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Using off-the-shelf lossy compression for wireless home sleep staging.

Kun-Chan Lan1, Da-Wei Chang1, Chih-En Kuo2

  • 1Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan; Institute of Medical Informatics, National Cheng Kung University, Tainan 701, Taiwan.

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Lossy compression of Polysomnography (PSG) data using SPIHT can significantly reduce data size for wireless home sleep staging while maintaining high accuracy in sleep stage classification.

Keywords:
Home sleep stagingPSGSPIHT compressionSleep EEG

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Sleep Medicine

Background:

  • Increasing interest in wireless home sleep staging systems.
  • Challenge of transmitting large Polysomnography (PSG) data.
  • Need to reduce data size for efficient transmission and storage.

Purpose of the Study:

  • To investigate the impact of lossy compression on automated sleep staging.
  • To determine the feasibility of using lossy compression for wireless home sleep staging.
  • To reduce PSG data transmission/storage while preserving sleep stage classification information.

Main Methods:

  • Examined off-the-shelf lossy compression (SPIHT) on PSG data from 20 healthy subjects.
  • Utilized various compression levels to assess different degrees of data loss.
  • Employed a rule-based automatic sleep staging method for classification.

Main Results:

  • Achieved over 60% energy saving.
  • Maintained high accuracy (>84%) in sleep stage classification.
  • Demonstrated effectiveness of SPIHT for compressing multi-channel PSG data.

Conclusions:

  • This study is the first to quantify tolerable loss in compressing multi-channel PSG data for sleep analysis.
  • Lossy SPIHT compression is feasible for wireless home sleep staging.
  • Data reduction is possible without significantly compromising sleep stage classification accuracy.