The AcuWave Project is a software suite being developed by the Applied Physiology Group of the University Bonn. The goal of project is to decouple signal processing and visualisation in the field of Medical Monitoring Data. For this purpose, a versatile software package using a Client-Server Concept based on RESTful HTTPS Protocol was implemented. The three main components are the WaveDatabase(WaveDB), the WaveServer and the WaveClient. WaveDB uses a MySQL/MariaDB vendor-neutral database which allows the inclusion of data from various datasources of high resolution time series data. The WaveServer uses a modular execution concept for all data handling and processing. The modules are strung together in complex chains. This allows for plug & play as well as providing a common interface for several repetitive tasks in data processing. The WaveClient is the GUI complementing this setup. It uses a modern html5 browser-based application which can be operated using a standard desktop setup or touch-enabled devices. Additionally, the WaveClient is further optimisied for visualisation of large datasets by using smart caching and preprocessing.
The following links provide usage examples of the AcuWave Software. The demo system requires a login which can be obtained from Sven Zenker,the Project Lead. Please see the About page for more information. For a quick introduction, please see the manual section.
The AcuWave Demo System uses the publicly available Mimic2 Dataset 1 as well as the MGH/MF Dataset 2 from PhysioNet 3 . Additionally, the PhysioNet Toolbox 4 is used to demonstrate the potential of interfacing existing software with AcuWave. The direct links below show selected functionality as a starting point for your exploration of AcuWave. The user is not limited to these views and can easily switch the modules or dataset. These types of deep links may be used for seamless and context sensitive PDMS integration.
Direct links to selected data views:
- M. Saeed, M. Villarroel, A.T. Reisner, G. Clifford, L. Lehman, G.B. Moody, T. Heldt, T.H. Kyaw, B.E. Moody, R.G. Mark. Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A public-access ICU database. Critical Care Medicine 39(5):952-960 (2011 May); doi: 10.1097/CCM.0b013e31820a92c6.
- Welch JP, Ford PJ, Teplick RS, Rubsamen RM. The Massachusetts General Hospital-Marquette Foundation Hemodynamic and Electrocardiographic Database -- Comprehensive collection of critical care waveforms. J Clinical Monitoring 7(1):96-97 (1991).
- Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 Circulation Electronic Pages;
- Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215.full 2000 (June 13).
At the current stage only a quick guide is available in German as pdf. A English version will follow shortly. Although the GUI is designed to be as intuiative as possible, do not hesitate to contact us
if you experience any issues. Contact Information is available on the About
This is the software project page for the AcuWave Project of the AMP Lab, University Bonn. For general questions or to gain access to the demo system, please contact Sven Zenker. For technical issues
and questions, please contact Henning Begerau.
Head of Project: PD. Dr. med Sven Zenker ( zenker 'at' uni-bonn.de)
Lead Developer: Henning Begerau, Dipl. Inform und Arzt ( Henning.Begerau 'at' ukbonn.de)