This branch is now depricated and is hosting legacy code. The new BioGears code base can be found at /BioGearsEngine/core (https://github.com/BioGearsEngine/core)
BioGears® source code is hosted here and will be developed through this public repository to encourage community facing development. In addition we also support official stable releases. Our latest deployment (found under releases) is still in a beta phase, and is intended to be an intermediate release to showcase the capabilities of the BioGears® Physiology Engine. The current version of the software includes examples of all types of engine interfaces, but does not include all of the functionality or physiologic systems that will be present in the final product. This version of the software is meant to elicit feedback and enhance community involvement in establishing end product expectations.
BioGears® is a C++ based, open source, multi-platform (Windows, Mac, and Linux), comprehensive human physiology engine that will drive medical education, research, and training technologies. BioGears enables accurate and consistent physiology simulation across the medical community. The engine can be used as a standalone application or integrated with simulators, sensor interfaces, and models of all fidelities.
- Create a publicly available physiology research platform that enables accurate and consistent simulated physiology across training applications
- Lower the barrier to create medical training content
- Engage the community to develop and extend physiology models
- Meet the training needs of the military
- Expand the body of knowledge regarding the use of simulated physiology for medical education
Biogears® engine relies on the following dependancies:
- Cmake 3.0 or greater
- Apache Ant
- JDK 1.7 or greater
Please make sure that all dependancies are installed and linked properly to your PATH before building.
Open a command window, navigate to the \src folder in the BioGears project and type
ant cmake
This will build the visual studio solution file in the \src\cmake, titled Biogears.sln. Open this file in visual studio then build to compile the code. All builds copy their compiled targets to /bin/release or /bin/debug depending on MSVC build configuration. Execution and debugging working directories should be set to the bin directory. If you don't wish to use visual studio as your build tool, be sure to have the microsoft compilers on your computer and in the \src folder type
ant compile
This will create the neccessary .dll files and a scenario executor file to run BioGears through the command line.
When submitting a rather large pull request (these generally include major model changes) we ask that you update the appropriate methodology file so that we can properly review and document your changes. Go into the /Methodology folder and open the appropriate file to include your model updates.
Download and install Xcode from the app store. After the installation finishes, install the Xcode command line tools by running the
terminal command xcode-select --install.
Make sure the following tools are installed:
- ant
- CMake
- Java JDK 8
An easy way to install ant and CMake is with Homebrew. First install homebrew by running the command
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)". Next install ant and CMake by running the commands
brew install ant and brew install cmake.
Navigate in a terminal window to the xerces-3.1.2 directory in the BioGears lib directory. Build Xerces by running
./configure --disable-threads --disable-network --enable-transcoder-macosunicodeconverter --disable-pretty-make CXXFLAGS=-O3 CFLAGS=-O3 and then make.
After Xerces builds successfully, we have to set the dylib's install path. Navigate to the xerces-c-3.1.2/src/.libs directory, and run the command
install_name_tool -id @rpath/libxerces-c-3.1.dylib libxerces-c-3.1.dylib. This sets the install path of the dylib to @rpath so that the BioGears executable
will search the current directory when attempting to load it. Run the command otool -D libxerces-c-3.1.dylib to make sure the install path has been
set correctly, this should output @rpath/libxerces-c-3.1.dylib.
Navigate in a terminal window to the BioGears src directory and run ant cmake -Denv=xcode. This will generate debug and release Xcode project files in
src/cmake/xcode.
Open the BioGears.xcodeproj file in Xcode. Select Product > Scheme > Edit Scheme and select Run on the left column. Set the following configuration options:
- Set the executable to BioGearsScenarioDriver if it isn't already.
- Set the build configuration to Debug or Release depending on the desired mode.
- On the arguments tab, add an entry to "Arguments Passed On Launch" which specifies a path to a scenario to run (e.g. ../verification/Scenarios/Basic/Basic1.xml).
- On the options tab, check "Use custom working directory" and set it to the BioGears bin folder.
Close the dialog and click the Run button to build and launch the BioGears scenario driver.
Navigate in a terminal window to the BioGears src directory and run ant cmake -Denv=xcode. This will generate debug and release Xcode project files in
src/cmake/xcode.
To build BioGears from the command line, open the generated xcodeproj file in Xcode. Opening the project in Xcode will force the project schemes to generate,
these are necessary for command line builds. After Xcode loads the project it can be closed. Run the command ant compile -Denv=xcode in BioGears's
src directory to build.
After BioGears is built, navigate to the bin directory and launch the scenario driver from there, specifying the scenario you want to run as the first parameter
(e.g. ./Release/BioGearsScenarioDriver ../verification/Scenarios/Patient/BasicStandard.xml).
Make sure the following tools are installed:
- ant
- CMake
- Java JDK 8
- GCC
To begin, get these tools through the linux package manager of your choice (apt, yum ect...). This build was tested on Ubuntu 16.04 with tools installed via apt-get. Build supports open JDK or oracle JDK. Linking should be automatically done through the package manager.
Add a JAVA_HOME variable to point to the Java installation and add it to the system PATH (if it was not sufficiently linked through the package manager, you can double check this with a quick $ java -version). This can be done by adding the following lines to ~/.profile (again this will depend on where you java installation is on your machine, this is an example of the location when installed via apt-get on Ubuntu):
JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-amd64
PATH=$PATH:$JAVA_HOME_bin
Replace the JAVA_HOME value with the correct installation directory.
Navigate in a terminal window to the xerces-3.1.2 directory in the BioGears lib directory. Allow privileges on the configuration file with $ chmod +x configure. Build Xerces by running ./configure --disable-threads --disable-network --enable-transcoder-gnuiconv --disable-pretty-make CXXFLAGS=-O3 CFLAGS=-O3 and then make.
Next navigate to bin directory in xsd: $ /lib/xsd-4.0.0-x86_64-linux-gnu/bin/ then enter $ chmod +x xsd
Navigate in a terminal window to the BioGears src directory and run ant cmake -Denv=unixMake . To compile the code just type ant compile -Denv=unixMake.
Once the compile step has successfully completed, from the src folder, test the build by running the basic standard patient by typing: ant runDebug. Once the scenario has executed, check the simulation output by navigating to /bin/Scenarios/Patient/BasicStandardResults. This folder should contain plots of all requested data outputs.
Note: This build has not been thoroughly tested.
This build is very similar to the GCC Linux build, the only difference being that the code is compiled with a version of GCC that produces ARM-compatible objects.
Install gcc-arm-linux-gnueabihf and g++-arm-linux-gnueabihf (e.g. using sudo apt-get install gcc-arm-linux-gnueabihf etc.). In addition to this, make sure gcc 4.9 is installed.
Build Xerces by running
./configure --disable-threads --disable-network --enable-transcoder-gnuiconv --disable-pretty-make CC=/usr/bin/arm-linux-gnueabihf-gcc CXX=/usr/bin/arm-linux-gnueabihf-g++ CXXFLAGS=-O3 CFLAGS=-O3 --host arm-linux and then make.
Navigate in a terminal window to the BioGears src directory and run ant cmake -Denv=raspberryPi and then ant compile -Denv=raspberryPi.
BioGears can be deployed as an executable or as a library to be used in other applications. Each of the deployment processes below assumes the code has already been built with ant compile -Denv=your_environment.
Deploy the Mac executable by running deploy-unix-executable.sh in the BioGears src directory. This will deploy the necessary files to the BioGears deploy/toolkit directory. To launch the GUI from that directory, run BioGearsGUI.sh.
Deploy the Mac SDK by running deploy-osx-library.sh in the BioGears src directory. This will deploy the necessary header files and .dylib files to the BioGears library directory. The HowTo cpp files provide examples of how to use the BioGears API from your own software. The build-osx.sh script will build all of the HowTo files and place the resulting executable in the library/bin directory.
Deploy the Linux executable by running deploy-unix-executable.sh in the BioGears src directory. This will deploy the necessary files to the BioGears deploy/toolkit directory. To launch the GUI from that directory, run BioGearsGUI.sh.
Deploy the Linux SDK by running deploy-linux-library.sh in the BioGears src directory. This will deploy the necessary header files and .so files to the BioGears library directory. The HowTo cpp files provide examples of how to use the BioGears API from your own software. The build-linux.sh script will build all of the HowTo files and place the resulting executable in the library/bin directory.
The BioGears source is structured as follows:
- bin - Contains all data and configuration files needed for execution of the BioGears Engine
- data - Contains the Microsoft Excel spreadsheets for all BioGears data sets
- lib - Contains third party libraries used by this project (see Credits for more details)
- src
- cdm - Code associated with the CDM and physeng
- cmake - The directory where cmake will create build files
- engine - Code associated with the lumped parameter models
- controller - These classes hold data necessary by the model, control the advancement of time
- scenario - These classes help execute a BioGears specific scenario (i.e. a scenario with a BioGearsConfiguration object)
- BioGearsScenario - BioGearsScenario
- BioGearsScenarioExec - BioGearsScenarioExec
- BioGearsScenarioInitialParameters - BioGearsScenarioInitialParameters
- BioGears - BioGears
- BioGearsCircuits - BioGearsCircuits
- BioGearsCompartments - BioGearsCompartments
- BioGearsConfiguration - BioGearsConfiguration
- BioGearsEngine - BioGearsEngine
- BioGearsSubstances - BioGearsSubstances
- BioGearsSystem - BioGearsSystem
- scenario - These classes help execute a BioGears specific scenario (i.e. a scenario with a BioGearsConfiguration object)
- systems - These classes implement the methodology for modeling and simulating
- BloodChemistry - BloodChemistry
- Cardiovascular - Cardiovascular
- Drugs - Drugs
- Endocrine - Endocrine
- Energy - Energy
- Environment - Environment
- Gastrointestinal - Gastrointestinal
- Nervous - Nervous
- Renal - Renal
- Respiratory - Respiratory
- SaturationCalculator - SaturationCalculator
- Tissue - Tissue
- equipment
- AnesthesiaMachine - AnesthesiaMachineData
- ECG - ElectrocardiogramData
- Inhaler - InhalerData
- schema - The xsd data definitions used by the CDM
- sdk - Example code and scripts for the Toolkit and SDK
- utils - Various utilities used in validation
The latest deployment includes the following notable updates:
- General bug fixes, system improvements, and tools/solver improvements
- Fasciculation patient event flags
- Updated sweat methodology (fixes to ions lost in sweat)
- Updated substance and compound infusion functionality
- Added Ringers lactate and updated
- Saline compound ion concentrations corrected
- Hardened implementation
- MuscleMass new patient data request
- Muscle catabolism patient flag
- Added dehydration condition
- Implemented as scalar 0to1 representing fractional total body water lost
- Fluid removed from patient compartments
- Updated patient flag for event and track body weight change (validated)
- Added totalbodyfluidVolume as data request
- Updated patient weight as a function of condition
- Added starvation condition
- TimeSinceMeal determines how long since the patient's last meal
- Scales internal nutrient storages from validated starvation data
- Removed ConsumeMeal condition, now replaced by starvation condition
- Validated blood concentrations for ketones, glucose, and amino acids
- Updated patient weight as a function of condition
- Intracellular ion transport
- Model uses membrane potential (see @ref TissueMethodology for details)
- Michaelis coefficient could support more ion regulation in the future
- Gated ion transport allows for differences between intra/extracellular spaces
- COPD now supports elevated anaerobic metabolism
- Ion transport model in the small intestine
- Updated drug library so all drugs support an effects site transport rate
- Diabetes type 1 and type 2 conditions
- insulin resistance and insulin production effects
- Hemorrhage action now initialized with a 0-1 severity and a location (MCIS SDK example still exists)
- New drug Vasopressin
- New drug classifications in the CDM for better grouping in-code
- Include anesthetic, sedative, opioid, and reversal agent
- More grouping in future work
Planned model updates March 12, 2017:
- Thermal regulatory updates
- Better patient weight handling
- More drug support
- Patient burn model
BioGears is being developed under the TATRC funded project: W81XWH-13-2-0068.
Disclaimer:
This work is supported by the US Army Medical Research and Materiel Command. The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy, or decision unless so designated by other documentation. BioGears is released under the Apache 2.0 liscense.
BioGears has Publications papers and abstracts on several systems and clinical scenarios.
We support the contributor covenant and the scope and enforcement it details. We reserve the right of enforcement that we feel is appropriate given the nature of the offense up to and including a permanent ban from the project.
Details will be filled in shortly. In the meantime if you have a contribution or issue to post/push feel free to contact [email protected] with the details.
For more detailed documentation including model discussions and implementation details can be found at www.BioGearsEngine.com