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Ultra Low-Power Algorithm Design for Implantable Devices: Application to Epilepsy Prostheses

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Center for Implantable Devices, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
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School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
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Author to whom correspondence should be addressed.
J. Low Power Electron. Appl. 2011, 1(1), 175-203; https://doi.org/10.3390/jlpea1010175
Received: 10 November 2010 / Revised: 11 April 2011 / Accepted: 14 April 2011 / Published: 12 May 2011
(This article belongs to the Special Issue Selected Topics in Low Power Design - From Circuits to Applications)
Low-power circuit design techniques have enabled the possibility of integrating signal processing and feature extraction algorithms on-board implantable medical devices, eliminating the need for wireless transfer of data outside the patient. Feature extraction algorithms also serve as valuable tools for modern-day artificial prostheses, made possible by implantable brain-computer-interface systems. This paper intends to review the challenges in designing feature extraction blocks for implantable devices, with specific focus on developing efficacious but computationally efficient algorithms to detect seizures. Common seizure detection features used to construct algorithms are evaluated and algorithmic, mathematical as well as circuit-level design techniques are suggested to effectively translate the algorithms into hardware implementations on low-power platforms. View Full-Text
Keywords: epilepsy therapy; implantable epilepsy prosthesis; seizure detection; low-power implantable circuit design epilepsy therapy; implantable epilepsy prosthesis; seizure detection; low-power implantable circuit design
MDPI and ACS Style

Raghunathan, S.; Gupta, S.K.; Markandeya, H.S.; Irazoqui, P.P.; Roy, K. Ultra Low-Power Algorithm Design for Implantable Devices: Application to Epilepsy Prostheses. J. Low Power Electron. Appl. 2011, 1, 175-203.

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