Title :
Microwatt embedded processor platform for medical system-on-chip applications
Author :
Sridhara, Srinivasa R. ; DiRenzo, Michael ; Lingam, Srinivas ; Lee, Seok-Jun ; Blazquez, Raul ; Maxey, Jay ; Ghanem, Samer ; Lee, Yu-Hung ; Abdallah, Rami ; Singh, Prashant ; Goe, M.
Author_Institution :
Kilby Labs./Syst. & Applic. R&D Center, Texas Instrum., Dallas, TX, USA
Abstract :
A medical system-on-chip (SoC) that integrates an ARM Cortex-M3 processor is presented. 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 :
SRAM chips; electroencephalography; embedded systems; fast Fourier transforms; microprocessor chips; system-on-chip; ARM Cortex M3 processor; DC-DC converter; differential subthreshold 6T SRAM; electroencephalograph seizure detection; fast Fourier transform accelerator; medical system-on-chip applications; microwatt embedded processor platform; ultra low power operation; voltage 0.5 V to 1 V; Computer architecture; Converters; Electroencephalography; Low power electronics; Microprocessors; Random access memory; System-on-a-chip; DC-DC converter; EEG; FFT; SRAM; Ultra-low power; seizure detection;
Conference_Titel :
VLSI Circuits (VLSIC), 2010 IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5454-9
DOI :
10.1109/VLSIC.2010.5560251
