document discusses, among other things, patient monitoring systems, apparatus, and methods that change the operation of an ambulatory medical device (AMD) using geographic location information.

A patient bed is provided in a healthcare facility having a network including a real time locating system (RTLS) and an electronic medical records (EMR) computer. The patient bed includes bed control circuitry that is configured to receive at least one protocol messages from the EMR computer and, in response to the at least one protocol message, enables at least one bed safety protocol in which at least one bed condition is monitored by the bed control circuitry. The bed control circuitry generates an alert in response to the at least one bed condition being in an undesirable state and no caregiver being present in the patient room as determined by the RTLS and communicated to the bed circuitry. The bed control circuitry suspends monitoring the at least one bed condition in response to the RTLS indicating to the bed control circuitry that at least one caregiver is present in the patient room.

A display device in a monitored-person monitoring system according to the present invention is a device for a monitored-person monitoring system in which each of a plurality of monitored persons is sensed and the plurality of monitored persons is monitored, the device receiving and displaying monitoring information on the monitored person. While a monitoring information display screen expressing the monitoring information on a certain monitored person among the plurality of monitored persons is displayed, even if the monitoring information on another monitored person who is different from the certain monitored person is received, the display of the monitoring information display screen expressing the monitoring information on the certain monitored person is continued as long as a predetermined input manipulation has been accepted.

The present invention provides an alarm controlling method, an alarm controlling apparatus and an adaptive alarming method for a patient monitor. The alarm controlling method comprises: acquiring false alarm probabilities of a plurality of current alarms; acquiring a corresponding alarm confidence according to a false alarm probability of each current alarm; and determining a priority of the current alarm based on at least the alarm confidence of the current alarm.

The present invention pertains to a system and method for facilitating adaptive recentering in virtual reality (VR) environments capable of autonomously monitoring a user's viewpoint orientation within a VR environment using integrate sensors to detect deviations exceeding a predetermined threshold angle from a central reference point. The system employs an algorithm to evaluate the duration and extent of the user's viewpoint deviation, enabling detection of potential recentering needs without requiring direct physical input.

A model was developed to predict vital-signs of hemorrhage patients and optimize the management of fluid resuscitation in mass casualties. In at least one embodiment, the model uses a limited data stream (the initial 10 minutes of vital-sign monitoring) to predict at an individual (personalized) level the outcomes of different fluid resuscitation allocations 60 minutes into the future. The predicted outcomes were then used to select the optimal resuscitation allocation for various simulated mass-casualty scenarios. The theoretical benefits of this approach included up to 46% additional casualties restored to healthy vital signs and a 119% increase in fluid-utilization efficiency. The greatest benefit of this technology lies in its ability to provide personalized interventions that optimize clinical outcomes under resource-limited conditions, such as in civilian or military mass-casualty events, involving moderate and severe hemorrhage.