Biologix offers a home-based polysomnography solution for diagnosing and monitoring obstructive sleep apnea and snoring, utilizing a smartphone and a compact wireless sensor. The platform provides over 90% accuracy in assessments, enabling healthcare providers to deliver precise diagnoses without the need for traditional sleep labs.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HIFounders
Product
Problem
Diagnosing and monitoring sleep apnea and snoring traditionally requires patients to visit specialized sleep labs, which can be inconvenient and costly. Traditional polysomnography can be cumbersome, limiting accessibility and frequency of testing.
Solution
Biologix offers a home-based sleep monitoring solution that simplifies the diagnosis and management of sleep apnea and snoring. The system uses a smartphone application and a compact, wireless sensor to collect sleep data in the patient's own home. This approach provides a convenient and accurate alternative to traditional sleep lab testing, with reported accuracy exceeding 90% compared to standard polysomnography. Healthcare providers can leverage the platform to deliver precise diagnoses and monitor treatment effectiveness remotely.
Target Audience
The primary target audience includes physicians, sleep specialists, and other healthcare providers who diagnose and manage sleep disorders, as well as patients seeking a convenient and accurate way to monitor their sleep health.
Features
- Wireless sensor for comfortable and unobtrusive data collection during sleep
- Smartphone application for data capture, processing, and transmission
- Automated analysis of sleep patterns, including snoring and apneic events
- Integrated test for capturing and classifying the intensity and duration of snoring using the patient's smartphone
- Cloud-based platform for secure data storage and remote access by healthcare providers
- Reports generated with sensitivity, specificity, and accuracy above 90% when compared with other types of polysomnographies