Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition

Abstract

Breathing condition is an essential physiological indicator closely related to human health. Wearable flexible breath sensors for respiration pattern recognition have attracted much attention as they can provide physiological signal details for personal medical diagnosis, health monitoring, etc. However, present smart mask based on flexible breath sensors using single-mode detection can only detect a relatively small number of respiration patterns, especially lacking the ability to accurately distinguish mouth breath from nasal one. Herein, a smart face mask incorporated with a dual-sensing mode breathing sensor that can recognize up to eight human respiration patterns is fabricated. The breathing sensor uses novel three dimensional (3D) buckling carbon nanofiber mats as active materials to realize the function of pressure and temperature sensing simultaneously. The pressure model of the sensors shows a high sensitivity that are able to precisely detect pressure generated by respiratory airflow, while the temperature model can realize non-contact temperature variation caused by breath. Benefit from the capacity of real-time recognition and accurate distinguishing between mouth breath and nasal breath, the face mask is further developed to monitor the development of mouth breathing syndrome. The dual-sensing mode sensor has great potential applications in health monitoring.

A Wearable Device Integrated with Deep Learning‐Based Algorithms for the Analysis of Breath Patterns

“…In some studies, measurements are made using more than one technique for multisensitive analysis. [49][50][51] In addition to direct breath analysis methods, the analysis can be made with machine learning and deep learning techniques for automatic and classified results. [35,39,46,47,50] These techniques are differentiated by their sensor and the developed analysis model.…”

Wearable Graphene-based smart face mask for Real-Time human respiration monitoring

“…Indeed, different single-mode and multi-mode [12] wearable breath sensors for continuous human respiration have been developed. Although multi-modal sensors can detect multi signals and simplify signal processing, their mass production is challenging due to costly materials and fabrication process complexity [12] , [13] . To date, extensive research has proposed monomodal flexible sensors employing various sensing mechanisms to realize respiration monitoring, including humidity, pressure, and strain.…”

Braille Recognition by E-skin System based on Binary Memristive neural network

“…has been demonstrated 1,2 . Some sensitive sensors were used for the detection of human joint activity and Breathing condition [3][4][5] .…”