A tecnologia vestavel emergente usa fibras minaºsculas que podem monitorar sua pressão arterial, frequência cardaaca e muito mais
As fibras vestaveis são altamente sensaveis e flexaveis e podem ser usadas para medir a pressão arterial, frequência cardaaca, qualidade do sono, naveis de colesterol, naveis de oxigaªnio e outros sinais vitais .
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)
A tecnologia vestavel baseada em microfibras e nanofibras pode ser usada para monitorar os sinais vitais de um paciente em todos os momentos. Crédito: Universidade Nacional de Cingapura
Uma camisa que monitora sua pressão sanguínea ou um par de meias que podem controlar seus naveis de colesterol podem estar a apenas alguns anos de se tornar realidade.
Em um artigo publicado na Applied Physics Reviews , os pesquisadores examinam o uso de microfibras, e nanofibras ainda menores, como monitores vestaveis que podem monitorar os sinais vitais de um paciente.
A tecnologia baseada em microfibra e nanofibra trata das preocupações crescentes da comunidade médica sobre o monitoramento de doenças crônicas como diabetes, asma, obesidade e hipertensão com o envelhecimento da população.
"Portanto, a demanda por um sistema de saúde personalizado que detecte os sinais biola³gicos dos usuários em qualquer local e hora estãocrescendo rapidamente", disse a autora Rituparna Ghosh.
“A comunidade médica estãosempre canãtica, enquanto a indústria do bem-estar já estãousando esses conceitosâ€, disse ele. "Precisamos de muito mais estudos de causa e efeito. Precisamos reunir informações para que os médicos realmente aceitem que se trata de informações em que podem confiar."
As fibras vestaveis são altamente sensaveis e flexaveis e podem ser usadas para medir a pressão arterial, frequência cardaaca, qualidade do sono, naveis de colesterol, naveis de oxigaªnio e outros sinais vitais . Devido ao seu tamanho pequeno , eles podem ser aplicados diretamente na pele ou tecidos em roupas como camisas, meias, gravatas ou pulseiras.
"Vocaª poderia ter rela³gios. Vocaª poderia ter tatuagens. a‰ utiliza¡vel em quase todas as formas", disse Ghosh. "Vocaª poderia ter algo como uma ma¡scara facial. Pode ser um lena§o que vocêcoloca no pulso e comea§a a fornecer dados."
O autor Seeram Ramakrishna, da Universidade Nacional de Cingapura, disse que uma das tecnologias de nanofibras mais promissoras - sensores piezoelanãtricos, que são alimentados por energia meca¢nica - pode estar pronta para entrar no mercado em menos de três anos.
Outras tecnologias, disse ele, podem estar prontas para uso paºblico em qualquer lugar de cinco a oito anos.
Entre agora e então, Ramakrishna disse que mais pesquisas precisam ser feitas para tornar os sensores de fibra mais dura¡veis, para que possam ser usados ​​repetidamente e chegar a uma fonte de energia para eles que seja confia¡vel e porta¡til. Tambanãm levara¡ tempo, disse ele, para garantir a comunidade médica que a tecnologia éprecisa e seus dados podem ser confia¡veis ​​para uso com pacientes do mundo real.
“A comunidade médica estãosempre canãtica, enquanto a indústria do bem-estar já estãousando esses conceitosâ€, disse ele. "Precisamos de muito mais estudos de causa e efeito. Precisamos reunir informações para que os médicos realmente aceitem que se trata de informações em que podem confiar."
O valor de mercado global da tecnologia vestavel foi estimado em mais de US $ 32 bilhaµes em 2019 e espera-se que pule para atéUS $ 74 bilhaµes em 2025, a medida que novos aplicativos continuam a surgir.