This project will integrate the Circadian Performance Simulation Software (CPSS) biomathematical model developed by the Harvard Biomathematical Modeling Unit (Dr. Elizabeth Klerman, Ph.D.) with the Behavioral Health and Performance Dashboard Software tool (BHP-DS) to support scenario modeling of astronaut schedules (inputs related to sleep, duty, and light exposure) to aid in the selection of fatigue within the Behavioral Health and Performance Dashboard (BHP-DS).
Overview
Development of a Software and User Interface to Support Scenario Modeling of Astronaut Schedules to Aid in the Selection of Fatigue Countermeasures within the Behavioral Health and Performance Dashboard (BHP-DS)
Principal Investigator:
Daniel Mollicone, Ph.D.
Organization:
Pulsar Informatics, Inc.
Technical Summary
The BHP-DS was developed to address the need to track a variety of astronaut behavioral health indicators so that behavioral and performance issues can be detected and mitigated at an early stage. It is not intended to be used to automatically establish a diagnosis but instead provide a "dashboard" of behavioral health indicators placed within the context of behavioral health stressors. The target users of the BHP-DS are flight surgeons, Op Psy Personnel, and astronauts. All data used by the tool is encrypted and securely stored and accessible to approved NASA users (e.g. flight surgeons). User access to the BHP-DS is controlled by local user groups on the server and by the existing NASA active directory infrastructure (password protected). The BHP-DS was developed to be modular in design to support the implementation of countermeasures developed by other research groups in the NASA and NSBRI community.
We will develop engineering requirements for a software module and user interface to scenario modeling of astronaut schedules within the BHP-DS. We will conduct interviews with NASA flight surgeons, NSBRI management, NASA stakeholders, and representatives from the Harvard Biomathematical Modeling Unit to elicit user requirements related to the functional capability supported by the CPSS model. Based on these interviews we will develop and engineering requirements document that specifies in technical terms the functionality of the software module. The engineering requirement document will guide the development of high-fidelity renderings to depict how the software module will look and function. We will present software mockups to project stakeholders to receive stakeholder feedback. We will then implement the software within the BHP-DS platform. We will implement the CPSS biomathematical model in the BHP-DS platform. Users will be able to select the CPSS module from a dropdown menu with the BHP-DS to calculate the effects of sleep/wake schedules and light exposure on the human circadian pacemaker, and the combined effects of circadian phase and homeostatic sleep pressure on cognitive performance and subjective alertness. The software will support the comparative analysis of multiple scenarios for a given astronauts (i.e., different sleep, duty, and light schedules). During this project we will also develop a blueprint for delivering features requested by test users (e.g., flight surgeons).
We will develop engineering requirements for a software module and user interface to scenario modeling of astronaut schedules within the BHP-DS. We will conduct interviews with NASA flight surgeons, NSBRI management, NASA stakeholders, and representatives from the Harvard Biomathematical Modeling Unit to elicit user requirements related to the functional capability supported by the CPSS model. Based on these interviews we will develop and engineering requirements document that specifies in technical terms the functionality of the software module. The engineering requirement document will guide the development of high-fidelity renderings to depict how the software module will look and function. We will present software mockups to project stakeholders to receive stakeholder feedback. We will then implement the software within the BHP-DS platform. We will implement the CPSS biomathematical model in the BHP-DS platform. Users will be able to select the CPSS module from a dropdown menu with the BHP-DS to calculate the effects of sleep/wake schedules and light exposure on the human circadian pacemaker, and the combined effects of circadian phase and homeostatic sleep pressure on cognitive performance and subjective alertness. The software will support the comparative analysis of multiple scenarios for a given astronauts (i.e., different sleep, duty, and light schedules). During this project we will also develop a blueprint for delivering features requested by test users (e.g., flight surgeons).
Earth Applications
The BHP-DS provides an efficient interface to track repeated diagnostic measures. There are many disorders that require serial measures such insomnia, diabetes, and heart disease. The BHP-DS provides a tool that enables physicians to track patient status relative to contextual variables that aid in data interpretation.
This project's funding ended in 2014