Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method

作者：

Highlights：

• Automated identification of normal and diabetic subjects using HRV signals.

• Features are extracted using DWT method.

• Ranked features are subjected to various classifiers.

• Proposed method classifies diabetes and normal subjects with 92.02% accuracy.

摘要

•Automated identification of normal and diabetic subjects using HRV signals.•Features are extracted using DWT method.•Ranked features are subjected to various classifiers.•Proposed method classifies diabetes and normal subjects with 92.02% accuracy.

论文关键词：Diabetes,HRV,Classifier,DWT,Feature extraction,Feature ranking

论文评审过程：Received 9 June 2014, Revised 3 February 2015, Accepted 5 February 2015, Available online 12 February 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.02.005