Chul Kim, Kwangjin Lee, Jongin Kim, Dongwook Yang, Hyeonjun Lee, Gyeongub Moon, Yuna Kim, Dongrae Cho, Kwang Soo Bae, Gunhee Kim, Yongjo Kim, Changhee Lee
{"title":"基于多点传感有机发光二极管显示屏的移动心血管监测仪","authors":"Chul Kim, Kwangjin Lee, Jongin Kim, Dongwook Yang, Hyeonjun Lee, Gyeongub Moon, Yuna Kim, Dongrae Cho, Kwang Soo Bae, Gunhee Kim, Yongjo Kim, Changhee Lee","doi":"10.1038/s41467-025-56915-6","DOIUrl":null,"url":null,"abstract":"<p>Cardiovascular diseases are the major cause of death globally and require ubiquitous monitoring due to their asymptomatic yet modifiable nature. Photoplethysmography is an effective optical sensing technique for non-invasive health monitoring. However, its reliance on the current relatively large and rigid inorganic semiconductor-based light-emitting diodes and silicon photodiodes hampers high-resolution integration thus restricts a sensing from single measurement point. So, it limits detectable biomarkers to monitor cardiovascular diseases in a ubiquitous manner. In order to facilitate, here we report a single smartphone type multi-functional cardiovascular health monitor based on the massive array of organic photodiodes integrated into the most user interactive display device. Therefore, we achieved: 1) multi-point concurrent photoplethysmography and high-resolution dynamic image sensing, and 2) user-interactive sensing within the large display area. These advancements enabled new functions, including high-accuracy screening for cardiovascular diseases, blood pressure monitoring from both fingers, monitoring of finger blood vessels and flow dynamics, and single-device-based biofeedback. Applied machine learning enhanced diagnostic accuracy, with pilot studies showing results comparable to medical-grade devices. As a result, we believe smartphones harnessing the sensor organic light-emitting diode display could evolve into mobile health monitors and digital therapeutics thus revolutionizing diagnostic and treatment.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"25 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-point sensing organic light-emitting diode display based mobile cardiovascular monitor\",\"authors\":\"Chul Kim, Kwangjin Lee, Jongin Kim, Dongwook Yang, Hyeonjun Lee, Gyeongub Moon, Yuna Kim, Dongrae Cho, Kwang Soo Bae, Gunhee Kim, Yongjo Kim, Changhee Lee\",\"doi\":\"10.1038/s41467-025-56915-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Cardiovascular diseases are the major cause of death globally and require ubiquitous monitoring due to their asymptomatic yet modifiable nature. Photoplethysmography is an effective optical sensing technique for non-invasive health monitoring. However, its reliance on the current relatively large and rigid inorganic semiconductor-based light-emitting diodes and silicon photodiodes hampers high-resolution integration thus restricts a sensing from single measurement point. So, it limits detectable biomarkers to monitor cardiovascular diseases in a ubiquitous manner. In order to facilitate, here we report a single smartphone type multi-functional cardiovascular health monitor based on the massive array of organic photodiodes integrated into the most user interactive display device. Therefore, we achieved: 1) multi-point concurrent photoplethysmography and high-resolution dynamic image sensing, and 2) user-interactive sensing within the large display area. These advancements enabled new functions, including high-accuracy screening for cardiovascular diseases, blood pressure monitoring from both fingers, monitoring of finger blood vessels and flow dynamics, and single-device-based biofeedback. Applied machine learning enhanced diagnostic accuracy, with pilot studies showing results comparable to medical-grade devices. As a result, we believe smartphones harnessing the sensor organic light-emitting diode display could evolve into mobile health monitors and digital therapeutics thus revolutionizing diagnostic and treatment.</p>\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2025-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Communications\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-025-56915-6\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-56915-6","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Multi-point sensing organic light-emitting diode display based mobile cardiovascular monitor
Cardiovascular diseases are the major cause of death globally and require ubiquitous monitoring due to their asymptomatic yet modifiable nature. Photoplethysmography is an effective optical sensing technique for non-invasive health monitoring. However, its reliance on the current relatively large and rigid inorganic semiconductor-based light-emitting diodes and silicon photodiodes hampers high-resolution integration thus restricts a sensing from single measurement point. So, it limits detectable biomarkers to monitor cardiovascular diseases in a ubiquitous manner. In order to facilitate, here we report a single smartphone type multi-functional cardiovascular health monitor based on the massive array of organic photodiodes integrated into the most user interactive display device. Therefore, we achieved: 1) multi-point concurrent photoplethysmography and high-resolution dynamic image sensing, and 2) user-interactive sensing within the large display area. These advancements enabled new functions, including high-accuracy screening for cardiovascular diseases, blood pressure monitoring from both fingers, monitoring of finger blood vessels and flow dynamics, and single-device-based biofeedback. Applied machine learning enhanced diagnostic accuracy, with pilot studies showing results comparable to medical-grade devices. As a result, we believe smartphones harnessing the sensor organic light-emitting diode display could evolve into mobile health monitors and digital therapeutics thus revolutionizing diagnostic and treatment.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.