Literature DB >> 2312146

Identification of dynamic mechanical parameters of the human chest during manual cardiopulmonary resuscitation.

I N Bankman1, K G Gruben, H R Halperin, A S Popel, A D Guerci, J E Tsitlik.   

Abstract

Survival from cardiac arrest is dependent on timely cardiopulmonary resuscitation (CPR). Since CPR is often unsuccessful, the outcome may be improved by a better understanding of the relationship between force applied to the sternum and the resulting hemodynamic effects. The first step in this complex chain of interactions is the mechanical response of the chest wall to cyclical compression. We formulated a dynamic mechanical model of the chest response and developed a method of identification of the model parameters based on force, displacement, and acceleration data acquired during cyclical compressions. The elasticity, damping, and equivalent mass of the human chest were estimated with a constrained nonlinear least-mean-square identification technique. The method was validated on data acquired from a test apparatus built for this purpose. The model fit was measured with the normalized chi-square statistic on residuals obtained between recorded force and force predicted by the model. In the analysis of one human chest, the elasticity was found to be nonlinear and statistically different during compression and release. A considerable amount of damping was found, with no significant difference between compression and release. The equivalent mass was too small to be determined accurately. This method can be used to obtain the dynamic mechanical parameters of the human chest and may lead to a better understanding of CPR.

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Year:  1990        PMID: 2312146     DOI: 10.1109/10.46262

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  A Novel Nonlinear Mathematical Model of Thoracic Wall Mechanics During Cardiopulmonary Resuscitation Based on a Porcine Model of Cardiac Arrest.

Authors:  Ali Jalali; Allan F Simpao; Vinay M Nadkarni; Robert A Berg; C Nataraj
Journal:  J Med Syst       Date:  2016-12-17       Impact factor: 4.460

2.  Incorporation of CPR Data into ATD Chest Impact Response Requirements.

Authors:  Matthew R Maltese; Kristy B Arbogast; Vinay Nadkarni; Robert Berg; Sriram Balasubramanian; Thomas Seacrist; Richard W Kent; Daniel P Parent; Matthew Craig; Stephen A Ridella
Journal:  Ann Adv Automot Med       Date:  2010

3.  Workspace Analysis and Optimization of 3-PUU Parallel Mechanism in Medicine Base on Genetic Algorithm.

Authors:  Yongchao Hou; Yang Zhao
Journal:  Open Biomed Eng J       Date:  2015-08-31

4.  An innovative design for cardiopulmonary resuscitation manikins based on a human-like thorax and embedded flow sensors.

Authors:  Mark Thielen; Rohan Joshi; Frank Delbressine; Sidarto Bambang Oetomo; Loe Feijs
Journal:  Proc Inst Mech Eng H       Date:  2017-02-13       Impact factor: 1.617

5.  Potential wrist ligament injury in rescuers performing cardiopulmonary resuscitation.

Authors:  Robert Curran; Sasha Sorr; Eva Aquino
Journal:  J Emerg Trauma Shock       Date:  2013-04

6.  A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.

Authors:  Digna M González-Otero; Jesus Ruiz; Sofía Ruiz de Gauna; Unai Irusta; Unai Ayala; Erik Alonso
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

7.  Corpuls CPR Generates Higher Mean Arterial Pressure Than LUCAS II in a Pig Model of Cardiac Arrest.

Authors:  S Eichhorn; A Mendoza; A Prinzing; A Stroh; L Xinghai; M Polski; M Heller; H Lahm; E Wolf; R Lange; M Krane
Journal:  Biomed Res Int       Date:  2017-12-17       Impact factor: 3.411

  7 in total

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