Signal processing based psychophysiological data analysis and ailment prediction for sport training

各种各样的移动应用程序已经被引入健康和健身管理市场。这些应用程序允许用户记录他们的健康相关数据。然而，他们目前还没有先进的技术和分析工具来阐述数据中隐藏的关系，更不用说预测运动员可能出现的疾病、损伤和倦怠风险（统称为“疾病”风险）。****这项研究是瑞尔森大学和RightBlue实验室的合作成果，利用先进的统计分析、信号处理和机器学习：(i)调查心理生理数据之间的关系，包括测量的心理、活动和生理数据，以及各种已知的健康/表现指标；（ii）开发一套分析算法来预测/监测运动员的健康状况，评估运动员的疾病、损伤和倦怠风险（疾病风险），并有可能将这些发现推广到普通人群。****本研究的理论和应用开发将为具有强大商业应用重点的移动健康监测和咨询系统奠定坚实的技术基础，并为未来的研究提供坚实的框架，有用的指南和经过测试的算法。该合作项目将帮助瑞尔森大学培养高素质人才，发展健康管理研究和大数据分析方面的先进专业知识，并帮助RightBlue Labs和加拿大相关行业建立和保持市场优势。****

A variety of mobile applications have been introduced to market for health and fitness management. These applications allow users to record their health related data. However, they do not currently possess advanced technology and analytical tools to elaborate the hidden relationship in the data, let alone to forecast the possible illness, injury, and burnout risk in athletes (collectively known as "ailment" risks).****This research is a collaborative effort between Ryerson University and RightBlue Labs to utilize advanced statistical analysis, signal processing, and machine learning to: (i) investigate relationships between psychophysiological data, including measured psychological, activity, and physiological data, and various known health/performance indicators; and (ii) develop a set of analytical algorithms to predict/monitor health status and assess illness, injury, and burnout risks in athletes (ailment risks), with the potential to extend these findings to the general population.****Theory and application development from this research will build a strong technology foundation for mobile health monitoring and consultation systems with a strong commercial application focus, and provide a solid framework, useful guidelines, and tested algorithms for future research. This collaborated project will help Ryerson University to train highly qualified personnel and develop advanced expertise in health management research and big data analytics, and help RightBlue Labs and related Canadian industries to build and sustain market advantages.****