First and Only Disposable Home Sleep Apnea Test
- Same WatchPAT Simplicity, Accuracy and Reliability
- No Return Shipment, No Cleaning, Downloading or Charging, No Infection Risk
- Immediate access to sleep data for interpretation
- Data interpretation anytime, anywhere with Cloud based solution
WatchPAT ONE is designed for practices with:
- Limited access to capital
- Limited back office support
- Patients with access limitations to clinic
- Desire to grow HSAT program or facing significant backlog
True Sleep Time
Central Sleep Apnea
Accurate Auto Scoring
WatchPAT™ ONE measures 7 channels (PAT signal, heart rate, oximetry, actigraphy, body position, snoring and chest motion) via three points of contact. It’s 3 points of contact delivers 98% study success rate without compromising diagnostic capability.1
Improved Accuracy with Sleep Architecture
WatchPAT’s clinically validated Sleep Architecture provides information on sleep staging including sleep efficiency, sleep latency and REM latency.2,3 It also provides the added value of detecting REM related sleep apnea with REM and non-REM AHI.
Prevent up to 20% Misdiagnosis with True Sleep Time
- WatchPAT calculates AHI and RDI using the patient's True Sleep Time rather than the recorded time used in most commercially available HSAT’s.
- WatchPAT's True Sleep Time reduces the risk of misdiagnosis and misclassification that has been reported up to 20% with other HSAT's using total recording time.4
- True Sleep Time improves the accuracy.
High Accuracy with Central Sleep Apnea Identification
WatchPAT has been clinically proven to detect all types of apnea events.
The Central PLUS Module enables specific identification of Central Sleep Apnea (CSA) and Percent of Sleep Time with Cheyne-Stokes Respiration.
Automated Report in Just Seconds
Within one-minute post study, the raw data is downloaded, and auto-scored report generated with differentiating obstructive and central events, providing an AHI, RDI and ODI based upon True Sleep Time and Sleep Staging.
- Data on file
- 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
- 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
- Comparison of AHI using recording time versus sleep time Schutte – Rodin et al., J Sleep Abs supl 2014, p. A373