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

ITR：兽医远程医疗 - 主动牛群健康管理，预防从农场到市场的疾病

• 批准号: 0205487
• 负责人: Daniel Andresen
• 金额: $ 10.7万
• 依托单位: Kansas State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2004-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0205487&HistoricalAwards=false
• 关键词: ITR; Veterinary; Telemedicine; Proactive; Herd

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.

Andresen摘要该项目正在建立传感器网络基础设施，以支持智能的、移动的医疗监测设备，这些设备可以连续评估集中和分散的牛群的健康状况。 进行研究，以开发和整合信息技术的以下领域：-接收器系统，管理无线流量和优先级重叠的信号流。- 调度算法，自适应地确定数据分析应该在哪里进行，以及哪些领域需要更深入的分析。搜索可能表明问题的数据模式的算法。安全机制，保持与各个农场相关的经济数据和牛群健康信息的机密性，同时提供统计有效性的流行病学数据。低成本系统组件（农民和生产者负担得起，他们可能有脆弱的财务稳定性）。生物医学传感器、GPS接收器和蓝牙设备的坚固封装和连接技术，可在困难环境中生存。该项目的实验部分使用耐用的小型传感器（例如，报告动物身份、位置、体温、血压和其他生理数据），在牛群聚集点附近（如饲料槽和饮水槽）设有符合蓝牙标准的监测站。 这些站从附近的环境传感器、动物佩戴的具有全球定位能力的蓝牙设备以及可穿戴/远程生物医学传感器上传数据。这些结果与先前的传感器数据、天气报告、天气预报、红外摄像机图像和先前的健康评估相结合。该项目正在开发初步算法，以便在将牧场的汇总数据上传到区域数据库之前对当地数据进行快速分析，从而使这些数据能够与其他生产者提供的数据相关联。监测系统将提高动物科学行业应对和预测疾病发作及其流行病学传播的能力（例如，疯牛病、口蹄疫），无论是自然灾害还是恐怖事件。从这项工作中获得的趋势分析、信息存储和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。 这些网络化的嵌入式传感器系统对国土安全、兽医、农业以及长期的人类医学和生活质量都有重要意义。