基于Android的医疗信息传感器

核心提示：competition将锻炼和日常活动转换为Foursquare风格的竞赛Allow users to avoid locations and times of day when air pollution is worst使用户可以避开空气污染最严重的地区和时间The technology (pdf) is desc

competition

将锻炼和日常活动转换为Foursquare风格的竞赛

Allow users to avoid locations and times of day when air pollution is worst

使用户可以避开空气污染最严重的地区和时间

The technology (pdf) is described in a paper to be delivered in late June at the 2010 International conference on Pervasive technologies for assistive environment in Samos, Greece. It outlines a hierarchy of processing steps that make 24/7 monitoring of vital signs (such as breathing and heart rate) realistic given the battery life issues and bandwidth constraints of mobile phones

文章描述了这种技术将在2010年7月底的希腊Samos辅助环境的普适计算会议(International conference on Pervasive technologies for assistive environment)上展示。它描绘了一个分层的处理流程，使得存在电池寿命和带宽限制问题的24*7生命体征监控成为现实。

DexterNet三层架构系统的演示硬件，通信及软件实现。

This hierarchy, known as DexterNet, includes sequential processing at each level of the hardware involved: the sensors, known as the body sensor layer, the smartphone or personal network layer, and finally in the "cloud" or global network layer that backs up and does final processing of all of the user's data. The purpose of in-device processing in each layer is the reduction of the amount of information transmitted wirelessly between each device.

被命名为DexterNet分层架构，硬件中每一层的连续处理过程包括：传感器(被称为身体传感器层)，智能手机或者个人网络层，最终对用户数据备份以及处理的“云”层或全球网络层。信息在设备中处理的目的压缩需要无线传输的数据量。

The lowest level of this hierarchy, individual sensors on the user's limbs and torso, can gather data on a number of parameters: motion in 3 axes (realized with a three-axis accelerometer and a two-axis gyroscope), heart ECG, levels of airborne particulate matter, and, for breathing movements, "electrical impedance