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\def\classTime{{"Mondays/Wednesdays from 01:30 pm to 02:45 pm Location: CEER 212",""}}
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\def\classInstructor{{"Meltem Izzetoglu, PhD. Email: mizzetog@villanova.edu",""}}
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\def\classInstrOffHrs{{"Wednesdays, 11:00am-1:00pm,",""}}
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\newcommand\semester{Spring 2022}
\newcommand\rsemester{202230}
\newcommand\courseNum{ECE 5251}
\newcommand\courseName{Biomedical Signal Processing}
\newcommand\courseCoordinator{Meltem Izzetoglu}
\newcommand\credits{3}
\newcommand\contactHrs{3}
\newcommand\lecture{1}
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\newcommand\meetingDesc{Example: (Two 75-minute lectures)}
\newcommand\meetingMisc{Special notes on meeting info go here, if specified}
\newcommand\instructorMisc{Special notes on instructor(s), TA(s) go here, if specified}
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\newcommand\supplMaterials{(Recommended but not required): \\
•	Bronzino J. Ed. Biomedical Engineering Handbook, Boca Raton, Fl:CRC Press, 2000. \\
•	Tompkins W.J., Ed. Biomedical Digital Signal Processing, Englewood Cliffs, NJ: Prentice Hall, 1993.
•	Cohen A., Biomedical Signal Processing, Boca Raton, Fl:CRC, 1986. \\
•	Akay M., Biomedical Signal Processing, NY: Academic Press, 1994. \\
•	Lathi B.P., Linear systems and signals, Berkeley-Cambridge Press, 1992. \\
•	Haykin S, Van Veen B., Signals and Systems,  John Wiley and Sons, 2005. \\
•	McClellan J.H., Schafer R.W., Yoder M.A., Signal Processing First, Prentice Hall, 2003. \\
•	Oppenheim A.V \& Willsky A.S. with Young I.T., Signals and Systems, Englewood Cliffs, NJ: Prentice Hall, 1983. \\ 
•	Hsu, Schaum’s Outline on Signals \& Systems, McGraw Hill,1995. \\
•	Hayes, Schaum’s Outline on Digital Signal Processing, McGraw Hill,1998. \\
\\
•	Course Notes by Dr. Kevin Buckley – Available on the course Web page
}
\newcommand\refPapers{References go here, if specified}
\newcommand\textBookMisc{Special notes on textbook(s) go here, if specified}
\newcommand\catalogDesc{Signal processing of biomedical signals. Cardiac, neurological, \& electromyographic signal processing. Biomedical signal filtering, frequency analysis, spectrum estimation \& physiological information extraction.}
\newcommand\preReqs{ECE 3225 or ECE 3245 or EGR 2021}
\newcommand\coReqs{None}
\newcommand\coreRequirement{Elective for B.S. Electrical Engineering, B.S. Computer Engineering, Biomedical Track and Biomedical Engineering Minor}
\newcommand\courseExpectation{This course introduces the theory and practices of signal processing and system analysis with applications to biomedical fields. Fundamental topics covered are time and frequency domain analysis, preprocessing including filter design, power spectrum and time-frequency analysis including spectrogram, feature extraction, diagnostic testing, statistical analysis and clustering algorithms. Application examples and computer implementations will constitute an integral part of the learning process including electrocardiogram signals, pulse plethysmography, electroencephalogram, electromyography, near infrared spectroscopy. \\
\textbf{Course Objectives:} \\
1.Students will have a better understanding of the theory and methods of  \\
a. Biomedical signals, origins, data collection and analysis methods \\
b. Signal conditioning, and information extraction \\
2. Students will learn pre- and post-processing steps in biomedical applications \\
3. Students will, through examples, have exposure to basic biomedical signal processing applications. 
}
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\newcommand\covTopics{\item Overview of signals, systems and transform techniques 
\item Signal acquisition and modeling
\item Filtering and artifact removal
\item Information extraction in Time, Frequency \& Time-Frequency domains
\item Statistical analysis via Hypothesis testing
\item Pattern recognition and Clustering}
\newcommand\isScheduleExternal{0}
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\newcommand\schedule{\begin{table}[h!] \centering 
\caption*{Tentative Schedule for \textbf{All Sections}} \vspace{0.05in}
{\renewcommand{\arraystretch}{1.5} \small
\begin{tabularx}{\linewidth}{c|l}
\toprule
\large \textbf{Week} & \large \textbf{Content}\\
\midrule \midrule
1-2 & Overview of biomedical signals \& acquisition, Workshop 1, Quiz 1\\
3-4 & Overview of signals \& systems operations, Workshop 2, Quiz 2
\\
5-7 & Overview of transformation techniques, Workshop 3, Quiz 3\\
8-9 & Filter design for artifact removal, Workshop 4, Quiz 4\\
10-11 & Feature extraction in different domains, Workshop 5, Quiz 5\\
12-14 & Statistical analysis \& Pattern recognition, Workshop 6, Quiz 6\\
15 & Term Project, Reporting \& Presentations\\
\bottomrule \end{tabularx} } \end{table}}
\newcommand\gradingPolicy{Your final grade will be determined from the following: \\
•	Homework Assignments and Computer Workshops (50\%) \\
•	Quizzes (25\%)  \\
•	1 Term Project Report and Presentation (25\%) \\
\\
\\
Letter grade scale: A(93--100), A--(90--92), B+(87--89), B(83--86), B--(80--82), C+(77--79),\\
C(73--76), C--(70--72), D+(67--69), D(63--66), D--(60--62), F(<60)}
\newcommand\HWandLabPolicy{\textbf{Homework and Workshops:} Homework assignments and computer workshops will be due back on the following week after they are assigned. Late penalty will be applied on each of the late days following the due date, 10 points will be taken out of the overall grade received.
\textbf{Quizzes:} There will be in class quizzes around every other week related with the covered material in class. No make-up quizzes will be given. Instead, the percentage of the grade associated with each quiz missed will be added to the term project percentage.
\textbf{Term Project:} There will be one term project assigned after spring break which will be comprehensive requiring the use of topics learned within the class. Students will prepare a report on their term project and present their work during finals week. 
\textbf{Miscellaneous (please read this carefully!)} \\
Please note that group study for working out solutions to homework problems is acceptable, and helpful to many students. However, the homework and Workshop reports you turn in should be written out on your own, and not copied verbatim from another student's work or from the material found Online. It should reflect your understanding of the material. Homework or Reports which are turned in and found to be verbatim copies of each other will be given zero credit, regardless of which is the original work. All work on an exam is to be entirely on your own.
}
\newcommand\AttendancePolicy{Attendance is mandatory. Lab instructions and help will be provided in class sessions. 
\\
\\
Where possible, students should inform their instructors if they plan to be late or absent from class. In all cases, students should be prepared to provide documentation to petition for excused absences to the Associate Dean for Student and Strategic Programs, Dr. Stephen Jones. Students should use the form for requesting an excused absence. Excused absences do not count toward a failure in the course for first year students. Absence from class does not release the student from work assigned. Students who miss an in-class obligation (exam, presentation, etc.) due to an excused absence will not be penalized - the instructor may offer a make-up test, arrange an alternative time for a presentation, exempt a student from the assignment, or provide another arrangement. In the case of illness or injury, the form must be submitted within 24 hours of missing class.
}
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