Clinical evaluation of a high-fidelity wireless intravaginal pressure sensor.

INTRODUCTION AND HYPOTHESIS: A wireless intravaginal pressure sensor (IVPS) has been developed to quantify abdominal pressure (P(abd)) changes during exercise and activities of daily living to guide post-operative advice given to women. In this pilot study, we aimed to compare IVPS performance, comfort, retention, and acceptability to a standard fluid-filled intrarectal pressure catheter currently used to measure P(abd) during routine urodynamics. METHODS: A Life-Tech 3-mm urodynamic intrarectal catheter and IVPS were inserted concurrently in volunteers attending a urodynamics clinic. The IVPS was positioned above the levator plate and the intrarectal catheter positioned in routine fashion well above the anal sphincter. Routine urodynamics was undertaken, with women asked to perform star jumps if coughing or Valsalva did not invoke leakage. Subjects rated device comfort using a visual analogue scale (0-10). Repeated measures Bland-Altman analysis determined level of agreement (LOA) between the two devices for peak pressures for each activity. RESULTS: Twenty-seven women were recruited, 67% of the participants preferred the IVPS, 18% the intrarectal catheter, while 15% had no preference. Mean comfort score was 0.9 ± 1.7 and 2.1 ± 2.6 (p = 0.049) for the IVPS and intrarectal catheter respectively. Bland-Altman analysis demonstrated minimal bias for cough and Valsalva, however LOA were wide. Differences were more prominent during star jumps where rapid dynamic pressure changes occurred. CONCLUSIONS: The IVPS had a higher comfort score and was well retained. The LOA between the two systems was moderate, but the high sampling rate and lower susceptibility to motion artefacts of the IVPS may provide more accurate information that will be important clinically.

An overview of the CellML API and its implementation.

BACKGROUND: CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and for archival in a model repository. Allowing for the exchange and archival of models in a computer readable form is a key strategic goal in bioinformatics, because of the associated improvements in scientific record accuracy, the faster iterative process of scientific development, and the ability to combine models into large integrative models.However, for CellML models to be useful, tools which can process them correctly are needed. Due to some of the more complex features present in CellML models, such as imports, developing code ab initio to correctly process models can be an onerous task. For this reason, there is a clear and pressing need for an application programming interface (API), and a good implementation of that API, upon which tools can base their support for CellML. RESULTS: We developed an API which allows the information in CellML models to be retrieved and/or modified. We also developed a series of optional extension APIs, for tasks such as simplifying the handling of connections between variables, dealing with physical units, validating models, and translating models into different procedural languages.We have also provided a Free/Open Source implementation of this application programming interface, optimised to achieve good performance. CONCLUSIONS: Tools have been developed using the API which are mature enough for widespread use. The API has the potential to accelerate the development of additional tools capable of processing CellML, and ultimately lead to an increased level of sharing of mathematical model descriptions.

Frequency response of implantable blood pressure telemetry systems.

1. Measurement of blood pressure via telemetry in a variety of animal species has become an indispensable part of cardiovascular physiology, drug development and safety pharmacology. 2. These telemetry systems use fluid-filled catheters, which differ from commonly encountered indwelling catheters by virtue of their short length, high durometer, variable inner diameter and the use of a gel interface at the distal tip. 3. Despite the widespread use of blood pressure telemetry, there is little information describing the frequency response of these systems. The frequency response is of importance because it determines how well the waveform dynamics, such as pulse pressure, are captured. 4. For this reason, we measured the frequency responses of commonly used telemeters manufactured by Data Sciences International (St Paul, MN, USA; namely PA-C10, PA-C40 and PA-D70) and Telemetry Research (TR43P). The mean (+/- SEM) -3 dB frequencies measured for the PA-C10, PA-C40, PA-D70 and TR43P telemeters were 57 +/- 2 Hz, 40 +/- 6 Hz, 32 +/- 2 Hz and 173 +/- 3 Hz, respectively. 5. Simulation of the devices' dynamic performance by applying their frequency responses to a high-fidelity recording of arterial pressure demonstrated that the devices have sufficient bandwidth to accurately record arterial waveform dynamics. Experiments were also performed to determine how routine laboratory use and maintenance of the catheter affects the frequency response of the telemeters. Provided no air bubbles were introduced, these showed that the telemeters' frequency responses were robust to the maintenance procedures of tip removal and gel application. 6. The frequency response measurements, combined with simulation results, demonstrate that the systems tested have adequate dynamic performance to record arterial pressure.

The CellML Model Repository.

SUMMARY: The CellML Model Repository provides free access to over 330 biological models. The vast majority of these models are derived from published, peer-reviewed papers. Model curation is an important and ongoing process to ensure the CellML model is able to accurately reproduce the published results. As the CellML community grows, and more people add their models to the repository, model annotation will become increasingly important to facilitate data searches and information retrieval. AVAILABILITY: The CellML Model Repository is publicly accessible at http://www.cellml.org/models.

CellML: its future, present and past.

Advances in biotechnology and experimental techniques have lead to the elucidation of vast amounts of biological data. Mathematical models provide a method of analysing this data; however, there are two issues that need to be addressed: (1) the need for standards for defining cell models so they can, for example, be exchanged across the World Wide Web, and also read into simulation software in a consistent format and (2) eliminating the errors which arise with the current method of model publication. CellML has evolved to meet these needs of the modelling community. CellML is a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. In this paper we summarise the structure of CellML, its current applications (including biological pathway and electrophysiological models), and its future development--in particular, the development of toolsets and the integration of ontologies.