Sometimes it is all fun and games! 🎈🎈🎈
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#madeatgix #designbuildlaunch ...

Congrats to Shixin F Qin, Germaine Ng, Hua Lo, Yanzhang Li for having their paper (“Application for Measuring Eyelid Weakness in Individuals with Myasthenia Gravis”) accepted for publication in the IEEE GHTC! Individuals with myasthenia gravis experience abnormal fatigability and weakness of skeletal muscles. Facial symptoms of myasthenia gravis include ptosis (i.e., drooping eyelid) and weakness of eyelid closure. Currently, the Myasthenia Gravis Activities of Daily Living (MG-ADL) scale is used to track several symptoms of myasthenia gravis, including degree of ptosis. However, this and other current methods of measurement of the degree of ptosis are subjective (qualitative) and not quantified. In this study, we proposed a machine learning-based facial measuring application that can quantitatively track and record the degree and rate of ptosis to aid clinicians in diagnosis, as well as help patients track daily symptoms, and in some cases, assess patient response to medication. In the application, facial landmarks are tracked using face detection algorithms. The distance between upper and lower eyelids is calculated based on the contours of detected eyes. To establish a baseline and compare the degree of ptosis over time, we also use the interocular distance to scale the eye droop level. The experimental results show that the proposed smartphone application can measure the degree of
ptosis in individuals with myasthenia gravis.

#madeatgix @uofwa #uofwa #uwmsti #ieeeghtc @ieeeorg @ieeeusa ...

Congrats to Dongho Koo, Yenny Rho, Micro Cross, and Hernan F. Herrera Polanco for being one of three MSTI teams to have their paper accepted for publication into the IEEE Global Humanitarian Technology Conference! Humans with severe speech and motor impairments, such as those with locked-in syndrome, experience difficulty initiating communication with caregivers. Without the ability to press a button or vocalize their requests, they must rely on in- person caregivers to anticipate their needs and communicate through eye movements or expensive and difficult to maintain systems. In this feasibility study, our research  demonstrates that low-cost hardware including a consumer-grade, dry electrode EEG headset can be used to detect customizable blink patterns to send notifications to a caregiver’s smartphone anywhere with an internet connection. This restores the patient's ability to communicate on-demand and when their caregiver is not physically present in the same room. Low-cost equipment also improve access for monetarily constrained situations.

#madeatgix @uofwa #uofwa #uwmsti #ieeeghtc @ieeeorg @ieeeusa ...

Congratulations to Guanting Li, Marcus Choi, Ross Todrzak, and April Zhao for being one of three @uofwa MSTI teams to have their paper accepted for publication into the IEEE Global Humanitarian Technology Conference! The team is continuing work started by previous MSTI students to design, build, and test a smart helmet for wildland firefighters that can send vital data to their supervisor while they are working to extinguish an active fire. The smart helmet collects temperature, heart rate, and acceleration data from each fire-fighter via sensors inside and around the helmet. The data is used to alert the supervisor of potential health or emergency issues, such as heat-related illness, dehydration, potential falls or abnormal heart rates. A mobile app that the supervisor connects to their smart helmet device collects data in real time from the firefighters, without the need of any cellular coverage or WiFi. 

#firefighter #firefighting @washdnr #wildlandfirefighter @ieeeorg @ieeeusa @uofwa #uofwa #madeatgix #designbuildlaunch ...