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Fall Prediction in Hypertensive Patients via Short-Term HRV Analysis

  • Published:2017-03 Issue:2 Volume:21 Page:399-406
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Castaldo Rossana,Melillo Paolo,Izzo R.,De Luca N.,Pecchia Leandro

Funder

Italian National Operational Programme for Research and Competitiveness

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Cited by 25 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. A novel dynamic cardiorespiratory coupling quantification method reveals the effect of aging on the autonomic nervous system;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-12-01

2. Fall Risk Detection Using Heart Rate Variability;2023 International Conference on Electrical Engineering and Informatics (ICEEI);2023-10-10

3. A mathematical model based on modified ID3 algorithm for healthcare diagnostics model;International Journal of System Assurance Engineering and Management;2023-08-08

4. Electrocardiogram;Humans and Electricity;2023

5. Understanding the suitability of parametric modeling techniques in detecting the changes in the HRV signals acquired from cannabis consuming and nonconsuming Indian paddy-field workers;Advanced Methods in Biomedical Signal Processing and Analysis;2023
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