http://mll.csie.ntu.edu.tw/papers/TeethProbeISWC.pdf
National Taiwan University researchers have created a tooth-based sensor, accelerometer, and associated machine learning software to detect and distinguish between chewing, smoking, coughing, or speaking. The capability to monitor mouth motions may help physicians keep track of patient progress or allow a patient to better understand his/her health habits. Working prototypes of the tooth sensor used wires to connect to a power source and a data-logging device. Inventor Hao-hua Chu and colleagues envision the tooth sensor eventually being powered by a micro-battery and transmitting data wirelessly via Bluetooth to a smartphone. They also hope to embed the device inside artificial teeth that can be easily removed and customized for each individual.
It likely that the same technology could be used to monitor infection level in wound healing in the form of an adhesive sensor.
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