Automatic detection of breathing disorder from ballistocardiography signals

Author:

Cimr Dalibor,Studnička Filip

Funder

Specific Research Project of Faculty of Informatics and Management, University of HradecKralove

PERSONMED—Center for theDevelopment of Personalized Medicine in Age-Related Diseases

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. Certain molar movements of the human body produced by the circulation of the blood;Gordon;J. Anat. Physiol.,1877

2. Ballistocardiography and seismocardiography: A review of recent advances;Inan;IEEE J. Biomed. Health Inform.,2015

3. Deep learning for healthcare applications based on physiological signals: a review;Faust;Comput. Methods Programs Biomed.,2018

4. Force plate monitoring of human hemodynamics;Kříž;Nonlinear Biomed. Phys.,2008

5. Non-intrusive device for real-time circulatory system assessment with advanced signal processing capabilities;Pinheiro;Meas. Sci. Rev.,2010

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