Advisory Committee Chair
Mohammad R Haider
Advisory Committee Members
Karthikeyan Lingasubramanian
Earl B Wells
Nasim Uddin
Rotem A Elgavish
Document Type
Dissertation
Date of Award
2014
Degree Name by School
Doctor of Philosophy (PhD) School of Engineering
Abstract
The advances in microelectronics and wireless communication are going to change our lifestyles and benefit our healthcare system in the foreseeable future. New conception named "Ubiquitous Healthcare" has been proposed. It envisions a continuous, real-time, remote monitoring on the health conditions of people through the wireless communication network. Traditional biosignal monitoring devices need wire-connections for the recording, which may cause skin rupture and body infection. The physical connections also limited the number of the integrated recording channels. A low-power implantable multichannel telemetry system which can be implanted in the body and transmit recordings wirelessly can solve the problem of the traditional method. However, the design of such a low-power multichannel telemetry system is challenging. In this study, we have designed a telemetry system which possesses several merits in terms of power dissipation, system sensitivity, and data transmission rate. Research efforts have been made to address the critical design challenges of low-power consumption, high data rate communication, low cost and miniaturization, by employing subthreshold MOSFET based design, noise optimization, neuromorphic architecture and judicious use of positive and negative feedbacks. As a sensor signal acquisition unit, a low-power low-noise self-biased CMOS amplifier has been demonstrated. Modified spike detection algorithm, frequency-enhanced nonlinear energy operator (fNEO) and energy-of-derivative (ED), have been formulated and validated through CMOS all-inverter based circuit architecture. For spectrum efficient high data rate communication, a modified Hermite polynomial based ultra-wideband pulse generation schemes have been proposed and demonstrated with neuromorphic circuits.
Recommended Citation
Li, Yangguo, "A Low-power Multichannel Telemetry System for High-speed Wireless Neural Recordings" (2014). All ETDs from UAB. 2274.
https://digitalcommons.library.uab.edu/etd-collection/2274
