Nishiyama K, Taoda K, Yamashita H, Watanabe S
Department of Preventive Medicine, Shiga University of Medical Science, Japan.
Int Arch Occup Environ Health. 1994;66(2):97-102. doi: 10.1007/BF00383364.
A new, self-recording, vibratory sensation meter measures temporary threshold shifts of vibratory sensation (TTSv) on a finger tip. After exposure to hand-transmitted vibration with exposure frequencies 63 Hz, 200 Hz and 500 Hz, and levels of acceleration 1 g, 2 g, 4 g and 8 g, fingertip measurements were obtained. Temporary threshold shift immediately after the vibratory exposure (TTSv,0) was estimated for each exposure from the regression analysis by approximation of an exponential function. Time constant (tc) was also estimated at the same time by the analysis. The coefficients of determination were large. Thus, the fit of the exponential function is very good for each exposure. The tc corresponds to the recovering velocity of the temporary shift and implies the half-life period of TTSv. These parameters enable us to examine more generally the relationships of TTSv to the characteristics of exposure vibration, subject and other conditions. On this basis, the estimated TTSv,0 and tc were used to examine the dependency of TTSv on the characteristics of the exposure vibration and the subject. The most effective frequency under the level of 4 g is thought to be between 200 Hz and 500 Hz. TTSv,0 of each subject proportionally increased with power of acceleration. The coefficient of determination on regression analysis was large. This result enables us to estimate TTSv,0 at an arbitrary level of acceleration by use of a regression equation derived from experimental data.
一种新型的自记录式振动感觉计可测量指尖振动感觉的暂时阈移(TTSv)。在暴露于频率为63Hz、200Hz和500Hz,加速度水平为1g、2g、4g和8g的手部传递振动后,进行了指尖测量。通过指数函数近似的回归分析,对每次暴露后振动暴露即刻的暂时阈移(TTSv,0)进行了估计。同时通过该分析还估计了时间常数(tc)。决定系数很大。因此,指数函数对每次暴露的拟合非常好。tc对应于暂时阈移的恢复速度,意味着TTSv的半衰期。这些参数使我们能够更全面地研究TTSv与暴露振动特性、受试者及其他条件之间的关系。在此基础上,使用估计的TTSv,0和tc来研究TTSv对暴露振动特性和受试者的依赖性。4g水平下最有效的频率被认为在200Hz至500Hz之间。每个受试者的TTSv,0随加速度的幂成比例增加。回归分析的决定系数很大。这一结果使我们能够通过使用从实验数据得出的回归方程,在任意加速度水平下估计TTSv,0。