Current status of project:
This past week, our group completed research on many parameters that could potentially be used to develop the sleep alert software for the MRI. Along with the research, we met with our client on two different days; Wednesday and Friday. Wednesday’s meeting consisted of figuring out what physiological parameters would be viable according to our client’s needs and equipment. On Friday, Amy and Jeff learned how to collect data using the eye-tracker. From what we saw, and based on the information given to us by our client, the eye-tracking device will provide us with time-sensitive data that can be used easily in an MRI scanner. We met the person in charge of the eye tracker, Nick Bloom, and we plan to talk to him again to figure out the more minute details of the eye-tracker, such as how to format and interpret the different outputs provided by the device.
Work planned for next week:
This week our group plans to acquire actual data from the eye-tracker, along with heart-rate and respiratory data. We will then analyze this data and try to parse it in such a way that allows a clear distinction between wakefulness and sleep to be seen. Potentially, we would also like to find differences between the different sleep stages.
Anything needed from client or TA or instructor to continue work:
-Key to eye tracker room from Dosenbach so independent research can be performed
-Heart-rate/respiration monitor from instructor for physiological parameter testing in an MRI room (in our meeting, our client mentioned asking if we could get this relatively simple equipment from WashU)
This past week, our group completed research on many parameters that could potentially be used to develop the sleep alert software for the MRI. Along with the research, we met with our client on two different days; Wednesday and Friday. Wednesday’s meeting consisted of figuring out what physiological parameters would be viable according to our client’s needs and equipment. On Friday, Amy and Jeff learned how to collect data using the eye-tracker. From what we saw, and based on the information given to us by our client, the eye-tracking device will provide us with time-sensitive data that can be used easily in an MRI scanner. We met the person in charge of the eye tracker, Nick Bloom, and we plan to talk to him again to figure out the more minute details of the eye-tracker, such as how to format and interpret the different outputs provided by the device.
Work planned for next week:
This week our group plans to acquire actual data from the eye-tracker, along with heart-rate and respiratory data. We will then analyze this data and try to parse it in such a way that allows a clear distinction between wakefulness and sleep to be seen. Potentially, we would also like to find differences between the different sleep stages.
Anything needed from client or TA or instructor to continue work:
-Key to eye tracker room from Dosenbach so independent research can be performed
-Heart-rate/respiration monitor from instructor for physiological parameter testing in an MRI room (in our meeting, our client mentioned asking if we could get this relatively simple equipment from WashU)