Low Power Modes for Analog Front-end in the Swarm
Qingxue Zhang, Roozbeh Jafari

Citation
Qingxue Zhang, Roozbeh Jafari. "Low Power Modes for Analog Front-end in the Swarm". Talk or presentation, October, 2014; Poster presented at the 2014 TerraSwarm Annual Meeting.

Abstract
Wearable bio-medical sensors are gaining popularity for healthcare and fitness applications. Low power design is essential for enhanced wearability and form factor minimization. Introduce the notion of low power modes for analog front-end (AFE) to only acquire key samples and bits of bio-potential signals minimizing the power consumption, subject to the application accuracy constraints. Turn off the AFE when sampling is not essential. Validate the proposed technique in the context of wrist-based heart rate monitoring devices. Our approach includes: 1)Dynamic time warping (DTW)-based method to evaluate the significance of each sample; 2)Greedy search-based method to iteratively remove the least significant sample from remaining samples; 3)eplace removed samples with interpolated measurements to recover the morphology of ECG signal.

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Citation formats

• HTML

  Qingxue Zhang, Roozbeh Jafari. <a
  href="http://www.terraswarm.org/pubs/397.html"><i>Low
  Power Modes for Analog Front-end in the
  Swarm</i></a>, Talk or presentation,  October,
  2014; Poster presented at the <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• Plain text

  Qingxue Zhang, Roozbeh Jafari. "Low Power Modes for
  Analog Front-end in the Swarm". Talk or presentation, 
  October, 2014; Poster presented at the <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• BibTeX

  @presentation{ZhangJafari14_LowPowerModesForAnalogFrontendInSwarm,
      author = {Qingxue Zhang and Roozbeh Jafari},
      title = {Low Power Modes for Analog Front-end in the Swarm},
      month = {October},
      year = {2014},
      note = {Poster presented at the <a
                href="http://www.terraswarm.org/conferences/14/annual"
                >2014 TerraSwarm Annual Meeting</a>.},
      abstract = {Wearable bio-medical sensors are gaining
                popularity for healthcare and fitness
                applications. Low power design is essential for
                enhanced wearability and form factor minimization.
                Introduce the notion of low power modes for analog
                front-end (AFE) to only acquire key samples and
                bits of bio-potential signals minimizing the power
                consumption, subject to the application accuracy
                constraints. Turn off the AFE when sampling is not
                essential. Validate the proposed technique in the
                context of wrist-based heart rate monitoring
                devices. Our approach includes: 1)Dynamic time
                warping (DTW)-based method to evaluate the
                significance of each sample; 2)Greedy search-based
                method to iteratively remove the least significant
                sample from remaining samples; 3)eplace removed
                samples with interpolated measurements to recover
                the morphology of ECG signal. },
      URL = {http://terraswarm.org/pubs/397.html}
  }
  

Posted by Qingxue Zhang, Ph.D. Student on 27 Oct 2014.