野外生理传感传感器分离的自动检测

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2010-10-05 DOI:10.1145/1921081.1921119

K. Plarre, A. Raij, Santanu Guha, M. al’Absi, Emre Ertin, Santosh Kumar

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引用次数: 6

摘要

身体区域传感器网络在受试者的日常生活中不断测量生物医学信号。在这些条件下测量的信号会受到异常现象的影响，例如伪影和噪声。如果实时检测到某些异常，例如ECG电极脱离，则可以纠正这些异常。我们提出了能量和计算效率高的算法，用于检测传感器脱离，为AutoSense系统开发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated detection of sensor detachments for physiological sensing in the wild

Body area sensor networks measure biomedical signals from subjects continuously, as they go about their daily lives. Signals measured in these conditions are affected by anomalies, such as artifacts and noise. Some anomalies can be corrected, if detected in real-time, for example, ECG electrode detachment. We present energy and computationally efficient algorithms for the detection of sensor detachment, developed for the AutoSense system.

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Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)

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