We are living in a transformative era where novel sensors and biomedical devices are revolutionizing our lives from every perspective: emerging implantable medical devices can now treat and regulate diseases that cannot be cured by medications; intelligent sensors are being integrated into modern vehicles to enable autonomous driving and improve our safety. It is estimated that over one trillion sensors are being used today around the world, connecting us through a massive internet of things (IoT). Integrated circuits (ICs) play an essential role in interfacing with these devices to realize their functionalities and fulfill their potential.
This course will introduce the design methodology for key IC blocks for sensors and biomedical devices. We will discuss topics including energy-efficient subthreshold circuits model and design, low-noise instrumentational circuits, dynamic noise and offset cancellation techniques, low-power data converters, low-power machine learning and system integration. We will cover IC design examples, such as biopotential amplifiers, CMOS image sensors, brain-machine interfaces (BMIs), photodetectors and LiDAR interface, DNA and protein detectors, MEMS sensor and actuator interfaces.
This course will introduce undergraduate engineering students to the fundamental principles of neuromodulation and its clinical implementation. The lectures have been structured to provide students with a basic understanding of the technological as well as the therapeutic aspect of neuromodulation and includes key aspects of neurotechnology including ‘introduction to electrical-neural interfaces’, ‘fundementals of signal processing’ and ‘instrumentation for neuromodulation devices’. The lab component will include hands-on measurement of body surface potentials as well as observational visits to pre-clinical labs that use neuromodulation in the treatment of neurological disorders. The course also includes guest lectures by subject-matter experts in the field.
Upon completing this course, students will be able to:
This course covers transistor amplifiers including differential and multistage amplifiers, integrated circuit biasing techniques, output stage design and IC amplifier building blocks. Frequency response of amplifiers at low, medium and high frequencies. Feedback amplifier analysis. Stability and compensation techniques for amplifiers using negative feedback.
Upon completing this course, students will be able to:
An overview of the physics of electricity and magnetism: Coulomb’s law, Gauss’ law, Ampere’s law, Faraday’s law, Lenz’s law, and Ohm’s law. Physics of capacitors, resistors, and inductors. An introduction to circuit analysis: resistive circuits, nodal and mesh analysis, linearity and superposition, Thévenin’s and Norton’s theorems, maximum power transfer, first-order RC and RL transient response, and sinusoidal steady-state analysis.
In this course, students will: