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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Biomedical

California Polytechnic State University, San Luis Obispo

Electrical Engineering

2015

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Permanent Magnet Display System, Xenia Leon Rodriguez Jun 2015

Permanent Magnet Display System, Xenia Leon Rodriguez

Electrical Engineering

Pacemakers can malfunction when exposed to high magnetic fields. This becomes especially problematic for patients with pacemakers who need MRI scans as MRI machines can subject the pacemaker to damaging magnetic fields. St.Jude Medical, one of the leading biotech companies, is working to make their pacemakers MRI-safe. In order to test their MRI-safe pacemaker designs, they need an automated test apparatus that will collect and report the magnetic field the pacemaker is being exposed to. This report describes the design of such a test system that reads the Tesla intensity the pacemaker is exposed to and wirelessly transmits the data …


An Iris Authentication System Based On Artificial Neural Networks, Brenden Velu Jun 2015

An Iris Authentication System Based On Artificial Neural Networks, Brenden Velu

Electrical Engineering

An iris authentication system verifies the authenticity of a person based on their iris features. The iris features are extracted through wavelet transform of the isolated iris from modified iris images. A level 5 wavelet decomposition is performed on the images, and the resulting low-frequency wavelet coefficients represent the inputs to the artificial neural network. The artificial neural network reads these features as inputs, and classifies each set of inputs according to their target identity. This authentication system currently classifies up to 10 people. The irises used for classification represent ideal situations with minimum eyelash and eyelid interference.


Large Dynamic Range Amplifier Plus Adc, Ted Hsueh Jan 2015

Large Dynamic Range Amplifier Plus Adc, Ted Hsueh

Electrical Engineering

Nerve and muscle signal sampling proves difficult because of the large difference in magnitudes. Muscle signals loom a hundred or even a thousand times bigger and can hide the nerve signals. The Large Dynamic Range Amplifier plus Analog to Digital Converter (ADC) allows one device to retrieve both muscle and nerve signal information. The device has two parts: the ability to take high-resolution data from tenths of microvolts to several millivolts and filter out environmental noise, such as 60 Hz of electrical power lines or electro galvanic signals. This gives the ability to read muscle and nerve signals using one …