A high-rate long-range wireless transmission system for multichannel neural recording applications

Miranda, Henrique; Gilja, Vikash; Chestek, Cindy A; Shenoy, Krishna V.; Meng, Tao

doi:10.1109/iscas.2009.5117993

Cited by 10 publications

(13 citation statements)

References 9 publications

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“…• Mainly routing protocols are used on the software level and they are based on the remaining power units in the nodes [4], the use of virtual coordinates [15], the alternation of long-range and short-range transmission [6], the positioning of nodes as well as the use of sets. The use of mobility of network components is considered to be a prospective balancing method.…”

Section: Related Researchmentioning

confidence: 99%

Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

Jurenoks

2016

Applied Computer Systems

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-Nowadays control and management logistics solutions that are used in terminals apply sensor based technologies to identify and localize containers in the yard. Nevertheless, because of the limits in the existing sensor technical specification, the position of nodes is still affected by some errors or sometimes it cannot be determined in real-time systems due to battery fall.The sensor nodes pertaining to information storage and processing are mainly equipped with an uninterrupted power supply, independent distribution network connectivity and low performance computing system. The capacity of data traffic near a coordinator node is much higher than in the distant points; as a result, the existing elements close to processing nodes faster than others stop operating due to a lack of electricity and, as a result, the network ceases its overall work.The article describes the modification of network routing protocols for energy balancing in nodes, using the mobility of the coordinator node, which provides dynamic network reconfiguration possibilities.

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Section: Related Researchmentioning

confidence: 99%

Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

Jurenoks

2016

Applied Computer Systems

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“…8) is based on the classic superheterodyne architecture with two frequency conversion stages. This receiver is based on the one described in [16] but was considerably redesigned to provide tunability and automatic carrier frequency tracking. Its main blocks and functionality are described in the following sections:…”

Section: B Receivermentioning

confidence: 99%

“…This a miniaturization of the system introduced in [16] to fit a smaller form factor enclosure (detailed in [10]). While the prototype in [16] occupied five boards of approximately 70 mm 70 mm in size, the system presented in this paper is assembled in a stack of three 28 mm 28-mm boards, whose details are presented in TABLE I SPECIFICATIONS OF SEVERAL HERMES GENERATIONS the following sections. Neural data are collected and stored by a custom-designed bench-top stand-alone receiver, improved with tunability and automatic carrier frequency tracking characteristics over the initial design presented in [16].…”

Section: Introductionmentioning

confidence: 99%

HermesD: A High-Rate Long-Range Wireless Transmission System for Simultaneous Multichannel Neural Recording Applications

Miranda

Gilja

Chestek

et al. 2010

IEEE Trans. Biomed. Circuits Syst.

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142

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Abstract-HermesD is a high-rate, low-power wireless transmission system to aid research in neural prosthetic systems for motor disabilities and basic motor neuroscience. It is the third generation of our "Hermes systems" aimed at recording and transmitting neural activity from brain-implanted electrode arrays. This system supports the simultaneous transmission of 32 channels of broadband data sampled at 30 ks/s, 12 b/sample, using frequency-shift keying modulation on a carrier frequency adjustable from 3.7 to 4.1 GHz, with a link range extending over 20 m. The channel rate is 24 Mb/s and the bit stream includes synchronization and error detection mechanisms. The power consumption, approximately 142 mW, is low enough to allow the system to operate continuously for 33 h, using two 3.6-V/1200-mAh Libatteries. The transmitter was designed using off-the-shelf components and is assembled in a stack of three 28 mm 28-mm boards that fit in a 38 mm 38 mm 51-mm aluminum enclosure, a significant size reduction over the initial version of HermesD. A 7-dBi circularly polarized patch antenna is used as the transmitter antenna, while on the receiver side, a 13-dBi circular horn antenna is employed. The advantages of using circularly polarized waves are analyzed and confirmed by indoor measurements. The receiver is a stand-alone device composed of several submodules and is interfaced to a computer for data acquisition and processing. It is based on the superheterodyne architecture and includes automatic frequency control that keeps it optimally tuned to the transmitter frequency. The HermesD communications performance is shown through bit-error rate measurements and eye-diagram plots. The sensitivity of the receiver is 83 dBm for a bit-error probability of . Experimental recordings from a rhesus monkey conducting multiple tasks show a signal quality comparable to commercial acquisition systems, both in the low-frequency (local field potentials) and upper-frequency bands (action potentials) of the neural signals. This system can be easily scaled up in terms of the number of channels and data rate to accommodate future generations of Hermes systems.Index Terms-High-rate frequency-shift keying (FSK) transmitter, in-vivo neural recording, neural prosthetics, wireless high-rate multichannel biotelemetry.

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“…In order to reduce the size of the antenna in the transmitter, low-cost, low-power 2.4 GHz RF transceiver CC2500 was used in the BCI system [11]. CC2500 has high sensitivity and low packet error rate and it can be used together with a microcontroller via a SPI controller.…”

Section: System Architecturementioning

confidence: 99%

Dry Electrode Based Wearable Wireless Brain–Computer Interface System

Guo

Wang

Xu³

et al. 2011

Journal of Nanotechnology in Engineering and Medicine

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Brain-computer interface (BCI) technology is a key issue in neural engineering, which can manipulate machine by electroencephalography (EEG). An important question surrounding the use of the BCI is the design of a wearable electroencephalography recording and processing equipment. We report the design and fabrication of a novel system based on dry electrodes, in which skin preparation and application of electrolytic gel are not required. In this study, an EEG-based BCI system, which includes a wireless transmitter module and an receiver module was designed, EEG is acquired using dry electrodes, amplified and processed by an application-specific integrated circuit (ASIC), and transmitted to the receiver by RF chip. The BCI system can obtain the subject's degree of concentration, and those trained subjects have the ability of controlling the machine by changing their EEG signals. A experiment that controlling a toy car using the BCI system is successfully performed. The wearable transmitter module weighs 39 g only and easy to wear. The transmitter consumes 60 mW of dc power and generates an output power of 0 dBm. The BCI system is suitable for long-term EEG monitoring in users' daily life. This system is feasible for further extension.

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A high-rate long-range wireless transmission system for multichannel neural recording applications

Cited by 10 publications

References 9 publications

Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

HermesD: A High-Rate Long-Range Wireless Transmission System for Simultaneous Multichannel Neural Recording Applications

Dry Electrode Based Wearable Wireless Brain–Computer Interface System

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