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Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

Nano Research 2023年第9期16卷 11674-11681页

作者： Yuan Xi Sijing Cheng Shengyu Chao Yiran Hu Minsi Cai Yang Zou Zhuo Liu Wei Hua puchuan tan Yubo Fan Zhou Li Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationSchool of Biological Science and Medical EngineeringSchool of Engineering MedicineBeihang UniversityBeijing 100191China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China The Cardiac Arrhythmia Center State Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center of Cardiovascular DiseasesFuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China School of Life Science Institute of Engineering MedicineBeijing Institute of TechnologyBeijing 100081China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Institute for Stem Cell and Regeneration Chinese Academy of SciencesBeijing 100101China

Atrial fibrillation(AF)is a common and serious *** diagnosis usually requires 12-lead electrocardiogram,which is heavy and *** the same time,the venue for diagnosis is also limited to the *** the development of the concept of intelligent medical,a wearable,portable,and reliable diagnostic method is needed to improve the patient’s comfort and alleviate the patient’s ***,we reported a wearable atrial fibrillation prediction wristband(AFPW)which can provide longterm monitoring and AF *** uses polyvinylidene fluoride piezoelectric film as sensing material and hydrogel as skin bonding material,of which the structure and design have been optimized and *** hydrogel skin bonding layer has good stability and skin affinity,which can greatly improve the user *** has enhanced signal,strong signal-tonoise ratio,and wireless transmission *** a sample library of 385 normal people/patients is analyzed and tested by linear discriminant analysis,the diagnostic success rate of atrial fibrillation is 91%.All these excellent performances demonstrate the great application potential of AFPW in wearable device diagnosis and intelligent medical treatment.

关键词： piezoelectricity atrial fibrillation prediction machine learning wristband

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Stretchable graded multichannel self-powered respiratory sensor inspired by shark gill

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Fundamental Research 2022年第4期2卷 619-628页

作者： Yang Zou Yansong Gai puchuan tan Dongjie Jiang Xuecheng Qu Jiangtao Xue Han Ouyang Bojing Shi Linlin Li Dan Luo Yulin Deng Zhou Li Zhong Lin Wang School of Life Science Institute of Enginering MedicinBejing Institute of TechnologyBejing 10oo81China CAs Center for Excellence in Nanoscience Bejing Key Laboratory of Micro-Nano Energy and SensorBejing Instute of Nanoenergy and NanosystemsChinese Acadermy of SciencesBeijing 101400China Center on Nanoenergy Research School of Chemistry and Chemical Engineering School of Physical Science and TechnologyGuangxi UniversiyNanning 53004China Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry Bejing Advanced Inovation Centre for Biomedical Engieering School of Biological Science and Medical EngineringBeihang UniversityBejing 100083China School of Nanoscience and Technology Universiy of Chinese Academy of ScienesBejing 100049China

Respiratory sensing provides a simple,non-invasive,and efficient way for medical diagnosis and health monitoring,but it relies on sensors that are conformal,accurate,durable,and sustainable ***,a stretchgll structure can convert transverse elastic deformation into longitudinal elastic deformation during ***,multichannel respiratory sensor inspired by the structure of shark gill cleftis *** bionic shark Combining the optimized bionic shark gll structure with the piezoelectric and the triboelectric effect,the bionic shark gill respiratory sensor(BSG-RS)can produce a graded electrical response to different tensile *** on this feature,BSG-RS can simultaneously monitor the breathing rate and breathing depth of the human body accurately,and realize the effective recognition of the different human body's breathing state under the supporting software,With good stretchability,wearabilit,acuracy,and long-term stability(50,0oo cycles),BSG-RS is expected to be applied as self-powered smart wearables for mobile medical diagnostic analysis in the future.

关键词： Bionic Sharkgill Graded Multichannel Respiratory sensing

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A wearable noncontact free-rotating hybrid nanogenerator for self-powered electronics

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InfoMat 2020年第6期2卷 1191-1200页

作者： Dongjie Jiang Han Ouyang Bojing Shi Yang Zou puchuan tan Xuecheng Qu Shengyu Chao Yuan Xi Chaochao Zhao Yubo Fan Zhou Li CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijingChina Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina School of Nanoscience and Technology University of Chinese Academy of SciencesBeijingChina Department of Biomedical Engineering School of Medical EngineeringFoshan UniversityFoshanChina

Self-powerability is a new trend in the development of portable *** biomechanical energy to power personal information electronics is of great *** this work,we report a wearable noncontact freerotating hybrid nanogenerator(WRG),which is constituted by a triboelectric nanogenerator and an electromagnetic generator.A continuous output over 2 seconds can be achieved during one instantaneous incentive by external force,which is improved by two orders of magnitude compared to other wearable nanogenerators due to its unique mechanical energy storage *** WRG can be integrated into shoes to generate an output energy of 14.68 mJ in each stepping,which meets the power requirements of most personal information *** wireless sensor,GPS,and smartphone can be powered by the WRG *** WRG is expected to be applied in self-powered information electronics extensively in the future.

关键词： electromagnetic generator hybrid nanogenerator self-powered electronics triboelectric nanogenerator wearable electronics

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血浆凝血因子、IL-17水平与脑梗死相关性及预后的研究分析

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中国实验诊断学 2014年第10期18卷 1638-1641页

作者：卫锐蒲传强中国人民解放军总医院神经内科北京100853

目的观察和分析血浆凝血因子(F)、白细胞介素17(IL-17)水平与急性脑梗死(ACI)相关性和早期预后的关系。方法选取100例ACI患者作为研究对象,根据其病灶大小将其分为大梗死组(病灶体积>10cm3,共纳入17例患者)、中梗死组(病灶体积为4-1... 详细信息

目的观察和分析血浆凝血因子(F)、白细胞介素17(IL-17)水平与急性脑梗死(ACI)相关性和早期预后的关系。方法选取100例ACI患者作为研究对象,根据其病灶大小将其分为大梗死组(病灶体积>10cm3,共纳入17例患者)、中梗死组(病灶体积为4-10cm3,共纳入28例患者)和小梗死组(病灶体积0.05),中梗死组患者在各观察时点的血浆IL-17水平均显著高于小梗死组患者(P<0.05);大梗死组患者发病24h和第14天的NIHSS评分均显著高于中梗死组(P<0.05),中梗死组的评分均显著高于小梗死组(P<0.05);大梗死组患者中近期预后为"显著进步"的比例显著低于中梗死组(P<0.05),中梗死组患者中近期预后为"显著进步"的比例显著低于小梗死组(P<0.05),ACI患者的血浆F水平(r=0.348)和IL-17水平(r=0.371)与NIHSS评分呈正相关。结论血浆F、IL-17水平的升高可能是ACI发病的相关因素,且与患者梗死病灶的大小、神经功能损伤程度和近期预后情况具有相关性,可作为评估病情和预测近期预后的辅助指标。

关键词：脑梗死凝血因子ⅩⅢ IL-17 预后

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滇西腾冲地区勐连花岗岩体南段LA-ICP-MS锆石U-Pb定年及其构造意义

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地质通报 2012年第2期31卷 287-296页

作者：罗改贾小川杨学俊熊昌利白宪洲黄柏鑫谭晓莲四川省地质调查院四川成都610081 成都理工大学四川成都610059 四川省冶金地质勘查局成都地质调查所四川成都610203

高黎贡构造带属于冈底斯地块东缘,滇西高黎贡花岗岩是冈底斯构造活动重要的岩浆记录。对高黎贡构造带的勐连花岗岩体南段的蒲川花岗岩地球化学特征进行的研究表明,蒲川花岗岩主要属于钙碱性-高钾钙碱性花岗岩,并表现出较强的过铝质特点... 详细信息

高黎贡构造带属于冈底斯地块东缘,滇西高黎贡花岗岩是冈底斯构造活动重要的岩浆记录。对高黎贡构造带的勐连花岗岩体南段的蒲川花岗岩地球化学特征进行的研究表明,蒲川花岗岩主要属于钙碱性-高钾钙碱性花岗岩,并表现出较强的过铝质特点;稀土元素配分模式曲线均表现为向右陡倾的LREE富集模式,具较弱的Eu负异常;花岗岩具后碰撞的特征,形成于主碰撞之后地壳向后碰撞-陆内转换的构造环境。LA-ICP-MS锆石U-Pb定年表明,蒲川花岗岩形成于早白垩世(128.9Ma±2.4Ma),年龄、地球化学特征与高黎贡构造带北部和中部一致,其形成可能是滇西怒江带碰撞作用的岩浆响应。

关键词：滇西腾冲地区勐连花岗岩 LA-ICP-MS锆石U-Pb定年地球化学高黎贡构造带怒江带

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