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ABSTRACT Magnetite (Fe3O4) nanoparticles tend to self-assemble when they are deposited on a subst... more ABSTRACT Magnetite (Fe3O4) nanoparticles tend to self-assemble when they are deposited on a substrate and form a film. Our goal is to understand the magnetic order and magnetic interactions between the particles, when they are self-assembled. After bulk structural and magnetic characterizations previously presented, we have been studying our Fe3O4 nanoparticles by using soft X-ray Resonant Magnetic Scattering (XRMS) at synchrotron radiation facilities. This technique utilizes the interaction between magnetic spins and polarized light. [1] The resulting scattering patterns contain information about the magnetic order and magnetic fluctuations in the nanoparticles assembly. By studying the profile of the XRMS patterns, we try to extract the magnetic signal from the charge signal, and learn about the magnetic order between the nanoparticles. We also utilize the coherence of the X-ray light and apply a correlation spectroscopy technique to learn about magnetic fluctuations.
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Pulse oximeters are used worldwide as a non-intrusive way to monitor a patient's pulse and blood-... more Pulse oximeters are used worldwide as a non-intrusive way to monitor a patient's pulse and blood-oxygen saturation instantaneously. The purpose of this design is to examine the possibility of using a simple microcontroller to measure pulse and blood-oxygen saturation in real time, as well as the level of difficulty and learning curve associated with assigning such a task as a senior capstone design project. The circuit consists of a PIC18F452 microcontroller, transistor network, photoplethys-mogram amplifier (PPG), pulse oximeter probe, digital-to-analog converter (DAC), and an LCD screen to display results. Software is written in C++ for the microprocessor, which supports a limited C syntax. The project requires various engineering proficiencies such as signal processing, programming, circuitry, and microprocessors. Overall, the project is a good introduction to medical instrumentation and capstone design for undergraduate biomedical and electrical engineers.
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ABSTRACT Magnetite (Fe3O4) nanoparticles tend to self-assemble when they are deposited on a subst... more ABSTRACT Magnetite (Fe3O4) nanoparticles tend to self-assemble when they are deposited on a substrate and form a film. Our goal is to understand the magnetic order and magnetic interactions between the particles, when they are self-assembled. After bulk structural and magnetic characterizations previously presented, we have been studying our Fe3O4 nanoparticles by using soft X-ray Resonant Magnetic Scattering (XRMS) at synchrotron radiation facilities. This technique utilizes the interaction between magnetic spins and polarized light. [1] The resulting scattering patterns contain information about the magnetic order and magnetic fluctuations in the nanoparticles assembly. By studying the profile of the XRMS patterns, we try to extract the magnetic signal from the charge signal, and learn about the magnetic order between the nanoparticles. We also utilize the coherence of the X-ray light and apply a correlation spectroscopy technique to learn about magnetic fluctuations.
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Pulse oximeters are used worldwide as a non-intrusive way to monitor a patient's pulse and blood-... more Pulse oximeters are used worldwide as a non-intrusive way to monitor a patient's pulse and blood-oxygen saturation instantaneously. The purpose of this design is to examine the possibility of using a simple microcontroller to measure pulse and blood-oxygen saturation in real time, as well as the level of difficulty and learning curve associated with assigning such a task as a senior capstone design project. The circuit consists of a PIC18F452 microcontroller, transistor network, photoplethys-mogram amplifier (PPG), pulse oximeter probe, digital-to-analog converter (DAC), and an LCD screen to display results. Software is written in C++ for the microprocessor, which supports a limited C syntax. The project requires various engineering proficiencies such as signal processing, programming, circuitry, and microprocessors. Overall, the project is a good introduction to medical instrumentation and capstone design for undergraduate biomedical and electrical engineers.
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