최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0960855 (2001-09-21) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 413 인용 특허 : 21 |
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be pr
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be provided by an optimal estimator implemented using a linearized Kalman filter. The estimated glucose level and the reference glucose level are processed by the Kalman control algorithm to determine a control command in real time. The Kalman control algorithm has a dynamic process forced by the control command a cost function determining a relative level of control. The control command is provided to a dispenser which secretes insulin or glucagon in response to the control command to correct a relatively high glucose level or a relatively low glucose level.
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be pr
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be provided by an optimal estimator implemented using a linearized Kalman filter. The estimated glucose level and the reference glucose level are processed by the Kalman control algorithm to determine a control command in real time. The Kalman control algorithm has a dynamic process forced by the control command a cost function determining a relative level of control. The control command is provided to a dispenser which secretes insulin or glucagon in response to the control command to correct a relatively high glucose level or a relatively low glucose level. recording. 13. A method according to claim 1, wherein an additional component of the vocal recording is used to define the method of data analysis that should be applied to the recorded physiological information. 14. Body monitoring apparatus including: processing electronics for receiving and recording on a storage medium physiological information from a human or animal subject using at least one physiological sensor; processing electronics for receiving and recording a vocal signal from an acoustic sensor, the vocal signal including a component suitable for the identification of the human or animal subject of the recording; processing electronics for storing the vocal signal onto the same storage medium as used to store the physiological information; processing electronics for ensuring that only one vocal signal is stored within the storage medium, such that the stored vocal signal acts as a unique acoustic identification label for the physiological information stored within the storage medium. 15. Apparatus according to claim 14, wherein the vocal recording contains a component suitable for the identification of at least one of the physician, clinician, hospital, clinic, and company for whom the monitoring is performed. 16. Apparatus according to claim 14, wherein the vocal recording is a primary means of identifying the human or animal subject of the recording. 17. Apparatus according to claim 14, wherein the vocal recording is the primary means of identifying at least one of the physician, clinician, hospital, clinic, and company for whom the monitoring is performed. 18. Apparatus according to claim 14, where the vocal recording is made before or after, not concurrent with, the recording of the physiological information. 19. Apparatus according to claim 14, including a loudspeaker and processing electronics such that the vocal recording, or a previously stored sound signal, may be replayed through the loudspeaker. 20. Apparatus according to claim 14, the processing electronics adapted for supplying power to activate the acoustic sensor only when a vocal recording is to be made. 21. Apparatus according to claim 14, the processing electronics adapted for restricting power to deactivate the acoustic sensor when a vocal recording is not being made. 22. Apparatus according to claim 14, comprising means to transmit both the recorded physiological information and a recorded vocal signal to a remote location in such a manner that these recordings are directly associated with each other. 23. A method of monitoring physiological information according to claim 1, wherein a new vocal signal acquired automatically overwrites the previously stored vocal signal such that only one stored vocal signal containing the subject identified component can be stored within the storage medium at any time. 24. A method of monitoring physiological information according to claim 1, wherein the vocal signal recording contains a component adapted to define a method of data analysis that is to be applied to the stored physiological information. 25. A method according to claim 1, wherein the vocal signal recording and the physiological recording are stored as associated data and the vocal signal recording is used directly as an acoustic label for the physiological recording. 26. A method according to claim 10, wherein the transmitted vocal signal contains a component suitable for the identification of at least one of a doctor, clinician, hospital, clinic and company conducting said recording procedure. 27. A method according to claim 9, wherein at last part of the vocal recording is transcribed and said transcription is used to label the transmitted physiological recording, by at least one of appended data, prefixed data and encoded data within the stored physiological recording. 28. Apparatus according to claim 6, further including: processing electronics for automatically overwriting a previously stored local signal on acquiring a new vocal si
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