Our team created a way for the Mobili-T® to detect when a patient’s swallowing muscles contract. This is known as an automated swallow-detection algorithm. This algorithm makes sure that signals arising from swallow or swallow-like exercises are reinforced,...
Being able to comfortably attach the Mobili-T® under the chin was a primary concern for us. In this study, we tested several different adhesives to see how well they might stick to the skin. We also wanted to see which ones could be washed and re-used. View...
In this short paper, we presented some of our first ideas about the Mobili-T®. These ideas came from the clinical needs that were first identified by our team. Abstract Swallowing impairments, or dysphagia, can lead to serious health problems and psychosocial...
This study compared two surface sensors: one that detects the electrical activity of a muscle ( surface electromyography) and one that detects muscle vibration (mechanomyography). We wanted to know which one would be best to use in the Mobili-T®. We compared...
In this study, we wanted to get to know our patients better, not just from a medical point of view, but from a personal one as well. We used a research approach called a Cultural Probe. This approach helped us to understand our end users and inform the design of app....
People with a history of head and neck cancer were interviewed so that we could understand what had helped them complete therapy at home in the past. Then, we asked them what design concepts they would like to see in the Mobili-T® app. The information gained from this...
