DocumentCode

70907

Title

A 0.45 V 100-Channel Neural-Recording IC With Sub- $\\mu {\\rm W}$ /Channel Consumption in 0.18 $\\mu{\\rm m}</h1></div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Author</span></div><div class='col-12 col-md-9 leftDirection leftAlign'><h2 class='mb-0 fw-semibold'>Dong Han ; Yuanjin Zheng ; Rajkumar, R. ; Dawe, Gavin Stewart ; Minkyu Je</h2></div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Author_Institution</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Volume</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>7</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Issue</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>6</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>fYear</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>2013</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>fDate</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>Dec. 2013</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Firstpage</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>735</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Lastpage</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>746</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Abstract</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>Neural prosthetics and personal healthcare have increasing need of high channel density low noise low power neural sensor interfaces. The input referred noise and quantization resolution are two essential factors which prevent conventional neural sensor interfaces from simultaneously achieving a good noise efficiency factor and low power consumption. In this paper, a neural recording architecture with dynamic range folding and current reuse techniques is proposed and dedicated to solving the noise and dynamic range trade-off under low voltage low power operation. Measured results from the silicon prototype show that the proposed design achieves 3.2 μVrms input referred noise and 8.27 effective number of bits at only 0.45 V supply and 0.94 μW/channel power consumption.</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Keywords</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>CMOS integrated circuits; bioMEMS; health care; low-power electronics; microelectrodes; microsensors; neurophysiology; prosthetic power supplies; silicon; 100-channel neural-recording IC; CMOS; Si; bit effective number; channel power consumption; conventional neural sensor interfaces; current reuse techniques; dynamic range folding; dynamic range trade-off; high channel density low noise low power neural sensor interfaces; input referred noise; low power consumption; low voltage low power operation; neural prosthetics; neural recording architecture; noise efficiency factor; personal healthcare; power 0.94 muW; quantization resolution; silicon prototype; size 0.18 mum; submicroWatt/channel consumption; voltage 0.45 V; voltage 3.2 muV; Biomedical measurement; Dynamic range; Logic gates; Noise measurement; Power demand; Quantization (signal); Transconductance; Current reuse; dynamic range folding; multichannel neural recording; noise efficiency factor (NEF); successive approximation register (SAR); two-level power supply;</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>fLanguage</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>English</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Journal_Title</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>Biomedical Circuits and Systems, IEEE Transactions on</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Publisher</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>ieee</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>ISSN</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>1932-4545</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Type</span></div><div class='col-12 col-md-9 leftDirection leftAlign'><h2 class='mb-0 fw-semibold'>jour</h2></div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>DOI</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>10.1109/TBCAS.2014.2298860</div></div> </li> <li class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center mb-2'><div class='col-12 col-md-3 fullRecLabelEnglish fw-bold mb-2 mb-md-0'><span class='text-muted small'>Filename</span></div><div class='col-12 col-md-9 leftDirection leftAlign'>6718118</div></div> </li> <div class='list-group-item border-0 py-3 px-0'> <div class='row g-0 align-items-center'><div class='col-12 col-md-3 fw-bold mb-2 mb-md-0'><span class='text-muted small'>Link To Document</span></div><div class='col-12 col-md-9 leftDirection leftAlign'><a class='text-break' href='https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=70907' target='_blank' rel=$ https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=70907