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Brief Review — Development of the polysomnographic database on CD-ROM

Should be One of the Earliest Polysomnographic Datasets for Sleep Apnea

Sik-Ho Tsang · 2025-05-05 13:10 · 1 claps · 1.4 min read
#deep-learning #artificial-intelligence #obstructive-sleep-apnea #polysomnography #osa
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Wiki topics: ML · Machine Learning AI · AI · General EDU · Education & Learning 💪 · Fitness & Wellness

Brief Review — Development of the polysomnographic database on CD-ROM

Should be One of the Earliest Polysomnographic Datasets for Sleep Apnea

Full disclosure of the polysomography data

Full disclosure of the polysomography data

**Development of the polysomnographic database on CD-ROM MIT-BIH, by Tokyo Kasei University, and Massachusetts Institute of Technology 1999 PCN, Over 300 Citations **(Sik-Ho Tsang @ Medium)

OSA 2021 [AIOSA] 2022 [OSASUD] ==== My Healthcare and Medical Related Paper Readings ==== ==== My Other Paper Readings Are Also Over Here ====

  • This is a short paper talking about the data stored in a CD-ROM, which were obtained from 16 subjects about sleep apnea.
  • The physiological signals include electroencephalogram, electromyogram, electrooculogram, invasive blood pressure, respiratory wave, oxygen saturation, and cardiac volume as measured by VEST method.
  • Polysomnographic waveforms were displayed on CRT display and edited by using a program called WAVE (Waveform Analyzer, Viewer, and Editor) which was developed at Massachusetts Institute of Technology.
  • 16 PSG data is from 60 male subjects with or without sleep apnea syndrome. The mean age of the subjects was 40 (range: 32–56).
  • The recording time was between 2 and 7 h according to the patients.
  • The physiological signals were digitized at a sampling interval of 250 Hz and 12 bits/sample.
  • Header files also include the time of events during polysomnography, such as sleep apnea, or the period of continuous positive airway pressure (CPAP) and recorded on supplement floppy disk.
  • QRS annotation files are also included which has the detected QRS wave in ECG.
  • Sleep stage files are also included in which the sleep stage was determined by authors according to the criteria of Rechtschaffen and Kales.

Physiological data

Physiological data


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