换一批Fuzzy-entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease.
第一作者：
Prinza,Lazar
第一单位：
Department of Electronics and Communication Engineering, PJCE, Anna University, Chennai, India.
作者：
关键词
AD EEG signalsAlzheimer disease diagnosisGaussian membership functionclassification ratecomplex wavelet denoising techniquediseaseselectroencephalographic signalselectroencephalographyentropyfuzzy systemsfuzzy-entropy thresholdirregularitieslower root-mean-square errormean square error methodsmedical signal processingmultiresolution analysismultiresolution waveletneural network schemeoptimum thresholdsignal classificationsignal denoisingsignal-to-noise ratiouncertaintywavelet neural netswavelet transforms
DOI
10.1049/htl.2016.0022
PMID
30800318
发布时间
2020-09-29
- 浏览9
Healthcare technology letters
2016年3卷3期
230-238页
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文
