Characteristics of EMG frequency bands in temporomandibullar disorders patients.
The aim of the present study was to determine whether any specific frequency bands of surface electromyographic (sEMG) signals are more susceptible to alterations in patients with temporomandibular disorders (TMD), when compared with healthy subjects. Twenty-seven healthy adults (19 women and eight men; mean age: 23±6.68years) and 27 TMD patients (20 women and seven men; mean age: 24±5.89years) voluntarily participated in the experiment. sEMG data were recorded from the right and left masseter muscles (RM and LM) and the right and left anterior temporalis muscles (RT and LT) as the participants performed tests of chewing (CHW) and maximal clenching effort (MCE). Frequency domain analysis of the sEMG signal was used to analyze differences between TMD patients and healthy subjects in relation to the Power Spectral Density Function (PSDF). The analysis focused on the median frequency (MDF) of the sEMG signal and PSDF frequency bands after the EMG spectrum was divided into twenty-five frequency band of 20Hz each. The Mann-Whitney test was used to compare MDF between TMD patients and healthy subjects and the frequency bands were analyzed using three-way ANOVA with three factors: frequency band, muscle and group. The results of the analysis confirmed that the median frequency values in TMD patients were significantly higher (p<0.05) than those recorded for healthy subjects in the two experimental conditions (MCE and CHW), for all of the muscles assessed (RM, LM, RT and LT). In addition, frequency content between 20 and 100Hz of the normalized PSDF range was significantly lower (p<0.05) in TMD patients than in healthy. This study contributes to quantitatively identify TMD dysfunctions, by non-invasive sEMGs; this assessment is clinically important and still lacking nowadays.
Department of Rehabilitation Science, Human Motion Analysis Laboratory, Universidade Nove de Julho, São Paulo, Brazil. Electronic address: fabianopolitti@gmail.com.
Fabiano
F
Politti
NeuroEngineering and Medical Robotics Laboratory, Dept. Eletronics, Information and Bioengineering, Politcnico di Milano, Milano, Italy. Electronic address: claudia.casellato@polimi.it.
Claudia
C
Casellato
Department of Rehabilitation Science, Human Motion Analysis Laboratory, Universidade Nove de Julho, São Paulo, Brazil. Electronic address: marcelomkal@hotmail.com.
Marcelo Martins
MM
Kalytczak
Department of Rehabilitation Science, Human Motion Analysis Laboratory, Universidade Nove de Julho, São Paulo, Brazil. Electronic address: mariliabsg@gmail.com.
Marilia Barbosa Santos
MB
Garcia
Department of Rehabilitation Science, Human Motion Analysis Laboratory, Universidade Nove de Julho, São Paulo, Brazil. Electronic address: biasottogonzalez@gmail.com.
Daniela Aparecida
DA
Biasotto-Gonzalez
D000293:Adolescent; D000328:Adult; D016022:Case-Control Studies; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008406:Masseter Muscle / Q000503:physiopathology; D008409:Mastication; D013703:Temporal Muscle / Q000503:physiopathology; D013705:Temporomandibular Joint Disorders / Q000175:diagnosis / Q000503:physiopathology*
Anterior temporalis; Frequency band; Masseter; Power spectrum density function; Surface electromyography; Temporomandibular disorder