丰富潜水计算机的身体传感器网络数据

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Pub Date : 2017-05-01 DOI:10.1109/BSN.2017.7936034

André Stollenwerk, F. Sehl, G. Marx, S. Kowalewski, Thorsten Janisch

{"title":"丰富潜水计算机的身体传感器网络数据","authors":"André Stollenwerk, F. Sehl, G. Marx, S. Kowalewski, Thorsten Janisch","doi":"10.1109/BSN.2017.7936034","DOIUrl":null,"url":null,"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.","PeriodicalId":249670,"journal":{"name":"2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enrichment of a diving computer with body sensor network data\",\"authors\":\"André Stollenwerk, F. Sehl, G. Marx, S. Kowalewski, Thorsten Janisch\",\"doi\":\"10.1109/BSN.2017.7936034\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":249670,\"journal\":{\"name\":\"2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSN.2017.7936034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2017.7936034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

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。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Enrichment of a diving computer with body sensor network data

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

自引率

0.00%

发文量