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Physiological Association between Limb Ballistocardiogram and Arterial Blood Pressure Waveforms: A Mathematical Model-Based Analysis.
Yousefian, Peyman; Shin, Sungtae; Mousavi, Azin Sadat; Kim, Chang-Sei; Finegan, Barry; McMurtry, M Sean; Mukkamala, Ramakrishna; Jang, Dae-Geun; Kwon, Uikun; Kim, Youn Ho; Hahn, Jin-Oh.
Afiliação
  • Yousefian P; Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.
  • Shin S; Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.
  • Mousavi AS; Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.
  • Kim CS; School of Mechanical Engineering, Chonnam National University, Gwangju, Korea.
  • Finegan B; Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, AB, Canada.
  • McMurtry MS; Department of Medicine, University of Alberta, Edmonton, AB, Canada.
  • Mukkamala R; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA.
  • Jang DG; Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
  • Kwon U; Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
  • Kim YH; Device & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
  • Hahn JO; Department of Mechanical Engineering, University of Maryland, College Park, MD, USA. jhahn12@umd.edu.
Sci Rep ; 9(1): 5146, 2019 03 26.
Article em En | MEDLINE | ID: mdl-30914687
ABSTRACT
By virtue of its direct association with the cardiovascular (CV) functions and compatibility to unobtrusive measurement during daily activities, the limb ballistocardiogram (BCG) is receiving an increasing interest as a viable means for ultra-convenient CV health and disease monitoring. However, limited insights on its physical implications have hampered disciplined interpretation of the BCG and systematic development of the BCG-based approaches for CV health monitoring. In this study, a mathematical model that can predict the limb BCG in responses to the arterial blood pressure (BP) waves in the aorta was developed and experimentally validated. The validated mathematical model suggests that (i) the limb BCG waveform reveals the timings and amplitudes associated with the aortic BP waves; (ii) mechanical filtering exerted by the musculoskeletal properties of the body can obscure the manifestation of the arterial BP waves in the limb BCG; and (iii) the limb BCG exhibits meaningful morphological changes in response to the alterations in the CV risk predictors. The physical insights garnered by the analysis of the mathematical model may open up new opportunities toward next generation of the BCG-based CV healthcare techniques embedded with transparency, interpretability, and robustness against the external variability.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Balistocardiografia / Processamento de Sinais Assistido por Computador / Artéria Femoral / Pressão Arterial / Modelos Cardiovasculares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Balistocardiografia / Processamento de Sinais Assistido por Computador / Artéria Femoral / Pressão Arterial / Modelos Cardiovasculares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos