可听设备:多模态生理入耳式传感。

Hearables: Multimodal physiological in-ear sensing.

机构信息

Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2BT, United Kingdom.

Computational, Cognitive, and Clinical Neuroimaging Laboratory, Centre for Neuroscience, Division of Brain Sciences, Imperial College London, London, W12 0NN, United Kingdom.

出版信息

Sci Rep. 2017 Jul 31;7(1):6948. doi: 10.1038/s41598-017-06925-2.

Abstract

Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time, and in the community. Human body responses are manifested through multiple, interacting modalities - the mechanical, electrical and chemical; yet, current physiological monitors (e.g. actigraphy, heart rate) largely lack in cross-modal ability, are inconvenient and/or stigmatizing. We address these challenges through an inconspicuous earpiece, which benefits from the relatively stable position of the ear canal with respect to vital organs. Equipped with miniature multimodal sensors, it robustly measures the brain, cardiac and respiratory functions. Comprehensive experiments validate each modality within the proposed earpiece, while its potential in wearable health monitoring is illustrated through case studies spanning these three functions. We further demonstrate how combining data from multiple sensors within such an integrated wearable device improves both the accuracy of measurements and the ability to deal with artifacts in real-world scenarios.

摘要

未来的医疗系统需要能够长期在社区中评估和跟踪用户的神经和生理功能的手段。人体反应通过多种相互作用的方式表现出来——机械的、电气的和化学的;然而,目前的生理监测器(例如活动记录仪、心率监测器)在跨模态能力方面存在很大的不足,而且使用不便,还带有污名化。我们通过一个不起眼的耳机来解决这些挑战,它得益于耳道相对于重要器官的相对稳定位置。该耳机配备了微型多模态传感器,可以稳健地测量大脑、心脏和呼吸功能。综合实验验证了所提出的耳机中每种模态的有效性,而通过涵盖这三种功能的案例研究,展示了其在可穿戴健康监测中的潜力。我们进一步展示了如何在这种集成的可穿戴设备中组合来自多个传感器的数据,从而提高测量的准确性和处理实际场景中伪影的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5537365/2bf8562847eb/41598_2017_6925_Fig1_HTML.jpg

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