Pub Date : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478674
Daniel Fehr, Renske Sassenburg, Jacqueline Blunschi, A. Lay-Ekuakille, A. Massaro, M. Bonmarin, F. Spano
Robots are slowly becoming part of our civilization, or at least one of the main evolutions of the third millennium. Nowadays their integration is based on their aspects by looking more and more human. Additionally, not only considering the psychological aspects, our society will have to improve their interaction. Systems integrating a full spectrum of sensors will have to be implemented. In this framework, as a preliminary step, the implementation of a tactile robotic skin can be an interesting upgrade. To guarantee safety between robots and humans, it can be interesting to implement such robots with human-like tactile perception. In this work, we focus on the realization of innovative tactile skin model. This model allows to sense and indicate where the pressures have been applied by using a combination of a flexible polymeric capacitive skin model combined with a LED matrix.
{"title":"A Capacitive Color-Changing Electronic Skin for Touch Sensing Applications","authors":"Daniel Fehr, Renske Sassenburg, Jacqueline Blunschi, A. Lay-Ekuakille, A. Massaro, M. Bonmarin, F. Spano","doi":"10.1109/MeMeA52024.2021.9478674","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478674","url":null,"abstract":"Robots are slowly becoming part of our civilization, or at least one of the main evolutions of the third millennium. Nowadays their integration is based on their aspects by looking more and more human. Additionally, not only considering the psychological aspects, our society will have to improve their interaction. Systems integrating a full spectrum of sensors will have to be implemented. In this framework, as a preliminary step, the implementation of a tactile robotic skin can be an interesting upgrade. To guarantee safety between robots and humans, it can be interesting to implement such robots with human-like tactile perception. In this work, we focus on the realization of innovative tactile skin model. This model allows to sense and indicate where the pressures have been applied by using a combination of a flexible polymeric capacitive skin model combined with a LED matrix.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124458886","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478671
A. Orrico, Leonard M. Bianchi, S. Korganbayev, M. Landrø, P. Saccomandi
Real-time monitoring and temperature-based control are beneficial for optimizing the outcomes of thermal ablation treatments. In this paper, simulations and experiments were performed to investigate the efficacy of the temperature-feedback control system in confining the thermal damaged area and in maintaining the setpoint temperature. The implemented control system adjusts the laser source power based on the maximum temperature values measured by fiber Bragg grating sensors. The theoretical model predicts the thermal response of the biological tissue under different control parameters and allows calculating the produced thermal damage. Different setpoint temperatures ranging from 43 °C to 60 °C were chosen to evaluate their effects on the irradiated tissue region, in terms of temperature trend and thermal damage. The numerical results are validated by the experimental temperature trends obtained applying the same control strategy. Finally, both the simulation results and experiment outcomes show the capability of the control system to confine the tissue thermal damaged area by performing a laser ablation procedure almost at the set temperature.
{"title":"Controlled photothermal therapy based on temperature monitoring: theoretical and experimental analysis","authors":"A. Orrico, Leonard M. Bianchi, S. Korganbayev, M. Landrø, P. Saccomandi","doi":"10.1109/MeMeA52024.2021.9478671","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478671","url":null,"abstract":"Real-time monitoring and temperature-based control are beneficial for optimizing the outcomes of thermal ablation treatments. In this paper, simulations and experiments were performed to investigate the efficacy of the temperature-feedback control system in confining the thermal damaged area and in maintaining the setpoint temperature. The implemented control system adjusts the laser source power based on the maximum temperature values measured by fiber Bragg grating sensors. The theoretical model predicts the thermal response of the biological tissue under different control parameters and allows calculating the produced thermal damage. Different setpoint temperatures ranging from 43 °C to 60 °C were chosen to evaluate their effects on the irradiated tissue region, in terms of temperature trend and thermal damage. The numerical results are validated by the experimental temperature trends obtained applying the same control strategy. Finally, both the simulation results and experiment outcomes show the capability of the control system to confine the tissue thermal damaged area by performing a laser ablation procedure almost at the set temperature.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122573325","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478605
Satyake Bakshi, S. Rajan
The threat of falling down is significantly higher for the geriatric population and can lead to serious injuries including death. In the past, classical Machine Learning/Deep Learning-based methods have been successfully investigated for the detection of falls. However, most of these methods require a lot of data in order to be successfully trained for accurate detection. In this work, we propose a shallow architecture using 1 × 1 filters for use in a few-shot Siamese network. The proposed architecture was used in a Siamese network-based fall detection system. The proposed detection system is shown to effectively learn feature representations for the detection of falls when trained with few signals acquired from wearables containing inertial motion unit (SisFall dataset). The proposed system achieved a performance of 93% ± 7% and 72.5% ± 10% in 15 and 1-shot scenarios respectively. Performance comparisons with Siamese convolutional autoencoders and transfer learning¬based approaches demonstrated the superiority of the proposed few shot fall detection system.
{"title":"Few-shot Fall Detection using Shallow Siamese Network","authors":"Satyake Bakshi, S. Rajan","doi":"10.1109/MeMeA52024.2021.9478605","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478605","url":null,"abstract":"The threat of falling down is significantly higher for the geriatric population and can lead to serious injuries including death. In the past, classical Machine Learning/Deep Learning-based methods have been successfully investigated for the detection of falls. However, most of these methods require a lot of data in order to be successfully trained for accurate detection. In this work, we propose a shallow architecture using 1 × 1 filters for use in a few-shot Siamese network. The proposed architecture was used in a Siamese network-based fall detection system. The proposed detection system is shown to effectively learn feature representations for the detection of falls when trained with few signals acquired from wearables containing inertial motion unit (SisFall dataset). The proposed system achieved a performance of 93% ± 7% and 72.5% ± 10% in 15 and 1-shot scenarios respectively. Performance comparisons with Siamese convolutional autoencoders and transfer learning¬based approaches demonstrated the superiority of the proposed few shot fall detection system.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378011","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478753
J. Ahmadi-Farsani, Davide Caron, G. Panuccio, B. Linares-Barranco, T. Serrano-Gotarredona
This paper presents a biohybrid arrangement made of a commercial microelectrode array (MEA) system for seizure-like activity detection in brain slices. The set-up takes advantage of an embedded fixed-point digital signal processor (DSP) to implement a neuron model and a field-potential to spike converter (FP2SP). The neuron model is biologically plausible and capable of generating various firing modalities. Based on a three-step algorithm, FP2SP extracts spikes from the epileptiform activity generated by brain slices. The seizure detector system is developed by connecting the FP2SP to the model neuron and properly tuning the FP2SP parameters. The results show that all the blocks of this system can operate properly in real-time mode and recognize seizure-like activity.
{"title":"A Real-Time DSP-Based Biohybrid MEA System for Seizure Detection In Vitro","authors":"J. Ahmadi-Farsani, Davide Caron, G. Panuccio, B. Linares-Barranco, T. Serrano-Gotarredona","doi":"10.1109/MeMeA52024.2021.9478753","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478753","url":null,"abstract":"This paper presents a biohybrid arrangement made of a commercial microelectrode array (MEA) system for seizure-like activity detection in brain slices. The set-up takes advantage of an embedded fixed-point digital signal processor (DSP) to implement a neuron model and a field-potential to spike converter (FP2SP). The neuron model is biologically plausible and capable of generating various firing modalities. Based on a three-step algorithm, FP2SP extracts spikes from the epileptiform activity generated by brain slices. The seizure detector system is developed by connecting the FP2SP to the model neuron and properly tuning the FP2SP parameters. The results show that all the blocks of this system can operate properly in real-time mode and recognize seizure-like activity.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127020305","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478768
A. Tigrini, F. Verdini, S. Fioretti, R. Rabini, O. Mercante, A. Mengarelli
In this study Cross Teager-Kaiser (CTK) operator was employed to combine the two stabilogram components recorded during static posturography to generate a new time-series that describes the interaction among them. Then, such interaction was measured through a complexity index as Lemepel-Ziv. The method proposed would overcome some limitations that classical posturographic data analysis encounters in underlining differences among groups of subjects. This aspect is of great interest in the assessment of pathologies that affect the nervous system and its balance control strategies. The discriminative capability of the proposed method was evaluated through two assessments: the first aimed to highlight differences between young and elderly subjects; the second, more challenging, required to highlight differences between diabetic patients without neuropathy and diabetic patients with asymptomatic neuropathy. Wilcoxon-Mann-Whitney tests revealed that CTK combined with Lempel-Ziv index significantly differentiate the groups in the two assessments.
{"title":"Cross Teager-Kaiser operator and Lempel-Ziv Index for the assessment of human posturographic data","authors":"A. Tigrini, F. Verdini, S. Fioretti, R. Rabini, O. Mercante, A. Mengarelli","doi":"10.1109/MeMeA52024.2021.9478768","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478768","url":null,"abstract":"In this study Cross Teager-Kaiser (CTK) operator was employed to combine the two stabilogram components recorded during static posturography to generate a new time-series that describes the interaction among them. Then, such interaction was measured through a complexity index as Lemepel-Ziv. The method proposed would overcome some limitations that classical posturographic data analysis encounters in underlining differences among groups of subjects. This aspect is of great interest in the assessment of pathologies that affect the nervous system and its balance control strategies. The discriminative capability of the proposed method was evaluated through two assessments: the first aimed to highlight differences between young and elderly subjects; the second, more challenging, required to highlight differences between diabetic patients without neuropathy and diabetic patients with asymptomatic neuropathy. Wilcoxon-Mann-Whitney tests revealed that CTK combined with Lempel-Ziv index significantly differentiate the groups in the two assessments.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127989660","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478710
Pedram Fekri, Hamid Reza Nourani, M. Razban, J. Dargahi, Mehrdad Zadeh, A. Arshi
Having a real sense of the applied force in catheterization procedures can help surgeons with proper treatment for cardiovascular diseases. Using sensors is not common because of the limitations of catheters and complications related to the safety of patients. In this regard, a sensor free method can be deemed as a safe solution, in which it uses available equipment in the real operation room. In this work, we propose a deep learning method to estimate the contact forces directly from the catheters’ image tip without embedding further sensors. A convolutional neural network extracts the catheter’s deflections through input images and translates them into the corresponding forces. The architecture of the proposed model has been inspired by the ResNet graph so as to perform a regression. The model can make predictions based on the input images without utilizing any feature extraction or preprocessing steps. An experimental setup was designed and implemented to simulate catheter ablation therapy. Evaluation results show that the proposed method is able to elicit a robust model from the given dataset and approximate the force with proper accuracy. Opting RMSE as the preferred performance metric, the model reached 0.028 N and 0.023 N in estimation error in the x and y direction on the test data set, respectively.
{"title":"A Deep Learning Force Estimator System for Intracardiac Catheters","authors":"Pedram Fekri, Hamid Reza Nourani, M. Razban, J. Dargahi, Mehrdad Zadeh, A. Arshi","doi":"10.1109/MeMeA52024.2021.9478710","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478710","url":null,"abstract":"Having a real sense of the applied force in catheterization procedures can help surgeons with proper treatment for cardiovascular diseases. Using sensors is not common because of the limitations of catheters and complications related to the safety of patients. In this regard, a sensor free method can be deemed as a safe solution, in which it uses available equipment in the real operation room. In this work, we propose a deep learning method to estimate the contact forces directly from the catheters’ image tip without embedding further sensors. A convolutional neural network extracts the catheter’s deflections through input images and translates them into the corresponding forces. The architecture of the proposed model has been inspired by the ResNet graph so as to perform a regression. The model can make predictions based on the input images without utilizing any feature extraction or preprocessing steps. An experimental setup was designed and implemented to simulate catheter ablation therapy. Evaluation results show that the proposed method is able to elicit a robust model from the given dataset and approximate the force with proper accuracy. Opting RMSE as the preferred performance metric, the model reached 0.028 N and 0.023 N in estimation error in the x and y direction on the test data set, respectively.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133799501","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478675
S. Korganbayev, S. Asadi, Inbal Maor, E. Schena, H. Azhari, I. Weitz, P. Saccomandi
Copper oxide nanoparticles (CuO-NPs) have the potential of serving as an anticancer theranostic agent with photothermal capabilities. In order to control their toxicity and release, the CuO NPs were encapsulated within polymeric nanospheres composed of poly(lactic-co-glycolic acid) (PLGA) core and polydopamine (PDA)/polyethylene glycol (PEG) shell. After the characterization of synthesized nanospheres, their photothermal response to different near-infrared laser sources (808 nm, 940 nm and 1064 nm) was assessed in terms of the measured temperature. Arrays of sub-millimetric fiber Bragg grating sensors were employed to achieve an optimal spatial resolution for resolving the temperature increase in samples embedding the nanospheres. The results have shown that the designed structure of CuO@PLGA/PDA/PEG nanospheres substantially augments the temperature elevation. A maximum of 30 °C temperature increase, in comparison with the control solution, was achieved for the 808 nm laser source. These results indicate that the designed structure of CuO@PLGA/PDA/PEG nanospheres is suitable for further applications towards chemo-photothermal therapy combined with diagnostic imaging for the treatment of cancer.
{"title":"Measurement of Enhanced Photothermal Effects of CuO-encapsulated Polymeric Nanospheres","authors":"S. Korganbayev, S. Asadi, Inbal Maor, E. Schena, H. Azhari, I. Weitz, P. Saccomandi","doi":"10.1109/MeMeA52024.2021.9478675","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478675","url":null,"abstract":"Copper oxide nanoparticles (CuO-NPs) have the potential of serving as an anticancer theranostic agent with photothermal capabilities. In order to control their toxicity and release, the CuO NPs were encapsulated within polymeric nanospheres composed of poly(lactic-co-glycolic acid) (PLGA) core and polydopamine (PDA)/polyethylene glycol (PEG) shell. After the characterization of synthesized nanospheres, their photothermal response to different near-infrared laser sources (808 nm, 940 nm and 1064 nm) was assessed in terms of the measured temperature. Arrays of sub-millimetric fiber Bragg grating sensors were employed to achieve an optimal spatial resolution for resolving the temperature increase in samples embedding the nanospheres. The results have shown that the designed structure of CuO@PLGA/PDA/PEG nanospheres substantially augments the temperature elevation. A maximum of 30 °C temperature increase, in comparison with the control solution, was achieved for the 808 nm laser source. These results indicate that the designed structure of CuO@PLGA/PDA/PEG nanospheres is suitable for further applications towards chemo-photothermal therapy combined with diagnostic imaging for the treatment of cancer.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131742572","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478596
L. Kassab, Andrew J. Law, Bruce Wallace, J. Larivière-Chartier, R. Goubran, F. Knoefel
The ability to quickly screen people for symptoms of infectious disease is important to reduce disease transmission in long term care facilities and crowded public spaces. To achieve this goal, one option could be non-contact sensor arrays that measure vital signs. In this work, we present initial results for the assessment of heart rate through video magnification techniques applied to visible light Red/Green/Blue (RGB) video recordings of the face. The work specifically explores the effect of region of interest size on the accuracy of heart rate measurements. The visible skin on a person’s face can be obscured by hair or face masks, leading to a need for algorithms and methods that can compensate for these effects. The results show the potential for the combination of many small regions as an alternative to a single large region. The best performance for small regions is a mean absolute error of 9.9% while larger regions performed better with the best error performance of <3%. The work also shows that for larger regions covering most/all of the face, body motion reduces the performance more than the use of a face mask that obscures a portion of the face. This work provides the foundation for further development of robust non-contact health screening solutions.
{"title":"Effects of Region of Interest Size on Heart Rate Assessment through Video Magnification","authors":"L. Kassab, Andrew J. Law, Bruce Wallace, J. Larivière-Chartier, R. Goubran, F. Knoefel","doi":"10.1109/MeMeA52024.2021.9478596","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478596","url":null,"abstract":"The ability to quickly screen people for symptoms of infectious disease is important to reduce disease transmission in long term care facilities and crowded public spaces. To achieve this goal, one option could be non-contact sensor arrays that measure vital signs. In this work, we present initial results for the assessment of heart rate through video magnification techniques applied to visible light Red/Green/Blue (RGB) video recordings of the face. The work specifically explores the effect of region of interest size on the accuracy of heart rate measurements. The visible skin on a person’s face can be obscured by hair or face masks, leading to a need for algorithms and methods that can compensate for these effects. The results show the potential for the combination of many small regions as an alternative to a single large region. The best performance for small regions is a mean absolute error of 9.9% while larger regions performed better with the best error performance of <3%. The work also shows that for larger regions covering most/all of the face, body motion reduces the performance more than the use of a face mask that obscures a portion of the face. This work provides the foundation for further development of robust non-contact health screening solutions.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944199","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478684
Satheesh Natarajan, M. DeRosa, J. Joseph, M. Shah, S. Karthik
A novel aptamer-antibody pair-based lateral flow assay was designed to rapidly quantify Cystatin C (CysC). CysC is a small protein that can be expressed by all nucleated cells. It is rarely influenced by factors other than Glomerular filtration rate (GFR), an indicator of renal function chronic kidney diseases (CKD). That makes it a reliable biomarker for the measurement of the GFR. Aptamers bind specifically to the target molecules, it is less expensive, more stable, and lack immunogenicity. The aptamers became a valuable tool in clinical diagnosis and made them a great alternative to antibodies. In this study, we designed and developed an aptamer- antibody pair-based quantitative lateral flow assay for the CysC quantification in the human sample. A highly sensitive and specific CysC sensor was achieved by conjugating CysC selective aptamers to the organic dye Alexafluor-647. When CysC molecules are present in the sample, they form a complex with the designed aptamers to bind, especially with the CysC antibody immobilized on the lateral flow assay strip's test zone. Important parameters that influence the sensitivity in lateral flow assay, such as the concentration of aptamers in the conjugation pad, were evaluated to give the optimum assay performance. The assay was precise and has a limit of detection of 0.013 µg/µl was shown better than the antibody-based kit. In summary, the resulting LFA aptamers-based sensor provides a rapid, sensitive, cost-effective point of care sensor for CysC detection in human samples.
设计了一种新的基于适配体抗体对的横向流动测定方法，以快速定量Cystatin C (CysC)。CysC是一种小蛋白，可在所有有核细胞中表达。它很少受到肾小球滤过率(GFR)以外的因素的影响，肾小球滤过率是肾功能慢性肾病(CKD)的指标。这使得它成为测量GFR的可靠生物标志物。适配体与靶分子特异性结合，成本更低，更稳定，但缺乏免疫原性。适体在临床诊断中成为一种有价值的工具，并使它们成为抗体的一个很好的替代品。在这项研究中，我们设计并开发了一种基于适体抗体对的定量侧流法，用于人样品中CysC的定量。通过将CysC选择性适配体偶联到有机染料Alexafluor-647上，获得了高灵敏度和特异性的CysC传感器。当样品中存在CysC分子时，它们与设计的适配体形成络合物结合，特别是与固定在侧流测定条测试区的CysC抗体结合。影响横向流动测定灵敏度的重要参数，如偶联垫中适配体的浓度，被评估以提供最佳的测定性能。该试剂盒检测精度高，检出限为0.013µg/µl，优于基于抗体的试剂盒。综上所述，基于LFA适配体的传感器为人体样品中的CysC检测提供了快速、敏感、经济高效的护理点传感器。
{"title":"Aptamer based Lateral Flow Assays for Rapid and Sensitive Detection of CKD marker Cystatin C","authors":"Satheesh Natarajan, M. DeRosa, J. Joseph, M. Shah, S. Karthik","doi":"10.1109/MeMeA52024.2021.9478684","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478684","url":null,"abstract":"A novel aptamer-antibody pair-based lateral flow assay was designed to rapidly quantify Cystatin C (CysC). CysC is a small protein that can be expressed by all nucleated cells. It is rarely influenced by factors other than Glomerular filtration rate (GFR), an indicator of renal function chronic kidney diseases (CKD). That makes it a reliable biomarker for the measurement of the GFR. Aptamers bind specifically to the target molecules, it is less expensive, more stable, and lack immunogenicity. The aptamers became a valuable tool in clinical diagnosis and made them a great alternative to antibodies. In this study, we designed and developed an aptamer- antibody pair-based quantitative lateral flow assay for the CysC quantification in the human sample. A highly sensitive and specific CysC sensor was achieved by conjugating CysC selective aptamers to the organic dye Alexafluor-647. When CysC molecules are present in the sample, they form a complex with the designed aptamers to bind, especially with the CysC antibody immobilized on the lateral flow assay strip's test zone. Important parameters that influence the sensitivity in lateral flow assay, such as the concentration of aptamers in the conjugation pad, were evaluated to give the optimum assay performance. The assay was precise and has a limit of detection of 0.013 µg/µl was shown better than the antibody-based kit. In summary, the resulting LFA aptamers-based sensor provides a rapid, sensitive, cost-effective point of care sensor for CysC detection in human samples.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132365034","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478699
E. Nicotra, D. Lecca, G. Marchese
The informativity and sensitivity of psychometric scales may play a relevant role in interpreting the results of clinical trials. In an attempt to investigate the possibility to improve the suitability of psychometric tools in psychopharmacology, an analysis of the available mathematical and statistical strategies has been carried out. The results suggested that both inter-item correlations and probabilistic analyses should be regarded as valid approaches for evaluating and improving the informativity and sensitivity of a psychometric scale to be used in clinical trials. Symptom profiles analyses and repeated parceling procedures appeared to be helpful for a proper alignment between the theoretical and empirical variability which can be identified by a psychometric scale among individuals enrolled in clinical psychopharmacological trails.
{"title":"Psychometric scales in clinical psychopharmacology trials: mathematical and statistical evaluations","authors":"E. Nicotra, D. Lecca, G. Marchese","doi":"10.1109/MeMeA52024.2021.9478699","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478699","url":null,"abstract":"The informativity and sensitivity of psychometric scales may play a relevant role in interpreting the results of clinical trials. In an attempt to investigate the possibility to improve the suitability of psychometric tools in psychopharmacology, an analysis of the available mathematical and statistical strategies has been carried out. The results suggested that both inter-item correlations and probabilistic analyses should be regarded as valid approaches for evaluating and improving the informativity and sensitivity of a psychometric scale to be used in clinical trials. Symptom profiles analyses and repeated parceling procedures appeared to be helpful for a proper alignment between the theoretical and empirical variability which can be identified by a psychometric scale among individuals enrolled in clinical psychopharmacological trails.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094202","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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