• DocumentCode
    1456435
  • Title

    Microwatt Embedded Processor Platform for Medical System-on-Chip Applications

  • Author

    Sridhara, Srinivasa R. ; DiRenzo, Michael ; Lingam, Srinivas ; Lee, Seok-Jun ; Blázquez, Raul ; Maxey, Jay ; Ghanem, Samer ; Lee, Yu-Hung ; Abdallah, Rami ; Singh, Prashant ; Goel, Manish

  • Author_Institution
    Texas Instrum., Dallas, TX, USA
  • Volume
    46
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    721
  • Lastpage
    730
  • Abstract
    Battery life specifications drive the power consumption requirements of integrated circuits in implantable, wearable, and portable medical devices. In this paper, we present an embedded processor platform chip using an ARM Cortex-M3 suitable for mapping medical applications requiring microwatt power consumption. Ultra-low-power operation is achieved via 0.5-1.0 V operation, a 28 fW/bit fully differential subthreshold 6T SRAM, a 90%-efficient DC-DC converter, and a 100-nJ fast Fourier transform (FFT) accelerator to reduce processor workload. Using a combination of novel circuit design, system architecture, and SoC implementation, the first sub-microwatt per channel electroencephalograph (EEG) seizure detection is demonstrated.
  • Keywords
    DC-DC power convertors; SRAM chips; biomedical electronics; electroencephalography; embedded systems; fast Fourier transforms; integrated circuit design; low-power electronics; microcontrollers; seizure; system-on-chip; ARM Cortex-M3; DC-DC converter; EEG; FFT accelerator; SoC; battery life specification; differential subthreshold 6T SRAM; fast Fourier transform accelerator; implantable medical device; integrated circuit design; integrated circuit power consumption; medical system-on-chip application; microwatt embedded processor platform chip; portable medical device; sub-microwatt per channel electroencephalograph seizure detection; ultra-low-power operation; wearable medical device; Computer architecture; Converters; Frequency control; Rails; Random access memory; System-on-a-chip; Threshold voltage; DC-DC converter; EEG; FFT; SRAM; seizure detection; ultra-low power;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2011.2108910
  • Filename
    5719133