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

[Display omitted] •A novel, biocompatible smart face mask capable of continuously monitoring respiration and analyzing health data is presented.•The fabrication process entails the deposition of graphene-based nanocomposite over commercial surgical masks.•The smart face mask is comfortable, user-fri...

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Veröffentlicht in:Materials & design 2023-06, Vol.230, p.111970-111970, Article 111970
Hauptverfasser: Cheraghi Bidsorkhi, Hossein, Faramarzi, Negin, Ali, Babar, Ballam, Lavanya Rani, D'Aloia, Alessandro Giuseppe, Tamburrano, Alessio, Sarto, Maria Sabrina
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Sprache:eng
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Zusammenfassung:[Display omitted] •A novel, biocompatible smart face mask capable of continuously monitoring respiration and analyzing health data is presented.•The fabrication process entails the deposition of graphene-based nanocomposite over commercial surgical masks.•The smart face mask is comfortable, user-friendly, and detects respiration rate without compromising wearability.•The smart face mask exhibits a fast response time (∼42 ms) and long-lasting durability (greater than 1000 cycles).•The smart face mask communicates to a custom-made mobile App to monitor respiration and send alerts for cough or dyspnea. After the pandemic of SARS-CoV-2, the use of face-masks is considered the most effective way to prevent the spread of virus-containing respiratory fluid. As the virus targets the lungs directly, causing shortness of breath, continuous respiratory monitoring is crucial for evaluating health status. Therefore, the need for a smart face mask (SFM) capable of wirelessly monitoring human respiration in real-time has gained enormous attention. However, some challenges in developing these devices should be solved to make practical use of them possible. One key issue is to design a wearable SFM that is biocompatible and has fast responsivity for non-invasive and real-time tracking of respiration signals. Herein, we present a cost-effective and straightforward solution to produce innovative SFMs by depositing graphene-based coatings over commercial surgical masks. In particular, graphene nanoplatelets (GNPs) are integrated into a polycaprolactone (PCL) polymeric matrix. The resulting SFMs are characterized morphologically, and their electrical, electromechanical, and sensing properties are fully assessed. The proposed SFM exhibits remarkable durability (greater than1000 cycles) and excellent fast response time (∼42 ms), providing simultaneously normal and abnormal breath signals with clear differentiation. Finally, a developed mobile application monitors the mask wearer's breathing pattern wirelessly and provides alerts without compromising user-friendliness and comfort.
ISSN:0264-1275
1873-4197
0264-1275
DOI:10.1016/j.matdes.2023.111970