Medical Systems
AUTONOMOUS MEDICAL SYSTEM (AMS)
In 2013, Neptec led a research team in a concept definition contract for the Canadian Space Agency to define the Advanced Crew Medical System(ACMS). Neptec’s solution – the Autonomous Medical System (AMS) integrates multiple technologies into a computerised system which processes biometric measurements and medical observations in order to formulate a diagnosis and prescribe treatment. Neptec has combined its novel knowledge storage and processing architecture with data analytics to provide evidence-based medicine for astronauts and the World and further the progress of human well being through the use of heath state models and trajectories. These developments will allow Neptec to offer Space Agencies and Healthcare Agencies on Earth evidence-based medicine at a small fraction of the cost of current healthcare paradigms.
ON ASTRONAUT WIRELESS SENSOR SYSTEM (OAWSS)
In 2015, Neptec led a team in the development of the On-Astronaut Wireless Sensor System (OAWSS) to provide basic biometric monitoring of astronauts for the AMS. The OAWSS includes a set of two wireless sensor units (WSU) that are worn next to the skin, a series of networked sensor interface units (SIU) and a central data management system that shares the network space with the SIUs. Once associated to an astronaut, the sensors provide a wide range of non-invasive biometric readings including: cardiogram, respiratory rate, respiratory volume, body temperature, body movement, oxygen saturation and blood pressure. The WSU’s can also be associated with a smartphone to provide individuals with health data collection and monitoring, and predict failures and recommend changes to ‘risky’ behaviour.
SPACE MEDICINE DECISION SUPPORT SYSTEM (SMDSS)
Neptec’s Space Medicine Decision Support System (SMDSS) is the ‘reasoning’ part of the Autonomous Medical System (AMS). The SMDSS stores medical knowledge as OpenEHR Archetypes and Problem-Knowledge couplers. Neptec has further developed these established technologies by integrating a final decision algorithm called the Lethality Algorithm as well as prognostic characteristics in the form of Health State Models and Health Trajectories. Based on a list of possible diagnoses or treatments, the Lethality Algorithm provides the SMDSS with a single selection by introducing time-based and harm-based criteria to the decision process. The Health State Models and Health Trajectories provide the SMDSS with the ability to look at a patient’s current health state within the context of a continuum of health states and predict failures and recommend changes to ‘risky’ behaviour.
