Literature DB >> 2723711

Prototype ventilator and alarm algorithm for the NASA space station.

J X Brunner1, D R Westenskow, P Zelenkov.   

Abstract

An alarm algorithm was developed to monitor the ventilator on the National Aeronautics and Space Administration space station. The algorithm automatically identifies and interprets critical events so that an untrained user can manage the mechanical ventilation of a critically injured crew member. The algorithm was tested in two healthy volunteers by simulating 260 critical events in each volunteer while the volunteer breathed via the ventilator. Thirteen critical events were induced eight times in random order, for the five different modes of ventilation. These events included various ventilator tubing disconnects, leaks, and occlusions, as well as power and gas supply failures. The algorithm identified the critical events and generated alarms in response to 99.2% (516 of 520, total) of the events. The alarm textual messages were correct 98% (505 of 516 messages) of the time. The alarm algorithm is an improvement over current alarms found on most ventilators because its alarm messages specifically identify failures in the patient breathing circuit or ventilator. The system may improve patient care by helping critical care personnel respond more rapidly and correctly to critical events.

Entities:  

Mesh:

Year:  1989        PMID: 2723711     DOI: 10.1007/BF01617881

Source DB:  PubMed          Journal:  J Clin Monit        ISSN: 0748-1977


  8 in total

1.  Survey of alarms in an intensive therapy unit.

Authors:  T M O'Carroll
Journal:  Anaesthesia       Date:  1986-07       Impact factor: 6.955

2.  A servo-controlled ventilator measuring expired minute volume, airway flow and pressure.

Authors:  S Ingelstedt; B Jonson; L Nordström; S G Olsson
Journal:  Acta Anaesthesiol Scand Suppl       Date:  1972

Review 3.  Symposium on anaesthetic equipment. Warning devices.

Authors:  J H Kerr
Journal:  Br J Anaesth       Date:  1985-07       Impact factor: 9.166

4.  Accurate measurement of N2 volumes during N2 washout requires dynamic adjustment of delay time.

Authors:  J X Brunner; G Wolff; G Cumming; H Langenstein
Journal:  J Appl Physiol (1985)       Date:  1985-09

5.  Reliable detection of inspiration and expiration by computer.

Authors:  J Brunner; G Wolff; H Langenstein; G Cumming
Journal:  Int J Clin Monit Comput       Date:  1985

6.  Audible alarm signals for anaesthesia monitoring equipment.

Authors:  L M Stanford; J W McIntyre; J T Hogan
Journal:  Int J Clin Monit Comput       Date:  1985

7.  An analysis of major errors and equipment failures in anesthesia management: considerations for prevention and detection.

Authors:  J B Cooper; R S Newbower; R J Kitz
Journal:  Anesthesiology       Date:  1984-01       Impact factor: 7.892

8.  Clinical studies of gas exchange during ventilatory support--a method using the Siemens-Elema CO2 analyzer.

Authors:  S G Olsson; R Fletcher; B Jonson; L Nordstöm; O Prakash
Journal:  Br J Anaesth       Date:  1980-05       Impact factor: 9.166

  8 in total
  3 in total

1.  Enhanced notification of critical ventilator events.

Authors:  R Scott Evans; Kyle V Johnson; Vrena B Flint; Tupper Kinder; Charles R Lyon; William L Hawley; David K Vawdrey; George E Thomsen
Journal:  J Am Med Inform Assoc       Date:  2005-07-27       Impact factor: 4.497

2.  A breathing circuit alarm system based on neural networks.

Authors:  J A Orr; D R Westenskow
Journal:  J Clin Monit       Date:  1994-03

Review 3.  Integration of monitoring for intelligent alarms in anesthesia: neural networks--can they help?

Authors:  K C Mylrea; J A Orr; D R Westenskow
Journal:  J Clin Monit       Date:  1993-01
  3 in total

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