PDPS: A pulmonary data processing system for assessment of gas exchange properties by multiple gas wash-out

Huygen, P. E. M.; Feenstra, B. W. A.; Hoorn, Ewout J.; Jansen, Jos R. C.; Zwart, A.

doi:10.1016/0169-2607(91)90091-7

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…In the first stage (1964-1991), researchers focused on medical data analysis, including the analysis of patients’ physiological data, such as pulmonary data [ 18 ], cerebrum data [ 19 ], and renal data [ 20 ], as well as the analysis of medical images, such as electroencephalogram [ 21 ] and electromyography [ 22 ]. Medical data analysis studies in this period served a primary role in in the field of medicine, such as providing therapy for patients or assisting physicians with disease diagnosis.…”

Section: Discussionmentioning

confidence: 99%

The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis

Han¹,

Han²,

Zhou³

et al. 2022

JMIR Med Inform

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Background Medical informatics has attracted the attention of researchers worldwide. It is necessary to understand the development of its research hot spots as well as directions for future research. Objective The aim of this study is to explore the evolution of medical informatics research topics by analyzing research articles published between 1964 and 2020. Methods A total of 56,466 publications were collected from 27 representative medical informatics journals indexed by the Web of Science Core Collection. We identified the research stages based on the literature growth curve, extracted research topics using the latent Dirichlet allocation model, and analyzed topic evolution patterns by calculating the cosine similarity between topics from the adjacent stages. Results The following three research stages were identified: early birth, early development, and rapid development. Medical informatics has entered the fast development stage, with literature growing exponentially. Research topics in medical informatics can be classified into the following two categories: data-centered studies and people-centered studies. Medical data analysis has been a research hot spot across all 3 stages, and the integration of emerging technologies into data analysis might be a future hot spot. Researchers have focused more on user needs in the last 2 stages. Another potential hot spot might be how to meet user needs and improve the usability of health tools. Conclusions Our study provides a comprehensive understanding of research hot spots in medical informatics, as well as evolution patterns among them, which was helpful for researchers to grasp research trends and design their studies.

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Section: Discussionmentioning

confidence: 99%

The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis

Han¹,

Han²,

Zhou³

et al. 2022

JMIR Med Inform

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“…We determined the end-expiratory volume during CV with the open helium wash-in and wash-out methods [4]. Firstly, ventilation was changed from one piston with ambient air to the other, containing ambient air and 5% He to wash-in.…”

Section: Measurements and Calculated Variablesmentioning

confidence: 99%

Haemodynamic and respiratory conditions during alternating and synchronous ventilation of both lungs

Versprille

Oosterhout

Jansen

1996

Intensive Care Medicine

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“…In our clinic, SF6 gas is used to perform inert gas washout experiments in mechanically ventilated patients to study the end-expiratory lung volume (EELV) and ventilation inhomogeneity (HUYGEN et al, 1991;1993). Previous studies suggest that EELV measurement may be a powerful tool for monitoring the lung function of critically ill, mechanically ventilated patients and may improve the efficacy of therapeutic regimens at the bedside (HEDENSTIERNA, 1993; Correspondence should be addressed to Dr J. K. K. Kanhai; emaih jkkkanhai@hotmail.com MEYERS et al, 1975;NUMA et al, 1997;RIMENSBERGER and BRYAN, 1999;WAUER et al, 1998;BEYDON et al, 1996;EAST et al, 1988;GAUGER et al, 1996).…”

Section: Introductionmentioning

confidence: 99%

Design and validation of an analyser to measure sulphur hexafluoride gas during respiration

Kanhai

Eijskoot

Reinders

et al. 2005

Med. Biol. Eng. Comput.

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The study presents the results of the development of an analyser to measure sulphur hexafluoride (SF6) gas in breathing circuits, for application is studies of lung function. The analyser consists of an in-line breathing circuit measurement transducer and a compact unit for signal treatment. The detector unit of the analyser consists of a near-infrared light source, a bandpass filter and a pyro-electrical detector. When incremental steps of SF6 gas between 0 and 2% were presented to the analyser, the maximum deviation from the theoretical calibration curve was calculated to be 0.01% SF6. The step response of the analyser (10-90%) was 250 ms. The sensitivity of the analyser to ambient temperature was 0.01% SF6 degrees C(-1) in the range between 0 and 2% SF6. It is concluded that the analyser presented is accurate, and has a sufficient response speed to be used in clinical measurement settings. Furthermore, the analyser is resistant to changes in temperature, gas flow, orientation and movement, which are likely to occur in clinical measurement settings.

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PDPS: A pulmonary data processing system for assessment of gas exchange properties by multiple gas wash-out

Cited by 10 publications

References 16 publications

The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis

The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis

Haemodynamic and respiratory conditions during alternating and synchronous ventilation of both lungs

Design and validation of an analyser to measure sulphur hexafluoride gas during respiration

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