Prediction model of sinoatrial node field potential using high order partial least squares.

Abstract:

:High order partial least squares (HOPLS) is a novel data processing method. It is highly suitable for building prediction model which has tensor input and output. The objective of this study is to build a prediction model of the relationship between sinoatrial node field potential and high glucose using HOPLS. The three sub-signals of the sinoatrial node field potential made up the model's input. The concentration and the actuation duration of high glucose made up the model's output. The results showed that on the premise of predicting two dimensional variables, HOPLS had the same predictive ability and a lower dispersion degree compared with partial least squares (PLS).

journal_name

Biomed Mater Eng

authors

Feng Y,Cao H,Zhang Y

doi

10.3233/BME-151482

subject

Has Abstract

pub_date

2015-01-01 00:00:00

pages

S1805-11

eissn

0959-2989

issn

1878-3619

pii

BME1482

journal_volume

26 Suppl 1

pub_type

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