Abstract—This paper describes a low-power/low-voltage CMOS wireless interface (CMOS-WiI) at 5.7 GHz with dry electrodes for congnitive networks. The electrodes are 4 4 microtip arrays and acquire electroencephalogram (EEG) signals in key- points for processing. The CMOS-WiI was fabricated in a UMC 0.18 RF CMOS process and its total power consumption is 23 mW with a voltage-supply of only 1.5 V. The carrier frequency is digitally selectable and it can be one of 16 possible values in the range 5.42–5.83 GHz, with 27.12 MHz steps. These multiple carriers allow a better spectrum allocation as well as the acquisition, processing and transmission of high-quality EEG signals from 16 electrode arrays. The microtips array was fabricated through bul...
Brain machine interfaces have the potential to revolutionize our understanding of the brain, restore...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...
This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogra...
This paper describes a low-power/low-voltage CMOS wireless interface (CMOS-WiI) at 5.7 GHz with dry...
Abstract—This paper presents a plug-and-play module for wireless electroencephalogram (EEG) applicat...
This paper presents a plug-and-play module for wireless electroencephalogram (EEG) applications. The...
This paper presents a complete non-invasive Wireless acquisition system based on dry electrodes for ...
This chapter introduces the concept of wireless interface, followed by the discussion of the fundame...
The paper presents the design and fabrication of a radio-frequency (RF) transceiver fabricated in a ...
Abstract—This paper presents the design and fabrication of a radio-frequency (RF) transceiver fabric...
Miniaturized, low power and low noise circuits and systems are instrumental in bringing EEG monitori...
Clinically viable and minimally invasive neural interfaces stand to revolutionize disease care for p...
Abstract: This paper presents a wireless EEG acquisition system powered by a thermoelectric energy s...
This paper presents a non-invasive dry electrode for electroencephalogram (EEG) acquisition. These e...
Abstract—Existing approaches used to develop compact low-power multichannel wireless neural recordin...
Brain machine interfaces have the potential to revolutionize our understanding of the brain, restore...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...
This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogra...
This paper describes a low-power/low-voltage CMOS wireless interface (CMOS-WiI) at 5.7 GHz with dry...
Abstract—This paper presents a plug-and-play module for wireless electroencephalogram (EEG) applicat...
This paper presents a plug-and-play module for wireless electroencephalogram (EEG) applications. The...
This paper presents a complete non-invasive Wireless acquisition system based on dry electrodes for ...
This chapter introduces the concept of wireless interface, followed by the discussion of the fundame...
The paper presents the design and fabrication of a radio-frequency (RF) transceiver fabricated in a ...
Abstract—This paper presents the design and fabrication of a radio-frequency (RF) transceiver fabric...
Miniaturized, low power and low noise circuits and systems are instrumental in bringing EEG monitori...
Clinically viable and minimally invasive neural interfaces stand to revolutionize disease care for p...
Abstract: This paper presents a wireless EEG acquisition system powered by a thermoelectric energy s...
This paper presents a non-invasive dry electrode for electroencephalogram (EEG) acquisition. These e...
Abstract—Existing approaches used to develop compact low-power multichannel wireless neural recordin...
Brain machine interfaces have the potential to revolutionize our understanding of the brain, restore...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...
This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogra...