Development of Real-Time EEG Application on an Ultra-Low-Power DSP

S. Cirit; J. Penders; M. Ashouei; J. Hulzink; M. de Nil; J. Huisken; U. G. Hofmann

Development of Real-Time EEG Application on an Ultra-Low-Power DSP

S. Cirit, J. Penders, M. Ashouei, J. Hulzink, M. de Nil, J. Huisken, U. G. Hofmann

Institut für Signalverarbeitung

Abstract

Autonomous wireless devices for healthcare monitoring become a reality only if such devices are embedded with enough intelligent and processing capabilities to minimize the amount of data being transferred through the wireless network. Also, the embedded processing capability must be made energy efficient so that the device can operate on scavenged energy or very limited battery power. This paper reports the development of a real-time EEG (Electroencephalography) application based on DWT (Discrete Wavelet Transform) and its mapping and optimization on an Application Specific Instruction set Processor (ASIP). It shows the drastic energy reduction that can be achieved by cross-optimization of the algorithm and the ASIP architecture. Our results indicate that such cross-optimization can reduced the dynamic energy by more than 80%.

Originalsprache	Englisch
Seiten	1-6
Seitenumfang	6
Publikationsstatus	Veröffentlicht - 01.07.2009
Veranstaltung	2009 International Symposium on Code Generation and Optimization - Seattle, USA / Vereinigte Staaten Dauer: 22.03.2009 → 25.03.2009 http://cgo.org/cgo2009/

Tagung, Konferenz, Kongress

Tagung, Konferenz, Kongress	2009 International Symposium on Code Generation and Optimization
Kurztitel	CGO 2009
Land/Gebiet	USA / Vereinigte Staaten
Ort	Seattle
Zeitraum	22.03.09 → 25.03.09
Internetadresse	http://cgo.org/cgo2009/

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SDG 9 – Industrie, Innovation und Infrastruktur

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https://www.semanticscholar.org/paper/Development-of-Real-Time-EEG-Application-on-an-DSP-Cirit-Penders/ac4384a383f9108f4455b8122847b31dd2966442

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Cirit, S., Penders, J., Ashouei, M., Hulzink, J., de Nil, M., Huisken, J., & Hofmann, U. G. (2009). Development of Real-Time EEG Application on an Ultra-Low-Power DSP. 1-6. Beitrag in 2009 International Symposium on Code Generation and Optimization , Seattle, Washington, USA / Vereinigte Staaten. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.302.7650&rep=rep1&type=pdf

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title = "Development of Real-Time EEG Application on an Ultra-Low-Power DSP",

abstract = "Autonomous wireless devices for healthcare monitoring become a reality only if such devices are embedded with enough intelligent and processing capabilities to minimize the amount of data being transferred through the wireless network. Also, the embedded processing capability must be made energy efficient so that the device can operate on scavenged energy or very limited battery power. This paper reports the development of a real-time EEG (Electroencephalography) application based on DWT (Discrete Wavelet Transform) and its mapping and optimization on an Application Specific Instruction set Processor (ASIP). It shows the drastic energy reduction that can be achieved by cross-optimization of the algorithm and the ASIP architecture. Our results indicate that such cross-optimization can reduced the dynamic energy by more than 80\%.",

author = "S. Cirit and J. Penders and M. Ashouei and J. Hulzink and \{de Nil\}, M. and J. Huisken and Hofmann, \{U. G.\}",

year = "2009",

month = jul,

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language = "English",

pages = "1--6",

note = " 2009 International Symposium on Code Generation and Optimization , CGO 2009 ; Conference date: 22-03-2009 Through 25-03-2009",

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Cirit, S, Penders, J, Ashouei, M, Hulzink, J, de Nil, M, Huisken, J & Hofmann, UG 2009, 'Development of Real-Time EEG Application on an Ultra-Low-Power DSP', Beitrag in 2009 International Symposium on Code Generation and Optimization , Seattle, USA / Vereinigte Staaten, 22.03.09 - 25.03.09 S. 1-6. <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.302.7650&rep=rep1&type=pdf>

TY - CONF

T1 - Development of Real-Time EEG Application on an Ultra-Low-Power DSP

AU - Cirit, S.

AU - Penders, J.

AU - Ashouei, M.

AU - Hulzink, J.

AU - de Nil, M.

AU - Huisken, J.

AU - Hofmann, U. G.

PY - 2009/7/1

Y1 - 2009/7/1

N2 - Autonomous wireless devices for healthcare monitoring become a reality only if such devices are embedded with enough intelligent and processing capabilities to minimize the amount of data being transferred through the wireless network. Also, the embedded processing capability must be made energy efficient so that the device can operate on scavenged energy or very limited battery power. This paper reports the development of a real-time EEG (Electroencephalography) application based on DWT (Discrete Wavelet Transform) and its mapping and optimization on an Application Specific Instruction set Processor (ASIP). It shows the drastic energy reduction that can be achieved by cross-optimization of the algorithm and the ASIP architecture. Our results indicate that such cross-optimization can reduced the dynamic energy by more than 80%.

AB - Autonomous wireless devices for healthcare monitoring become a reality only if such devices are embedded with enough intelligent and processing capabilities to minimize the amount of data being transferred through the wireless network. Also, the embedded processing capability must be made energy efficient so that the device can operate on scavenged energy or very limited battery power. This paper reports the development of a real-time EEG (Electroencephalography) application based on DWT (Discrete Wavelet Transform) and its mapping and optimization on an Application Specific Instruction set Processor (ASIP). It shows the drastic energy reduction that can be achieved by cross-optimization of the algorithm and the ASIP architecture. Our results indicate that such cross-optimization can reduced the dynamic energy by more than 80%.

UR - https://www.semanticscholar.org/paper/Development-of-Real-Time-EEG-Application-on-an-DSP-Cirit-Penders/ac4384a383f9108f4455b8122847b31dd2966442

M3 - Conference Papers

SP - 1

EP - 6

T2 - 2009 International Symposium on Code Generation and Optimization

Y2 - 22 March 2009 through 25 March 2009

ER -

Development of Real-Time EEG Application on an Ultra-Low-Power DSP

Abstract

Tagung, Konferenz, Kongress

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Dokumente

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