Emfit movement sensor in evaluating nocturnal breathing

Respir Physiol Neurobiol. 2013 Jun 15;187(2):183-9. doi: 10.1016/j.resp.2013.03.009. Epub 2013 Apr 9.

Abstract

Obstructive sleep apnea (OSA) diagnostics by the movement sensors static charge-sensitive bed (SCSB) and electromechanical film transducer (Emfit) is based on dividing the signal into different breathing patterns. The usage of non-invasive mattress sensors in diagnosing OSA is particularly tempting if patient has many other non sleep-related monitoring sensors. However, a systematic comparison of the apnea-hypopnea index (AHI) with Emfit-parameters is lacking. In addition to periodic breathing, SCSB and Emfit visualize episodes of sustained negative increases in intrathoracic pressure (increased respiratory resistance, IRR), of which relevance is still ambiguous. Our aim is to compare Emfit-parameters with the AHI and to provide a description of the patients suffering from IRR. Time percentage with all obstructive periodic Emfit breathing patterns (OPTotal%) showed the best correlation with the AHI. The OPTotal percentage of 21 yielded to excellent accuracy in detecting subjects with an AHI of 15/h or more. Patients with IRR received high scores in GHQ-12-questionnaire. An Emfit movement sensor might offer additional information in OSA diagnostics especially if nasal pressure transducer cannot be used.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Airway Resistance / physiology
  • Female
  • Humans
  • Kinesthesis*
  • Male
  • Middle Aged
  • ROC Curve
  • Respiration*
  • Sensitivity and Specificity
  • Sleep Apnea Syndromes / diagnosis*
  • Sleep Apnea Syndromes / physiopathology*
  • Statistics as Topic
  • Statistics, Nonparametric
  • Surveys and Questionnaires
  • Time Factors
  • Transducers*
  • Young Adult