[특허]Detection/exclusion of acute myocardial infarction using neural network analysis of measurements of biochemical markers

Detection/exclusion of acute myocardial infarction using neural network analysis of measurements of biochemical markers 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	A61B-005/14
출원번호	US-0668260 (1996-06-20)
발명자 / 주소	Groth Torgny Lars (Dobelnsgatan 24A S-752 37 Uppsala SEX) Ellenius Johan (Geijersgatan 15B S-752 26 Uppsala SEX)
인용정보	피인용 횟수 : 22 인용 특허 : 0

초록 ▼

The overall invention categorizes patients with suspected acute myocardial infarction (AMI) with regard to a) AMI/non-AMI; b) infarct size (e.g. Major/Minor); c) time since onset of infarction; and d) non-AMI with/without minor myocardial damage (MMD). Generally, the above categorization is based on frequent timed blood sampling and measurement of selected biochemical markers of AMI with different rates of appearance in circulating blood. The computations are performed by using specially designed artificial neural networks. According to a first main aspect of the invention, early, i.e. generally within 3 hours from admission of the patient, detection/exclusion of acute myocardial infarction is provided. Furthermore, early prediction of the infarct size and early estimation of the time from onset are also provided.

대표청구항 ▼

A method for early detection of acute myocardial infarction (AMI) in a patient, comprising the steps of: measuring, with a predetermined timing and at at least two different time instances occurring within 3 hours from admission of said patient, concentration levels of at least two biochemical markers of AMI in plasma of said patient, said at least two biochemical markers having different rates of appearance in said plasma at AMI; generating an indication of AMI based on a first predetermined set of said concentration levels and first empirical data comprising concentration levels obtained from previous patients with AMI/non-AMI and a preclassification of the presence/absence of AMI in said previous patients by using a neural network structure trained with said first empirical data to detect marker-patterns of AMI; and predicting the infarct size based on a second predetermined set of said concentration levels and second empirical data comprising concentration levels obtained from previous patients with different infarct sizes and a preclassification of the infarct sizes of said previous patients, whereby an early detection of AMI and an early infarct size prediction are obtained.

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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

Detection/exclusion of acute myocardial infarction using neural network analysis of measurements of biochemical markers 원문보기

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연구과제 타임라인

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Detection/exclusion of acute myocardial infarction using neural network analysis of measurements of biochemical markers 원문보기

초록 ▼

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연구과제 타임라인

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