Capstone Project

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Group 2018-20 Status completed
Title SensoMetrix; a standardized framework for integrating data from biosensors into brain and behavior studies
Supervisor N. Khalili-Mahani and H. Benali
Description The students will design and implement a software platform to help scientists use data from various biosensors to conduct brain/behavior research. Students will work with realdata and will be able to evaluate, improve or re-build on our prototype, SensoMetrix, used for data normalization and management. In particular, we want to create a database of 'simulated' electro/physiological signals; develop signal processing tools that allow us to characterize those signals; make sure our tools are working well (by running them on simulated signals); and then test them in real data. This would be a reverse-engineering kind of an exercise: we reverse engineer the body's physiological control system. If students advance quickly in this first task, the project may be extended and they students may design a control system to emulate a "brain" circuit that modulates a particular physiological signal. The framework will ideally accommodate: • A data conversion script to turn arbitrary multi-channel physiological data into predefined formats. (Already existing) • A user interface to help the data analysis and visualization workflow (partially exists) • A simulated dataset as a test-case to validate accuracy of pre-defined parametrization metrics for evaluation of SNR and entropy in the data (to be generated).
Requirement The team must include students who have successfully completed courses in digital signal processing or control systems. Proficiency in object-oriented Matlab programming and Javascript is important.Familiarity with Python, R and Intrnet of Things is desirable
Tools Students may visit PERFORM Centre and collect data from our existing equipment; but they are welcome to curate other data sources. Students must have access to personal computers and Matlab. Students must be willing to use Github for project management and code-sharing.
Number of Students 3-5
Students Niroigen Suntharam Ajevan Nadarajah Sharmilan Saravanpa Darnell King-Richards Al-Khoury,Andre
Comments: Email: habib.benali@concordia.ca; Najmeh.khalili-mahani@concordia.ca Room: PC2.207 Tel: 848-2424 ext. 5370
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