[특허]Method for determining blood pressure utilizing a neural network

Method for determining blood pressure utilizing a neural network 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	A61B-005/00
출원번호	US-0119451 (1993-09-09)
발명자 / 주소	Baker Phillip D. (Salt Lake City UT) Orr Joseph A. (Salt Lake City UT) Westenskow Dwayne R. (Salt Lake City UT) Egbert Timothy P. (Salt Lake City UT)
출원인 / 주소	University of Utah Research Foundation (Salt Lake City UT 02)
인용정보	피인용 횟수 : 89 인용 특허 : 0

초록 ▼

A method and device for indirect, quantitative estimation of blood pressure attributes and similar variable physiological parameters utilizing indirect techniques. The method of practice includes (i) generating a sequence of signals which are quantitative dependent upon the variable parameter, (ii) transmitting and processing the signals within a computer system and associated neural network capable of generating a single output signal for the combined input signals, (iii) directly determining an actual value for the parameter concurrent with the indirect generation of signals of the previous steps, (iv) applying weighting factors within the neural network at interconnecting nodes to force the output signal of the neural network to match the true value of the parameter as determined invasively, (v) recording the input signals, weighting factors and true value as training data within memory of the computer, and (vi) repeating the previous steps to develop sufficient training data to enable the neural network to accurately estimate parameter value upon future receipt of on-line input signals. Procedures are also described for preclassification of signals and artifact rejection. Following training of the neural network, further direct measurement is unnecessary and the system is ready for diagnostic application and noninvasive estimation of parameter values.

대표청구항 ▼

A method for on-line calculation of a variable physiological parameter of a patient, said method comprising the steps of: (1.1) identifying the physiological parameter to be quantitatively monitored and estimated; (1.2) coupling at least one sensor to the patient, said sensor being responsive to register changes in the physiological parameter, which changes are quantitatively dependent on a particular value for the parameter; (1.3) activating the sensor to generate a sequence of on-line signals which register changes in the physiological parameter; (1.4) transmitting the on-line signals as input signals to a computer system, including input nodes of a neural network supported by the computer system, which neural network is capable of calculating an output signal corresponding to a parameter value from the on-line, input signals; (1.5) processing the input signals within the neural network to convert the sequence of input signals to an on-line output signal corresponding to a parameter value by applying fixed weighting factors to the input signals; (1.6) generating said fixed weighting factors by retrieving weighting factors which were previously generated by applying a training algorithm with respect to previously collected training data comprising neural network input signals and corresponding known parameter values.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
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A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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연합인증

Method for determining blood pressure utilizing a neural network 원문보기

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Method for determining blood pressure utilizing a neural network 원문보기

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