Biomedical Signal Analysis

生物医学信号分析

• 批准号: 1000228251-2012
• 负责人: Krishnan, Sridhar
• 金额: $ 3.64万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=642615
• 关键词: Biomedical; Signal; Analysis

Signals acquired non-invasively from humans possess important information about underlying physiological phenomenon. Processing and analysis of these biomedical signals will lead to better computer-aided diagnosis, monitoring and diagnostic tools, and will greatly help the clinical community in prognosis, treatment and prevention of health disorders. The CRC nominee in Biomedical Signal Analysis proposes to develop advanced and innovative signal analysis routines for enhancement of biomedical signals, and extraction of information rich features from sparse domains of the signals. The proposed signal analysis theories could be applied in a variety of applications, and the specific focus of the nominee will be in cardiovascular and assistive technologies. The proposed application has great potential to improve the quality of health and living of the Canadian population.

从人类非侵入性获取的信号拥有重要信息 关于潜在的生理现象。这些生物医学的处理和分析 信号将带来更好的计算机辅助诊断、监测和诊断工具，并将极大地帮助临床界预测、治疗和预防健康疾病。生物医学信号分析领域的 CRC 提名者建议开发先进和创新的信号分析例程，以增强生物医学信号，并从信号的稀疏域中提取信息丰富的特征。所提出的信号分析理论可以应用于各种应用，被提名者的具体重点将是心血管和辅助技术。拟议的应用程序具有改善加拿大人口健康和生活质量的巨大潜力。