Biomedical Signal Analysis

非侵入性地从人类获得的信号具有重要的信息 潜在的生理现象。处理和分析这些生物医学 这些信号将导致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。拟议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。拟议的应用程序有很大的潜力，以提高加拿大人口的健康和生活质量。

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.