Processing of wearable sensor data on the cloud - a step towards scaling of continuous monitoring of health and well-being

被引：29

作者：

Jit, Biswas ^{[1
]}

Maniyeri, Jayachandran ^{[1
]}

Gopalakrishnan, Kavitha ^{[2
]}

Louis, Shue ^{[3
]}

Eugene, Phua Jiliang

Palit, Henry Novianus ^{[1
,4
]}

Siang, Foo Yong ^{[4
]}

Seng, Lau Lik ^{[4
]}

Li Xiaorong ^{[4
]}

机构：

[1] Agcy Sci Technol & Res, Inst Infocomm Res, Dept Networking Protocols, Singapore, Singapore

[2] Agcy Sci Technol & Res, Inst Infocomm Res, Dept Data Mining, Singapore, Singapore

[3] Agcy Sci Technol & Res, Inst Infocomm Res, Dept Signal Proc, Singapore, Singapore

[4] Agcy Sci Technol & Res, Adv Comp Programme Inst High Performance Comp, Singapore, Singapore

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5627906

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

As part of a sleep monitoring project, we used actigraphy based on body-worn accelerometer sensors to remotely monitor and study the sleep-wake cycle of elderly staying at nursing homes. We have conducted a fifteen patient trial of a sleep activity pattern monitoring (SAPM) system at a local nursing home. The data was collected and stored in our server and the processing of the data was done offline after sleep diaries used for validation and ground truth were updated into the system. The processing algorithm matches and annotates the sensor data with manual sleep diary information and is processed asynchronously on the grid/cloud back end. In this paper we outline the mapping of the system for grid / cloud processing, and initial results that show expected near-linear performance for scaling the number of users.

引用

页码：3860 / 3863

页数：4