Enrichment of a diving computer with body sensor network data

André Stollenwerk, F. Sehl, G. Marx, S. Kowalewski, Thorsten Janisch
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引用次数: 3

Abstract

Decompression algorithms in hyperbaric applications currently usually base on information about the ambient pressure in a temporal course. However, the impact of other factors like temperature or physical activity is well documented in literature. Therefore, we elaborated a prototypic setup, which is not only able to enrich the decompression algorithms run on a diving computer by this data, but also store this information for successive data mining.
丰富潜水计算机的身体传感器网络数据
目前,高压应用中的减压算法通常基于一段时间内的环境压力信息。然而,温度或身体活动等其他因素的影响在文献中有很好的记载。因此,我们设计了一个原型设置,它不仅可以丰富在潜水计算机上运行的解压算法,而且可以存储这些信息,以便进行后续的数据挖掘。
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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