Kemsley E K, Defernez M, Sprunt J C, Smith A C
Institute of Food Research, Colney, Norwich NR4 7UA, UK.
J Electromyogr Kinesiol. 2003 Apr;13(2):197-207. doi: 10.1016/s1050-6411(02)00065-2.
The aim was to understand between-volunteer differences in Electromyography (EMG) behaviour during chewing. EMG was used to record the electrical activity of the temporal and masseter muscles of volunteers, who carried out mastication movements by operating calibrated springs held between their incisors. The volunteers coordinated their jaw movements with the signal produced by a metronome, at four rates: 30, 60, 90 and 120 beats per minute (bpm). Raw data were analyzed to examine the distributions of the intervals between chews. For the highest prescribed chew rates, the volunteers' distributions were very similar. The distributions varied most for the 30 bpm data, suggesting that volunteers differed in their ability to carry out and maintain this prescribed chewing pattern. The data were Fourier transformed to give power spectra in the frequency domain. The low frequency (<10 Hz) region contained spectral features related to the prescribed chew rate. Principal component analysis of the power spectra revealed that readings from each volunteer clustered together, and the clusters could be largely separated. Such grouping was found irrespective of whether data from each chew rate were analyzed separately or simultaneously. This indicated that within-volunteer variance, arising from the different chew rates as well as between-session variance, is lower than between-volunteer variance; even when individuals are asked to make jaw movements in the same prescribed manner, they can nevertheless be uniquely distinguished by their muscle activity as recorded by EMG.
目的是了解志愿者在咀嚼过程中肌电图(EMG)行为的个体差异。EMG用于记录志愿者颞肌和咬肌的电活动,志愿者通过操作门牙间夹持的校准弹簧进行咀嚼运动。志愿者以每分钟30、60、90和120次节拍(bpm)这四种速率,将其下颌运动与节拍器发出的信号进行协调。对原始数据进行分析,以检查咀嚼间隔的分布情况。对于规定的最高咀嚼速率,志愿者的分布非常相似。30 bpm数据的分布差异最大,这表明志愿者在执行和维持这种规定咀嚼模式的能力上存在差异。对数据进行傅里叶变换,以得到频域中的功率谱。低频(<10 Hz)区域包含与规定咀嚼速率相关的频谱特征。功率谱的主成分分析表明,每个志愿者的读数聚集在一起,并且这些聚类在很大程度上可以分开。无论对每个咀嚼速率的数据是单独分析还是同时分析,都发现了这种分组情况。这表明,由不同咀嚼速率引起的个体内方差以及不同时间段之间的方差低于个体间方差;即使要求个体以相同的规定方式进行下颌运动,通过EMG记录的肌肉活动仍能将他们独特地区分开来。