基于Android的医疗信息传感器

核心提示：pneumography."分层结构的最底层，即安装在用户四肢和躯体上的传感器，基于Android的医疗信息传感器(3)，可以收集具有多个参数的数据：3轴的运动传感(使用三轴加速器和两轴陀螺仪)，心电图，通过加入位置，时间以及空气质量等信息，空中悬浮微粒物质，以及描述呼吸运动的阻抗充气造影

pneumography."

分层结构的最底层，即安装在用户四肢和躯体上的传感器，可以收集具有多个参数的数据：3轴的运动传感(使用三轴加速器和两轴陀螺仪)，心电图，空中悬浮微粒物质，以及描述呼吸运动的阻抗充气造影。

To reduce the frequency with which these sensors must communicate with the user's smartphone (and the volume of information they have to transmit) these sensors are capable of basic signal-processing algorithms across a programmer-definable time period, including minimum, maximum, average and mean values for any particular parameter.

为了减少传感器与用户的智能手机之间必须通信的频度(以及传输的数据量)，这些传感器都会在程序员预订的时间内执行一些基本的信号处理算法，包括对特定参数的最小化，最大化，算术平均指和均值计算。

Two types of sensors were used, one, known as the TelosB, is about the size of a USB thumb drive, and sports a Texas Instruments processor often found in embedded applications and 10k of integrated RAM. The other, Intel's SHIMMER sensor, runs the TinyOS operating system designed specifically for remote sensors, weighs only 15 grams and is not much bigger than a quarter.

系统使用了两种传感器，一种被称为TelosB的传感器，有优盘大小，搭载了具有10k RAM的经常在嵌入式应用中出现的TI的处理器;另一种是Intel的SHIMMER传感器，搭载为远程传感器使用的TinyOS操作系统，仅重15g并且和一个硬币大小类似。

Led by Edmund Seto of the School of Public Health at UC Berkeley, the researchers involved were able to further integrate data gathered from the wireless sensors with data gathered by the phones themselves. By combining location, time of day and air-quality data, for example, the researchers were able to create maps of user's days that highlight the places and times when they were exposed to greatest levels of air pollution.

由UC Berkely公共健康系的Edmund Seto领导的该项目中，参与的研究人员进一步将手机收集到的无线传感器发送的数据补充完整。通过加入位置，时间以及空气质量等信息，研究者可以创建用户一天运动的地图并强调出其中用户暴露在严重空气污染的位置和时间。