Remote wireless monitoring of blood oxygen and temperature

    公开(公告)号:GB2346217A

    公开(公告)日:2000-08-02

    申请号:GB0000709

    申请日:2000-01-14

    Applicant: IBM

    Abstract: A detection device capable of being coupled to a person for remotely monitoring heart and respiratory functions includes a processor, a photo cell coupled to the processor for determining blood oxygen content of the person and a temperature sensor coupled to the processor for determining a temperature of the person. The processor compares the determined blood oxygen content and the temperature to desired values. A transmitter is included for transmitting a warning signal if one of the determined blood oxygen content and the temperature are other than the desired values. The device is battery powered and transmits signals at radio frequencies. The warning may be visual or audible.

    SYSTEM AND METHOD FOR EXTERNALIZABLE INFERENCING COMPONENTS

    公开(公告)号:AU2002361844A1

    公开(公告)日:2004-07-22

    申请号:AU2002361844

    申请日:2002-12-21

    Applicant: IBM

    Abstract: A technique is provided for managing ( 1210 ) externalizable inference components. The technique allows for dynamic construction of inferences from separate components, and externalization of data for controlling dynamic constructable inferences. One key benefit realized is the capability to mix and match various externalized inference components to form new inferences; or stated in a different way, the ability to deduce new knowledge by combining (reusing) and exercising various components in new ways. Provisions are made for pluggable inference components that can be combined in many distinct ways to fit the needs of different applications. This allows inference components to be developed independently and to be highly portable.

    SYSTEM AND METHOD FOR EXTERNALIZABLE INFERENCING COMPONENTS

    公开(公告)号:CA2508114A1

    公开(公告)日:2004-07-15

    申请号:CA2508114

    申请日:2002-12-21

    Applicant: IBM

    Abstract: A technique is provided for managing (1210) externalizable inference components. The technique allows for dynamic construction of inferences from separate components, and externalization of data for controlling dynamic constructable inferences. One key benefit realized is the capability to mix and match various externalized inference components to form new inferences; or stated in a different way, the ability to deduce new knowledge by combining (reusing) and exercising various components in new ways. Provisions are made for pluggable inference components that can be combined in many distinct way s to fit the needs of different applications. This allows inference components to be developed independently and to be highly portable.

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