Camera-based vital signs monitoring during sleep – A proof of concept study

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Polysomnography (PSG) is the current gold standard for the diagnosis of sleep disorders. However, this multiparametric sleep monitoring tool also has some drawbacks, e.g. it limits the patient's mobility during the night and it requires the patient to come to a specialized sleep clinic or hospital to attach the sensors. Unobtrusive techniques for the detection of sleep disorders such as sleep apnea are therefore gaining increasing interest. Remote photoplethysmography using video is a technique which enables contactless detection of hemodynamic information. Promising results in near-infrared have been reported for the monitoring of sleep-relevant physiological parameters pulse rate, respiration and blood oxygen saturation. In this study we validate a contactless monitoring system on eight patients with a high likelihood of relevant obstructive sleep apnea, which are enrolled for a sleep study at a specialized sleep center. The dataset includes 46.5 hours of video recordings, full polysomnography and metadata. The camera can detect pulse and respiratory rate within 2 beats/breaths per minute accuracy 92% and 91% of the time, respectively. Estimated blood oxygen values are within 4 percentage-points of the finger-oximeter 89% of the time. These results demonstrate the potential of a camera as a convenient diagnostic tool for sleep apnea, and sleep disorders in general.
Original languageEnglish
JournalIEEE Journal of Biomedical and Health Informatics
VolumeXX
Issue numberX
Early online date18 Dec 2020
DOIs
Publication statusE-pub ahead of print - 18 Dec 2020

Keywords

  • Contactless monitoring
  • Sleep apnea
  • Sleep diagnostics
  • Near-infrared
  • Camera
  • sleep diagnostics
  • Synchronization
  • Sleep
  • near-infrared
  • Lighting
  • Cameras
  • Sensors
  • sleep apnea
  • Monitoring

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