BACKGROUND
Shift towards mask personalization
Sleep apnea masks have traditionally been a point of discomfort for many patients, often being too cumbersome and generic to wear comfortably. Their one-size-fits-all design has led to a less-than-ideal experience for patients needing continuous positive airway pressure (CPAP) therapy.
There is a growing recognition of the need to personalize sleep apnea masks. A proper fit is not just about comfort but also about the efficacy of the therapy. A personalized mask can engage and motivate patients, thus contributing to their overall health and lifestyle.
Role of AR technology
The advent of AR and 3D scanning technology has introduced a new era of personalized mask fitting. This technology aims to ensure that every patient receives a CPAP mask that fits their unique facial structure, thereby improving the comfort and effectiveness of their treatment.
TASK
The Philips Mask Selector 3D software
Patients often struggle with CPAP masks that do not fit well, leading to a decrease in therapy compliance and satisfaction. The lack of personalized fit options has been a barrier to effective sleep therapy, with patients facing challenges that range from discomfort to suboptimal treatment outcomes.
How might we use AR and 3D scanning technology to streamline the mask-fitting process for CPAP therapy patients and business customers?
SOLUTION
A Clinically-Validated Solution
The Philips Mask Selector 3D software represents a pioneering step in CPAP mask fitting. It's the first of its kind — a clinically validated tool that combines 3D facial scanning technology with a proprietary algorithm to enhance patient and provider experiences.
With a staggering 52% reduction in patient refits within the first 90 days of compliance, the Mask Selector 3D streamlines the fitting process, ensuring a more accurate fit from the outset and reducing the need for subsequent adjustments.
Video Demo
KEY FEATURES
Advanced Facial Contour Mapping
The software utilizes sophisticated facial contour mapping technology, extracting over 46,200 points of contour data. It takes into account variations in facial structure due to gender, ethnicity, and other factors. This allows for a personalized mask recommendation that is tailored to the individual's unique facial geometry.
Data-Driven Recommendations
The Mask Selector 3D employs a data-driven approach by capturing multiple images and key data points of the patient's face. It then processes this data through an algorithm developed from thousands of facial scans, ensuring that the mask recommendation is as accurate as possible.
Personalized Suggestions
Based on the comprehensive data analysis, the Mask Selector 3D recommends the optimal mask type, cushion size, and frame size for the patient.
