Pub Date : 2016-11-01DOI: 10.1109/HIC.2016.7797723
P. Jonnalagedda, Fei Deng, Kyle Douglas, L. Chukoskie, Michael C. Yip, T. Ng, Truong Nguyen, A. Skalsky, H. Garudadri
An instrumented glove worn by caregivers that can augment subjective assessments of spasticity with an objective, repeatable metric with reduced inter- and intra-rater variability and improved resolution over existing standards is highly desirable. We present the design and preliminary results of such a system using commercial, off the shelf (COTS) components. The glove includes spatially-resolved, force-dependent resistive sensor elements and an inertial measurement unit. We developed a mock patient that is equipped with a mechanism to adjust the arm stiffness, a load-cell and a potentiometer to measure the work done to move the arm. The mock patient provides ground truth to validate the proposed concept. We report the power measured by the sensors in the mock patient to move the arm and the power estimated by the glove in moving the arm and show Pearson correlation coefficient of 0.64. We observe that raw sensor data and instrumentation errors contributed to significant outliers in these experiments. Initial assessments by clinician show promise of the proposed approach to improve spasticity assessment. Future work includes improvements to instrumentation and further clinical evaluations.
{"title":"An instrumented glove for improving spasticity assessment","authors":"P. Jonnalagedda, Fei Deng, Kyle Douglas, L. Chukoskie, Michael C. Yip, T. Ng, Truong Nguyen, A. Skalsky, H. Garudadri","doi":"10.1109/HIC.2016.7797723","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797723","url":null,"abstract":"An instrumented glove worn by caregivers that can augment subjective assessments of spasticity with an objective, repeatable metric with reduced inter- and intra-rater variability and improved resolution over existing standards is highly desirable. We present the design and preliminary results of such a system using commercial, off the shelf (COTS) components. The glove includes spatially-resolved, force-dependent resistive sensor elements and an inertial measurement unit. We developed a mock patient that is equipped with a mechanism to adjust the arm stiffness, a load-cell and a potentiometer to measure the work done to move the arm. The mock patient provides ground truth to validate the proposed concept. We report the power measured by the sensors in the mock patient to move the arm and the power estimated by the glove in moving the arm and show Pearson correlation coefficient of 0.64. We observe that raw sensor data and instrumentation errors contributed to significant outliers in these experiments. Initial assessments by clinician show promise of the proposed approach to improve spasticity assessment. Future work includes improvements to instrumentation and further clinical evaluations.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127586861","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797685
Raziur Rahman, R. Pal
The use of drug combinations to increase efficacy and lower resistance to therapy for personalized cancer medicine is being commonly recognized. Approaches have been recently designed to address the selection of drug combinations that can be highly effective across tumor cells but limited research have been conducted on the toxicity of these unique drug combinations. In this article, we approach this problem of combination drug toxicity by analyzing drug synergy over in vitro normal cell lines and generate combination drug concentrations whose combined effect on normal cell lines is less than the maximum monotherapy effect at approved concentrations. We present a mathematical framework for combination response estimation among multiple cell cultures along with stochastic analysis of prediction uncertainty. Results indicate the ability of the proposed framework to generate feasibly combination drug concentrations satisfying monotherapy toxicity constraints.
{"title":"A mathematical framework for analyzing drug combination toxicity for personalized medicine applications","authors":"Raziur Rahman, R. Pal","doi":"10.1109/HIC.2016.7797685","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797685","url":null,"abstract":"The use of drug combinations to increase efficacy and lower resistance to therapy for personalized cancer medicine is being commonly recognized. Approaches have been recently designed to address the selection of drug combinations that can be highly effective across tumor cells but limited research have been conducted on the toxicity of these unique drug combinations. In this article, we approach this problem of combination drug toxicity by analyzing drug synergy over in vitro normal cell lines and generate combination drug concentrations whose combined effect on normal cell lines is less than the maximum monotherapy effect at approved concentrations. We present a mathematical framework for combination response estimation among multiple cell cultures along with stochastic analysis of prediction uncertainty. Results indicate the ability of the proposed framework to generate feasibly combination drug concentrations satisfying monotherapy toxicity constraints.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185126","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797689
Xianta Jiang, Hon T. Chu, Z. Xiao, Lukas-Karim Merhi, C. Menon
Monitoring the movements of the ankle may be highly relevant for applications such as sport injury prevention, rehabilitation, and gait analysis. This paper explores the feasibility of employing force myography (FMG) on the distal end of the lower leg to detect ankle position. FMG signals corresponding to 7 different ankle positions were recorded from three healthy volunteers. Using a linear discriminant analysis (LDA) classifier, the system achieved averaged prediction accuracies of 94% and 85% in cross validation and cross-trial evaluation, respectively. The results of this proof-of-concept study demonstrate the feasibility of using FMG to detect ankle position and its consequent potential use for acquiring information relevant to leg movement and gait.
{"title":"Ankle positions classification using force myography: An exploratory investigation","authors":"Xianta Jiang, Hon T. Chu, Z. Xiao, Lukas-Karim Merhi, C. Menon","doi":"10.1109/HIC.2016.7797689","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797689","url":null,"abstract":"Monitoring the movements of the ankle may be highly relevant for applications such as sport injury prevention, rehabilitation, and gait analysis. This paper explores the feasibility of employing force myography (FMG) on the distal end of the lower leg to detect ankle position. FMG signals corresponding to 7 different ankle positions were recorded from three healthy volunteers. Using a linear discriminant analysis (LDA) classifier, the system achieved averaged prediction accuracies of 94% and 85% in cross validation and cross-trial evaluation, respectively. The results of this proof-of-concept study demonstrate the feasibility of using FMG to detect ankle position and its consequent potential use for acquiring information relevant to leg movement and gait.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121256716","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797693
Ra'na Chengani, M. L. Delva, Maram Sakr, C. Menon
Force Myography (FMG) is novel method of tracking functional motor activity using volumetric changes associated with muscle function. With comparable accuracy and multiple advantages over traditional methods of functional motor activity tracking, FMG has made leaps and bounds in terms of applications in human-machine interfaces and healthcare devices. As a field that is rapidly gaining popularity in health innovation, the aim of this paper is to contribute to our understanding of the nature FMG methods and establish it as a robust and reliable technique. The main point of exploration for this study is the impact of sensor placement and spatial coverage on FMG methods. Five participants were invited to perform a series of isolated wrist motions and hand gestures while wearing custom built FMG devices. Linear Discriminant Analysis (LDA) machine learning models were developed using 80% of the data for training and 20% for testing. Overall, the accuracy of the LDA models ranged from 75% to 100% across all subjects and dimensions of FMG data. The model accuracy improved when increasing the spatial coverage from 1 FMG band to 2, but it did not increase further with additions. The results also showed that the improved accuracy offered by a large spatial coverage of FMG data can be approximated by lower spatial coverage if sensors were place in an optimal location. This location was indicated to be midway between the wrist and the collective muscle bellies of intrinsic forearm muscles. The knowledge generated from this work aims serve as a guide towards the development of portable FMG based technology for widespread deployment in the general population. The hope is that the long-term benefits of continued FMG research will address issues in healthcare associated with disparities in access to medical technologies.
{"title":"Pilot study on strategies in sensor placement for robust hand/wrist gesture classification based on movement related changes in forearm volume","authors":"Ra'na Chengani, M. L. Delva, Maram Sakr, C. Menon","doi":"10.1109/HIC.2016.7797693","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797693","url":null,"abstract":"Force Myography (FMG) is novel method of tracking functional motor activity using volumetric changes associated with muscle function. With comparable accuracy and multiple advantages over traditional methods of functional motor activity tracking, FMG has made leaps and bounds in terms of applications in human-machine interfaces and healthcare devices. As a field that is rapidly gaining popularity in health innovation, the aim of this paper is to contribute to our understanding of the nature FMG methods and establish it as a robust and reliable technique. The main point of exploration for this study is the impact of sensor placement and spatial coverage on FMG methods. Five participants were invited to perform a series of isolated wrist motions and hand gestures while wearing custom built FMG devices. Linear Discriminant Analysis (LDA) machine learning models were developed using 80% of the data for training and 20% for testing. Overall, the accuracy of the LDA models ranged from 75% to 100% across all subjects and dimensions of FMG data. The model accuracy improved when increasing the spatial coverage from 1 FMG band to 2, but it did not increase further with additions. The results also showed that the improved accuracy offered by a large spatial coverage of FMG data can be approximated by lower spatial coverage if sensors were place in an optimal location. This location was indicated to be midway between the wrist and the collective muscle bellies of intrinsic forearm muscles. The knowledge generated from this work aims serve as a guide towards the development of portable FMG based technology for widespread deployment in the general population. The hope is that the long-term benefits of continued FMG research will address issues in healthcare associated with disparities in access to medical technologies.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806595","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797734
G. Choi, Daniel Song, J. Miao, L. Cui, W. Guan
This paper presents a "sample-in-answer-out" molecular diagnostic system (AnyMDx) for blood-born malaria detection at the point of care, especially in resource-limiting settings. AnyMDx consists of a microfluidic reagent compact disk incorporating seamlessly integrated steps of DNA extraction, purification, elution, and amplification, as well as a mobile battery-powered analyzer. Low power thermal module and novel fluorescence sensing module are integrated into the analyzer for real-time monitoring of loop-mediated isothermal nucleic acid amplification (LAMP). The AnyMDx has an assay detection limit of ~0.6 parasites/μL against blood P. falciparum parasites, much lower than conventional microscope-based method (~50 parasites/μL) and immunoassay based RTD (~100 parasites/μL). AnyMDx is fully automated and thus is easily accessible to non-specialist with minimal molecular training. The sample-to-answer turnaround time for AnyMDx is less than 40 minutes.
{"title":"Mobile all-in-one malaria molecular diagnosis for field deployment in resource-limited areas","authors":"G. Choi, Daniel Song, J. Miao, L. Cui, W. Guan","doi":"10.1109/HIC.2016.7797734","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797734","url":null,"abstract":"This paper presents a \"sample-in-answer-out\" molecular diagnostic system (AnyMDx) for blood-born malaria detection at the point of care, especially in resource-limiting settings. AnyMDx consists of a microfluidic reagent compact disk incorporating seamlessly integrated steps of DNA extraction, purification, elution, and amplification, as well as a mobile battery-powered analyzer. Low power thermal module and novel fluorescence sensing module are integrated into the analyzer for real-time monitoring of loop-mediated isothermal nucleic acid amplification (LAMP). The AnyMDx has an assay detection limit of ~0.6 parasites/μL against blood P. falciparum parasites, much lower than conventional microscope-based method (~50 parasites/μL) and immunoassay based RTD (~100 parasites/μL). AnyMDx is fully automated and thus is easily accessible to non-specialist with minimal molecular training. The sample-to-answer turnaround time for AnyMDx is less than 40 minutes.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483781","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797699
Sudip Vhaduri, A. Munch, C. Poellabauer
Health, fitness, and overall wellbeing of college students depend on a variety of factors and a greater understanding of these factors will ensure that health and wellness interventions directed at students are effective. The widespread use of smartphones provides an opportunity to continuously track students and assess their behaviors and habits, such as mobility trends, social interactions, and academic activities. In this work, we analyze data collected from almost 200 students over three semesters and examine how health and mobility habits differ between Spring semester and Fall semester and how they are impacted by academic and social events. Our analysis shows that social events such as football games increase the students' mobility, but also decrease their usage of athletic facilities. In our study, students are significantly less mobile during the Spring semester compared to the Fall semester and their visits to athletic and spiritual places reduce significantly during exam times. Students' mobility is positively correlated with social event count; however, visits to athletic places are negatively correlated with event count and evening events have the strongest correlation with both mobility and visits to athletic places. These findings will provide useful guidelines for the design of interventions that aim to increase students' mobility and healthy choices during times when attention to health and wellness may suffer otherwise.
{"title":"Assessing health trends of college students using smartphones","authors":"Sudip Vhaduri, A. Munch, C. Poellabauer","doi":"10.1109/HIC.2016.7797699","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797699","url":null,"abstract":"Health, fitness, and overall wellbeing of college students depend on a variety of factors and a greater understanding of these factors will ensure that health and wellness interventions directed at students are effective. The widespread use of smartphones provides an opportunity to continuously track students and assess their behaviors and habits, such as mobility trends, social interactions, and academic activities. In this work, we analyze data collected from almost 200 students over three semesters and examine how health and mobility habits differ between Spring semester and Fall semester and how they are impacted by academic and social events. Our analysis shows that social events such as football games increase the students' mobility, but also decrease their usage of athletic facilities. In our study, students are significantly less mobile during the Spring semester compared to the Fall semester and their visits to athletic and spiritual places reduce significantly during exam times. Students' mobility is positively correlated with social event count; however, visits to athletic places are negatively correlated with event count and evening events have the strongest correlation with both mobility and visits to athletic places. These findings will provide useful guidelines for the design of interventions that aim to increase students' mobility and healthy choices during times when attention to health and wellness may suffer otherwise.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186223","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797724
R. Salla, R. Pahle, Ashish Amresh
Multidisciplinary tumor boards (MTBs) are universally recommended and have been used in treatment of late stage cancers. Tumor boards have the advantage of including all the stakeholders in the decision making process and improving quality of care, however several studies have pointed to their lack of efficiency and tend to be lackluster while not producing the desired benefits for the participants. In this paper we present the design of a web based immersive framework for collaborative decision making that has the potential to improve several inefficiencies in conducting tumor boards and improve overall clinical outcomes. We present the design of our framework and use late stage cancer treatment as an example to explain its software components and its role in improving communication, treatment time and the overall decision making process. The framework which has been successfully used in other collaborative decision-making environments has the potential to transform how tumor boards could dramatically improve the quality of cancer care in the future.
{"title":"A complex systems framework approach towards multidisciplinary tumor boards","authors":"R. Salla, R. Pahle, Ashish Amresh","doi":"10.1109/HIC.2016.7797724","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797724","url":null,"abstract":"Multidisciplinary tumor boards (MTBs) are universally recommended and have been used in treatment of late stage cancers. Tumor boards have the advantage of including all the stakeholders in the decision making process and improving quality of care, however several studies have pointed to their lack of efficiency and tend to be lackluster while not producing the desired benefits for the participants. In this paper we present the design of a web based immersive framework for collaborative decision making that has the potential to improve several inefficiencies in conducting tumor boards and improve overall clinical outcomes. We present the design of our framework and use late stage cancer treatment as an example to explain its software components and its role in improving communication, treatment time and the overall decision making process. The framework which has been successfully used in other collaborative decision-making environments has the potential to transform how tumor boards could dramatically improve the quality of cancer care in the future.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494846","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797696
D. Blanco, J. Annen, A. Piarulli, A. Díaz-Méndez, Steven Laureys
In this paper is presented an analysis of the phase lag index (PLI) in healthy controls and patients with disorders of consciousness aimed to find differences in connectivity of brain sources between these two states in different frequency bands. It was analyzed a total of 50 EEGs, 28 from healthy patients and 22 from patients with disorders of consciousness with two kind of montages, bipolar and mastoid referenced. The patients show a higher PLI in lower frequency bands with significative differences for interhemispheric distances between electrodes using a mastoid reference.
本文通过对健康对照者和意识障碍患者的相位滞后指数(phase lag index, PLI)进行分析，旨在发现两种状态下不同频带的脑源连通性的差异。对50例脑电图进行分析，其中健康患者28例，意识障碍患者22例，采用双相和乳突两种蒙太奇对照。患者在较低频段显示更高的PLI，使用乳突参考电极之间的半球间距离有显著差异。
{"title":"A phased lag index study in patients with disorders of consciousness","authors":"D. Blanco, J. Annen, A. Piarulli, A. Díaz-Méndez, Steven Laureys","doi":"10.1109/HIC.2016.7797696","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797696","url":null,"abstract":"In this paper is presented an analysis of the phase lag index (PLI) in healthy controls and patients with disorders of consciousness aimed to find differences in connectivity of brain sources between these two states in different frequency bands. It was analyzed a total of 50 EEGs, 28 from healthy patients and 22 from patients with disorders of consciousness with two kind of montages, bipolar and mastoid referenced. The patients show a higher PLI in lower frequency bands with significative differences for interhemispheric distances between electrodes using a mastoid reference.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116594329","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797725
Hongming Xu, Huiquan Wang, R. Berendt, N. Jha, M. Mandai
Segmentation of cell nuclei is an important step towards automatic analysis of microscopic images. This paper presents an automated technique for nuclear segmentation in skin histopathological images. The proposed technique first detects nuclear seeds using a bank of generalized Laplacian of Gaussian (gLoG) kernels. Based on the detected nuclear seeds, a multi-scale radial line scanning (mRLS) method combined with dynamic programming (DP) is utilized to delineate a set of candidate nuclear boundaries. The gradient, intensity and shape information are then integrated to determine the optimal boundary for each nucleus in the image. Experimental results on 28 H&E stained skin histopathological images show that the proposed technique is superior to conventional schemes in nuclear segmentation.
{"title":"Automated nuclear segmentation in skin histopathological images using multi-scale radial line scanning","authors":"Hongming Xu, Huiquan Wang, R. Berendt, N. Jha, M. Mandai","doi":"10.1109/HIC.2016.7797725","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797725","url":null,"abstract":"Segmentation of cell nuclei is an important step towards automatic analysis of microscopic images. This paper presents an automated technique for nuclear segmentation in skin histopathological images. The proposed technique first detects nuclear seeds using a bank of generalized Laplacian of Gaussian (gLoG) kernels. Based on the detected nuclear seeds, a multi-scale radial line scanning (mRLS) method combined with dynamic programming (DP) is utilized to delineate a set of candidate nuclear boundaries. The gradient, intensity and shape information are then integrated to determine the optimal boundary for each nucleus in the image. Experimental results on 28 H&E stained skin histopathological images show that the proposed technique is superior to conventional schemes in nuclear segmentation.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116601190","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 : 2016-11-01DOI: 10.1109/HIC.2016.7797711
U. Obahiagbon, D. Kullman, Joseph T. Smith, B. Katchman, Hany M Arafa, K. Anderson, J. Christen
This work details the design and characterization of a low-cost, portable and highly sensitive fluorescence detection system intended for use in a compact and disposable point-of-care (POC) device. The detection device leverages time integration to improve the signal to noise ratio (SNR) compared to instantaneous measurements. It also eliminates complicated focusing optics and electronics typically found in bulky and expensive laboratory-scale devices. Characterization was performed by measuring a series of logarithmically scaled dilutions of 1 μm Nile Red fluorescent microspheres immobilized on microscope slides. This approach eliminates assay dependencies and elucidates the actual system performance. A theoretical model that predicts the time-integrated output voltage profile of the sensor was developed; this prediction is useful for evaluating any lens-free fluorescent system based on a set of filters and choice of fluorophore. By relating the fluorophore concentration, system design parameters, and the output voltage, the model matches well with the empirical data and the limit of determination (LOD) for Nile Red is 20 particles. This system provides a sensitive and potentially low-cost device for fluorescent diagnosis in an integrated and compact/miniaturized POC device, lab-on-chip or a table-top reader.
{"title":"Characterization of a compact and highly sensitive fluorescence-based detection system for point-of-care applications","authors":"U. Obahiagbon, D. Kullman, Joseph T. Smith, B. Katchman, Hany M Arafa, K. Anderson, J. Christen","doi":"10.1109/HIC.2016.7797711","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797711","url":null,"abstract":"This work details the design and characterization of a low-cost, portable and highly sensitive fluorescence detection system intended for use in a compact and disposable point-of-care (POC) device. The detection device leverages time integration to improve the signal to noise ratio (SNR) compared to instantaneous measurements. It also eliminates complicated focusing optics and electronics typically found in bulky and expensive laboratory-scale devices. Characterization was performed by measuring a series of logarithmically scaled dilutions of 1 μm Nile Red fluorescent microspheres immobilized on microscope slides. This approach eliminates assay dependencies and elucidates the actual system performance. A theoretical model that predicts the time-integrated output voltage profile of the sensor was developed; this prediction is useful for evaluating any lens-free fluorescent system based on a set of filters and choice of fluorophore. By relating the fluorophore concentration, system design parameters, and the output voltage, the model matches well with the empirical data and the limit of determination (LOD) for Nile Red is 20 particles. This system provides a sensitive and potentially low-cost device for fluorescent diagnosis in an integrated and compact/miniaturized POC device, lab-on-chip or a table-top reader.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131093665","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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