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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 28 1 Entropy Analysis of Heart Rate Variability in Different Sleep Stages Yan, Chang; Li, Peng; Yang, Meicheng; Li, Yang; Li, Jianqing; Zhang, Hongxing; Liu, Chengyu In: Entropy (Basel) (2022) Abstract: How the complexity or irregularity of heart rate variability (HRV) changes across different sleep stages and the importance of these features in sleep staging are not fully understood. This study aimed to investigate the complexity or irregularity of the RR interval time series in different sleep stages and explore their values in sleep staging. We performed approximate entropy (ApEn), sample entropy (SampEn), fuzzy entropy (FuzzyEn), distribution entropy (DistEn), conditional entropy (CE), and permutation entropy (PermEn) analyses on RR interval time series extracted from epochs that were constructed based on two methods: (1) 270-s epoch length and (2) 300-s epoch length. To test whether adding the entropy measures can improve the accuracy of sleep staging using linear HRV indices, XGBoost was used to examine the abilities to differentiate among: (i) 5 classes [Wake (W), non-rapid-eye-movement (NREM), which can be divide into 3 sub-stages: stage N1, stage N2, and stage N3, and rapid-eye-movement (REM)]; (ii) 4 classes [W, light sleep (combined N1 and N2), deep sleep (N3), and REM]; and (iii) 3 classes: (W, NREM, and REM). SampEn, FuzzyEn, and CE significantly increased from W to N3 and decreased in REM. DistEn increased from W to N1, decreased in N2, and further decreased in N3; it increased in REM. The average accuracy of the three tasks using linear and entropy features were 42.1%, 59.1%, and 60.8%, respectively, based on 270-s epoch length; all were significantly lower than the performance based on 300-s epoch length (i.e., 54.3%, 63.1%, and 67.5%, respectively). Adding entropy measures to the XGBoost model of linear parameters did not significantly improve the classification performance. However, entropy measures, especially PermEn, DistEn, and FuzzyEn, demonstrated greater importance than most of the linear parameters in the XGBoost model.300-s270-s. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947316/ https://doi.org/10.3390/e24030379 BASE Hide details 2 MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ... Zhang, Zhengyan; Lin, Yankai; Liu, Zhiyuan. - : arXiv, 2021 BASE Show details 3 CLEVE: Contrastive Pre-training for Event Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Han, Xu; Hou, Lei. - : Underline Science Inc., 2021 BASE Show details 4 Rethinking Stealthiness of Backdoor Attack against NLP Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Li, Peng; Lin, Yankai. - : Underline Science Inc., 2021 BASE Show details 5 RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Peng; Lin, Yankai. - : Underline Science Inc., 2021 BASE Show details 6 Serial magnetic resonance imaging changes of pseudotumor lesions in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations: a case report Yan, Yuying; Jiang, Shuai; Wang, Ruilin... In: BMC Neurol (2021) BASE Show details 7 Ecoacoustics and multispecies semiosis: naming, semantics, semiotic characteristics, and competencies Farina, Almo; Eldridge, Alice; Li, Peng. - : Springer, 2021 BASE Show details 8 Hand gestures facilitate novel segment learning (Xi et al., 2020) ... Xiaotong Xi; Li, Peng; Baills, Florence. - : ASHA journals, 2020 BASE Show details 9 Hand gestures facilitate novel segment learning (Xi et al., 2020) ... Xiaotong Xi; Li, Peng; Baills, Florence. - : ASHA journals, 2020 BASE Show details 10 Evaluation of poverty-stricken families in rural areas using a novel casebased reasoning method for probabilistic linguistic term sets Li, Peng; Liu, Ju; Yang, Yingjie. - : Elsevier, 2020 BASE Show details 11 Laryngeal Diffuse Large B-Cell Lymphoma Presenting as Laryngeal Stenosis TANG, YAOYUN; LI, PENG; CUA, DAVID. - : International Institute of Anticancer Research, 2020 BASE Show details 12 Bivariate Entropy Analysis of Electrocardiographic RR–QT Time Series Shi, Bo; Motin, Mohammod Abdul; Wang, Xinpei... In: Entropy (Basel) (2020) BASE Show details 13 Differences in Working Memory With Emotional Distraction Between Proficient and Non-proficient Bilinguals Ma, Xie; Ma, Xiao; Li, Peng... In: Front Psychol (2020) BASE Show details 14 Quantifying and Correlating Rhythm Formants in Speech ... Gibbon, Dafydd; Li, Peng. - : arXiv, 2019 BASE Show details 15 Relation Between Working Memory Capacity of Biological Movements and Fluid Intelligence Ye, Tian; Li, Peng; Zhang, Qiong. - : Frontiers Media S.A., 2019 BASE Show details 16 User social activity-based routing for cognitive radio networks [<Journal>] Lu, Junling [Verfasser]; Cai, Zhipeng [Sonstige]; Wang, Xiaoming [Sonstige]. DNB Subject Category Language Show details 17 Detection of epileptic seizure based on entropy analysis of short-term EEG Li, Peng; Karmakar, Chandan; Yearwood, John. - : Public Library of Science, 2018 BASE Show details 18 Detection of epileptic seizure based on entropy analysis of short-term EEG Li, Peng; Karmakar, Chandan; Yearwood, John. - : Public Library of Science, 2018 BASE Show details 19 A general frame for intuitionistic fuzzy rough sets Zhang, Xiaohong; Zhou, Bing; Li, Peng In: Information sciences. - New York, NY : Elsevier Science Inc. 216 (2012), 34-49 OLC Linguistik Show details 20 The Fable of Recognition: A Study of Northrop Frye as a Prophet Li, Peng In: English Language Teaching; Vol 4, No 3 (2011); p54 (2011) BASE Show details Page: 1 2

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