Abstract: The invention discloses a system and a method for the detection of sleep bruxism, the system comprising two sensor devices, the first sensor device is attached to the skin of the left masseter muscle of the patient and a second sensor device is attached to the skin of the right masseter muscle. The sensor devices each comprise an accelerometer, a processor module arranged for processing detection signals of the accelerometer and transmitting them to the processed signals to a wireless transceiver. The wireless transceiver is arranged for communicating the processed signals to a remote processor unit. An electronic circuitry comprises the accelerometer, the processor module and the wireless transceiver and is powered by a power source. The system further comprising a remote processor unit running software arranged for analyzing the communicated processed signals.

Abstract: A method for detection of teeth grinding using audio which is recorded by a mobile device. The mobile device preferably comprises a mobile phone, a Personal Digital Assistant (PDA), a tablet computer, or a laptop. The audio that is recorded is analyzed by a computer program using pattern recognition and machine learning. The computer program may be trained to determine a patient's personal teeth grinding sounds. For this purpose a personal algorithm for each patient to detect teeth grinding sounds may be created.