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A multi-channel wireless implantable...
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North Carolina State University.
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A multi-channel wireless implantable neural recording system .
Record Type:
Electronic resources : Monograph/item
Title/Author:
A multi-channel wireless implantable neural recording system ./
Author:
Yin, Ming.
Description:
184 p.
Notes:
Advisers: Maysam Ghovanloo; Gianluca Lazzi.
Contained By:
Dissertation Abstracts International70-05B.
Subject:
Biology, Neuroscience. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3357919
ISBN:
9781109159608
A multi-channel wireless implantable neural recording system .
Yin, Ming.
A multi-channel wireless implantable neural recording system .
- 184 p.
Advisers: Maysam Ghovanloo; Gianluca Lazzi.
Thesis (Ph.D.)--North Carolina State University, 2009.
This dissertation presents a multi-channel implantable wireless neural recording (WINeR) system for electrophysiology and behavioral neuroscience research applications. This system consists of two units: a system-on-a-chip (SoC) transmitter unit and a receiver unit built with off-the-shelf components. A novelty of the WINeR system is in its utilization of a wireless single-slope ADC technique by inserting a wireless link in between a pulse width modulator and a time-to-digital converter (TDC). This technique not only offers the WINeR system the benefits of a single-slope ADC, but also makes the WINeR transmitter unit very simple, low power, and small in regards to chip area. In addition, by directly transmitting pulse width modulation (PWM) signal, the pulse rate over the wireless link is reduced to the sampling rate, while a moderate system resolution can still be achieved. Another novelty of this system is that its transmitter uses an asynchronous (clockless) topology and achieves very low noise levels by eliminating the on-chip clock. Finally, this system has wideband FSK demodulator and FPGA-based TDC in the receiver unit, which achieve high resolution, low noise, low power, low cost, and ease of implementation.
ISBN: 9781109159608Subjects--Topical Terms:
1017680
Biology, Neuroscience.
A multi-channel wireless implantable neural recording system .
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This dissertation presents a multi-channel implantable wireless neural recording (WINeR) system for electrophysiology and behavioral neuroscience research applications. This system consists of two units: a system-on-a-chip (SoC) transmitter unit and a receiver unit built with off-the-shelf components. A novelty of the WINeR system is in its utilization of a wireless single-slope ADC technique by inserting a wireless link in between a pulse width modulator and a time-to-digital converter (TDC). This technique not only offers the WINeR system the benefits of a single-slope ADC, but also makes the WINeR transmitter unit very simple, low power, and small in regards to chip area. In addition, by directly transmitting pulse width modulation (PWM) signal, the pulse rate over the wireless link is reduced to the sampling rate, while a moderate system resolution can still be achieved. Another novelty of this system is that its transmitter uses an asynchronous (clockless) topology and achieves very low noise levels by eliminating the on-chip clock. Finally, this system has wideband FSK demodulator and FPGA-based TDC in the receiver unit, which achieve high resolution, low noise, low power, low cost, and ease of implementation.
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A 32-channel WINeR transmitter prototype is implemented in a standard CMOS technology, and operates in the 900MHz ISM band. A prototype WINeR receiver is also built using off-the-shelf components with up to 75MHz bandwidth. A custom developed VC++ GUI running on a PC interface with the receiver unit through a USB port and facilitates data storage and visualization. In addition, detailed noise analysis is conducted both theoretically and experimentally to further characterize the performance of the system. Finally, the full functionality of the entire WINeR system has been validated from bench-top, and through in vivo experiments on rats.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3357919
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