Apparatus and associated methods relate to determining a fit-quality metric for a mask/face combination based upon a calculated dead-space volume between a virtual mask and a virtual face virtually aligned so as to create an integrity seal circumscribing a mouth and nose region. In an illustrative embodiment, an interactive virtual fitting system may receive a three-dimensional (3D) virtual face associated with a person. The system may retrieve 3D models of various respirators selected by user determined criteria. The system may then compute a fit-quality metric for each of the retrieved 3D models. The potential wearer may then be presented with the metrics for review. The potential wearer may select a respirator based upon these computed metrics. A virtual fitting of many respirators may advantageously reduce the time needed for selecting a properly fitting respirator while simultaneously ensuring that the selected respirator may be comfortable and well fitting.

There is provided a computing device comprising: at least one processor; and a memory comprising instructions that, when executed by the at least one processor, cause the at least one processor to: receive data indicative of a gas characteristic in a sealed space formed by a face of the wearer and a negative pressure reusable respirator; determine performance of a respirator seal check by the wearer; determine that the negative pressure reusable respirator is being worn by a wearer; perform one or more actions in response to determining that the respirator is being worn by the wearer and the wearer has not performed a respirator seal check that satisfies one or more safety rules; and alter the one or more actions in response to determining that the negative pressure reusable respirator is being worn by the wearer and the wearer has performed a respirator seal check that satisfies one or more safety rules. There is also provided a system using such computing device.

There is provided a computing device comprising: at least one processor; and a memory comprising instructions that, when executed by the at least one processor, cause the at least one processor to: receive data indicative of a gas characteristic in a sealed space formed by a face of the wearer and a negative pressure reusable respirator; determine performance of a respirator seal check by the wearer; determine that the negative pressure reusable respirator is being worn by a wearer; perform one or more actions in response to determining that the respirator is being worn by the wearer and the wearer has not performed a respirator seal check that satisfies one or more safety rules; and alter the one or more actions in response to determining that the negative pressure reusable respirator is being worn by the wearer and the wearer has performed a respirator seal check that satisfies one or more safety rules. There is also provided a system using such computing device.

A mask seal test method, device, and system of using the same are described herein. One method for testing a mask seal can include blocking a respirator cartridge to create pressure within a mask, wherein the mask includes a pressure sensor, measuring pressure values within the mask using the pressure sensor, and notifying a user in response to an increased pressure decay value among the pressure values received by the mask identification reader.

A mask seal test method, device, and system of using the same are described herein. One method for testing a mask seal can include blocking a respirator cartridge to create pressure within a mask, wherein the mask includes a pressure sensor, measuring pressure values within the mask using the pressure sensor, and notifying a user in response to an increased pressure decay value among the pressure values received by the mask identification reader.

The respirator fit monitor described herein can be worn continuously by users so as to provide an indication as to how well their masks are fitting during use, thereby providing quantitative, wearable fit testers available for continuous use in real-life situations. The monitor includes a low-cost optical particle sensor assembly and controller unit for performing mask fit tests by comparing particle concentrations inside and outside of the mask. The fit test monitor is low cost and wearable, capable of dual sampling, capable of fit factor ratios well above 100, is battery powered and provides near real time measurements with a means for indicating the fit of the mask. The system includes wired or wireless communications for data logging, analysis and display capabilities.

The respirator fit monitor described herein can be worn continuously by users so as to provide an indication as to how well their masks are fitting during use, thereby providing quantitative, wearable fit testers available for continuous use in real-life situations. The monitor includes a low-cost optical particle sensor assembly and controller unit for performing mask fit tests by comparing particle concentrations inside and outside of the mask. The fit test monitor is low cost and wearable, capable of dual sampling, capable of fit factor ratios well above 100, is battery powered and provides near real time measurements with a means for indicating the fit of the mask. The system includes wired or wireless communications for data logging, analysis and display capabilities.

In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.