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This week we got more insights into the project and ourselves as a group.
We declared our group and individual goals. What we want to achieve during this project in terms of end product and personal growth. Furthermore, we settled on a group name, Pinch Studio, and even came up with a name for the project, UltiMo.
Furthermore we started to look into the different sensors and how we could start to test them in a first prototype. Next week we will develop this further and visit the hospital to get more insights in the environment of the product and to ask some questions we stumbled upon during the research of the past two weeks.
The Sustainability course within the university project let us think about the prime objective and articulation. How will our project be sustainable within one or more of the three pillars, people, planet or profit. The outcomes of this workshop were discussed during the coach meeting on Thursday.

Project progress

This week we discussed the end goal of the project. We established three phases and will work on them one after the other. First we’ll try to make the two systems of sensing and displaying separately (min goal). Hereafter, the two systems would need to become communicate in order to have a minimum viable prototype (Target). For now this is what we think we can achieve within the duration of the project. If we manage to complete this second phase we’ll also try to have the system interact with other devices/systems in the ICU (our stretch or max goal).

Sensor graph

We started exploring the sensors which might be used in this project. The picture below shows four segments that might be useful to detect inside the patient box together with sensors that would enable the segment’s implementation. These four segments include; category of person in the patient box (visitor, nurse, doctor, etc), amount of people in the patient box, identity of the person (which specific clinician) and the proximity of a given person to the monitor itself. All these things could be relevant in deciding on the behavior of the monitor any given time.The idea behind measuring proximity is to have a feature that displays particular information on the screen when the clinician approaches the monitor. We thought about adding this function to decrease the monitor brightness at night and improve the day and night rhythm. First we’ll look at sensing the amount of people and their categories.The proximity and identity will be integrated after these two due to them being unessential for a correct working of the system, but could contribute to an even better regulation of the monitor behavior (for example knowing what specific nurse is where at what time could help with alarm messaging).