{"title":"使用软磁弹性智能笔诊断帕金森病","authors":"","doi":"10.1038/s44286-025-00228-4","DOIUrl":null,"url":null,"abstract":"We developed a soft magnetoelastic smart pen with ferrofluid ink that converts hand motions into precise electrical signals as a low-cost and easily accessible Parkinson’s disease diagnostic. Neural network-assisted analysis of handwriting motion captured by the smart pen in a preliminary human study accurately identified individuals with Parkinson’s disease.","PeriodicalId":501699,"journal":{"name":"Nature Chemical Engineering","volume":"2 6","pages":"348-349"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnosing Parkinson’s disease using a soft magnetoelastic smart pen\",\"authors\":\"\",\"doi\":\"10.1038/s44286-025-00228-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We developed a soft magnetoelastic smart pen with ferrofluid ink that converts hand motions into precise electrical signals as a low-cost and easily accessible Parkinson’s disease diagnostic. Neural network-assisted analysis of handwriting motion captured by the smart pen in a preliminary human study accurately identified individuals with Parkinson’s disease.\",\"PeriodicalId\":501699,\"journal\":{\"name\":\"Nature Chemical Engineering\",\"volume\":\"2 6\",\"pages\":\"348-349\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Chemical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44286-025-00228-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44286-025-00228-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnosing Parkinson’s disease using a soft magnetoelastic smart pen
We developed a soft magnetoelastic smart pen with ferrofluid ink that converts hand motions into precise electrical signals as a low-cost and easily accessible Parkinson’s disease diagnostic. Neural network-assisted analysis of handwriting motion captured by the smart pen in a preliminary human study accurately identified individuals with Parkinson’s disease.