Introduction: The jaw joint or the Temporo Mandibular Joint (TMJ) is the most complex joint, this joint opens and closes like a hinge and shifts forward, back and from side to side. The jaw joint has a very important role in the function of mastication, swallowing and speech. During the chewing process, this joint supports a large amount of pressure from the jaw joint muscles. One way to detect temporomandibular muscle abnormalities is to determine the strength of contractions in the muscles involved when performing masticatory functions.
Objective: The aim of this study is to develop an innovative android-based portable tool for early detection of Temporomandibular disorders (TMD) in Masseter and Temporalis muscles based on Android as a early detection with a short time analysis thereby reducing the severity of the child's jaw joint disorders.
Methods: In mastication muscle, thirty 7.2 ± 1.3 years old pediatric patients were 30 people, assessed using a dentosmart EMG detection device and the results compared muscle strength in pediatric patients with class I malocclusions with mesioocclusion and distoocclusion malocclusions.
Results: In the application, the diagnosis will be displayed in 2 conditions, namely "Normal" or "Temporomandibular disorders". For class I malocclusion is a normal condition, but for class II (mesioocclusion) and III (distoocclusion) malocclusion is a condition called abnormal "Temporomandibular disorders".
Conclusion: Early detection of jaw joint muscle disorders based on an android smartphone. Jaw joint disorders are identified based on electrical activity in the masseter and temporalis muscles and process the data obtained as a result of a temporary diagnosis to see the strength of normal or abnormal muscle contractions.
Electromyogrphy, Muscle Disorders, Temporomandibular Joint
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