Advisory Committee Chair
Abidin Yildirim
Advisory Committee Members
Arie Nakhmani
Frankln R Amthor
Document Type
Thesis
Date of Award
2019
Degree Name by School
Master of Electrical Engineering (MEE) School of Engineering
Abstract
In the current market, there are many multichannel neural recording devices are available. However, they are either very expensive or physically big so that it cannot be used too close to the specimen because of the space limitations due to experimental setting such as Faraday cage, microscope, and other stimuli apparatus. In addition to that, the large electronic devices in the cell recording area are susceptible to create electrical noise, especially if they are not battery operated. This thesis work will try to deliver solutions following three main problems. The first problem we address is the device cost per recording channel. Developments in the manufacturing of high-density integrated circuits, allows us to design and manufacture more compact and low footprint devices that produce more economical systems for signal processing. In addition to that, high-density wafer manufacturing technologies make it possible to manufacture low-noise and low power multi-channel electronic devices such as amplifiers, analog/digital converters, and OP-Amps with programmable gain. This thesis project will take advantage of these new chip technologies to deliver, low-cost, low noise, and low power data acquisition system with a low cost per recording channel. The second problem that we will address is to achieve a device with a small footprint and high density of recording channels. To achieve this goal, we will design and develop an electronic circuitry using surface mount technology components (SMT- Components) with many functions on a chip, such as A/D conversion, low- pass filter (LFP), a computer communication interface, and many others built in a single chip. For the initial estimate, we will achieve 8-Channel complete recording unit, i.e., headstages, D/A converters, LFP and I2C computer interface with SD-Card capability only 4” x 4” (100 mm x 100 mm). Finally, we will address complicated user interface software problem, with much more straightforward and efficient and user-friendly software that the user can easily modify according to their needs. Utilizing open source software packages (Sketch, Python, etc.) we will deliver simple yet very functional software interface to operate the device, and if it is necessary, let the researcher modify it easily to fit their requirements, without needing extensive training.
Recommended Citation
Liu, Yen-Tze, "Design, Develop And Manufacture A Low-Cost 32-Channel Biosignal Amplifier And D/A Converter Device For Multi- Electrode Neural Recording" (2019). All ETDs from UAB. 2321.
https://digitalcommons.library.uab.edu/etd-collection/2321