Mental stress modeling using wearable measurement of breath

过多的日常压力会威胁心理健康，增加抑郁症等精神疾病的发病率。而且，重要的是要学会了解个体的压力负担，并与心理压力很好地共存。因此，我们开发了用于测量心率和呼吸频率的生理信号传感器作为常见的应激标记，并分析了心血管反应和唾液Coltisol反应作为典型的生理反应。目前的研究重点是由内脏发出的声音组成的身体声音。我们新开发了一种由听诊器、扩音器麦克风和IC录音机组成的体音传感器原型。我们提出了利用连续小波变换从颈部的体音同时测量心率和呼吸频率。我们从实验上证实，心率和呼吸率是由我们的建议确定的，而心电或呼吸波形足够吻合，因此是可行的。此外，我们还进行了包括重复减法任务和镜面画任务的应激评估实验，以测量心血管和唾液中的Coltiol反应。我们证实，心理应激使心率、收缩压、舒张压和平均动脉压显著增加。

Excessive amounts of daily stress threaten mental health and increase mental illness such as depression. And, it is important to learn how to know stress burden of individuals and coexist well with mental stress. We have therefore developed physiological signal sensors for measurement of heart and respiratory rate as common stress markers, and analyzed cardiovascular reaction and salivary coltisol reaction as typical physiological reaction. The present study has focused on body-sound comprised of sound generated by internal organs. We newly developed a prototype body-sound sensor consisting of stethoscopes, amplifier microphones and an IC recorder. We proposed measuring heart and respiratory rate simultaneously from body-sound at the neck using continuous wavelet transformation. We experimentally confirmed that heart and respiratory rate were determined by our proposal and ECG or respiratory waveform coincided sufficiently to be feasible. Also, we have conducted stress evaluation experiment including repeated subtraction task and mirror drawing task to measure cardiovascular and salivary coltisol reaction. We confirmed that heart rate, systolic blood pressure, diastolic blood pressure and mean arterial pressure were significantly increased by the mental stress.