Abstract: A sensor assembly for sensing a physiological characteristic includes a power source, a power control switch, and a power latch configured to latch an output of the power control switch. The sensor assembly also includes a power converter coupled to the power control switch. The power converter is configured to step down a voltage of the latched output of the power control switch for delivery of the latched output to one or more components of the sensor assembly. The power control switch is configured to inhibit consumption of power from the power source when the sensor assembly is in a pre-deployment state and output the latched output to the power converter in response to transition of the sensor assembly from the pre-deployment state to a deployed state.

Abstract: A sensor assembly for sensing a physiological characteristic includes a power source configured to deliver power to one or more components of an electrical subsystem upon deployment of the sensor assembly to a user. A power latch is configured to latch an output of a power control switch for delivery to one or more components of the electrical subsystem upon deployment of the sensor assembly to a user. The power control switch is configured to inhibit delivery of power to the electrical subsystem prior to deployment of the sensor assembly to a user and to deliver the latched output to one or more components of the electrical subsystem in response to deployment of the sensor assembly to a user.

Abstract: Method and apparatus to automatically monitor and control a perfusion hyperthermia treatment using a system including one or more programmed computers, and mechanical and sensor subsystems. The system includes a fluid path between a patient and an external fluid-treatment subsystem, wherein control of the external fluid-treatment subsystem includes feedback from sensors coupled to the patient. The resulting integrated system provides automated monitoring and control of the patient, the external fluid-treatment subsystem, and the treatment. In one embodiment, the fluid passing between the patient and the external fluid-treatment subsystem is blood. In one embodiment, an apparatus and method are provided for using a computerized system for a perfusion hyper/hypothermia treatment of a patient which obtains a body fluid having a temperature. A plurality of temperature signals representative of temperatures at each of a plurality of patient locations on or within the patient are coupled to the computer system.

Abstract: Method and apparatus to automatically monitor and control a perfusion hyperthermia treatment using a system including one or more programmed computers, and mechanical and sensor subsystems. The system includes a fluid path between a patient and an external fluid-treatment subsystem, wherein control of the external fluid-treatment subsystem includes feedback from sensors coupled to the patient. The resulting integrated system provides automated monitoring and control of the patient, the external fluid-treatment subsystem, and the treatment. In one embodiment, the fluid passing between the patient and the external fluid-treatment subsystem is blood. In one embodiment, an apparatus and method are provided for using a computerized system for a perfusion hyper/hypothermia treatment of a patient which obtains a body fluid having a temperature. A plurality of temperature signals representative of temperatures at each of a plurality of patient locations on or within the patient are coupled to the computer system.

Abstract: A system for simulating the activity of the heart includes a computer controlled heart model for generating and displaying simulated electrogram signals. To accomplish this task, the simulation system includes various hardware components and software designed to realize a heart model and generate electrogram display data. Based on the recognition that groups of cells (tissue groups) of the heart can be selected such that the electrical characteristics of the tissue group, as a whole, resembles the simple electronic characteristics of an individual cell, the model is designed to simulate the electrical activities and interaction of multiple tissue groups. With this approach, each tissue group is associated with a software controlled state machine that changes states in response to stimulation signals from other tissue groups, internal or external sources, or timer expirations.