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Ultra Low-Power Algorithm Design for Implantable Devices: Application to Epilepsy Prostheses
Center for Implantable Devices, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
* Author to whom correspondence should be addressed.
Received: 10 November 2010; in revised form: 11 April 2011 / Accepted: 14 April 2011 / Published: 12 May 2011
Abstract: 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.
Keywords: epilepsy therapy; implantable epilepsy prosthesis; seizure detection; low-power implantable circuit design
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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.
Raghunathan S, Gupta SK, Markandeya HS, Irazoqui PP, Roy K. Ultra Low-Power Algorithm Design for Implantable Devices: Application to Epilepsy Prostheses. Journal of Low Power Electronics and Applications. 2011; 1(1):175-203.
Raghunathan, Shriram; Gupta, Sumeet K.; Markandeya, Himanshu S.; Irazoqui, Pedro P.; Roy, Kaushik. 2011. "Ultra Low-Power Algorithm Design for Implantable Devices: Application to Epilepsy Prostheses." J. Low Power Electron. Appl. 1, no. 1: 175-203.