Biomedical Signal Processing
Ευάγγελος Δερματάς
Περιγραφή
This course will provide introductory knowledge of the nature of typical biomedical signals, providing their origins, characteristics, typical interferences and noise sources. Clinical and biomedical problems are presented giving the most popular tools to analyse and evaluate current signal processing solutions, proposing also alternative designs.
Practical experience of applying signal processing methods to patient data improve students ability to critically analyse different signal processing approaches, identifying their strengths and limitations
Λιγότερα This course will provide introductory knowledge of the nature of typical biomedical signals, providing their origins, characteristics, typical interferences and noise sources. Clinical and biomedical problems are presented giving the most popular tools to analyse and evaluate current signal processing solutions, proposing also alternative designs.
Practical experience of applying signal processing methods to patient data improve students ability to critically analyse different signal processing approaches, identifying their strengths and limitations
This course will provide introductory knowledge of the nature of typical biomedical signals, providing their origins, characteristics, typical interferences and noise sources. Clinical and biomedical problems are presented giving the most popular tools to analyse and evaluate current signal processing solutions, proposing also alternative designs.
Practical experience of applying signal processing methods to patient data improve students ability to critically analyse different signal processing approaches, identifying their strengths and limitations