Matsui Takemi, Katayose Satoshi
Department of Management Systems Engineering, Tokyo Metropolitan University , 6-6 Asahigaoka, Hino, Tokyo , Japan.
J Med Eng Technol. 2014 Aug;38(6):302-6. doi: 10.3109/03091902.2014.921252. Epub 2014 Jun 17.
The authors have developed a non-contact system which estimates changes in salivary α-amylase (sAA ratio) induced by stress. Before and after stressful sound exposure, a single 24 GHz compact radar which is attached to the back of a chair measures the low frequency (LF) component of heart rate variability and respiratory rate, α-amylase in the subjects' buccal secretions was measured by using an α-amylase assay kit. Using multiple regression analysis, sAA ratio was estimated using stress-induced LF change (LF ratio) and stress-induced respiratory rate change (respiratory rate ratio). Twelve healthy subjects were tested (12 males, 22 ± 2 years), who were exposed to audio stimuli with a composite tone of 2120 Hz and 2130 Hz sine waves at a sound pressure level of 95 dB after a silent period through a headphone. The result showed that sAA ratio estimated using multiple regression analysis significantly correlated with measured sAA ratio (R = 0.76, p < 0.01). This indicates that the system may serve for a stress management in the future.
作者开发了一种非接触式系统,该系统可估计压力引起的唾液α-淀粉酶变化(sAA比率)。在暴露于压力性声音之前和之后,安装在椅子靠背上的单个24 GHz紧凑型雷达测量心率变异性和呼吸频率的低频(LF)成分,使用α-淀粉酶检测试剂盒测量受试者颊部分泌物中的α-淀粉酶。使用多元回归分析,利用压力诱导的LF变化(LF比率)和压力诱导的呼吸频率变化(呼吸频率比率)来估计sAA比率。对12名健康受试者(12名男性,22±2岁)进行了测试,在安静期后,通过耳机让他们暴露于声压级为95 dB的2120 Hz和2130 Hz正弦波合成音的音频刺激下。结果表明,使用多元回归分析估计的sAA比率与测量的sAA比率显著相关(R = 0.76,p < 0.01)。这表明该系统未来可能用于压力管理。