• DocumentCode
    2065386
  • Title

    21.8 A 16-ch patient-specific seizure onset and termination detection SoC with machine-learning and voltage-mode transcranial stimulation

  • Author

    Bin Altaf, Muhammad Awais ; Chen Zhang ; Yoo, Jerald

  • Author_Institution
    Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
  • fYear
    2015
  • fDate
    22-26 Feb. 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Multichannel EEG seizure detection SoCs are widely used in medical practice and in research [1]-[3]. Due to huge variation in seizure patterns, patient-specific seizure detection is very crucial. [1], [2] presents 8-channel (ch) SoCs with moderate latency (~2s) but without seizure termination detection and stimulation. [3] implements a closed-loop SoC but is not patient-specific, and moreover, is invasive. This paper presents an ultra-low power 16-ch "non-invasive, patient-specific" seizure onset and termination detection SoC with channels multiplexing AFE and pulsating voltage transcranial electrical stimulation (PVTES).
  • Keywords
    electroencephalography; learning (artificial intelligence); medical signal detection; medical signal processing; PVTES; SoC termination detection; closed-loop SoC; machine-learning; multichannel EEG seizure detection; patient-specific seizure detection; pulsating voltage transcranial electrical stimulation; ultralow power 16-ch noninvasive patient-specific seizure onset; voltage-mode transcranial stimulation; Band-pass filters; Electroencephalography; Impedance; Iron; Multiplexing; System-on-chip; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid- State Circuits Conference - (ISSCC), 2015 IEEE International
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-6223-5
  • Type

    conf

  • DOI
    10.1109/ISSCC.2015.7063092
  • Filename
    7063092