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A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device
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Keep it simple: A novel technique for measuring airflow using a wireless patch.

Stephanie Zandieh1, Michael A Kirschenbaum2, Harly Greenberg3

  • 1Division of Pediatric Pulmonary and Sleep Medicine, Rutgers New Jersey Medical School/RWJ Barnabas Health, New Brunswick, New Jersey, USA.

Sleep Health
|December 6, 2022
PubMed
Summary
This summary is machine-generated.

New wireless patches show promise for home sleep apnea testing, accurately detecting respiratory signals compared to traditional polysomnography. This innovative method could overcome barriers to obstructive sleep apnea diagnosis.

Keywords:
AHIHSATObstructive sleep apneaTechnology

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Area of Science:

  • Sleep Medicine
  • Medical Devices
  • Respiratory Physiology

Background:

  • Home sleep testing (HST) for obstructive sleep apnea (OSA) faces patient-related barriers.
  • Polysomnography (PSG) is the gold standard but can be cumbersome.
  • There is a need for more accessible and patient-friendly diagnostic tools for OSA.

Purpose of the Study:

  • To evaluate a novel wireless patch system for detecting OSA.
  • To compare the accuracy of the wireless patches' respiratory signals against standard PSG.
  • To assess the safety of the wireless patch device.

Main Methods:

  • 25 patients undergoing PSG for OSA were enrolled.
  • Wireless patches on the chest and abdomen recorded respiratory effort and airflow surrogates.
  • Data from patches and PSG were scored by a Registered Polysomnographic Technologist.
  • Linear regression and Bland-Altman analyses compared apnea-hypopnea indices (AHI).
  • Bench testing assessed signal accuracy across different body types.

Main Results:

  • A strong correlation was found between the device patch and PSG for overall AHI (r=0.979, P<.001).
  • Significant correlations were also observed for supine (r=0.866) and nonsupine (r=0.983) AHI.
  • Bench testing revealed consistent respiratory signal accuracy regardless of body characteristics.

Conclusions:

  • The wireless device patch demonstrates effectiveness in measuring respiratory dynamics for OSA evaluation.
  • These preliminary findings suggest a promising, innovative approach for home sleep testing.
  • The device shows potential to improve accessibility and patient adherence in OSA diagnosis.