Uma tecnologia de visão computacional desenvolvida por engenheiros da Universidade de Cambridge agora foi desenvolvida em um aplicativo gratuito para celular para monitoramento regular dos naveis de glicose em pessoas com diabetes.
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)
Leitura do monitor de diabetes - Crédito: James Charles
Para quem tem diabetes, este aplicativo facilita todo o processo. Agora esqueci como era inserir os valores manualmente, mas sei que não gostaria de voltar a isso
James Charles
O aplicativo usa técnicas de visão computacional para ler e registrar os naveis de glicose, hora e data exibidos em um teste de glicose tapico atravanãs da ca¢mera de um telefone celular. A tecnologia, que não requer conexão com internet ou Bluetooth, funciona com qualquer tipo de medidor de glicose, em qualquer orientação e em diversos naveis de luz. Ele também reduz o desperdacio, eliminando a necessidade de substituir medidores de alta qualidade que não sejam Bluetooth, tornando-se uma solução econa´mica para o NHS.
Trabalhando com a empresa de testes de glicose do Reino Unido GlucoRx, os pesquisadores de Cambridge desenvolveram a tecnologia em um aplicativo gratuito para celular, chamado GlucoRx Vision, que agora estãodisponavel na Apple App Store e Google Play Store .
Para usar o aplicativo, o usua¡rio simplesmente tira uma foto do medidor de glicose e os resultados são lidos e registrados automaticamente, permitindo um monitoramento muito mais fa¡cil dos naveis de glicose no sangue.
Além dos medidores de glicose que as pessoas com diabetes usam diariamente, muitos outros tipos de medidores digitais são usados ​​nos setores médico e industrial. No entanto, muitos desses medidores ainda não tem conectividade sem fio, portanto, conecta¡-los a aplicativos de rastreamento de telefone geralmente requer entrada manual.
“Esses medidores funcionam perfeitamente bem, então não queremos que sejam enviados para aterros sanita¡rios são porque não tem conectividade sem fioâ€, disse o Dr. James Charles, do Departamento de Engenharia de Cambridge. “Queraamos encontrar uma maneira de adapta¡-los de uma forma econa´mica e ecologicamente correta usando um aplicativo para celular.â€
Além de seu interesse em resolver o desafio do ponto de vista da engenharia, Charles também tinha um interesse pessoal no problema. Ele tem diabetes tipo 1 e precisa fazer atédez leituras de glicose por dia. Cada leitura éentão inserida manualmente em um aplicativo de rastreamento para ajudar a determinar a quantidade de insulina que ele precisa para regular seus naveis de glicose no sangue.
“De um ponto de vista puramente egoasta, isso era algo que eu realmente queria desenvolverâ€, disse ele.
“Queraamos algo que fosse eficiente, rápido e fa¡cil de usarâ€, disse o professor Roberto Cipolla, também do Departamento de Engenharia. “O diabetes pode afetar a visão ou atémesmo levar a cegueira, por isso precisa¡vamos que o aplicativo fosse fa¡cil de usar para pessoas com visão reduzida.â€
A tecnologia de visão computacional por trás do aplicativo GlucoRx écomposta de duas etapas. Primeiro, a tela do medidor de glicose édetectada. Os pesquisadores usaram uma única imagem de treinamento e aumentaram-na com fundos aleata³rios, principalmente fundos com pessoas. Isso ajuda a garantir que o sistema seja robusto quando o rosto do usua¡rio for refletido na tela do telefone.
Em segundo lugar, uma rede neural chamada LeDigit detecta cada dagito na tela e os laª. A rede étreinada com dados sintanãticos gerados por computador, evitando a necessidade de rotulagem de dados que exige muito trabalho, normalmente necessa¡ria para treinar uma rede neural.
“Como a fonte desses medidores édigital, éfa¡cil treinar a rede neural para reconhecer muitas entradas diferentes e sintetizar os dadosâ€, disse Charles. “Isso o torna altamente eficiente para funcionar em um telefone celular.â€
“Nãoimporta em que orientação o medidor estão- noso testamos em todos os tipos de orientações, pontos de vista e naveis de luzâ€, disse Cipolla, que também émembro do Jesus College. “O aplicativo ira¡ vibrar ao ler as informações, então vocêrecebe um sinal claro quando faz isso corretamente. O sistema épreciso em uma gama de diferentes tipos de medidores, com precisaµes de leitura próximas a 100% â€
Além do monitor de glicose no sangue, os pesquisadores também testaram seu sistema em diferentes tipos de medidores digitais, como monitores de pressão arterial, balascas de cozinha e de banheiro. Os pesquisadores também apresentou recentemente seus resultados no 31 st Vision Conference Ma¡quina brita¢nica.
A Gluco-Rx inicialmente abordou a equipe de Cipolla em 2018 para desenvolver uma solução econa´mica e ecologicamente correta para o problema dos medidores de glicose não conectados e, uma vez que a tecnologia se mostrou suficientemente robusta, a empresa trabalhou com os pesquisadores de Cambridge para desenvolver o aplicativo.
“Temos trabalhado em parceria com a Universidade de Cambridge nesta solução única, que ajudara¡ a mudar o gerenciamento do diabetes nos anos que vira£oâ€, disse Chris Chapman, Diretor de Operações da GlucoRx. “Em breve disponibilizaremos esta solução para todos os nossos mais de 250.000 pacientes.â€
Quanto a Charles, que usa o aplicativo para monitorar seus naveis de glicose, ele disse que “torna todo o processo mais fa¡cil. Agora esqueci como era inserir os valores manualmente, mas sei que não gostaria de voltar a isso. Existem algumas áreas no sistema que ainda poderiam ser melhoradas, mas no geral estou muito feliz com o resultado. â€