Pulse Release 4.3
- CDM API Changes
- Blood Chemistry System Data
- Added PlasmaOsmolality and PlasmaOsmolarity
- Respiratory System Data
- Added ExtrinsicPositiveEndExpiratoryPressure
- Changed InspiratoryPulmonaryResistance to InspiratoryRespiratoryResistance
- Changed IntrinsicPositiveEndExpiredPressure to IntrinsicPositiveEndExpiratoryPressure
- Changed ExpiratoryPulmonaryResistance to ExpiratoryRespiratoryResistance
- Changed PulmonaryCompliance to RespiratoryCompliance
- Changed PulmonaryElastance to RespiratoryElastance
- Changed PositiveEndExpiratoryPressure to TotalPositiveEndExpiratoryPressure
- Environmental Conditions Data
- Added MechanicalDeadSpace
- Anesthesia Machine Data
- Changed PositiveEndExpiredPressure to PositiveEndExpiratoryPressure
- Bag Valve Mask Data
- Changed ValvePositiveEndExpiredPressure to ValvePositiveEndExpiratoryPressure
- Mechanical Ventilator Data
- Added PeakInspiratoryFlow
- Added ExtrinsicPositiveEndExpiratoryPressure
- Changed PositiveEndExpiratoryPressure to TotalPositiveEndExpiratoryPressure
- Changed DynamicPulmonaryCompliance to DynamicRespiratoryCompliance
- Changed IntrinsicPositiveEndExpiredPressure to IntrinsicPositiveEndExpiratoryPressure
- Changed StaticPulmonaryCompliance to StaticRespiratoryCompliance
- Mechanical Ventilator Settings Data
- Added ExpiratoryResistance and InspiratoryResistance
- Changed PositiveEndExpiredPressure to PositiveEndExpiratoryPressure
- Mechanical Ventilator Continuous Positive Airway Pressure Data
- Changed PositiveEndExpiredPressure to PositiveEndExpiratoryPressure
- Mechanical Ventilator Pressure Control Data
- Changed PositiveEndExpiredPressure to PositiveEndExpiratoryPressure
- Mechanical Ventilator Volume Control Data
- Changed PositiveEndExpiredPressure to PositiveEndExpiratoryPressure
- Blood Chemistry System Data
- Software Architecture Improvements
- Data Set Generation Tools
- Initial patient set generator
- Can create large patient sets using permutations of starting HR, RR, MAP, Age, Height, BMI, BFF and other patient properties
- Injury set generator
- For each patient in a patient set, will apply and run a permutation of inujuries such as (but not limited to) Hemorrhage, AirwayObstruction, Tension Pneumothorax
- Convience modes provided to generate a set of preprogrammed TCCC injuries
- Initial patient set generator
- Combined DataModelBindings, CommonDataModel and PulseEngine into a single Pulse library
- This single library can be built as a shared/dynamic library or a static (default) library
- Implement system/patient validation framework in Python
- Provides access to more discrete modules in our validation pipeline for more versatile use
- Initial architecture for automated validation
- Currently only AirwayObstruction has been migrated
- Created a xlsx template for automating the our validation of our models (is currently being done by hand)
- The validation pipeline can also create a single doxygen report with a plot file and md files associated with an xlsx
- Added the ability to create vitals monitor and ventilator monitor plots from CSV files
- Created an Advance To Stable Action, this will run the engine until stable criteria is met
- Threaded execution of a group of scenarios now can be provided a single json file containing all scenario to run
- Information for every executed scenario is then updated in the provided file:
- The locations of the: scenario file and its generated log file, and csv file
- Various error states if encountered: Unable to initialize and why, if there were any other errors encountered
- Information for every executed scenario is then updated in the provided file:
- Post processing pipeline
- Written in python, allows us to process a log and csv file generated from a scenario and pull out (and even generate new) data into a more machine learning friendly format
- Unstructure Text Module looks at map of vitals to a string vector and randomly takes strings based on the vitals values to create an unstructured description of the simulation at that time. The strings and bounds are read in from a spreadsheet
- Written in python, allows us to process a log and csv file generated from a scenario and pull out (and even generate new) data into a more machine learning friendly format
- Testing Utils
- Add a run.cmake option to generate a config of all the failures for a quick and easy rebase (once they have been reviewed and approved of course)
- Remove action vertical lines in our verification plots of actions that occur many many times. These actions are usually testing sensor driven inputs and make data interpretation difficult.
- Fixed improperly mapped events
- Data Set Generation Tools
- Physiology Model Improvements
- Updated dyspnea implementation
- Split single severity into a Respiration Rate severity and Tidal Volume severity
- This allows users to define breathing impairments with more precision
- Note any previous scenarios using Dyspnea severity should apply that value to the Tidal Volume severity
- Mechanical Ventilator Model
- Ventilation will immediately stop at limits for more precise targets
- Apneic patients will no long trigger the ventilator when the model trigger is selected
- Update naming conventions and parameter calculations to be match more widely accepted definitions
- Respiratory Model
- Improved handling of lung recruitment based on acinar ventilation for showing the pulmonary shunt changes due to increased ventilator PEEP
- Calibrated respiratory diseases for mechanically ventilated patients, including ARDS and COPD
- Added mechanoreceptor feedback that inhibits the inspiratory drive and reduces the respiratory muscle pressure during an assisted breath
- Modifier Actions (SECardiovascularMechanicsModification, SERespiratoryMechanicsModification)
- We now provide 2 new actions to modify the respiratory and cardiovascular model parameters
- For example, you can provide a multipliers to modify the heart rate, respiration rate, systemic vascular and pulmonary resistances
- This provides the end user more low level control to fine tune the physiology to their specific needs
- The application of drug pharmacodynamics changes to the cardiovascular system now include pulse pressure as well as mean arterial pressure
- Acute stress is more inline with validation data
- Updated body fluid and perspiration methodology
- Added sweat substance loss using a substance compound definition
- Updated the sweat rate methodology to better meet validation
- Calibrated the convective/evaporative heat loss due to sweating
- Fixed a bug for substance tissue diffusion between the vascular and extracellular spaces
- Added new system data outputs for total body fluid volume, plasma osmolality, and plasma osmolarity
- Added a dehydration condition model that directly affects the Tissue, Cardiovascular and Energy systems
- Associated new events: Hypernatremia Hyponatremia, MildDehydration, ModerateDehydration, SevereDehydration
- Added a mechanical dead space parameter to the Environment
- Updated the urinalysis assessment with more appropriate substance thresholds
- Added logic for several missing events: hyperglycemia, hypoglycemia, ketoacidosis, and lactic acidosis
- Updated dyspnea implementation