Karl S. Gugel

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Two of the most critical tasks when designing a portable wireless neural recording system are to limit power consumption and to efficiently use the limited bandwidth. It is known that for most wireless devices the majority of power is consumed by the wireless transmitter and it often represents the bottleneck of the overall design. This paper compares two(More)
This paper describes a wireless system for sampling multiple channels of neural activity based on a low-power, custom 80dB-gain integrated bioamplifier, Texas Instrument’s MSP430 microprocessors, and Nordic Semiconductor’s ultra low power, high bandwidth RF transmitter/receivers. The system’s features are presented as well as results of spike potentials(More)
This paper presents a powerful new low power wireless system for sampling multiple channels of neural activity based on Texas Instruments MSP430 microprocessors and Nordic Semiconductor's ultra low power high bandwidth RF transmitters and receivers. The system's development process, component selection, features and test methodology are presented.
In this paper, we present a design for a wearable computational DSP system that alleviates the issues of a previous design and provides a much smaller and lower power solution for the overall BMI goals. The system first acquires the neural data through a high speed data bus in order to train and evaluate prediction models. Then it wirelessly transmits the(More)
In this paper, we present a design for a wearable DSP system that is capable of processing various neural-tomotor translation algorithms. The system first acquires the neural data through a high speed data bus in order to train and evaluate our prediction models. Then via a widely used protocol, the low-bandwidth output trajectory is wirelessly transmitted(More)
Transversal adaptive filters for digital signal processing have traditionally been implemented into DSP processors due to their ability to perform fast floating-point arithmetic. However, with its growing die size as well as incorporating the embedded DSP block, the FPGA devices have become a serious contender in the signal processing market. Although it is(More)
A design challenge of portable wireless neural recording systems is the tradeoff between bandwidth and power consumption. This paper investigates the compression of neuronal recordings in real-time using a novel discriminating Linde-Buzo-Gray algorithm (DLBG) that preserves spike shapes while filtering background noise. The technique is implemented in a low(More)
In earlier work on mapping multi-channel neural spike data (recorded from multiple cortical areas of an owl monkey) to corresponding 3d monkey arm positions, we observed that single continuous function approximators (such as artificial neural networks) have difficulty in jointly estimating 3d arm positions for two distinct cases — namely, when the monkey’s(More)
This work is dedicated to my wife, Shalomoth Plew. Her love and support during this research allowed me to not only accomplish my goals for this project, but also ensured that my life was filled with happiness. It is also dedicated to my father, Richard Plew, who made all of this possible. It was his support and guidance through the many years of high(More)