This course will explore, from an engineering perspective, the physiological origins and characteristics of signals that are used medically to monitor patient functions and scientifically to study biomedicall systems. The signals will include arterial blood pressure, intracranial pressure, electrocardiogram, electroencephalogram, electromyogram, peripheral nerve action potentials, and pulse oximetry. Topics will include physiological signal generators, instrumentation, signal processing, and modeling of biological systems. The format will include lectures, lab demonstrations, and visits to clinical facilities. Assessment will be based on projects.

Modeling and analysis of feedback systems using operational amplifiers. Op-amp dc
effects and limitations. Op-amp ac effects and limitations. Linear Circuits. Comparators. Oscillators. Active filters. Rectifier, diode, and power circuits. ADC and DAC conversion.

Fourier series and transforms. System noise sources anddefinitions. Amplitude, frequency, and phase modulation. Digital modulation techniques
such as FSK, PSK, and QPSK.

Semiconductor physics. Linear small-signal equivalent circuit models. Design and analysis of transistor amplifiers, n-channel, p-channel, JFET, MOSFET, npn, pnp, common source, source follower, common-emitter, emitter follower, differential. Input impedance, output impedance, gain. BJT and FET current mirrors. Fundamentals of analog IC design principles. Midband frequency operation.

This course covers programming fundamentals for scientists and engineers using MATLAB/Octave and LabVIEW.

This course covers the fundamentals of how to read patent applications, conduct prior-art searchers, draft patent specifications, understand the different types of patents, and learn how to draft provisional patent applications (PPA) and regular patent applications (RPA) for utility patents. The course also covers the fundamentals of IP strategy.