In this study, we wanted to know how easy it was for patients to work with the Mobili-T app. We also wanted to know how satisfied they were with navigating the app. This study helped the team identify issues that needed to be addressed before sending patients home with the system. Click here to learn more.
Flow and Grit
In this paper, we provide a viewpoint on how gamified health apps can enhance exercise adherence. Click here to learn more.
We partnered with our collaborators in materials engineering to determine if the Mobili-T hardware could be miniaturized even more. In this study, we evaluated a surface electromyography sensor that was as thin as a Band-Aid. This was tested in one healthy participant, during swallowing exercises. Click here to learn more.
Evaluation of an automated swallow-detection algorithm
Our team created a way forthe 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, while non-swallow movements are ignored. Click here to learn more.
Skin Adhesives for the Mobili-T
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. Click here to learn more.
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. Click here to learn more.
Selecting the best surface sensor
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 swallowing muscle contractions with these two sensors in healthy participants and in patients with a history of head and neck cancer. Click here to learn more.
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. Click here to learn more.
Using patient input to inform software design
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 study was used to create a simple, yet appealing, Mobili-T app interface for our patients. Click here to learn more.
Mobili-T (Mobile Therapy) is a tool to help you complete swallowing therapy from home.