A New Era of Home Sleep Apnea Testing.

Watch Full Video

WatchPAT®️ is an innovative Home Sleep Apnea Device (HSAT) that utilizes the peripheral arterial signal (PAT®️) for Sleep Apnea diagnosis.  It measures up to 7 channels (PAT®️ signal, heart rate, oximetry, actigraphy, body position, snoring, and chest motion) via three points of contact. Within one minute post-study, the raw data is downloaded and auto-scored identifying all types of apnea events. WatchPAT®️ provides AHI, AHIc, RDI, and ODI based upon True Sleep Time and Sleep Staging. The WatchPAT®️ Home Sleep Test (HST) is clinically validated with an 89% correlation to PSG1. The PAT signal was included in the 2017 AASM Clinical Practice Guidelines as technically adequate.

Key Features

Accurate Auto Scoring

Comprehensive report is created in less than a minute

< Back to All

Central Sleep Apnea

The Central PLUS Module enables specific identification of Central Sleep Apnea (CSA) and Percent of Sleep Time with Cheyne-Stokes Respiration

< Back to All

Seven Channels

PAT, HR, Pulse-oximetry, Actigraphy, Body Position, Snoring, Chest Motion

< Back to All

Treatment Compliance

Patient compliance with therapy can be monitored utilizing the cloud-based SleePATh system, helping to manage treatment outcomes.

< Back to All

High-quality leather strap not only increases the unique quality of the watch charm, but also one of the representative elements of elegant watch, highlighting the mens calm and capable. fake rolex Brown strap, the same day with a good clothing accessories in a single product, and Check, camel, ocean blue and other elements with, but also in the fall and winter, reflecting a leisurely style.

References on this page:

  1. Yalamanchali et al. JAMA Otolaryngnol Head Neck Surg, 2013, Diagnosis of Obstructive Sleep Apnea by Peripheral Arterial Tonometry (Meta-Analysis)
  2. Comparison of AHI using recording time versus sleep time Schutte – Rodin et al., J Sleep Abs supl 2014, p. A373
  3. Hedner J. et al. A Novel Adaptive Wrist Actigraphy Algorithm for Sleep-Wake Assessment in Sleep Apnea Patients. SLEEP, Vol. 27, No. 8, 2004 :1560-1566
  4. Hedner J. et al. Sleep Staging Based on Automimcal Signals: A Multi-Center Validation Study. JCSM. Journal of Sleep Medicine, Vol. 7, No. 3, 2011: 301 – 306
Site by Imaginet
Site by Imaginet