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An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis

  • Published:2021-12 Issue:12 Volume:29 Page:3873-3886
  • ISSN:1063-6706
  • Container-title:IEEE Transactions on Fuzzy Systems
  • language:
  • Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Kumar MohitORCID,Zhang WeipingORCID,Weippert MatthiasORCID,Freudenthaler Bernhard

Funder

EU Horizon

Securing Medical Data in Smart Patient-Centric Healthcare Systems

Austrian Ministry for Transport

Innovation and Technology

Bundesministerium für Digitalisierung und Wirtschaftsstandort

Province of Upper Austria in the frame of the COMET center SCCH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variational Bayesian deep fuzzy models for interpretable classification;Engineering Applications of Artificial Intelligence;2024-06

2. Comparative Analysis of Datamining Algorithms for Heartbeat Level Prediction;2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2023-11-19

3. Investigation on reachable domain of contingency return trajectories in the circumlunar flight phase based on interval analysis;Advances in Space Research;2023-11

4. Lightweight Time-Domain HRV Index Extraction from Compressive ECG Measurements for Resource Constrained Edge Health Computing Devices;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17

5. State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence;Cognitive Computation;2023-10-12
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