A 1.83μJ/classification nonlinear support-vector-machine-based patient-specific seizure classification SoC

Digest of Technical Papers - IEEE International Solid-State Circuits Conference

Volumn 56, Issue , 2013, Pages 100-101

  Altaf, Muhammad Awais Bin ^a   Tillak, Judyta ^a   Kifle, Yonatan ^a   Yoo, Jerald ^a  

^a KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION ACCURACY; DETECTION DELAYS; DETECTION RATES; HIGH DETECTION RATE; LINEAR SUPPORT VECTOR MACHINES; NEUROSTIMULATION; PATIENT SPECIFIC; SEIZURE DETECTION;

ERRORS;

SUPPORT VECTOR MACHINES;

EID: 84876530876     PISSN: 01936530     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSCC.2013.6487654     Document Type: Conference Paper

References (7)

1. N. Verma et al., "A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System," IEEE J. Solid-State Circuits, vol. 45, no. 4, pp. 804-816, Apr. 2010.
2. M. Salam et al., "A Novel Low-Power-Implantable Epileptic Seizure-Onset Detector," IEEE Trans. Biomed. Circuits and Systems, vol. 5, no. 6, pp. 568-578, Dec. 2011.
3. J. Yoo et al., "An 8-Channel Scalable EEG Acquisition SoC With Fully Integrated Patient-Specific Seizure Classification and Recording Processor," ISSCC Dig. Tech. Papers, pp. 291-293, Feb. 2012.
4. A. H. Shoeb, "Application of Machine Learning to Epileptic Seizure Onset Detection and Treatment," Ph. D. Thesis, Massachusetts Institute of Technology, Sep. 2009.
5. F. Sheikh et al., "A 2.05G Vertices/s 151mW Lighting Accelerator for 3D Graphics Vertex and Pixel Shading in 32nm CMOS," ISSCC Dig. Tech. Papers, pp. 184-185, Feb. 2012.
6. T. Denison et al., "A 2.2 uW 94nV/√Hz, Chopper-Stabilized Instrumentation Amplifier for EEG Detection in Chronic Implants," ISSCC Dig. Tech. Papers, pp. 162-163, Feb. 2007.
7. J. Xu et al., "A 160 uW 8-Channel Active Electrode System for EEG Monitoring," ISSCC Dig. Tech. Papers, pp. 300-301, Feb. 2011.