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2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)最新文献

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Vertical standing copper nanowires for electrochemical sensor of nitrate in water 用于水中硝酸盐电化学传感器的立式立式铜纳米线
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239449
B. Patella, R. Russo, G. Aiello, C. Sunseri, R. Inguanta
Nitrogen, in the forms of nitrate (NO3-), nitrite, or ammonium, is a nutrient needed for plant growth and it is a common constituent of fertilizers [1]. When fertilizers are overused, they contaminate the ground water and then the food chain. For humans, a low level of nitrate is advisable because it increases the blood flow and has a good effect on both blood pressure and cardiovascular system. On the contrary, a high concentration of nitrate can be dangerous for humans. Nitrate ions undergoes different chemical transformations (i.e. to nitrite ions by Escherichia coli) producing different nitrogen-based compound such as nitrite ions, nitric oxide and ammonia [2]. These chemicals lead to several problems such as cancer, neurodegenerative disease and gastritis. Furthermore, nitrate ions are responsible of the blu-baby disease because they oxide hemoblogin to methemoglobine which has a lower capability to transport oxygen [3]–[4]. Considering all these hazards, the Environmental Protection Agency (EPA) has fixed the maximum allowed concentration of nitrates in drinking water to 44 ppm [5]. Nowadays, nitrate ions quantification is performed by spectroscopy ensuring Limit Of Detection (LOD) in the ppb range [6]–[7]. However, this technique consists of hard procedure (conversion of nitrates to nitrite using cadmium or zinc salts) and requires skilled personnel. Furthermore, it lacks of sensitivity when coloured or opaque samples are analysed. Such disadvantages confine this technique to a lab-based analysis making impossible to detect nitrate ions in real time and/or in situ.
氮以硝酸盐(NO3-)、亚硝酸盐或铵的形式存在,是植物生长所需的营养物质,也是肥料的常见成分[1]。当化肥被过度使用时,它们会污染地下水,然后污染食物链。对人类来说,低水平的硝酸盐是可取的,因为它可以增加血液流动,对血压和心血管系统都有很好的影响。相反,高浓度的硝酸盐对人体是危险的。硝酸盐离子经过不同的化学转化(即被大肠杆菌转化为亚硝酸盐离子),产生不同的氮基化合物,如亚硝酸盐离子、一氧化氮和氨[2]。这些化学物质会导致一些问题,如癌症、神经退行性疾病和胃炎。此外,硝酸盐离子是蓝宝宝病的原因,因为它们将血红蛋白氧化为高铁血红蛋白,而高铁血红蛋白运输氧气的能力较低[3]-[4]。考虑到所有这些危害,美国环境保护署(EPA)将饮用水中硝酸盐的最大允许浓度定为44 ppm[5]。目前,硝酸盐离子定量是通过确保检出限(LOD)在ppb范围内的光谱学进行的[6]-[7]。然而,这种技术包括一个困难的程序(使用镉或锌盐将硝酸盐转化为亚硝酸盐),需要熟练的人员。此外,当分析有色或不透明样品时,它缺乏灵敏度。这些缺点限制了该技术的实验室为基础的分析,使得不可能在实时和/或原位检测硝酸盐离子。
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引用次数: 2
A Fringing Field Based Screen-Printed Flexible Capacitive Moisture and Water Level Sensor 一种基于边缘场的丝网印刷柔性电容式湿度和水位传感器
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239552
Shahid Malik, Laxmeesha Somappa, Meraj Ahmad, S. Sonkusale, M. Baghini
A simple, low cost, screen-printed flexible capacitive sensor for moisture, and water level detection is presented in this paper. The sensor is fabricated on the flexible polyamide substrate. The interdigitated structure electrodes are screen printed on the substrate to form the capacitive fingers using carbon paste. The relative permittivity of the medium changes due to the water vapors on the sensor, which in turn changes the capacitance of the sensor due to the fringing field. A novel auto-nulling based signal conditioning circuit was utilized to measure the capacitance of the sensor. The flexible nature of the sensor enhances the use of the fabricated capacitive sensor in applications such as diaper wetness monitoring, soil moisture monitoring, body hydration monitoring.
本文介绍了一种简单、低成本的丝网印刷柔性电容式湿度和水位传感器。该传感器是在柔性聚酰胺基板上制造的。采用碳糊在基板上丝网印刷所述交叉结构电极以形成所述电容指。由于传感器上的水蒸气,介质的相对介电常数会发生变化,而水蒸气又会由于边缘场而改变传感器的电容。采用一种新颖的基于自动零值的信号调理电路来测量传感器的电容。该传感器的灵活性增强了制造电容式传感器在尿布湿度监测、土壤湿度监测、身体水合监测等应用中的应用。
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引用次数: 9
Screen Printed Silver/Carbon Composite Strain Gauge on a TPU Platform for Wearable Applications 用于可穿戴应用的TPU平台的丝网印刷银/碳复合应变计
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239547
A. K. Bose, D. Maddipatla, X. Zhang, M. Panahi, S. Masihi, B. B. Narakathu, B. Bazuin, M. Atashbar
A printed strain gauge based on silver/carbon composite was successfully fabricated and characterized for strain monitoring applications. The silver-carbon (Ag/C) composite ink was prepared by blending 81% wt. of silver with 19% wt. of carbon ink. The strain gauge was fabricated by screen printing Ag/C composite ink on a flexible and stretchable thermoplastic polyurethane (TPU) substrate in a meandering pattern to achieve a desired resistance of $sim 350 Omega$. The capability of the printed strain gauge to detect varying strains ranging from 0% to 5% was investigated. It was observed that the strain gauge had a linear response till 2.5% strain. At 2.5% of tensile strain a relative resistive change of 7.8% and a gauge factor of 3.1 was observed. However, as the strain increased beyond 2.5% the strain gauge had a non-linear response. It was observed that at a tensile strain of 5%, the strain gauge had a maximum relative resistive change of 285.6% resulting in 57.2 gauge factor. The results demonstrate that a screen-printed Ag/C composite ink-based strain gauge with on a TPU substrate can be utilized for strain monitoring. The electromechanical response of the fabricated strain gauge as a function of resistance is investigated and presented in this paper.
成功制备了一种基于银/碳复合材料的印刷应变片,并对其进行了表征,用于应变监测。采用81掺杂法制备银碳(Ag/C)复合油墨% wt. of silver with 19% wt. of carbon ink. The strain gauge was fabricated by screen printing Ag/C composite ink on a flexible and stretchable thermoplastic polyurethane (TPU) substrate in a meandering pattern to achieve a desired resistance of $sim 350 Omega$. The capability of the printed strain gauge to detect varying strains ranging from 0% to 5% was investigated. It was observed that the strain gauge had a linear response till 2.5% strain. At 2.5% of tensile strain a relative resistive change of 7.8% and a gauge factor of 3.1 was observed. However, as the strain increased beyond 2.5% the strain gauge had a non-linear response. It was observed that at a tensile strain of 5%, the strain gauge had a maximum relative resistive change of 285.6% resulting in 57.2 gauge factor. The results demonstrate that a screen-printed Ag/C composite ink-based strain gauge with on a TPU substrate can be utilized for strain monitoring. The electromechanical response of the fabricated strain gauge as a function of resistance is investigated and presented in this paper.
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引用次数: 5
Spray Coated Light Emitting Electrochemical Cells on Standard Polyester Cotton Woven Textiles 在标准聚酯棉织物上喷涂发光电化学电池
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239543
Sasikumar Arumugam, Yi Li, James E Pearce, D. Harrowven, M. Charlton, J. Tudor, S. Beeby
In this article, we report the fabrication of LECs on wearable textile substrates. The standard polyester cotton woven textile substrate is smoothed by screen-printing the polyurethane layer that is then UV cured. Solution processable spray coating method is utilised to deposit all functional layers including top and bottom electrodes. The spray coating is performed inside the nitrogen filled glove box to avoid exposure of the ambient air. The LECs are fabricated on ITO glass substrates with the same process parameters as a reference device. Finally, the devices were sealed using encapsulation polymer and tested in the ambient air conditions.
在本文中,我们报告了在可穿戴纺织品衬底上制造LECs的方法。标准的聚酯棉编织纺织品基材是通过丝网印刷聚氨酯层,然后紫外线固化平滑。采用溶液可加工喷涂方法沉积包括上下电极在内的所有功能层。喷涂在充氮手套箱内进行,避免环境空气暴露。LECs在ITO玻璃基板上制造,具有与参考器件相同的工艺参数。最后,使用封装聚合物对器件进行密封,并在环境空气条件下进行测试。
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引用次数: 1
MEMS based polymeric H2 S gas sensor for agricultural applications 用于农业的基于MEMS的聚合物H2 S气体传感器
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239497
M. Vinchurkar, Rajul S. Patkar, M. Ashwin, M. Baghini, V. Rao
In this work, we demonstrate the development of a Microlectromechanical system (MEMS) based, cleanroom free fabricated, piezoresistive hydrogen sulfide (H2 S) gas sensor using a flexible polyethylene terephthalate (PET) substrate. This relatively cheap, simple to use, calibration-free sensor is highly sensitive, selective and operates at ambient conditions of temperature and humidity. This gas sensor would be ideal for agricultural applications where farmers are at risk for exposure to toxic gases, particularly H2 S exposure in manure pits and livestock work.
在这项工作中,我们展示了一种基于微机电系统(MEMS)的、无尘室制造的、压阻式硫化氢(H2 S)气体传感器的开发,该传感器使用柔性聚对苯二甲酸乙二醇酯(PET)衬底。这种相对便宜,使用简单,无需校准的传感器具有高灵敏度,选择性和在温度和湿度的环境条件下工作。这种气体传感器将是理想的农业应用,在农业中,农民有暴露于有毒气体的风险,特别是在粪坑和牲畜工作中暴露H2 S。
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引用次数: 0
Printed Piezoresistive Strain sensors for Wearable Systems 用于可穿戴系统的印刷压阻应变传感器
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239478
Prakash Karipoth, R. Dahiya
Printed strain sensors are on high demand for flexible electronics and smart wearables. They are expected to exhibit high Figure of merits in terms of sensitivity, reliability, cost effectiveness, ease of fabrication etc. However, it is challenging to meet these attributes simultaneously. In this paper, we present a simple yet efficient method to fabricate the printed piezoresistive strain sensors with composite of carbon-based and silver-based pastes. The composite paste containing 80% and 20% by volume of carbon and silver paste was printed on poly vinyl chloride (PVC) substrate to realize the piezoresistive strain sensor over an area of 20 mm x 2 mm. The electromechanical characterization of the sensor demonstrated sensitivity of the order of 80% ($Delta$R/R) with good repeatability and stability. The piezoresistive behaviour of presented printed composite material is owing to the modulation of electrical conductivity and conduction path by the minor inclusion of highly conductive silver fillers in a slightly less conductive carbon matrix. Finally, the strain sensor was integrated on the finger of a vinyl glove and response was monitored with finger movements. The obtained results point towards the potential use of the sensor for flexible electronics, robotics and smart wearable devices.
印刷应变传感器对柔性电子产品和智能可穿戴设备的需求很高。它们有望在灵敏度、可靠性、成本效益、易于制造等方面表现出很高的优点。然而,同时满足这些属性是具有挑战性的。本文提出了一种简单而有效的碳基和银基复合材料印刷压阻应变传感器的制备方法。在聚氯乙烯(PVC)衬底上印刷了含有80%和20%体积碳和银的复合浆料,实现了面积为20mm x 2mm的压阻式应变传感器。该传感器的机电特性表明,灵敏度为80% ($Delta$R/R),具有良好的重复性和稳定性。所提出的印刷复合材料的压阻行为是由于电导率和传导路径的调制,通过少量的高导电性银填料在导电性稍差的碳基体中。最后,将应变传感器集成在乙烯基手套的手指上,并通过手指的运动来监测响应。获得的结果指向了传感器在柔性电子、机器人和智能可穿戴设备上的潜在应用。
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引用次数: 2
Si Nanoribbons based High Performance Printed FETs using Room-Temperature deposited Dielectric 基于室温沉积介质的硅纳米带高性能印刷场效应管
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239533
Ayoub Zumeit, D. Shakthivel, R. Dahiya
This paper presents the fabrication and characterization of transfer printed Si nanoribbons (NRs) based field effect transistor (NRFETs). The critical steps such as high-k gate dielectric (silicon nitride (SiN)) were carried out at room temperature (RT), by using inductively coupled plasma chemical vapour deposition (ICP-CVD) method. The presented device exhibit mobility (~ 656 cm2 V−1.s−1) and On/Off ratio (>106) at par with conventional Si devices. The fabricated flexible Si NRFETs were evaluated under multiple bending cycles (~100) and the performance was found to be stable. The presented approach demonstrates the potential for direct printing of high performance flexible electronics.
本文介绍了转移印刷硅纳米带(NRs)型场效应晶体管(nrfet)的制备和表征。采用电感耦合等离子体化学气相沉积(ICP-CVD)方法,在室温下制备高k栅极介质(氮化硅(SiN))等关键步骤。所述器件具有与传统Si器件相当的迁移率(~ 656 cm2 V−1.s−1)和开/关比(>106)。在多次弯曲循环(~100次)下,对制备的柔性硅非弹性场效应管进行了性能评价,结果表明其性能稳定。所提出的方法展示了直接印刷高性能柔性电子产品的潜力。
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引用次数: 1
Flexible Potentiostat Readout Circuit Patch for Electrochemical and Biosensor Applications 用于电化学和生物传感器的柔性恒电位器读出电路贴片
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239515
P. Escobedo, Libu Manjakkal, M. Ntagios, R. Dahiya
This paper presents a miniaturized potentiostat readout circuit patch developed for electrochemical or biosensors. The presented patch has been fabricated on a flexible polyimide substrate using off-the-shelf electronics. In contrast to the traditional bulky equipment for electrochemical analysis, the presented patch is conformable and portable. As a proof of concept, the system has been used for pH measurements in buffer solution (6- 8 pH values) with a printed thick film potentiometric pH sensor having platinum counter electrode. The obtained results are in line with a commercially available potentiostat that has been used for benchmarking.
本文介绍了一种用于电化学或生物传感器的小型化恒电位读出电路贴片。该贴片是利用现成的电子元件在柔性聚酰亚胺基板上制造的。与传统的笨重的电化学分析设备相比,该贴片具有舒适、便携的特点。作为概念验证,该系统已用于缓冲溶液(6- 8 pH值)的pH测量,带有铂对电极的印刷厚膜电位pH传感器。所获得的结果与市售的恒电位器一致,该恒电位器已用于基准测试。
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引用次数: 1
Influence of textile structure on the wearability of printed e-textiles 织物结构对印花电子纺织品耐磨性的影响
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239562
A. Komolafe, Helga Nunes-Matos, M. Glanc-Gostkiewicz, R. Torah
To achieve durable printed circuits on textiles, it is necessary to print low-cost polymer films that interface the fabric with the printed circuit. The film smooths the surface of the fabric to enable the printing of thin and flexible conductive films on the fabric. When printed, the thickness of the polymer films can dominate the fabric and limit the flexibility of the printed e-textile. This paper investigates the reduction of the polymer film thickness for printed and wearable e-textiles by controlling the thread count of the fabric using different blends of polyester/silk/cotton fabrics. A $50 mu mathrm{m}$ thick polyurethane interface layer with a surface roughness, Ra value of $1.7 mu mathrm{m}$ is reported on a 100% plain weave polyester fabric. The PU thickness is 4 times less than the state of the art and shows more than 80 % reduction in the proportion of interface material to fabric thickness of the printed e-textile. This minimizes the impact of the printed film on the fabric.
为了在纺织品上实现耐用的印刷电路,有必要印刷低成本的聚合物薄膜,使织物与印刷电路相连接。该薄膜使织物表面光滑,从而能够在织物上印刷薄而柔韧的导电薄膜。印刷时,聚合物薄膜的厚度会支配织物,并限制印刷电子纺织品的柔韧性。本文研究了通过控制涤纶/真丝/棉织物不同混纺织物的支数来减少印花和可穿戴电子纺织品的聚合物膜厚度。在100%平纹涤纶织物上制备了一层50 mu mathrm{m}$厚的表面粗糙度为1.7 mu mathrm{m}$的聚氨酯界面层。PU厚度比目前的技术水平少4倍,并且显示印刷电子纺织品的界面材料占织物厚度的比例减少了80%以上。这样可以最大限度地减少印刷膜对织物的影响。
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引用次数: 0
Utilizing Wearable GRF and EMG Sensing System and Machine Learning Algorithms to Enable Locomotion Mode Recognition for In-home Rehabilitation 利用可穿戴式GRF和EMG传感系统和机器学习算法实现家庭康复运动模式识别
Pub Date : 2020-08-16 DOI: 10.1109/FLEPS49123.2020.9239563
Chaoming Fang, Yixuan Wang, Shuo Gao
Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years, locomotion mode recognition using wearable sensors plays an important role in the field of in-home rehabilitation. In this paper, a smart sensing system utilizing flexible electromyography (EMG) sensors and ground reaction force (GRF) sensors for locomotion mode recognition is presented, together with its use under the IoHT architecture. EMG and GRF information from ten healthy subjects in five common locomotion modes in daily life were collected, analyzed, and then transmitted to remote end terminals (e.g., personal computers). The data analysis process was implemented with machine learning techniques (Support Vector Machine), through which the locomotion modes were determined with a high accuracy of 96.38%. This article demonstrates a feasible means for accurate locomotion mode recognition by combining wearable sensing techniques and the machine learning algorithm, potentially advancing the development for IoHT based in-home rehabilitation.
受益于近年来医疗物联网(IoHT)的发展,基于可穿戴传感器的运动模式识别在家庭康复领域发挥着重要作用。本文介绍了一种利用柔性肌电(EMG)传感器和地面反作用力(GRF)传感器进行运动模式识别的智能传感系统,以及该系统在IoHT架构下的应用。收集10名健康受试者在日常生活中5种常见运动模式下的肌电和GRF信息,分析后传输至远程终端(如个人电脑)。数据分析过程采用机器学习技术(支持向量机),确定运动模式,准确率高达96.38%。本文展示了一种结合可穿戴传感技术和机器学习算法的准确运动模式识别的可行方法,有望推动基于IoHT的家庭康复的发展。
{"title":"Utilizing Wearable GRF and EMG Sensing System and Machine Learning Algorithms to Enable Locomotion Mode Recognition for In-home Rehabilitation","authors":"Chaoming Fang, Yixuan Wang, Shuo Gao","doi":"10.1109/FLEPS49123.2020.9239563","DOIUrl":"https://doi.org/10.1109/FLEPS49123.2020.9239563","url":null,"abstract":"Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years, locomotion mode recognition using wearable sensors plays an important role in the field of in-home rehabilitation. In this paper, a smart sensing system utilizing flexible electromyography (EMG) sensors and ground reaction force (GRF) sensors for locomotion mode recognition is presented, together with its use under the IoHT architecture. EMG and GRF information from ten healthy subjects in five common locomotion modes in daily life were collected, analyzed, and then transmitted to remote end terminals (e.g., personal computers). The data analysis process was implemented with machine learning techniques (Support Vector Machine), through which the locomotion modes were determined with a high accuracy of 96.38%. This article demonstrates a feasible means for accurate locomotion mode recognition by combining wearable sensing techniques and the machine learning algorithm, potentially advancing the development for IoHT based in-home rehabilitation.","PeriodicalId":101496,"journal":{"name":"2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
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