Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584734
M. Punjiya, S. Sonkusale
Measurement of fluorescent lifetime is key in many biological analyses. Recently, we proposed a new scheme for fluorescent lifetime measurement utilizing hardware level linearization of the fluorescent decay produced by an excited fluorphore. This method is less sensitive to equivalent voltage and time errors compared to commonly utilized charge modulation schemes and has no upper limit on lifetime measurement. Here we present results for a hardware level implementation of the proposed scheme for lifetime measurement. Preliminary results demonstrate extraction of lifetimes down to 5/µs.
{"title":"Circuit implementation of fluorescence lifetime measurement using direct exponential-to-linear conversion","authors":"M. Punjiya, S. Sonkusale","doi":"10.1109/BIOCAS.2018.8584734","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584734","url":null,"abstract":"Measurement of fluorescent lifetime is key in many biological analyses. Recently, we proposed a new scheme for fluorescent lifetime measurement utilizing hardware level linearization of the fluorescent decay produced by an excited fluorphore. This method is less sensitive to equivalent voltage and time errors compared to commonly utilized charge modulation schemes and has no upper limit on lifetime measurement. Here we present results for a hardware level implementation of the proposed scheme for lifetime measurement. Preliminary results demonstrate extraction of lifetimes down to 5/µs.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124431906","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584706
Yu Jiang, Hao Yu, Xiaojian Fu, Chathuranga Hettiarachchi, He Xu, Ye Li, T. Nguyen, Longtao Dong, Cuong Dang, Qing Zhang
This paper presents a fluorescent image sensor with the integrated plasmonic nano-filter using metal layers in CMOS. The readout circuit is fully integrated with a high-gain pixel-level capacitive trans-impedance amplifier (CTIA), column-level amplifier, and correlated double sampling (CDS). The nano-filter achieved 51-dB simulated rejection ratio for 467-nm excitation light and 820-nm emission light. Considering low photodiode quantum efficiency and interference, a 24.2-dB system rejection ratio was achieved in measurement. In addition, liquid samples with/without PbS quantum dots (QDs) can be identified with 22-dB transmittance difference.
{"title":"A Nano-Filter-Integrated CMOS Image Sensor for Fluorescent Biomedical Imaging","authors":"Yu Jiang, Hao Yu, Xiaojian Fu, Chathuranga Hettiarachchi, He Xu, Ye Li, T. Nguyen, Longtao Dong, Cuong Dang, Qing Zhang","doi":"10.1109/BIOCAS.2018.8584706","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584706","url":null,"abstract":"This paper presents a fluorescent image sensor with the integrated plasmonic nano-filter using metal layers in CMOS. The readout circuit is fully integrated with a high-gain pixel-level capacitive trans-impedance amplifier (CTIA), column-level amplifier, and correlated double sampling (CDS). The nano-filter achieved 51-dB simulated rejection ratio for 467-nm excitation light and 820-nm emission light. Considering low photodiode quantum efficiency and interference, a 24.2-dB system rejection ratio was achieved in measurement. In addition, liquid samples with/without PbS quantum dots (QDs) can be identified with 22-dB transmittance difference.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122421186","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584699
Molly Alexandre, Song Luan, Z. Mari, W. Anderson, Y. Salimpour, T. Constandinou, L. Grand
Deep Brain Stimulation (DBS) is a widely used clinical therapeutic modality to treat Parkinsons disease refractory symptoms and complications of levodopa therapy. Currently available DBSsystems use continuous, open-loop stimulation strategies. It might be redundant and we could extend the battery life otherwise. Recently, robust electrophysiological signatures of Parkinsons disease have been characterized in motor cortex of patients undergoing DBS surgery. Reductions in the beta-gamma Phase-Amplitude coupling (PAC) correlated with symptom improvement, and the therapeutic effects of DBS itself. We aim to develop a miniature, implantable and adaptive system, which only stimulates the neural target, when triggered by the output of the appropriate PAC algorithm. As a first step, in this paper we compare published PAC algorithms by using human data intra-operatively recorded from Parkinsonian patients. We then introduce IIR masking for later achieving fast and low-power FPGA implementation of PAC mapping for intra-operative studies. Our closed-loop application is expected to consume significantly less power than current DBS systems, therefore we can increase the battery life, without compromising clinical benefits.
{"title":"Embedded Phase-Amplitude Coupling Based Closed-loop Platform for Parkinson's Disease","authors":"Molly Alexandre, Song Luan, Z. Mari, W. Anderson, Y. Salimpour, T. Constandinou, L. Grand","doi":"10.1109/BIOCAS.2018.8584699","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584699","url":null,"abstract":"Deep Brain Stimulation (DBS) is a widely used clinical therapeutic modality to treat Parkinsons disease refractory symptoms and complications of levodopa therapy. Currently available DBSsystems use continuous, open-loop stimulation strategies. It might be redundant and we could extend the battery life otherwise. Recently, robust electrophysiological signatures of Parkinsons disease have been characterized in motor cortex of patients undergoing DBS surgery. Reductions in the beta-gamma Phase-Amplitude coupling (PAC) correlated with symptom improvement, and the therapeutic effects of DBS itself. We aim to develop a miniature, implantable and adaptive system, which only stimulates the neural target, when triggered by the output of the appropriate PAC algorithm. As a first step, in this paper we compare published PAC algorithms by using human data intra-operatively recorded from Parkinsonian patients. We then introduce IIR masking for later achieving fast and low-power FPGA implementation of PAC mapping for intra-operative studies. Our closed-loop application is expected to consume significantly less power than current DBS systems, therefore we can increase the battery life, without compromising clinical benefits.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165532","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584709
S. Conoci, F. Rundo, G. Fallica, Davide Lena, Irene Buraioli, D. Demarchi
In this paper we present a PHYSIO-Sensor based on STM proprietary technology able to accurately reconstruct in a portable format both the PPG (PhotoPlethysmoGraphy) signal and Pulse Wave Velocity (PWV).
{"title":"Live Demonstration of Portable Systems based on Silicon Sensors for the monitoring of Physiological Parameters of Driver Drowsiness and Pulse Wave Velocity","authors":"S. Conoci, F. Rundo, G. Fallica, Davide Lena, Irene Buraioli, D. Demarchi","doi":"10.1109/BIOCAS.2018.8584709","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584709","url":null,"abstract":"In this paper we present a PHYSIO-Sensor based on STM proprietary technology able to accurately reconstruct in a portable format both the PPG (PhotoPlethysmoGraphy) signal and Pulse Wave Velocity (PWV).","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030377","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584661
Yunfei Li, Xiang Xie, Guolin Li, Zhihua Wang
A lung nodule segmentation method is proposed to deal with juxta-pleural nodules in CT scans by smartly wrapping pleural wall shape into segmentation. The global pleural wall shape model is estimated by components analysis from adjacent CT slices to capture its invariant features of anatomical structure. In order to grasp more refined pleura features in each slice, the estimated global shape model is combined with local intensity and morphological features adaptively to produce final pleural wall segmentation through a level set based propagation algorithm. With the extracted pleural wall, the lung nodules can be segmented well by a level set method based on intensity contrast between nodule and background even when the nodules are attached to the pleural wall. The experimental results show that the proposed method can achieve DSC value of 0.70 on 175 juxta-pleural nodules from LIDC-IDRI database, outperforming the state of art method on this kind of nodules.
{"title":"Lung Nodule Segmentation Using Pleural Wall Shape","authors":"Yunfei Li, Xiang Xie, Guolin Li, Zhihua Wang","doi":"10.1109/BIOCAS.2018.8584661","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584661","url":null,"abstract":"A lung nodule segmentation method is proposed to deal with juxta-pleural nodules in CT scans by smartly wrapping pleural wall shape into segmentation. The global pleural wall shape model is estimated by components analysis from adjacent CT slices to capture its invariant features of anatomical structure. In order to grasp more refined pleura features in each slice, the estimated global shape model is combined with local intensity and morphological features adaptively to produce final pleural wall segmentation through a level set based propagation algorithm. With the extracted pleural wall, the lung nodules can be segmented well by a level set method based on intensity contrast between nodule and background even when the nodules are attached to the pleural wall. The experimental results show that the proposed method can achieve DSC value of 0.70 on 175 juxta-pleural nodules from LIDC-IDRI database, outperforming the state of art method on this kind of nodules.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130345091","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584795
M. N. Hasan, A. Fraiwan, U. Gurkan, J. Little
HemeChip is the first miniaturized, single-use cartridge-based microchip electrophoresis system for identifying and quantifying hemoglobin (Hb) variants from a drop of blood at the point-of-care (POC). It is estimated that 7% of world's population lives with a hemoglobin variant, and one of the most common and severe one being the recessively transmitted sickle hemoglobin which results in Sickle Cell Disease (SCD). HemeChip (Fig. 1A,C) separates Hb variants on a strip of cellulose acetate (CA) paper that is housed in the HemeChip cartridge. This HemeChip cartridge is a mass-producible, single-use cartridge that maintains a controlled environment and a constant electric field (applied through the electrodes, Fig. 1B) for the Hb separation process. The cartridge also contains an in-chip blotting mechanism and an anti-fogging feature. The anti-fogging feature is essential for real-time imaging and tracking of Hb band(s) during the separation process. HemeChip is integrated with a portable reader (Fig. 1D) to detect the type(s) and fraction of hemoglobin types present in a blood sample. HemeChip technology has been designed and developed to offer a robust, user-friendly platform to detect, identify, and quantify Hb variants (responsible for SCD variants) even in a limited resource settings.
{"title":"Live Demonstration: HemeChip - A Portable Microchip Electrophoresis Technology for Point-of-Care Sickle Cell Disease Screening","authors":"M. N. Hasan, A. Fraiwan, U. Gurkan, J. Little","doi":"10.1109/BIOCAS.2018.8584795","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584795","url":null,"abstract":"HemeChip is the first miniaturized, single-use cartridge-based microchip electrophoresis system for identifying and quantifying hemoglobin (Hb) variants from a drop of blood at the point-of-care (POC). It is estimated that 7% of world's population lives with a hemoglobin variant, and one of the most common and severe one being the recessively transmitted sickle hemoglobin which results in Sickle Cell Disease (SCD). HemeChip (Fig. 1A,C) separates Hb variants on a strip of cellulose acetate (CA) paper that is housed in the HemeChip cartridge. This HemeChip cartridge is a mass-producible, single-use cartridge that maintains a controlled environment and a constant electric field (applied through the electrodes, Fig. 1B) for the Hb separation process. The cartridge also contains an in-chip blotting mechanism and an anti-fogging feature. The anti-fogging feature is essential for real-time imaging and tracking of Hb band(s) during the separation process. HemeChip is integrated with a portable reader (Fig. 1D) to detect the type(s) and fraction of hemoglobin types present in a blood sample. HemeChip technology has been designed and developed to offer a robust, user-friendly platform to detect, identify, and quantify Hb variants (responsible for SCD variants) even in a limited resource settings.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497608","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584679
Elena Mancinelli, E. Niebur, R. Etienne-Cummings
Our visual system deals with a three-dimensional space but most of the current saliency models do not include depth information. We extend a proto-object based model to show how stereoscopic depth perception changes the ability to predict saliency on natural scenes. Results show the ability to mark depth discontinuities and a promising statistical improvement.
{"title":"Computational stereo-vision model of proto-object based saliency in three-dimensional space","authors":"Elena Mancinelli, E. Niebur, R. Etienne-Cummings","doi":"10.1109/BIOCAS.2018.8584679","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584679","url":null,"abstract":"Our visual system deals with a three-dimensional space but most of the current saliency models do not include depth information. We extend a proto-object based model to show how stereoscopic depth perception changes the ability to predict saliency on natural scenes. Results show the ability to mark depth discontinuities and a promising statistical improvement.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123928677","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584726
Jihun Lee, A. Nurmikko
Biomedical inductively-coupled transcutaneous implants with internal batteries typically rely on a two-coil charging system which places fundamental and practical limits such as requiring short coil-to-coil distance for useful Wireless Power Transfer (WPT) efficiency. In case of hermetic metal enclosures equipped with finite size dielectric window for magnetic flux penetration, two-coil configurations can induce substantial additional loss due to eddy currents generated on e.g. Ti metal surface by fringing B-fields. Dissipative losses are unwelcome as they increase the temperature of the implant. We focus here on high-performance implants with internal electronic circuits and power source which require frequent, rapid battery recharging. The case example is a wireless broadband neural recording device capable of high data rate transmission (> 40 Mbps). We describe a compact planar four-coil configuration to achieve efficient Wireless Power Transfer (WPT) across tissue layers exceeding 1 cm. For the device geometry discussed here, our system transfers up to 73 % and 46 % of RF energy across 16 mm-separated source-to-load coil, in absence or presence of a Ti-enclosure which embeds the energy harvesting coil pair respectively. Thin sheets of ferrites are integrated to enhance local B-fields. We are able to charge a 200 mAh medical-grade battery to useful 84% of its full charge capacity (near current saturation) within 1 hour through a sapphire window integrated with the hermetic Ti- enclosure. The measured temperature increase is 2.1 °C with Ti-can immersed in still saline, slightly above FDA requirements or more recent ISO standards. From physiological models, we expect that active cooling by body tissue surrounding the implant (such as microvasculature perfusion) will provide for a safe and efficient WPT method.
{"title":"Multi-coil High Efficiency Wireless Charger System for Hermetically Sealed Biomedical Implants","authors":"Jihun Lee, A. Nurmikko","doi":"10.1109/BIOCAS.2018.8584726","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584726","url":null,"abstract":"Biomedical inductively-coupled transcutaneous implants with internal batteries typically rely on a two-coil charging system which places fundamental and practical limits such as requiring short coil-to-coil distance for useful Wireless Power Transfer (WPT) efficiency. In case of hermetic metal enclosures equipped with finite size dielectric window for magnetic flux penetration, two-coil configurations can induce substantial additional loss due to eddy currents generated on e.g. Ti metal surface by fringing B-fields. Dissipative losses are unwelcome as they increase the temperature of the implant. We focus here on high-performance implants with internal electronic circuits and power source which require frequent, rapid battery recharging. The case example is a wireless broadband neural recording device capable of high data rate transmission (> 40 Mbps). We describe a compact planar four-coil configuration to achieve efficient Wireless Power Transfer (WPT) across tissue layers exceeding 1 cm. For the device geometry discussed here, our system transfers up to 73 % and 46 % of RF energy across 16 mm-separated source-to-load coil, in absence or presence of a Ti-enclosure which embeds the energy harvesting coil pair respectively. Thin sheets of ferrites are integrated to enhance local B-fields. We are able to charge a 200 mAh medical-grade battery to useful 84% of its full charge capacity (near current saturation) within 1 hour through a sapphire window integrated with the hermetic Ti- enclosure. The measured temperature increase is 2.1 °C with Ti-can immersed in still saline, slightly above FDA requirements or more recent ISO standards. From physiological models, we expect that active cooling by body tissue surrounding the implant (such as microvasculature perfusion) will provide for a safe and efficient WPT method.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116340622","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584675
Lihan Tang, Menglian Zhao, Yizhao Zhou, Xiaobo Wu
The performance of seizure prediction is usually affected by various kinds of artifacts, especially by physiological artifacts. To improve the performance of seizure prediction, this paper proposed an automatic artifact reduction method based on multivariate empirical mode decomposition and independent component analysis (MEMD-ICA). The proposed method could identify electrooculography (EOG) and electromyographic (EMG) artifacts precisely while keeping the useful neural signals as much as possible. The performance of seizure prediction has been significantly improved with an accuracy of 90.59% and a sensitivity of 91.09% based on CHB-MIT database.
{"title":"Automatic Artifact Reduction Based on MEMD- for Seizure Prediction","authors":"Lihan Tang, Menglian Zhao, Yizhao Zhou, Xiaobo Wu","doi":"10.1109/BIOCAS.2018.8584675","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584675","url":null,"abstract":"The performance of seizure prediction is usually affected by various kinds of artifacts, especially by physiological artifacts. To improve the performance of seizure prediction, this paper proposed an automatic artifact reduction method based on multivariate empirical mode decomposition and independent component analysis (MEMD-ICA). The proposed method could identify electrooculography (EOG) and electromyographic (EMG) artifacts precisely while keeping the useful neural signals as much as possible. The performance of seizure prediction has been significantly improved with an accuracy of 90.59% and a sensitivity of 91.09% based on CHB-MIT database.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128152767","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}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584698
C. Moldovan, M. Ion, S. Dinulescu, M. Savin, C. Brasoveanu, B. Firtat, M. Gartner, C. Lete, S. Mihaiu, M. Gheorghe, S. Gheorghe
The research paper will present a new energy autonomous system based on micro electrochemical sensors and ultra-thin solar cells, for concentration measurement of different ionic species in natural water sources. It focuses on the following directions: a) new microsensors for detection of nitrites and nitrates in natural water sources and b) low cost autonomous energy system integration and fabrication. The microsensors for nitrates/nitrites and heavy metals will be of electrochemical type, miniaturized, fully integrated, fabricated by micro - nano technology and connected to the electronic module that is providing detection, data acquisition and interpretation and data display. The chronoamperometry and voltammetry characterisation will be presented and the results in nitrites and nitrates detection will be provided. The energy harvester is including a UTSC, a dedicated storage and a power stabilizing device. SnO2, TiO2, ZnO, Pt-Au alloy, FTO materials have been optimised for sensors and solar cells.
{"title":"New system for nitrites and nitrates detection from natural water sources","authors":"C. Moldovan, M. Ion, S. Dinulescu, M. Savin, C. Brasoveanu, B. Firtat, M. Gartner, C. Lete, S. Mihaiu, M. Gheorghe, S. Gheorghe","doi":"10.1109/BIOCAS.2018.8584698","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584698","url":null,"abstract":"The research paper will present a new energy autonomous system based on micro electrochemical sensors and ultra-thin solar cells, for concentration measurement of different ionic species in natural water sources. It focuses on the following directions: a) new microsensors for detection of nitrites and nitrates in natural water sources and b) low cost autonomous energy system integration and fabrication. The microsensors for nitrates/nitrites and heavy metals will be of electrochemical type, miniaturized, fully integrated, fabricated by micro - nano technology and connected to the electronic module that is providing detection, data acquisition and interpretation and data display. The chronoamperometry and voltammetry characterisation will be presented and the results in nitrites and nitrates detection will be provided. The energy harvester is including a UTSC, a dedicated storage and a power stabilizing device. SnO2, TiO2, ZnO, Pt-Au alloy, FTO materials have been optimised for sensors and solar cells.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125686106","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}
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