CHF CLASSIFICATION PERFORMANCE ASSESSMENT OF DIFFERENT CLASSIFIERS.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_CHF_CLASSIFICATION_PERFORMANCE_ASSESSMENT_OF_DIFFERENT_CLASSIFIERS_/1071508
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资源简介：
KNN: A k-nearest-neighbor; RT: regression tree; WE: Wavelet entropy, PP: Poincare plot; SHRV: standard HRV measure, including conventional time and frequency measures such SDNN, rMSSD, pNN50%, VLF, LF, HF, VHF, TP, LF/HF, etc; AVNN: average of all RR intervals. Time-domain and non-line features were SDNN, rMSSD, pNN50%, CVrr, ApEn and SampEn; SUM_TD was non-standard time domain feature; SUM_FD was non-standard frequency domain feature.
创建时间：
2015-12-02
