Literature DB >> 15107139

Computer control of mechanical ventilation.

Robert L Chatburn1.   

Abstract

Computer control of mechanical ventilators includes the operator-ventilator interface and the ventilator-patient interface. New ventilation modes represent the evolution of engineering control schemes. The various ventilation control strategies behind the modes have an underlying organization, and understanding that organization improves the clinician's appreciation of the capabilities of various ventilation modes and gives an idea of what we can and should expect for the future. The operator-ventilator interface has received little attention in the literature, despite the fact that there is a whole science of human-computer interaction. This report suggests a methodology for the study of ventilator interfaces.

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Year:  2004        PMID: 15107139

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  7 in total

Review 1.  Automating the weaning process with advanced closed-loop systems.

Authors:  Karen E A Burns; Francois Lellouche; Martin R Lessard
Journal:  Intensive Care Med       Date:  2008-06-03       Impact factor: 17.440

2.  Healthcare Technology Management (HTM) of mechanical ventilators by clinical engineers.

Authors:  Jun Yoshioka; Masaki Nakane; Kaneyuki Kawamae
Journal:  J Intensive Care       Date:  2014-04-15

3.  Robustness of two different methods of monitoring respiratory system compliance during mechanical ventilation.

Authors:  Gaetano Perchiazzi; Christian Rylander; Mariangela Pellegrini; Anders Larsson; Göran Hedenstierna
Journal:  Med Biol Eng Comput       Date:  2017-02-27       Impact factor: 2.602

4.  Multilayer perceptron neural network model development for mechanical ventilator parameters prediction by real time system learning.

Authors:  Sita Radhakrishnan; Suresh G Nair; Johney Isaac
Journal:  Biomed Signal Process Control       Date:  2021-09-20       Impact factor: 3.880

5.  Technological advancements in the care of the trauma patient.

Authors:  J J Siracuse; N N Saillant; C J Hauser
Journal:  Eur J Trauma Emerg Surg       Date:  2011-11-09       Impact factor: 3.693

6.  Pressure dynamic characteristics of pressure controlled ventilation system of a lung simulator.

Authors:  Yan Shi; Shuai Ren; Maolin Cai; Weiqing Xu; Qiyou Deng
Journal:  Comput Math Methods Med       Date:  2014-08-13       Impact factor: 2.238

7.  Dynamic Characteristics of Mechanical Ventilation System of Double Lungs with Bi-Level Positive Airway Pressure Model.

Authors:  Dongkai Shen; Qian Zhang; Yan Shi
Journal:  Comput Math Methods Med       Date:  2016-08-29       Impact factor: 2.238

  7 in total

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