MULTICHANNEL s-EMG SYSTEM OF MASTICATORY MUSCLES: DESIGN AND CLINICAL APPLICATION IN DIAGNOSIS OF DYSFUNCTION IN STOMATOGNATHIC SYSTEM

To develop a more convenient electromyography (EMG) signal acquisition system for masticatory muscles (MMs) will have implication for the diagnosis of disease of stomatological system and functional reconstruction in dentistry. This study attempted to design a multi-channel MM surface electromyography (s-EMG) signal acquisition system which has high common mode rejection ratio (CMRR) and preamplifier system. In this system, a USB graphical interface technology on windows operating system was specifically designed and s-EMG data were analyzed by a combination of time domain, frequency domain, time-frequency, several spectral analysis, wavelets and other special algorithms under multi-parameter. Then the EMG data from some patients with stomatological dysfunction in temporomandibular joint (TMJ) clinic and a control group from dental school students were acquired and analyzed. The data indicate that the s-EMG signal acquisition system which has been built is simple and useful in aiding diagnosis and treatment evaluation of temporomandibular disorders.

[1]  P. Conti,et al.  The treatment of painful temporomandibular joint clicking with oral splints: a randomized clinical trial. , 2006, Journal of the American Dental Association.

[2]  Howard J. Hillstrom,et al.  A Spectral Analysis of Rotator Cuff Musculature Electromyographic Activity: Surface and Indwelling , 2011, HSS Journal.

[3]  Kang-Ming Chang,et al.  A Wireless sEMG Recording System and Its Application to Muscle Fatigue Detection , 2012, Sensors.

[4]  B. C. Cooper,et al.  The role of bioelectronic instrumentation in the documentation and management of temporomandibular disorders. , 1997, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[5]  J. Okeson,et al.  The clinical usefulness of surface electromyography in the diagnosis and treatment of temporomandibular disorders. , 2006, Journal of the American Dental Association.

[6]  Mario Cifrek,et al.  Surface EMG based muscle fatigue evaluation in biomechanics. , 2009, Clinical biomechanics.

[7]  M. Gavião,et al.  Electromyographic activity and thickness of masticatory muscles in children with unilateral posterior crossbite , 2009, Clinical anatomy.

[8]  Fray Adib.  The efficacy of EMG, jaw tracking, and joint sound recording technologies in the evaluation of TMD. , 2011, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[9]  C.S. Pattichis,et al.  Time-scale analysis of motor unit action potentials , 1999, IEEE Transactions on Biomedical Engineering.

[10]  R. Moyers,et al.  Temporomandibular muscle contraction patterns in Angle Class II, division 1 malocclusions; an electromyographic analysis. , 1949, American journal of orthodontics.