Battery-operated High-bandwidth Multi-channel Wireless Neural Recording System using 802.11b

Parthasarathy, Jayant; Hogenson, Jim; Erdman, Arthur G.; Redish, A. David; Ziaie, Babak

doi:10.1109/iembs.2006.259578

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Therefore, a 6000 mAh lithium ion polymer battery will be able to power the proposed platform during 30 hours (WIFI off) or 15 hours (WIFI on). In comparison to other systems already reported (Parthasarathy et al, 2006); (Sullivan et al, 2007); (Yates and Rodriguez-Villegas, 2007); (Yazicioglu et al, 2009), our platform consumes more power, due to the usage of a more expensive communication protocol. Although the other platforms may consume less energy, they also provide fewer channels, less signal resolution and lower sampling rates, which renders in a data package a lot smaller than the data package transmitted by the proposed platform.…”

Section: Performance Of Embedded Systemmentioning

confidence: 78%

A Wireless EEG Acquisition Platform based on Embedded Systems

Pinho

Correia

Dias

2013

Proceedings of the International Conference on Biomedical Electronics and Devices

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This paper proposes a wireless EEG acquisition platform based on Open Multimedia Architecture Platform (OMAP) embedded system. A high-impedance active dry electrode was tested for improving the scalp- electrode interface. It was used the sigma-delta ADS1298 analog-to-digital converter, and developed a “kernelspace” character driver to manage the communications between the converter unit and the OMAP’s ARM core. The acquired EEG signal data is processed by a “userspace” application, which accesses the driver’s memory, saves the data to a SD-card and transmits them through a wireless TCP/IP-socket to a PC. The electrodes were tested through the alpha wave replacement phenomenon. The experimental results presented the expected alpha rhythm (8-13 Hz) reactiveness to the eyes opening task. The driver spends about 725 μs to acquire and store the data samples. The application takes about 244 μs to get the data from the driver and 1.4 ms to save it in the SD-card. A WiFi throughput of 12.8Mbps was measured which results in a transmission time of 5 ms for 512 kb of data. The embedded system consumes about 200 mAh when wireless off and 400 mAh when it is on. The system exhibits a reliable performance to record EEG signals and transmit them wirelessly. Besides the microcontroller-based architectures, the proposed platform demonstrates that powerful ARM processors running embedded operating systems can be programmed with real-time constrains at the kernel level in order to control hardware, while maintaining their parallel processing abilities in high level software applications.This work was supported by FCT with the reference project FCOMP 01 0124-FEDER-010909 (FCT/PTDC/SAU-BEB/100392/2008), FCOMP 01 0124 FEDER 021145 (FCT/PTDC/SAU- ENB/118383/2010) and by FEDER funds through the Programa Operacional Fatores de Competitividade – COMPETE and National Funds through FCT – Fundação para a Ciência e Tecnologia with the reference Project: FCOMP-01- 0124-FEDER-022674. This work is also supported by ADI Project "DoIT - Desenvolvimento e Operacionalização da Investigação de Translação" (project nº 13853, PPS4-MyHealth), funded by Fundo Europeu de Desenvolvimento Regional (FEDER) through the Programa Operacional Factores de Competitividade (POFC)

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Section: Performance Of Embedded Systemmentioning

confidence: 78%

A Wireless EEG Acquisition Platform based on Embedded Systems

Pinho

Correia

Dias

2013

Proceedings of the International Conference on Biomedical Electronics and Devices

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“…It also has thermal shutdown and current limiting functions to prevent damage to the chip. 45 In addition, the MIC4680 demands very few external components to attain a stable output voltage.…”

Section: Circuit Implementationmentioning

confidence: 99%

“…At 200 KHz, it can continuously output 1.3 A current within the input voltage range, with outstanding line, load, and transient response. It also has thermal shutdown and current limiting functions to prevent damage to the chip 45 . In addition, the MIC4680 demands very few external components to attain a stable output voltage.…”

Section: Memristor‐based Regulator Circuitmentioning

confidence: 99%

Memristor‐based circuit design of continuously adjustable direct‐current voltage source

Ding

et al. 2022

Circuit Theory & Apps

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Summary Direct‐current (DC) voltage source is an essential part in many occasions such as integrated systems and laboratory electricity, which can provide a stable and continuous voltage supply. Traditional voltage sources are frequently designed by bipolar junction and field effect transistors. Compared with these devices, memristors have lower power consumption and smaller size. At present, memristors have been used in the design of logic circuits and other functional circuits, which could provide a new idea for applying memristors into the design of DC voltage sources. In this paper, a memristor‐based circuit design of continuously adjustable DC voltage source is proposed for the first time. The proposed DC voltage source circuit only consists of two modules and has a simple structure. In addition, the output voltage amplitude of this voltage source can be continuously adjusted by the application of a control signal due to the utility of the memristor. The operation process of the whole circuit and the mathematical model between the input and output are analyzed in detail, which is greatly beneficial for use and expansion. Finally, the effectiveness of the circuit is verified in PSPICE, and the accuracy of the output amplitude of the voltage source is also investigated.

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A wireless recording system that utilizes Bluetooth technology to transmit neural activity in freely moving animals

Hampson

Collins

Deadwyler

2009

Journal of Neuroscience Methods

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A new wireless transceiver is described for recording individual neuron firing from behaving rats utilizing Bluetooth transmission technology and a processor onboard for discrimination of neuronal waveforms and associated time stamps. This universal brain activity transmitter (UBAT) is attached to rodents via a backpack and amplifier headstage and can transmit 16 channels of captured neuronal firing data via a Bluetooth transceiver chip over very large and unconstrained distances. The onboard microprocessor of the UBAT allows flexible online control over waveform isolation criteria via transceiver instruction and the two-way communication capacity allows for closed-loop applications between neural events and behavioral or physiological processes which can be modified by transceiver instructions. A detailed description of the multiplexer processing of channel data as well as examples of neuronal recordings in different behavioral testing contexts is provided to demonstrate the capacity for robust transmission within almost any laboratory environment. A major advantage of the UBAT is the long transmission range and lack of object-based line of sight interference afforded by Bluetooth technology, allowing flexible recording capabilities within multiple experimental paradigms without interruption. Continuous recordings over very large distance separations from the monitor station are demonstrated providing experimenters with recording advantages not previously available with other telemetry devices.

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Battery-operated High-bandwidth Multi-channel Wireless Neural Recording System using 802.11b

Cited by 7 publications

References 17 publications

A Wireless EEG Acquisition Platform based on Embedded Systems

A Wireless EEG Acquisition Platform based on Embedded Systems

Memristor‐based circuit design of continuously adjustable direct‐current voltage source

A wireless recording system that utilizes Bluetooth technology to transmit neural activity in freely moving animals

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