Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography

Ganesh R. Naik, Paul P. Breen, Titus Jayarathna, Benjamin K. Tong, Danny J. Eckert, Gaetano D. Gargiulo

Research output: Contribution to journalArticlepeer-review

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Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.

Original languageEnglish
Article number703
Number of pages13
Issue number7
Publication statusPublished - Jul 2023


  • heart rate
  • morphic sensor
  • polysomnography
  • respiratory rate
  • wearables


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