• <option id="4iegi"><u id="4iegi"></u></option>
    <td id="4iegi"></td>
    <td id="4iegi"></td>
  • 發布時間:2024-08-20 14:21 原文鏈接: 直播預告|東華大學、南方科技大學等三位專家報告

     

    直播時間:2024年8月20日(周二)20:00——22:00

    直播平臺

    科學網APP

    https://weibo.com/l/wblive/p/show/1022:2321325069446375932005

    (科學網微博直播間鏈接)

    科學網微博

    科學網視頻號

    【直播簡介】

    北京時間8月20日晚八點,iCANX Youth Talks第六十九期邀請到了北京納米能源與系統研究所唐偉,東華大學侯成義,南方科技大學林苑菁三位教授主講,西北工業大學于海東教授擔任研討嘉賓,清華大學張瑩瑩教授擔任主持人,期待你一起加入這場知識盛宴。

    【嘉賓介紹】

    唐偉

    北京納米能源與系統研究所

    可穿戴運動傳感的準確性和穩定性研究

    [ABSTRACT]

    In recent years, wearable sensors, as a type of flexible and portable sensing device, have been able to monitor human motion and health information in real time for extended periods, thus providing important data for subsequent clinical diagnosis and treatment, which has attracted widespread attention. However, existing wearable sensors still face multiple challenges in practical applications, including how to accurately map the sensed data to physical health, how to reduce sensor drift during operation, thereby enhancing the accuracy and stability of monitoring, etc. This report will address the above issues, taking wearable motion sensing as an example, to discuss the use of multimodal sensing combined with artificial intelligence analysis methods to achieve accurate diagnosis of muscle strength levels, and the realization of discrete, high-stability stretching sensing based on triboelectric encoders, to aid the practical application of wearable sensing.

    近年來,可穿戴傳感器作為一種柔性便攜的傳感器件,可長期實時監測人體運動健康信息,進而為后續的臨床診斷和治療提供重要依據,受到廣泛關注。不過,現有的可穿戴傳感器在實際應用中,仍面臨多方面的挑戰,包括獲取的傳感數據如何精準映射肌體健康,如何降低傳感器在工作過程中的漂移,從而提升監測的準確性和穩定性等。本報告將針對以上問題,以可穿戴運動傳感為例,講述利用多模態傳感結合人工智能分析手段實現肌力等級的準確診斷,和基于摩擦電編碼器實現離散化高穩定性的拉伸傳感,助力可穿戴傳感的實際應用。

    [BIOGRAPHY]

    Prof. Wei Tang, from Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, obtained his bachelors and doctoral degrees from Peking University in 2008 and 2013, respectively. In recent years, he has been committed to the research of nanogenerators and wearable electronics, achieving a series of important results. He has published more than 100 academic papers as the corresponding/first author, including in journals such as Nat. Energy, Nat. Commun., Adv. Mater., etc., with an SCI citation count exceeding 11,000 times, an h-index of 60, and has been selected as one of the top 2% scientists in the world by Elsevier, a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences, and one of the excellent young scientists in 2023 by Materials China. He has presided over the National Natural Science Foundation of China, major projects of the Beijing Municipal Science and Technology Commission, and sub-topics of the National Key Research and Development Plan, among others. His achievements have been awarded the Second Prize of Science and Technology of Beijing, one of the 100 new technologies of the Zhongguancun Forum (China national-level platform), and frontier academic achievements in the capital region.

    唐偉,中國科學院北京納米能源與系統研究所研究員,于2008年和2013年取得北京大學學士和博士學位。近年來致力于納米發電機與可穿戴電子的研究,取得了一系列重要成果,以通訊/第一作者發表學術論文100余篇,包括Nat. Energy、Nat. Commun.、Adv. Mater.等,SCI引用超過1.1萬次,h 因子60,入選Elsevier全球前2%頂尖科學家、中國科學院青年創新促進會會員、材料人2023年優秀青年科學家,主持國家自然科學基金,北京市科委重大項目,國家重點研發計劃子課題等,成果獲評北京市科學技術二等獎、中關村論壇(國家級平臺)百項新技術、首都地區前沿學術成果等。

    林苑菁

    南方科技大學

    面向數字健康的柔性電化學傳感器件與集成系統

    [ABSTRACT]

    To realize comprehensive and reliable health monitoring, real-time physiological monitoring technology in molecular level is urgently demanded. Current biosensing technology encounters the challenges of simultaneously enhancement on sensitivity and stability, as well as system integration without external connections. Our research focused on high performance electrochemical devices, flexible biosensors and monolithically integrated systems for wearable and digitalized healthcare applications. To realize controllable construction of highly sensitive and stable biosensors, the design of conformal and interpenetrating interfaces was proposed to realize continuous and stable monitoring of biomarkers at micro-molar levels. Moreover, to tackle the challenge of monolithic integration of multi-functional devices, highly precise and controllable strategies for functional materials deposition and compatible device integration were developed towards wearable and non-invasive physiological applications. These research aims at advancing the wearable biosensing technology towards proactive healthcare

    分子量級的理化指標實時監測技術對于實現對人體健康狀態更全面、準確的監測有重要意義。然而現有生物傳感器難以兼顧高靈敏度與穩定性,分立器件需通過外部連接構建集成傳感系統,限制其應用。課題組研究聚焦高性能柔性傳感器與單片集成系統。針對高靈敏度、高穩定性生物傳感器的可控構筑,提出共形、滲透型界面設計,實現微摩爾級別理化指標的連續穩定監測;此外,針對多功能器件柔性單片集成挑戰,提出高精度、高可控性的功能材料沉積、器件兼容集成策略,構筑可穿戴無創生理監測集成系統,從而促進主動健康技術發展。[BIOGRAPHY]

    [BIOGRAPHY]

    Dr. Yuanjing Lin currently serves as an Assistant Professor in School of Microelectronics, Southern University of Science and Technology. Her research interests mainly focus on using nanostructured materials and novel fabrication techniques to realize printable and wearable electrochemical sensors, energy storage devices for their applications in intelligent self-powered systems, health monitoring, environment monitoring, intelligent robotics, etc. So far she has more than 40 journal publications, such as Nature Nanotechnology, Nature Communications, Science Advances, Advanced Materials. Dr. Lin also serves as the editorial board member for Biosensors, Journal of Micromechanics and Microengineering, and the editorial board young member for Journal of Semiconductors. She was also shortlisted as one of the Rising Stars Women in Engineering of 2019 Asian Deans’ Forum, and Nanoscale 2024 Emerging Investigators.

    林苑菁,南方科技大學深港微電子學院助理教授,博士生導師。2014年取得南開大學電子科學與技術學士學位, 2018年獲得香港科技大學電子與計算機工程系博士學位。2019年起加入加州大學伯克利分校電氣工程和計算機科學系從事博士后研究。2020年加入南方科技大學深港微電子學院,建立柔性微納器件實驗室。研究立足于數字健康需求,致力于將材料制備、器件優化、大數據智能分析與移動式健康醫療監測應用結合,利用納米材料及柔性制備技術實現微納傳感器、能源存儲器件及可穿戴智能集成系統等。迄今于Nature Nanotechnology, Nature Communications, Science Advances, Advanced Materials等期刊發表40余篇學術論文。目前擔任Biosensors, Journal of Micromechanics and Microengineering編委,Journal of Semiconductors青年編委。入選2019亞洲校長論壇30名未來之星女性工程學者,2024 Nanoscale Emerging Investigators等。

    侯成義

    東華大學

    傳感與交互纖維電子器件

    [ABSTRACT]

    Flexible electronic materials and devices has attracted considerable interest. The current research in the field of wearable technology has demonstrated the feasibility of creating flexible devices in a wearable form. However, the majority of these devices lack flexibility or are not stretchable, making them difficult to weave. They are primarily used as an add-on to garments and lack the wearing comfort of traditional clothing. In contrast, fibres, which are commonly used in the manufacture of clothing, are more suitable physical carriers of electrical functionality. It seems reasonable to posit that fibres will emerge as a novel generation of flexible electronic devices, with smart clothing products based on fiber-electronics becoming a common feature of peoples lives in the near future. A series of fiber-electronic materials and devices have been prepared using continuous processes. Notably, the challenge of preparing fiber-electronics on a large scale in a continuous manner has been addressed. The potential applications of these electronic devices in intelligent interaction, environment and body sensing are further validated.

    因可穿戴技術的發展,柔性電子材料與器件獲得了大量關注,目前可穿戴領域的研究相繼展示了“佩戴”形式的柔性器件,但多數仍缺乏柔韌性、或不可拉伸、難以編織,其主要作為服裝的附加品,缺乏穿著舒適性。相比之下,纖維作為常用的服裝材料是更合適的電學功能物理載體,有望成為更理想的可穿戴功能集成平臺。鑒于此,我們認為纖維將成為新一代柔性器件形態,基于纖維電子與織物電子的智能服裝產品在不久的將來會進入人們的生活。我們利用界面自組裝、熔融紡絲和靜電紡絲等連續化工藝制備了一系列新型纖維、織物電子材料與器件,特別是實現了多組分多界面電學纖維的萬米級制備,解決了纖維狀電子器件難以連續化大規模穩定制備的問題。進一步通過演示實驗驗證了這些新型電子器件在智能交互、環境特征因子檢測與體征傳感等領域的應用價值。

    [BIOGRAPHY]

    Prof. Chengyi Hou, a Full Professor at Donghua University, is engaged in the development of innovative methods and experimental approaches to address the key scientific and technical challenges related to the scalable synthesis, processing and assembly of smart fibres and fabrics. The innovative fibre and fabric materials have the potential to be used for a variety of applications, including health monitoring, personal thermal management and human-machine interaction. They also have the potential to be incorporated into next-generation clothing. Chengyi Hou has edited one book on the topic of smart clothing and has published over 60 peer-reviewed journal articles on smart fibres and wearable materials. Several of these have been published in leading academic journals such as Science, Science Advances, Nature Communications, Advanced Materials, ACS Nano, etc.

    侯成義,東華大學研究員,博士生導師。2014年博士畢業于東華大學。主要從事智能纖維材料與器件研究。作為通訊作者在Science、Science Advances、Nature Communications等期刊發表60余篇SCI論文,獲授權20余項中國發明專利,1項美國專利。研究成果被Science、Nature、中央電視臺、新華社等報道。

    【主持人】

    張瑩瑩

    清華大學

    【研討嘉賓】

    于海東

    西北工業大學

     


    相關文章

    20點直播|諾丁漢特倫特大學教授講述工程化超表面

    直播時間:2024年10月11日(周五)20:00-21:30直播平臺:科學網APPhttps://weibo.com/l/wblive/p/show/1022:2321325088295842611......

    直播丨新一輪科技革命和產業變革下的新質生產力

    直播時間:2024年9月23日(周一)上午9:00——12:00直播平臺:科學網APPhttps://weibo.com/l/wblive/p/show/1022:232132507998731226......

    直播預告|高水平論文發表及基金申請經驗交流

    直播時間:2024年9月19日(周四)19:00直播平臺科學網APP(科學網微博直播間鏈接)https://weibo.com/l/wblive/p/show/1022:232132507699888......

    直播|納米機器人遞送系統讓腫瘤免疫療法如虎添翼

    直播時間:2024年9月2日(周一)19:00——20:00直播平臺:科學網APPhttps://weibo.com/l/wblive/p/show/1022:23213250705422930411......

    20點直播丨清華大學教授龍桂魯用量子說悄悄話

    直播時間:2024年8月30日(周五)20:00——21:30直播平臺:科學網APPhttps://weibo.com/l/wblive/p/show/1022:2321325073131739152......

    1日直播丨中國科學院大學2024級新生開學典禮

    直播時間:2024年9月1日(周日)上午8:00——9:00直播平臺:科學網APP(科學網微博直播間鏈接)https://weibo.com/l/wblive/p/show/1022:23213250......

    直播預告|東華大學、南方科技大學等三位專家報告

     直播時間:2024年8月20日(周二)20:00——22:00直播平臺科學網APPhttps://weibo.com/l/wblive/p/show/1022:23213250694463......

    直播預告|東華大學、南方科技大學等三位專家報告

     直播時間:2024年8月20日(周二)20:00——22:00直播平臺科學網APPhttps://weibo.com/l/wblive/p/show/1022:23213250694463......

    直播預告|JCRQ1期刊主編在線分享!

    直播時間:2024年8月21日(周三)18:00——20:00直播平臺:科學網APPhttps://weibo.com/l/wblive/p/show/1022:2321325067673620054......

    直播預告|三位專家講述關于軟性電子學的進展

    直播時間:2024年7月23日(星期二)20:00—22:00直播平臺:科學網APP(科學網微博直播間鏈接)https://weibo.com/l/wblive/p/show/1022:2321325......

  • <option id="4iegi"><u id="4iegi"></u></option>
    <td id="4iegi"></td>
    <td id="4iegi"></td>
  • av免费观看