Siemens Aktiengesellschaft

Siemens Corporation

Steven A Russell

Justinian Rosca

Heiko Claussen

Nazif Cihan Tas

Christian P Schultz

Carolyn Joiner

A patient monitoring and intervention system, comprises an interface for receiving data representing multiple different parameters from multiple different sensors, comprising sensors in a patient bed and attached to a patient including, a heart rate sensor, a respiration sensor and a pressure sensor indicating bed pressure points. A learning processor determines a normal range for a set of the different received patient parameters for the patient by recording the patient parameter values over a time period and analyzing the recorded parameter values to determine their range. A data processor determines if the set of different received patient parameters exceeds the determined normal range and in response to this determination and in response to the type of parameters in the set and medical record information of the patient, initiates adjustment of a patient bed and at least one of, (a) changes medication administered to a patient and (b) alerts a worker of the patient parameter change.

Learning patient monitoring and intervention system

Methods and systems are described that allow coordinated users to employ avatars to observe and control a plurality of buildings&#x2014;their building support systems and functions from a virtual world environment. Embodiments coordinate building supervisory personnel (specialists), building monitoring and control equipment, and repair (worker) personnel in a virtual world that is controlled by specialist avatars. Operations personnel perform building operation decisions in response to current situations in a virtual world using their specialist avatars.

Virtual world building operations center

Growing community of inventors

Princeton, NJ, United States of America

Steven A Russell