Estimation of delta wave by mutual information of heartbeat during sleep

Yosuke Kurihara, Kajiro Watanabe, Kazuyuki Kobayashi, Hiroshi Tanaka

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The quality of sleep is evaluated based on the sleep stages judged by R-K method or the manual of American Academy of Sleep Medicine. The brainwaves, eye movements, and chin EMG of sleeping subjects are used for the judgment. These methods above, however, require some electrodes to be attached to the head and the face to obtain the brainwaves, eye movements, and chin EMG, thus making the measurements troublesome to be held on a daily basis. If non-invasive measurements of brainwaves, eye movements, and chin EMG are feasible, or their equivalent data can be estimated through other bio-signals, the monitoring of the quality of daily sleeps, which influences the health condition, will be easy. In this paper, we discuss the appearance rate of delta wave occurrences, which is deeply related with the depth of sleep, can be estimated based on the average amount of mutual information calculated by pulse wave signals and body movements measured non-invasively by the pneumatic method. As a result, the root mean square error between the appearance rate of delta wave occurrences measured with a polysomnography and the estimated delta pulse was 14.93%.

Original languageEnglish
Pages (from-to)1550-1556+6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume128
Issue number10
DOIs
Publication statusPublished - 2008

Keywords

  • Delta wave
  • Heartbeat
  • Mutual information
  • Non-constraint bio sensing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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