The purpose of this research is to develop further The User Tongue Electronic System, a Bluetooth-based device capable of measuring volume conduction properties of the tongue. These electrical properties can be used to detect changes in tongue composition and quantify the progression of dysphagia and dysarthria, common symptoms of neurological diseases such as Amyotrophic Lateral Sclerosis (ALS, a.k.a. Lou Gehrig's Disease). The device combines the convenience of a non-invasive measurement approach with the repeatability of quantitative data. The device currently uses Bluetooth communication to send tongue bioimpedance information to an Android application, but the application experiences frequent crashes, and Bluetooth communication has been unreliable. The first phase of this project replaces the current Bluetooth communication hardware with a WiFi-based communication system, which will potentially provide increased stability and robustness to the device. The app interface will be redesigned based on Human Factors Engineering practices. Measurements made with the WiFi device will be compared with Bluetooth device measurements and statistically analyzed for repeatability. All measurements will be made using printed circuit board devices that simulate tongue electrical impedance. If proven robust, the WiFi-based device will be prepared for deployment in future clinical trials. This presentation will highlight the physical underpinnings of the device and how the WiFi device performs compared to the Bluetooth device.