Literature DB >> 33141556

Nanosensor-Based Flexible Electronic Assisted with Light Fidelity Communicating Technology for Volatolomics-Based Telemedicine.

Han Jin1,2, Junkan Yu3, Shujing Lin1, Shan Gao4, Hao Yang4, Hossam Haick5, Changzhou Hua3, Shengwei Deng6, Tingqiang Yang7, Yueli Liu7, Wenfeng Shen8, Xin Zhang3, Xiaowei Zhang3, Shan Shan9, Tao Ren9, Liwei Wang10, Waifung Cheung11, Wanlung Kam11, Jianmin Miao1, Di Chen1, Daxiang Cui1,2.   

Abstract

Telemedicine provides an attractive vision for tele-monitoring human health conditions and, thus, offers the opportunity for timely preventing chronic disease. A key limitation of promoting telemedicine in clinic application is the lack of a noninvasive med-tech and effective monitoring platform, which should be wearable and capable of high-performance tele-monitoring of health risk. Here we proposed a volatolomics-based telemedicine for continuously and noninvasively assessing human health status through continuously tracking the variation of volatile markers derived from human breath or skin. Particularly, a nanosensor-based flexible electronic was specifically designed to serve as a powerful platform for implementing the proposed cost-effective healthcare. An all-flexible and highly packed makeup (all functional units were integrated in a 2*2*0.19 cm3 plate) enables an electronic, compact configuration and the capability of resisting negative impact derived from customers' daily movement. Notably, the nanosensor-based electronic demonstrates high specificity, quick response rate (t90% = 4.5 s), and desirable low detection limit (down to 0.117 ppm) in continuous tele-monitoring chronic-disease-related volatile marker (e.g., acetone). Assisted by the power saved light fidelity (Li-Fi) communicating technology, a clinic proof on the specifically designed electronic for noninvasively and uninterrupted assessing potential health risk (e.g., diabetics) is successfully implemented, with the accuracy of around 81%. A further increase in the accuracy of prewarning is predicted by excluding the impact of individual differences such as the gender, age, and smoking status of the customer. These promising pilot results indicate a bright future for the tailor-made nanosensing-device-supported volatolomics-based telemedicine in preventing chronic diseases and increasing patients' survival rate.

Entities:  

Keywords:  image recognition; light fidelity; nanosensor; volatolomics-based telemedicine; wearable electronic

Mesh:

Year:  2020        PMID: 33141556     DOI: 10.1021/acsnano.0c06137

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  1 in total

1.  Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network.

Authors:  Muhammad Aqeel Aslam; Cuili Xue; Yunsheng Chen; Amin Zhang; Manhua Liu; Kan Wang; Daxiang Cui
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

  1 in total

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