Evidence map›Paper›PMID 26185489›Full record

ArticleIEEE transactions on circuits and systems. II, Express briefs : a publication of the IEEE Circuits and Systems Society2015

Toward an Ultralow-Power Onboard Processor for Tongue Drive System.

Sina Viseh, Maysam Ghovanloo, Tinoosh Mohsenin

Abstract read
In one paragraph

Article in IEEE transactions on circuits and systems. II, Express briefs : a publication of the IEEE Circuits and Systems Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sina VisehUniversity of Maryland, Baltimore County, Baltimore, MD 21250 USA.
Maysam GhovanlooUniversity of Maryland, Baltimore County, Baltimore, MD 21250 USA.
Tinoosh MohseninUniversity of Maryland, Baltimore County, Baltimore, MD 21250 USA.

Funding

Development and Translational Assesment of a Tongue-Based Assistive Neuro-TechnolRC1EB010915 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI GHOVANLOO, MAYSAM · 2009 to 2010
$999k
Optimization, Biocompatibility and Safety Assessment of Tongue ImplantsR21EB016662 · NIBIB · EMORY UNIVERSITY · PI GHOVANLOO, MAYSAM, SOKOLOFF, ALAN · 2013 to 2014
$423k
NIBIB NIH HHS R21 EB016662NIBIB NIH HHS RC1 EB010915
6 · The paper itself

Abstract

The Tongue Drive System (TDS) is a new unobtrusive, wireless, and wearable assistive device that allows for real-time tracking of the voluntary tongue motion in the oral space for communication, control, and navigation applications. The latest TDS prototype appears as a wireless headphone and has been tested in human subject trials. However, the robustness of the external TDS (eTDS) in real-life outdoor conditions may not meet safety regulations because of the limited mechanical stability of the headset. The intraoral TDS (iTDS), which is in the shape of a dental retainer, firmly clasps to the upper teeth and resists sensor misplacement. However, the iTDS has more restrictions on its dimensions, limiting the battery size and consequently requiring a considerable reduction in its power consumption to operate over an extended period of two days on a single charge. In this brief, we propose an ultralow-power local processor for the TDS that performs all signal processing on the transmitter side, following the sensors. Assuming the TDS user on average issuing one command/s, implementing the computational engine reduces the data volume that needs to be wirelessly transmitted to a PC or smartphone by a factor of 1500×, from 12 kb/s to ~8 b/s. The proposed design is implemented on an ultralow-power IGLOO nano field-programmable gate array (FPGA) and is tested on AGLN250 prototype board. According to our post-place-and-route results, implementing the engine on the FPGA significantly drops the required data transmission, while an application-specific integrated circuit (ASIC) implementation in a 65-nm CMOS results in a 15× power saving compared to the FPGA solution and occupies a 0.02-mm

Indexed as

Application-specific integrated circuit (ASIC)field-programmable gate array (FPGA)low powermachine learningonboard processorpersonalized assistive devicewearable biomedical device

Identifiers

PMID26185489
PMCPMC4500193

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.