Smart Helmet: Wearable Multichannel ECG and EEG
Smart Helmet: Wearable Multichannel ECG and EEG
复制标题
智能头盔：可穿戴多通道心电图和脑电图
DOI：
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发表时间：
2016
影响因子：
3.4
通讯作者：
D. Mandic
中科院分区：
文献类型：
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作者：
Wilhelm von Rosenberg;Theerasak Chanwimalueang;Valentin Goverdovsky;D. Looney;David J. Sharp;D. Mandic
现代可穿戴技术已经能够连续记录生命体征，然而，对于自行车、赛车或军事交战等活动，带有嵌入式传感器的头盔将提供最大的便利性，并有机会同时监测生命体征和脑电图 (EEG)。为此，我们研究了通过在标准头盔中嵌入多个电极，从面部导联位置记录心电图 (ECG)、呼吸和脑电图的可行性。电极位置位于下颌、乳突和前额，而出于验证目的，胸部周围的呼吸带和胸部的参考心电图可作为评估性能的基础事实。通过将受试者暴露于周期性视觉和听觉刺激并筛选响应这些刺激的稳态诱发电位的记录来验证头盔内脑电图。选择骑自行车和步行作为现实世界的活动来说明如何处理由此引起的不规则运动伪影，这些伪影会污染录音。我们还提出了一种适合此类噪声环境的多元 R 峰值检测算法。现实场景中的记录支持了从拟议的智能头盔记录生命体征和脑电图的可行性的概念证明。
Modern wearable technologies have enabled continuous recording of vital signs, however, for activities such as cycling, motor-racing, or military engagement, a helmet with embedded sensors would provide maximum convenience and the opportunity to monitor simultaneously both the vital signs and the electroencephalogram (EEG). To this end, we investigate the feasibility of recording the electrocardiogram (ECG), respiration, and EEG from face-lead locations, by embedding multiple electrodes within a standard helmet. The electrode positions are at the lower jaw, mastoids, and forehead, while for validation purposes a respiration belt around the thorax and a reference ECG from the chest serve as ground truth to assess the performance. The within-helmet EEG is verified by exposing the subjects to periodic visual and auditory stimuli and screening the recordings for the steady-state evoked potentials in response to these stimuli. Cycling and walking are chosen as real-world activities to illustrate how to deal with the so-induced irregular motion artifacts, which contaminate the recordings. We also propose a multivariate R-peak detection algorithm suitable for such noisy environments. Recordings in real-world scenarios support a proof of concept of the feasibility of recording vital signs and EEG from the proposed smart helmet.