Design of energy-efficient on-chip EEG classification and recording processors for wearable environments

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 2016-July, Issue , 2016, Pages 1126-1129

  Altaf, Muhammad Awais Bin ^a   Zhang, Chen ^a   Radakovic, Ljubomir ^a   Yoo, Jerald ^a  

^a KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Electroencephalography (EEG); epilepsy; machine learning; on chip classification; patient specific; seizure detection; wearable sensor

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; DIGITAL SIGNAL PROCESSING; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; ENERGY UTILIZATION; INTEGRATED CIRCUIT DESIGN; LEARNING SYSTEMS; RECONFIGURABLE HARDWARE; SIGNAL PROCESSING; WEARABLE COMPUTERS; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

CLASSIFICATION ALGORITHM; COMMUNICATION OVERHEADS; EPILEPSY; EPILEPTIC SEIZURE DETECTION; MASSACHUSETTS INSTITUTE OF TECHNOLOGY; ON CHIPS; PATIENT SPECIFIC; SEIZURE DETECTION;

ENERGY EFFICIENCY;

EID: 84983391882     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2016.7527443     Document Type: Conference Paper

References (18)

1. NeuroMetrix Inc. [online], Available: http: //www. sec. gov/Archives/edgar/data/1289850/000114420415011802 /v40082010k. htm.
2. V. Mihajlovic et al., "Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?, " IEEE J. Biomed. Health Informatics, vol. 19, no. 1, pp. 6-21, Jan. 2015.
3. "Neurology and Neurosurgery, " [online]. Available: http: //nyulangone. org/files/publication-issues/Neuro-Final-AR. pdf.
4. Texas Instruments, "Low-cost low-power 2. 4 GHz RF transmitter, " [online]. Available: http: //www. Ti. com/lit/ds/symlink/cc2500. pdf.
5. 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.
6. J. Yoo et al., "An 8-Channel Scalable EEG Acquisition SoC With Fully Integrated Patient-Specific Seizure Classification and Recording Processor, " IEEE Int. Solid-State Circuits Conf. (ISSCC) Dig. Tech. Papers, Feb. 2012, pp. 292-293.
7. M. Altaf, J. Tillak, Y. Kifle, and J. Yoo, "A 1. 83uJ/Classification Nonlinear Support-Vector Machine-Based Patient-Specific Seizure Classification SoC, " in IEEE Int. Solid-State Circuits Conf. (ISSCC) Dig. Tech. Papers, Feb. 2013, pp. 100-101.
8. M. Altaf, C. Zhang, and J. Yoo, "A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC with Machine-Learning and Voltage-Mode Transcranial Stimulation, " in IEEE Int. Solid-State Circuits Conf. (ISSCC) Dig. Tech. Papers, Feb. 2015, pp. 394-395.
9. M. Altaf and J. Yoo, "A 1. 52 ?J/classification patient-specific seizure classification processor using Linear SVM, " in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May 2013, pp. 849-852.
10. J. Yoo and H.-J. Yoo, "Emerging Low Energy Wearable Body Sensor Networks Using Patch Sensors for Continuous Healthcare Applications, " in Proc. IEEE Engineering in Medicine and Biology Society (EMBC), Sept. 2010, pp. 6381-6384.
11. J. Yoo, L. Yan, S. Lee, H. Kim, and H.-J. Yoo, "A wearable ECG acquisition system with compact planar-fashionable circuit board-based shirt, " IEEE Transactions on Information Technology in Biomedicine, Vol. 13, No. 6, pp. 897-902, Nov. 2009.
12. M. Shoaib et al., "A 0. 6-107 uW Energy-scalable Processor for Directly Analyzing Compressively-sensed EEG, " IEEE Trans. Circuits and Systems I (TCAS-I), vol. 61, no. 4, pp. 1105-1118, Apr. 2014.
13. Jerald Yoo, "Design strategies for wearable sensor interface circuits: from electrodes to signal processing, " IEEE Int. Solid-State Circuits Conf. (ISSCC) 2014 Short Course on Biomedical and sensor interface circuits, Feb. 2014.
14. C. Zhang, M. Altaf, and J. Yoo, "A 16-channel, 1-Second Latency Patient-Specific Seizure Onset and Ter-mination Detection Processor with Dual Detector Architecture and Digital Hysteresis, " in IEEE CICC 2015.
15. American Clinical Neurophysiology Society [online], Available: http: //www. acns. org/pdf/guidelines/Guideline-6. pdf
16. A. Shoeb, "Application of Machine Learning to Epileptic Seizure Onset Detection and Treatment, " Ph. D. Thesis, Massachusetts Institute of Technology, Sept. 2009.
17. A. Goldberger, et al., "PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals, " Circulation, vol. 101, no. 23, pp. 215-220, 2000.
18. M. Altaf, C. Zhang and J. Yoo, "A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC with Impedance-Adaptive Transcranial Electrical Stimulator, " IEEE Journal of Solid-State Circuits (JSSC), vol. 50, no. 11, pp. 2728-2740, Nov. 2015.