FURI | Spring 2019
Wireless Wearable Respiratory Monitor
Respiratory health is something that many people do not consider in their daily life, yet asthma is becoming increasingly more common in people of all ages. In order to properly care for asthma patients, it is necessary to continuously monitor the respiratory behavior of individuals with asthma or other respiratory diseases. The researcher explores improvements on a Bluetooth wearable sensor and Android application that will identify relevant respiratory characteristics. Utilizing machine learning to characterize the user’s respiration, the wearable sensor and app recognize anomalies. Further advancements include reducing power usage and improving accuracy of the machine learning algorithm.
Hometown: Phoenix, Arizona
Graduation date: Spring 2020