An Algorithm for Estimation of Blood cholesterol based on Regression Technique

Nazareth, I.A.P.; Vernekar, S.R.; Gad, R.S.; Naik, G.M.

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dc.contributor.author	Nazareth, I.A.P.
dc.contributor.author	Vernekar, S.R.
dc.contributor.author	Gad, R.S.
dc.contributor.author	Naik, G.M.
dc.date.accessioned	2015-09-22T08:39:36Z
dc.date.available	2015-09-22T08:39:36Z
dc.date.issued	2014
dc.identifier.citation	International Journal of Advanced Research in Computer Science and Software Engineering. 4(8); 2014; 758-761.	en_US
dc.identifier.uri	http://www.ijarcsse.com/docs/papers/Volume_4/8_August2014/V4I7-0570.pdf
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/3611
dc.description.abstract	In order to lead a healthy life, it is important for a human being to know his/her blood level parameters. The human blood has over 100 constituents of which Cholesterol is an important parameter, which needs to be estimated for health purposes. It is necessary to develop an instrument to measure blood constituents non-invasively which would be user friendly, portable and reliable. This manuscript describes the algorithm to estimate Blood Cholesterol. Here the PLS and NIPALS algorithm is explained. The manuscript includes the data obtained for Cholesterol dissolved in water as per percentage found in the human blood. The data thus obtained will be fed to a multivariate system programmed in FPGA device to estimate the cholesterol concentration. The studies on other blood constituents such as Glucose, Alanine, Lactate, etc. are in progress. The results shown are in the RF absorption range of 10MHz-4GHz.	en_US
dc.publisher	IJARCSSE	en_US
dc.subject	Electronics	en_US
dc.title	An Algorithm for Estimation of Blood cholesterol based on Regression Technique	en_US
dc.type	Journal article	en_US