Biomedical Signal Analysis and System Identification

生物医学信号分析和系统识别

• 批准号: 1051-2013
• 负责人: Kearney, Robert
• 金额: $ 2.11万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568166
• 关键词: Biomedical; Signal; Analysis; System; Identification

This research seeks to develop algorithms and tools for the analysis and identification of biomedical signals and systems. The problems addressed are motivated and defined by the requirements of biological research but the focus of the research is on the development and validation of practical tools and algorithms, rather than investigating specific biological questions. Problems from two biomedical areas will be addressed. (1) Identification methods to study the control of posture and movement. The objective is to provide the tools needed to characterize the dynamic, mechanical properties of joints during normal daily function and understand the underlying mechanisms. This is essential to understand both normal and pathological motor function and will have important practical results for the diagnosis of motor abnormalities, the quantitative assessment of treatment, and the design of advanced assistive devices such as prostheses and orthoses. (2) Automated signal analysis for pediatric cardio-respiratory function monitoring. It is known that respiratory and cardiac behavior contains information that could aid in the management of respiratory problems, such as apnea of prematurity and the extubation of infants from mechanical ventilation can safely terminated. However, application of this information is hampered by the need for manual data analysis. This is expensive, time consuming and inaccurate. We will address this issue by developing a fully automated system for the analysis of cardio-respiratory signals and combine these with machine learning techniques to predict the probability that an infant will encounter an adverse respiratory event.

本研究旨在开发用于分析和识别生物医学信号和系统的算法和工具。解决的问题是由生物学研究的需求所激发和定义的，但研究的重点是开发和验证实用工具和算法，而不是调查具体的生物学问题。将讨论两个生物医学领域的问题。