ITR: Veterinary Telemedicine - Proactive Herd Health Management for Disease Prevention from Farm to Market

该项目正在建设传感器网络基础设施，以支持智能、移动医疗监测设备，持续评估集中和分布的牛群的健康状况。进行研究以开发和整合以下信息技术领域：-管理无线通信和优先处理重叠信号流的接收系统。-调度算法，自适应地确定数据分析应该发生在哪里，哪些领域需要更深入的分析。-搜索可能显示问题的数据模式的算法。-安全机制，对与个别农场有关的经济数据和牛群健康信息保密，同时提供具有统计有效性的流行病学数据。-低成本的系统组件（由财政不稳定的农民和生产者负担得起）。-用于生物医学传感器、GPS接收器和蓝牙设备的坚固包装和连接技术，可在恶劣环境中生存。该项目的实验部分使用耐用的小型传感器（例如，报告动物的身份、位置、温度、血压和其他生理数据），并在牛群聚集点（如饲料铺和饮水槽）附近安装符合蓝牙标准的监测站。这些监测站上传的数据来自附近的环境传感器、动物佩戴的具有全球定位功能的蓝牙设备，以及可穿戴/远程生物医学传感器。这些结果与以前的传感器数据、天气报告、天气预报、红外相机图像和先前的健康评估相结合。该项目正在开发初始算法，在将牧场的汇总数据上传到区域数据库之前，对本地数据进行快速分析，以便这些数据可以与其他生产者提供的数据相关联。然后，重大发现可以立即广播给适当的医务人员和制作人。监测系统将提高动物科学行业对疾病发病及其流行病学传播（如疯牛病、蹄口病）作出反应和预测的能力，无论是来自自然事件还是恐怖事件。趋势分析、信息存储和从这项工作中吸取的健康预测经验教训将立即应用于分布式医疗系统，以评估和预测人类健康状况和疾病在人群中的传播。这些联网嵌入式传感器系统对国土安全、兽医学、农业以及长期的人类医学和生活质量都有影响。

Andresen AbstractThis project is building sensor net infrastructure to support intelligent, mobile medical monitoring devices that continuously assess state of health in concentrated and distributed cattle herds. Research is conducted to develop and integrate the following areas of information technology: - Receiver systems that manage wireless traffic and prioritize overlapping signal streams. - Scheduling algorithms that adaptively determine where data analysis should occur and which areas require more in-depth analysis.- Algorithms that search for data patterns that may indicate problems.- Security mechanisms that maintain confidentiality of economic data and herd health information associated with individual farms, while providing epidemiological data of statistical validity.- Low cost system components (affordable by farmers and producers who may have tenuous financial stability).- Robust packaging and linking technology for biomedical sensors, GPS receivers, and Bluetooth-enabled devices for survival in difficult environments.The experimental component of the project uses durable, small sensors (e.g., to report animal identity, position, temperature, blood pressure, and other physiological data), with Bluetooth-compliant monitoring stations near cattle congregation points, such as feed bunks and watering troughs. These stations upload data from nearby environmental sensors, Bluetooth-enabled devices with global positioning capability that are worn by the animals, and wearable/remote biomedical sensors. These results are integrated with previous sensor data, weather reports, weather forecasts, infrared camera images, and prior health assessments. The project is developing initial algorithms to perform rapid analysis on local data prior to uploading summary data for the ranch to regional databases so that these data can be correlated with data provided by other producers. Significant findings can then be immediately broadcast to appropriate medical personnel and producers.Monitoring systems will improve the ability of the animal sciences industry to react to and predict disease onset and its epidemiological spread (e.g., mad cow disease, hoof and mouth disease), whether from natural or terrorist events. Trend analysis, information storage, and health prediction lessons learned from this effort will have immediate application to distributed medical systems targeted at assessing and predicting human state of health and the spread of disease in human populations. These networked embedded sensor systems have implications for homeland security, veterinary medicine, the agriculture industry, and in the long term, human medicine and quality of life.