Framework to monitor pregnant women with a high risk of premature labour using sensor networks

Hisham Allahem; Srinivas Sampalli

doi:10.23919/INM.2017.7987458

Framework to monitor pregnant women with a high risk of premature labour using sensor networks

Hisham Allahem, Srinivas Sampalli

Physics and Astronomy

科研成果: 图书/报告稿件的类型 › 会议稿件

12 引用（Scopus）

源语言	英语
主期刊名	Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management
编辑	Prosper Chemouil, Paulo Simoes, Edmundo Madeira, Stefano Secci, Edmundo Monteiro, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos, Marinos Charalambides
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1178-1181
页数	4
ISBN（电子版）	9783901882890
DOI	https://doi.org/10.23919/INM.2017.7987458
出版状态	已出版 - 7月 20 2017
活动	15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017 - Lisbon, 葡萄牙期限: 5月 8 2017 → 5月 12 2017

出版系列

姓名	Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management

会议

会议	15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017
国家/地区	葡萄牙
市	Lisbon
时期	5/8/17 → 5/12/17

!!!ASJC Scopus Subject Areas

计算机网络与通信
硬件和架构
信息系统与管理

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10.23919/INM.2017.7987458

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引用此

Allahem, H., & Sampalli, S. (2017). Framework to monitor pregnant women with a high risk of premature labour using sensor networks. 在 P. Chemouil, P. Simoes, E. Madeira, S. Secci, E. Monteiro, L. P. Gaspary, C. R. P. dos Santos, & M. Charalambides (编辑), Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management (页码 1178-1181). 文章 7987458 (Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/INM.2017.7987458

Framework to monitor pregnant women with a high risk of premature labour using sensor networks. / Allahem, Hisham; Sampalli, Srinivas.
Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management. 编辑 / Prosper Chemouil; Paulo Simoes; Edmundo Madeira; Stefano Secci; Edmundo Monteiro; Luciano Paschoal Gaspary; Carlos Raniery P. dos Santos; Marinos Charalambides. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 1178-1181 7987458 (Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management).

科研成果: 图书/报告稿件的类型 › 会议稿件

Allahem, H & Sampalli, S 2017, Framework to monitor pregnant women with a high risk of premature labour using sensor networks. 在 P Chemouil, P Simoes, E Madeira, S Secci, E Monteiro, LP Gaspary, CRP dos Santos & M Charalambides (编辑), Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management., 7987458, Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management, Institute of Electrical and Electronics Engineers Inc., 页码 1178-1181, 15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017, Lisbon, 葡萄牙, 5/8/17. https://doi.org/10.23919/INM.2017.7987458

Allahem H, Sampalli S. Framework to monitor pregnant women with a high risk of premature labour using sensor networks. 在 Chemouil P, Simoes P, Madeira E, Secci S, Monteiro E, Gaspary LP, dos Santos CRP, Charalambides M, 编辑, Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 1178-1181. 7987458. (Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management). doi: 10.23919/INM.2017.7987458

Allahem, Hisham ; Sampalli, Srinivas. / Framework to monitor pregnant women with a high risk of premature labour using sensor networks. Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management. 编辑 / Prosper Chemouil ; Paulo Simoes ; Edmundo Madeira ; Stefano Secci ; Edmundo Monteiro ; Luciano Paschoal Gaspary ; Carlos Raniery P. dos Santos ; Marinos Charalambides. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 1178-1181 (Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management).

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Framework to monitor pregnant women with a high risk of premature labour using sensor networks

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