Kalman filtering to reduce measurement noise of sample entropy: An electroencephalographic study

• Nan Zhang ,

  Contributed equally to this work with: Nan Zhang, Yawen Zhai

  Roles Investigation, Writing – original draft, Writing – review & editing

  Affiliations School of Biomedical Engineering, Air Force Medical University, Xi’an, China, Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China

  ⨯
• Yawen Zhai ,

  Contributed equally to this work with: Nan Zhang, Yawen Zhai

  Roles Investigation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation School of Biomedical Engineering, Air Force Medical University, Xi’an, China

  ⨯
• Yan Li,

  Roles Investigation, Writing – original draft, Writing – review & editing

  Affiliations School of Biomedical Engineering, Air Force Medical University, Xi’an, China, Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China

  ⨯
• Jiayu Zhou,

  Roles Validation

  Affiliation School of Biomedical Engineering, Air Force Medical University, Xi’an, China

  ⨯
• Mingming Zhai,

  Roles Methodology

  Affiliation School of Biomedical Engineering, Air Force Medical University, Xi’an, China

  https://orcid.org/0000-0001-9793-2231

  ⨯
• Chi Tang ,

  Roles Project administration, Supervision

  * E-mail: xiekangning@fmmu.edu.cn (KX); tangchi@fmmu.edu.cn (CT)

  Affiliations School of Biomedical Engineering, Air Force Medical University, Xi’an, China, Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China

  ⨯
• Kangning Xie

  Roles Conceptualization, Supervision, Writing – review & editing

  * E-mail: xiekangning@fmmu.edu.cn (KX); tangchi@fmmu.edu.cn (CT)

  Affiliations School of Biomedical Engineering, Air Force Medical University, Xi’an, China, Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China

  https://orcid.org/0000-0002-6031-8489

  ⨯