Non-invasive approach to predict the cholesterol level in blood using bioimpedance and neural network techniques

• Main Authors: Mohktar, M.S., Ibrahim, F., Ismail, N.A.
• Format: Article
• Published: 2013
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9318/; http://www.scopus.com/inward/record.url?eid=2-s2.0-84890276768&partnerID=40&md5=d130d545eb70a10022749dcf150c6e65
• Institution: Universiti Malaya

This paper presents a new non-invasive approach to predict the status of high total cholesterol (TC) level in blood using bioimpedance and the artificial neural network (ANN) techniques. The input parameters for the ANN model are acquired from a non-invasive bioelectrical impedance analysis (BIA) me...