• DocumentCode
    108292
  • Title

    A 345 µW Multi-Sensor Biomedical SoC With Bio-Impedance, 3-Channel ECG, Motion Artifact Reduction, and Integrated DSP

  • Author

    Van Helleputte, Nick ; Konijnenburg, Mario ; Pettine, Julia ; Dong-Woo Jee ; Hyejung Kim ; Morgado, Alonso ; Van Wegberg, Roland ; Torfs, Tom ; Mohan, Rachit ; Breeschoten, Arjan ; de Groot, Harmke ; Van Hoof, Chris ; Yazicioglu, Refet Firat

  • Author_Institution
    imec, Heverlee, Belgium
  • Volume
    50
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    230
  • Lastpage
    244
  • Abstract
    This paper presents a MUlti-SEnsor biomedical IC (MUSEIC). It features a high-performance, low-power analog front-end (AFE) and fully integrated DSP. The AFE has three biopotential readouts, one bio-impedance readout, and support for general-purpose analog sensors The biopotential readout channels can handle large differential electrode offsets ( ±400 mV), achieve high input impedance ( >500 M Ω), low noise ( 620 nVrms in 150 Hz), and large CMRR ( >110 dB) without relying on trimming while consuming only 31 μW/channel. In addition, fully integrated real-time motion artifact reduction, based on simultaneous electrode-tissue impedance measurement, with feedback to the analog domain is supported. The bio-impedance readout with pseudo-sine current generator achieves a resolution of 9.8 m Ω/ √Hz while consuming just 58 μW/channel. The DSP has a general purpose ARM Cortex M0 processor and an HW accelerator optimized for energy-efficient execution of various biomedical signal processing algorithms achieving 10 × or more energy savings in vector multiply-accumulate executions.
  • Keywords
    biological tissues; biomedical electronics; biomedical equipment; electric impedance measurement; electrocardiography; low-power electronics; medical signal processing; motion compensation; noise; signal resolution; 3-channel ECG; CMRR; HW accelerator optimization; MUSEIC; MUlti-SEnsor biomedical IC; analog domain feedback; bio-impedance readout; biomedical signal processing algorithm; biopotential readout channel; differential electrode offset; energy saving; energy-efficient execution; frequency 150 Hz; fully integrated DSP; fully integrated motion artifact reduction; general purpose ARM Cortex M0 processor; general-purpose analog sensor support; high-performance analog front-end; input impedance; low-power AFE; multi-sensor biomedical SoC; noise; power 31 muW; power 345 muW; power 58 muW; pseudo-sine current generator; real-time motion artifact reduction; resolution; simultaneous electrode-tissue impedance measurement; vector multiply-accumulate execution; Electrocardiography; Electrodes; Generators; Impedance; Noise; Sensors; System-on-chip; DSP; ECG; bio-impedance; biomedical; instrumentation amplifier; motion artifact reduction;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2014.2359962
  • Filename
    6923499