Literature DB >> 26185489

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

Sina Viseh1, Maysam Ghovanloo1, Tinoosh Mohsenin1.   

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-mm2 footprint. As a result, the power consumption and size of the iTDS will be significantly reduced through the use of a much smaller rechargeable battery. Moreover, the system can operate longer following every recharge, improving the iTDS usability.

Entities:  

Keywords:  Application-specific integrated circuit (ASIC); field-programmable gate array (FPGA); low power; machine learning; onboard processor; personalized assistive device; wearable biomedical device

Year:  2015        PMID: 26185489      PMCID: PMC4500193          DOI: 10.1109/TCSII.2014.2387683

Source DB:  PubMed          Journal:  IEEE Trans Circuits Syst II Express Briefs        ISSN: 1549-7747            Impact factor:   3.292


  8 in total

1.  Evaluation of a wireless wearable tongue-computer interface by individuals with high-level spinal cord injuries.

Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  J Neural Eng       Date:  2010-03-23       Impact factor: 5.379

2.  One hour of tongue-task training is associated with plasticity in corticomotor control of the human tongue musculature.

Authors:  P Svensson; A Romaniello; K Wang; L Arendt-Nielsen; B J Sessle
Journal:  Exp Brain Res       Date:  2006-02-18       Impact factor: 1.972

3.  Onboard tagging for real-time quality assessment of photoplethysmograms acquired by a wireless reflectance pulse oximeter.

Authors:  Kejia Li; Steve Warren; Balasubramaniam Natarajan
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-02       Impact factor: 3.833

4.  A configurable and low-power mixed signal SoC for portable ECG monitoring applications.

Authors:  Hyejung Kim; Sunyoung Kim; Nick Van Helleputte; Antonio Artes; Mario Konijnenburg; Jos Huisken; Chris Van Hoof; Refet Firat Yazicioglu
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2014-04       Impact factor: 3.833

5.  A wireless magnetoresistive sensing system for an intraoral tongue-computer interface.

Authors:  Hangue Park; Mehdi Kiani; Hyung-Min Lee; Jeonghee Kim; Jacob Block; Benoit Gosselin; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-12       Impact factor: 3.833

6.  A wireless tongue-computer interface using stereo differential magnetic field measurement.

Authors:  Xueliang Huo; Jia Wang; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

7.  Using unconstrained tongue motion as an alternative control mechanism for wheeled mobility.

Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-07       Impact factor: 4.538

8.  Quantitative assessment of magnetic sensor signal processing algorithms in a wireless tongue-operated assistive technology.

Authors:  Abner Ayala-Acevedo; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012
  8 in total

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