Literature DB >> 17281820

PhysioTrace: An efficient toolkit for biomedical signal processing.

J De Jonckheere1, R Logier, A Dassonneville, G Delmar, C Vasseur.   

Abstract

Healthcare monitoring applications requires the measurement and the analysis of multiple physiological data. In the field of biomedical research, these data are issued from different devices involving data centralization and synchronization difficulties. On the other hand, the analysis of the acquired data requires high level digital signal processing tools. In this paper we describe a real time toolkit for biomedical data acquisition, centralization, processing and visualization. This toolkit, composed of both hardware and software modules, allows users to model, test and perform all kind of digital signal processing algorithms for all kind of biomedical signals. These highly efficient hardware and software modules have been developed and tested especially for biomedical studies and used in a large number of clinical investigations. So, for developers, using such a toolkit will reduce the development time while increasing the application performances.

Year:  2005        PMID: 17281820     DOI: 10.1109/IEMBS.2005.1616051

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  Impact of polyurethane on variations in tracheal cuff pressure in critically ill patients: a prospective observational study.

Authors:  Saad Nseir; Farid Zerimech; Julien De Jonckheere; Isabelle Alves; Malika Balduyck; Alain Durocher
Journal:  Intensive Care Med       Date:  2010-04-16       Impact factor: 17.440

2.  Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach.

Authors:  Hariprasath Manoharan; Shitharth Selvarajan; Ayman Yafoz; Hassan A Alterazi; Mueen Uddin; Chin-Ling Chen; Chih-Ming Wu
Journal:  Front Public Health       Date:  2022-05-23

3.  Efficiency of a mechanical device in controlling tracheal cuff pressure in intubated critically ill patients: a randomized controlled study.

Authors:  Saad Nseir; Andrey Rodriguez; Paula Saludes; Julien De Jonckheere; Jordi Valles; Antonio Artigas; Ignacio Martin-Loeches
Journal:  Ann Intensive Care       Date:  2015-06-02       Impact factor: 6.925

4.  Efficiency of an electronic device in controlling tracheal cuff pressure in critically ill patients: a randomized controlled crossover study.

Authors:  Anahita Rouzé; Julien De Jonckheere; Farid Zerimech; Julien Labreuche; Erika Parmentier-Decrucq; Benoit Voisin; Emmanuelle Jaillette; Patrice Maboudou; Malika Balduyck; Saad Nseir
Journal:  Ann Intensive Care       Date:  2016-10-04       Impact factor: 6.925

5.  Correlation of a new index reflecting the fluctuation of parasympathetic tone and fetal acidosis in an experimental study in a sheep model.

Authors:  C Garabedian; Y Clermont-Hama; D Sharma; E Aubry; L Butruille; P Deruelle; L Storme; J De Jonckheere; V Houfflin-Debarge
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

6.  A new analysis of heart rate variability in the assessment of fetal parasympathetic activity: An experimental study in a fetal sheep model.

Authors:  C Garabedian; C Champion; E Servan-Schreiber; L Butruille; E Aubry; D Sharma; R Logier; P Deruelle; L Storme; V Houfflin-Debarge; J De Jonckheere
Journal:  PLoS One       Date:  2017-07-10       Impact factor: 3.240

7.  Heart rate markers for prediction of fetal acidosis in an experimental study on fetal sheep.

Authors:  Louise Ghesquière; C Ternynck; D Sharma; Y Hamoud; R Vanspranghels; L Storme; V Houfflin-Debarge; J De Jonckheere; C Garabedian
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

8.  Evaluation of pressure in water-filled endotracheal tube cuffs in intubated patients undergoing hyperbaric oxygen treatment.

Authors:  Younès Benzidi; Thibault Duburcq; Daniel Mathieu; Erika Parmentier-Decrucq
Journal:  Diving Hyperb Med       Date:  2020-09-30       Impact factor: 0.887

9.  Continuous control of endotracheal cuff pressure and tracheal wall damage: a randomized controlled animal study.

Authors:  Saad Nseir; Alexandre Duguet; Marie-Christine Copin; Julien De Jonckheere; Mao Zhang; Thomas Similowski; Charles-Hugo Marquette
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

  9 in total

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