Unobtrusive physiological monitoring in an airplane seat
Unobtrusive physiological monitoring in an airplane seat
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DOI：
10.1007/s00779-009-0272-1
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发表时间：
2010-09-01
影响因子：
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通讯作者：
Troester, Gerhard
中科院分区：
文献类型：
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作者：
Schumm, Johannes;Setz, Cornelia;Troester, Gerhard
航空旅行已成为世界上大多数旅行者首选的长途运输方式。每个年龄组和健康状况的人都乘坐飞机旅行，因此飞机已经成为我们环境的一部分，在这里，与健康有关的限制需要辅助支持。由于乘客与飞机之间的主要交互点是座椅，因此本文提出了一种用于测量乘客健康相关信号的智能飞机座椅。我们描述的设计，实施和测试的多模态传感器系统集成到座位。所提出的系统能够测量生理信号，如心电图，皮肤电活动，皮肤温度和呼吸。我们展示了智能座椅系统的设计如何受到舒适性和信号质量之间的权衡的影响，即结合不显眼的传感器和处理错误的信号。提出了通过传感器融合的故障检测方法，并通过可行性研究说明了其工作原理，其中进行了正常乘客活动。基于所提出的方法，我们能够识别信号区域，其中用于检测心率和呼吸率的准确度分别为88%和82%，相比之下，在没有任何伪影去除的情况下为40%和76%。
Air travel has become the preferred mode of long-distance transportation for most of the world's travelers. People of every age group and health status are traveling by airplane and thus the airplane has become part of our environment, in which people with health-related limitations need assistive support. Since the main interaction point between a passenger and the airplane is the seat, this work presents a smart airplane seat for measuring health-related signals of a passenger. We describe the design, implementation and testing of a multimodal sensor system integrated into the seat. The presented system is able to measure physiological signals, such as electrocardiogram, electrodermal activity, skin temperature, and respiration. We show how the design of the smart seat system is influenced by the trade-off between comfort and signal quality, i.e. incorporating unobtrusive sensors and dealing with erroneous signals. Artifact detection through sensor fusion is presented and the working principle is shown with a feasibility study, in which normal passenger activities were performed. Based on the presented method, we are able to identify signal regions in which the accuracies for detecting the heart- and respiration-rate are 88 and 82%, respectively, compared to 40 and 76% without any artifact removal.