Energy-Efficient Respiratory Sounds Sensing for Personal Mobile Asthma Monitoring

@article{Oletic2016EnergyEfficientRS,
  title={Energy-Efficient Respiratory Sounds Sensing for Personal Mobile Asthma Monitoring},
  author={Dinko Oletic and Vedran Bilas},
  journal={IEEE Sensors Journal},
  year={2016},
  volume={16},
  pages={8295-8303}
}
Current medical practice of long-term chronic respiratory diseases treatment lacks a convenient method of empowering the patients and caregivers to continuously quantitatively track the intensity of respiratory symptoms. Such is asthmatic wheezing, occurring in respiratory sounds. We envision a mobile, personalized asthma monitoring system comprising of a wearable, energy-constrained acoustic sensor and smartphone. In this paper, we address the energy-burden of acquisition and streaming of… CONTINUE READING

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SHOWING 1-10 OF 37 REFERENCES

Message passing algorithms for compressed sensing: I. motivation and construction

  • 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo)
  • 2010
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

An Introduction To Compressive Sampling

  • IEEE Signal Processing Magazine
  • 2008
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Energy-Efficiency Analysis of Analog and Digital Compressive Sensing in Wireless Sensors

  • IEEE Transactions on Circuits and Systems I: Regular Papers
  • 2015
VIEW 2 EXCERPTS

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