WEARABLE RESPIRATOR FIT ASSESSMENT SYSTEM

Smart overview of the Invention

The wearable respirator fit assessment system offers a real-time solution for fit testing and continuous monitoring of respirators. It features a wearable device that attaches to the respirator, incorporating multimodal sensors such as pressure and temperature sensors to detect changes in the respirator's dead space. An embedded microcontroller processes this data using a machine learning model to classify respirator fit independently, eliminating the need for additional hardware. Users receive immediate feedback via visual, auditory, and haptic notifications, with fit data communicated to a connected device through Bluetooth or other wireless protocols.

Traditional fit testing methods, such as qualitative and quantitative testing, have limitations like subjectivity, high cost, and impracticality during emergencies. The increasing need for reliable respiratory protection, highlighted by events like the COVID-19 pandemic, calls for an accessible and continuous fit assessment solution. Existing systems are often bulky and complex, limiting their use to controlled environments. This new system integrates advanced sensing technology and machine learning to provide real-time feedback, making it suitable for both professionals and the general public.

Key advancements of this system include eliminating consumables and expensive equipment, enabling on-device fit evaluation, and supporting continuous monitoring during use. It is designed to be compatible with a wide range of users and respirator models, leveraging robust training datasets. This innovation aims to revolutionize respiratory protection by improving safety outcomes and offering a user-friendly solution for maintaining optimal fit in various environments.

The system detects signals from sensors in communication with the respirator's dead space, formed by the seal between the respirator and the user's face. As the user breathes, the dead space's properties change, which the sensors measure. This data is analyzed to perform fit assessments and continuous seal monitoring. Communication with a connected device, such as a smartphone, allows for user feedback, fit testing guidance, and educational resources to ensure proper respirator use and maintenance.

Various embodiments of the system include sensors housed within an enclosure, capable of being mounted internally or externally on the respirator. Sensor data can be processed internally or externally, with machine learning models running on the device to assess fit. Users receive alerts through visual, auditory, or haptic signals. The system can connect with electronic devices for remote operation, providing real-time feedback and notifications when fit is compromised. Additionally, it offers instructional content and learning materials to guide users in achieving a proper fit.