NDLI: An Efficient Data Gathering System for Home Medical Treatment

Content Provider	IEEE Xplore Digital Library
Author	Jen-Chu Liu Kuo-Yu Chuang Yi-Lun Wen
Copyright Year	2012
Abstract	With the widely used of wellness self-management devices, more and more services provide people up-to-date wellness information such as blood pressure, SpO2, rate of heartbeat, etc. How to gather these data more efficiently is an important issue. Moreover, these data may be combined with the information of geographic location. the data gathering system need to deal with GIS-based information. We had proposed an innovated sensor observation service with web-based and GIS-based architecture, which is named WSN Application Service Platform (WASP) [25]. Then, we proposed a flexible SWE-based Data Observation and Event Notification Framework on Social Networks for smart home applications [26] based on WASP. All sensors and devices provide their location information to data center and form a community. in this paper, we continue the frameworks that have proposed in [25] and [26]. We design an efficient platform to gather the wellness data from devices through wireless networks automatically. We also proposed an scheme can saving more power and bandwidth. Moreover, these wellness information can be shown immediately on social networks in specified groups. the proposed data gathering system is helpful and efficient for home medical treatment.
Starting Page	460
Ending Page	463
File Size	692306
Page Count	4
File Format	PDF
ISBN	9781467321389
DOI	10.1109/ICGEC.2012.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Data Gathering Web services Social network services Medical treatment Computer architecture Bandwidth Geospatial analysis Wellness Selfmanagement WASP
Content Type	Text
Resource Type	Article

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