| 摘要: |
| 由于计算机对人认知与情感方面的利用将有助于未来智能生活的实现，同时研究发现，血液容积脉搏波（photo-plethysmography，简称PPG)信号包含的心脏收缩与血管壁本身压力的效果将有助于对人体心理压力及情感测量的分析，因此介绍了通过利用反射式血氧传感器得到PPG波形，并采用压力血氧反应指数（stress-induced vascular responses index，简称sVRI)模型来分析人体目前的压力值，验证反射式传感器对于人体心理压力测量方面的适用性.实验中不仅比较了传统透射式传感器与反射式传感器在双波长（红光与红外光)正常情况与压力情况下PPG波形的差异，同时也引入了新的波长——绿光，即利用绿光反射式传感器，通过sVRI模型来分析人体的压力值.通过比较与讨论，证明了反射式血氧传感器的适用性.最后，将实验结果与sVRI模型相结合应用于实验鼠标模型中，将反射式传感器所携带的生理信息应用于日常生活中，其佩戴更加舒适以及佩戴位置范围更广的优点适合脉搏检测的高性能医疗保健设备及可穿戴智能设备. |
| 关键词: 光学体积描记术(PPG) 反射式血氧传感器 绿光 压力血氧反应指数(sVRI) 心理压力 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金（61201357)；国家高技术研究发展计划（863)（SS2015AA020102) |
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| Mental Pressure Analysis Based on Reflective Photoplethysmogram |
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TIAN Yuan, RONG Si-Ke, LÜ Yong-Qiang, SHI Yuan-Chun
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Research Institute of Information Technology, Tsinghua University, Beijing 100084, China
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| Abstract: |
| As the computer's use of people's cognitive load and mental stress will help the achievement of smart life in the future, meanwhile recent studies show that the PPG signal which reflects the changes of blood volume in the microvascular will help to analyze the mental stress and emotion measurement. The paper introduces a novel photoplethysmogram-based stress induced vascular index (sVRI) to measure cognitive load and stress by using a reflective PPG signal sensor. This model demonstrates the applicability of the reflective PPG signal sensor. The experiment in this paper does not only compare the waveform difference of using the transmission mode and reflective mode to acquire the PPG signal, it also uses the reflective green light compared with the red and infrared light. The mental stress is evaluated based on reflective photoplethysmogram. Baed on the comparison and discussion, the applicability of the reflective PPG signal sensor is proved. At last, the paper applies the results of the experiment to the model of the mouse. It has a great influence on the individual health problems in daily life and the advantage of comfort for the individuals and the mobility convenience can expand considerably the range of wearable smart devices and high-performance medical care devices used for pulse detection system. |
| Key words: photoplethysmography reflected sensor green light stress-induced vascular response index (sVRI) mental pressure |
