Imperial College London
Alternate

ProfessorEstherRodriguez Villegas

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Low Power Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6193e.rodriguez

 
 
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Location

 

914Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Iranmanesh:2017:10.1109/TBCAS.2017.2690908,
author = {Iranmanesh, S and Rodriguez, Villegas E},
doi = {10.1109/TBCAS.2017.2690908},
journal = {IEEE Transactions on Biomedical Circuits and Systems},
pages = {858--866},
title = {An ultra-low power sleep spindle detection system on chip},
url = {http://dx.doi.org/10.1109/TBCAS.2017.2690908},
volume = {11},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper describes a full system-on-chip to automatically detect sleep spindle events from scalp EEG signals. These events, which are known to play an important role on memory consolidation during sleep, are also characteristic of a number of neurological diseases. The operation of the system is based on a previously reported algorithm, which used the Teager energy operator, together with the Spectral Edge Frequency (SEF50) achieving more than 70% sensitivity and 98% specificity. The algorithm is now converted into a hardware analog based customized implementation in order to achieve extremely low levels of power. Experimental results prove that the system, which is fabricated in a 0.18 μm CMOS technology, is able to operate from a 1.25 V power supply consuming only 515 nW, with an accuracy that is comparable to its software counterpart.
AU  - Iranmanesh,S
AU  - Rodriguez,Villegas E
DO  - 10.1109/TBCAS.2017.2690908
EP  - 866
PY  - 2017///
SN  - 1940-9990
SP  - 858
TI  - An ultra-low power sleep spindle detection system on chip
T2  - IEEE Transactions on Biomedical Circuits and Systems
UR  - http://dx.doi.org/10.1109/TBCAS.2017.2690908
UR  - http://hdl.handle.net/10044/1/46059
VL  - 11
ER  -
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