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      Machine-knitted washable sensor array textile for precise epidermal physiological signal monitoring

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          Abstract

          A triboelectric all-textile sensor with high pressure sensitivity and comfort was been developed for health monitoring.

          Abstract

          Wearable textile electronics are highly desirable for realizing personalized health management. However, most reported textile electronics can either periodically target a single physiological signal or miss the explicit details of the signals, leading to a partial health assessment. Furthermore, textiles with excellent property and comfort still remain a challenge. Here, we report a triboelectric all-textile sensor array with high pressure sensitivity and comfort. It exhibits the pressure sensitivity (7.84 mV Pa −1), fast response time (20 ms), stability (>100,000 cycles), wide working frequency bandwidth (up to 20 Hz), and machine washability (>40 washes). The fabricated TATSAs were stitched into different parts of clothes to monitor the arterial pulse waves and respiratory signals simultaneously. We further developed a health monitoring system for long-term and noninvasive assessment of cardiovascular disease and sleep apnea syndrome, which exhibits great advancement for quantitative analysis of some chronic diseases.

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          Conductive fiber-based ultrasensitive textile pressure sensor for wearable electronics.

          A flexible and sensitive textile-based pressure sensor is developed using highly conductive fibers coated with dielectric rubber materials. The pressure sensor exhibits superior sensitivity, very fast response time, and high stability, compared with previous textile-based pressure sensors. By using a weaving method, the pressure sensor can be applied to make smart gloves and clothes that can control machines wirelessly as human-machine interfaces.
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            Self-powered ultra-flexible electronics via nano-grating-patterned organic photovoltaics

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              Fingertip skin–inspired microstructured ferroelectric skins discriminate static/dynamic pressure and temperature stimuli

              Fingertip skin-mimicking ferroelectric skins sensitively detect and discriminate static/dynamic pressure and temperature.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                March 2020
                13 March 2020
                : 6
                : 11
                : eaay2840
                Affiliations
                [1 ]Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, P. R. China.
                [2 ]School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
                [3 ]Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China.
                Author notes
                [* ]Corresponding author. Email: yangjin@ 123456cqu.edu.cn (J.Y.); zhong.wang@ 123456mse.gatech.edu (Z.L.W.)
                Author information
                http://orcid.org/0000-0002-0571-1966
                http://orcid.org/0000-0002-3555-1852
                http://orcid.org/0000-0002-6606-8310
                http://orcid.org/0000-0002-5530-0380
                Article
                aay2840
                10.1126/sciadv.aay2840
                7069695
                32201720
                3d651cd1-1aac-4f36-8401-f9ccb6c46cdd
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 06 June 2019
                : 17 December 2019
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 51675069
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Applied Sciences and Engineering
                Life Sciences
                Applied Sciences and Engineering
                Custom metadata
                Sef Rio

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