In this paper, we present a work in progress of a novel tablet-based Android application for a mu... more In this paper, we present a work in progress of a novel tablet-based Android application for a multi-modal seizure detection system platform. We first provide an overview of the multi-modality platform and then detail the usage of the Android application, including a description of its features. We then present preliminary results of the platform's holistic performance, including the app.
In this paper, we present a work in progress of a novel tablet-based Android application for a mu... more In this paper, we present a work in progress of a novel tablet-based Android application for a multi-modal seizure detection system platform. We first provide an overview of the multi-modality platform and then detail the usage of the Android application, including a description of its features. We then present preliminary results of the platform's holistic performance, including the app.
We report on the initial development of a multi-modality wireless sensor platform for epileptic s... more We report on the initial development of a multi-modality wireless sensor platform for epileptic seizure detection using a microcontroller. Our platform approach adds sensors to detect physiological changes due to the clinical manifestation of a seizure activity to improve upon the accuracy of embedded implementations of a seizure detection system based solely upon EEG signals. Thus far, the platform prototype incorporates three sensors - a galvanic skin response (GSR) sensor, temperature sensor, and rotational sensor - to test the feasibility of gathering and subsequently transmitting multiple sensor data via Bluetooth wireless for further processing.
We present a work in progress of a single-channel electroencephalograph (EEG) system used in a mu... more We present a work in progress of a single-channel electroencephalograph (EEG) system used in a multiple modality platform for epileptic seizure detection. This system consists of an EEG amplifier circuit that provides signal gain and filtering and a myDAQ unit that both simulates and acquires EEG signals which is controlled by a LabVIEW graphical program that performs feature extraction and signal classification. We describe the desired performance for the amplifier circuit and present preliminary measurement results and output examples from the amplifier circuit and LabVIEW program.
This work-in-progress paper describes a freshman engineering design course that incorporates codi... more This work-in-progress paper describes a freshman engineering design course that incorporates coding and manufacturing engineering concepts through an autonomous robot vehicle project. The course itself is part of a three-course engineering design sequence that introduces incoming freshman engineering students to the fundamental concepts of engineering design that will be applied throughout their undergraduate engineering education. The project’s learning objectives are that students will be able to successfully integrate digital and physical design, develop a navigation algorithm, and implement it in Arduino C, in order to allow an autonomous robot vehicle to successfully navigate a course. Students use modern, industry-standard fabrication and prototyping tools in the design process, and demonstrate a working autonomous robot vehicle, including student-designed, 3D-printed protective components. Two faculty instructors with backgrounds in mechanical and manufacturing engineering an...
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
This work introduces a charge recovery comparator circuit for low-power, low-frequency applicatio... more This work introduces a charge recovery comparator circuit for low-power, low-frequency applications. For the first time, the principles of charge recovery logic, or adiabatic logic, are applied to an analog circuit. The comparator is designed and simulated in a 180 nm technology and compared to state of the art solutions. Post-extraction simulations show that the proposed comparator consumes only 46 fJ per conversion in the nominal PVT corner, while having a total area of 45 μm2. The proposed comparator consumes up to 70 % less power than a state of the art dynamic latch comparator.
This paper investigates the integration of optoelectronic devices with CMOS to implement reconfig... more This paper investigates the integration of optoelectronic devices with CMOS to implement reconfigurable threshold logic gates for Boolean functions. The weight of the optoelectronic device can be altered by changing the optical power which is used to reconfigure the threshold logic (TL) gate. These novel reconfigurable gates are called the optoelectronic capacitor based TL (OECTL) gates. The OECTL gates are designed for i) simplistic AND/NAND gates and OR/NOR gates with large fan-in and ii) linearly separable Boolean functions that can be reconfigured to other linearly separable Boolean functions, constrained in reconfiguration by the specifics of TL operation. SPICE simulations in 65nm bulk CMOS technology with a Verilog-A model for the optoelectronic capacitor demonstrate i) AND/NAND gates and OR/NOR gates are 2× faster as fan-in goes above 3 and consumes low power and ii) Boolean functions can be reconfigured with 0.58× smaller delay and 0.46× less power of standard CMOS design.
In this paper, we present a work in progress of a novel tablet-based Android application for a mu... more In this paper, we present a work in progress of a novel tablet-based Android application for a multi-modal seizure detection system platform. We first provide an overview of the multi-modality platform and then detail the usage of the Android application, including a description of its features. We then present preliminary results of the platform's holistic performance, including the app.
In this paper, we present a work in progress of a novel tablet-based Android application for a mu... more In this paper, we present a work in progress of a novel tablet-based Android application for a multi-modal seizure detection system platform. We first provide an overview of the multi-modality platform and then detail the usage of the Android application, including a description of its features. We then present preliminary results of the platform's holistic performance, including the app.
We report on the initial development of a multi-modality wireless sensor platform for epileptic s... more We report on the initial development of a multi-modality wireless sensor platform for epileptic seizure detection using a microcontroller. Our platform approach adds sensors to detect physiological changes due to the clinical manifestation of a seizure activity to improve upon the accuracy of embedded implementations of a seizure detection system based solely upon EEG signals. Thus far, the platform prototype incorporates three sensors - a galvanic skin response (GSR) sensor, temperature sensor, and rotational sensor - to test the feasibility of gathering and subsequently transmitting multiple sensor data via Bluetooth wireless for further processing.
We present a work in progress of a single-channel electroencephalograph (EEG) system used in a mu... more We present a work in progress of a single-channel electroencephalograph (EEG) system used in a multiple modality platform for epileptic seizure detection. This system consists of an EEG amplifier circuit that provides signal gain and filtering and a myDAQ unit that both simulates and acquires EEG signals which is controlled by a LabVIEW graphical program that performs feature extraction and signal classification. We describe the desired performance for the amplifier circuit and present preliminary measurement results and output examples from the amplifier circuit and LabVIEW program.
This work-in-progress paper describes a freshman engineering design course that incorporates codi... more This work-in-progress paper describes a freshman engineering design course that incorporates coding and manufacturing engineering concepts through an autonomous robot vehicle project. The course itself is part of a three-course engineering design sequence that introduces incoming freshman engineering students to the fundamental concepts of engineering design that will be applied throughout their undergraduate engineering education. The project’s learning objectives are that students will be able to successfully integrate digital and physical design, develop a navigation algorithm, and implement it in Arduino C, in order to allow an autonomous robot vehicle to successfully navigate a course. Students use modern, industry-standard fabrication and prototyping tools in the design process, and demonstrate a working autonomous robot vehicle, including student-designed, 3D-printed protective components. Two faculty instructors with backgrounds in mechanical and manufacturing engineering an...
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
This work introduces a charge recovery comparator circuit for low-power, low-frequency applicatio... more This work introduces a charge recovery comparator circuit for low-power, low-frequency applications. For the first time, the principles of charge recovery logic, or adiabatic logic, are applied to an analog circuit. The comparator is designed and simulated in a 180 nm technology and compared to state of the art solutions. Post-extraction simulations show that the proposed comparator consumes only 46 fJ per conversion in the nominal PVT corner, while having a total area of 45 μm2. The proposed comparator consumes up to 70 % less power than a state of the art dynamic latch comparator.
This paper investigates the integration of optoelectronic devices with CMOS to implement reconfig... more This paper investigates the integration of optoelectronic devices with CMOS to implement reconfigurable threshold logic gates for Boolean functions. The weight of the optoelectronic device can be altered by changing the optical power which is used to reconfigure the threshold logic (TL) gate. These novel reconfigurable gates are called the optoelectronic capacitor based TL (OECTL) gates. The OECTL gates are designed for i) simplistic AND/NAND gates and OR/NOR gates with large fan-in and ii) linearly separable Boolean functions that can be reconfigured to other linearly separable Boolean functions, constrained in reconfiguration by the specifics of TL operation. SPICE simulations in 65nm bulk CMOS technology with a Verilog-A model for the optoelectronic capacitor demonstrate i) AND/NAND gates and OR/NOR gates are 2× faster as fan-in goes above 3 and consumes low power and ii) Boolean functions can be reconfigured with 0.58× smaller delay and 0.46× less power of standard CMOS design.
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