Andrea Cossettini: Catalogue data in Autumn Semester 2022

Name	Dr. Andrea Cossettini
Address	Dep. Inf.techno.u.Elektrotechnik ETH Zürich, OAT U 27 Andreasstrasse 5 8092 Zürich SWITZERLAND
Telephone	+41 79 784 04 38
E-mail	cosandre@iis.ee.ethz.ch
Department	Information Technology and Electrical Engineering
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
227-0085-57L	Projects & Seminars: Wearable Ultrasound: Tools and Technologies Only for Electrical Engineering and Information Technology BSc. The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.	2 credits	2P	A. Cossettini
Abstract	The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
Learning objective	Ultrasound is one of the most used medical imaging techniques and it enables many applications, including the monitoring of musculoskeletal activity during movement, the imaging of carotid artery, and the control of prosthetic devices for human-machine interfaces. Recent developments showcased wearable ultrasound probes operating at minimal power consumption, enabling multi-day continuous monitoring of physiological parameters, and many companies and research centers are actively working on the development of the next generation of truly-wearable ultrasound for a number of monitoring and diagnostics applications. To sustain such recent developments, it is important to be familiar with all sub-components (hardware and software) of such biomedical systems. The goal of this course is the development of the main skills required for successfully developing a wearable ultrasound probe. The students will learn about ultrasound basics, transducer control, analog front-end/analog-to-digital converter configurations, signal processing for ultrasound, beamforming and generation of images, microcontroller-based wireless communication, and practical procedures for performing ultrasound experiments. The course will also introduce the students to Python (applied to ultrasound signal processing) and to Nordic (nRF52 family) microcontrollers. The course will be taught in English.
Content	Ultrasound is one of the most used medical imaging techniques and it enables many applications, including the monitoring of musculoskeletal activity during movement, the imaging of carotid artery, and the control of prosthetic devices for human-machine interfaces. Recent developments showcased wearable ultrasound probes operating at minimal power consumption, enabling multi-day continuous monitoring of physiological parameters, and many companies and research centers are actively working on the development of the next generation of truly-wearable ultrasound for a number of monitoring and diagnostics applications. To sustain such recent developments, it is important to be familiar with all sub-components (hardware and software) of such biomedical systems.