2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献

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A Machine Learning Approach to Carotid Wall Localization in A-mode Ultrasound A型超声颈动脉壁定位的机器学习方法
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137228
Shivendra Singh, A. Sahani
{"title":"A Machine Learning Approach to Carotid Wall Localization in A-mode Ultrasound","authors":"Shivendra Singh, A. Sahani","doi":"10.1109/MeMeA49120.2020.9137228","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137228","url":null,"abstract":"ARTSENS is being developed as a fully automated ultrasound based imageless system to facilitate mass screening of patients for early detection of atherosclerosis especially in low- and middle- income countries. ARTSENS uses a single element ultrasound transducer and thus makes its measurement on basis of observations on A-line. Positioning the single element transducer on the carotid artery and automatic identification of proximal and distal walls are a major challenge in this device. In this paper, we explore various machine learning methods namely – logistic regression, support vector machine and Adaboost, on selectively extracted features. The algorithms were trained on data from 60 subjects and tested on data from 40 subjects. Adaboost algorithm performed the best among the three logging a 91.66% accuracy.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114572077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Fluorescence Signal-to-Noise Ratio Enhanced by Off-Plane Excitation for Quantitative PCR Device 利用离面激发提高荧光信噪比的定量PCR装置
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137332
L. Chao, H. Tsai, Cheng-Ru Li, Kuo-Cheng Huang, Yu-Hsuan Lin, D. Shieh
{"title":"Fluorescence Signal-to-Noise Ratio Enhanced by Off-Plane Excitation for Quantitative PCR Device","authors":"L. Chao, H. Tsai, Cheng-Ru Li, Kuo-Cheng Huang, Yu-Hsuan Lin, D. Shieh","doi":"10.1109/MeMeA49120.2020.9137332","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137332","url":null,"abstract":"The fluorescence signal of Sybr Green can represent the amount of target DNA copy numbers in the samples, thereby determine a positive or negative diagnostic results after polymerase chain reaction (PCR). For precision quantification of the target gene in the sample, the fluorescent signal should be recorded in each cycle. Traditionally, highly sensitive devices such as silicon photomultipliers and high-power light source such as laser diode were used to excite and detect the fluorescence from double strand DNA selective dyes. However, the costs of these components were too high to be widely applied for rapidly on-site screening of outbreak causing pathgens in local clinics and fields of tests. In this study, low-cost optical element such as LED and photodiode were used to implementan off-plane excitation method to enhance the fluorescence signal. Several parameters such as illumination angle between LED and photodiode in horizontal direction and tilted illumination in vertical direction were optimized in the experiment to ensure the performance. The results showed that the fluorescence intensity can be enhanced approximately 25 %. These results indicated that the developed illumination architecture had advantages of low background noise, high sensitivity and high fluorescence variation. This research has successfully demonstrated an off-plane excitation method for enhancing the resolution of qPCR system and applying in medical diagnostics, rapid screening and related applications.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125951607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
MeMeA 2020 Copyright Page MeMeA 2020版权页面
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/memea49120.2020.9137233
{"title":"MeMeA 2020 Copyright Page","authors":"","doi":"10.1109/memea49120.2020.9137233","DOIUrl":"https://doi.org/10.1109/memea49120.2020.9137233","url":null,"abstract":"","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125997202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robotic Autism Rehabilitation by Wearable Brain-Computer Interface and Augmented Reality 基于可穿戴脑机接口和增强现实的机器人自闭症康复
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137144
P. Arpaia, C. Bravaccio, G. Corrado, Luigi Duraccio, N. Moccaldi, Silvia Rossi
{"title":"Robotic Autism Rehabilitation by Wearable Brain-Computer Interface and Augmented Reality","authors":"P. Arpaia, C. Bravaccio, G. Corrado, Luigi Duraccio, N. Moccaldi, Silvia Rossi","doi":"10.1109/MeMeA49120.2020.9137144","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137144","url":null,"abstract":"An instrument based on the integration of Brain Computer Interface (BCI) and Augmented Reality (AR) is proposed for robotic autism rehabilitation. Flickering stimuli at fixed frequencies appear on the display of Augmented Reality (AR) glasses. When the user focuses on one of the stimuli a Steady State Visual Evoked Potentials (SSVEP) occurs on his occipital region. A single-channel electroencephalographic Brain Computer Interface detects the elicited SSVEP and sends the corresponding commands to a mobile robot. The device’s high wearability (single channel and dry electrodes), and the trainingless usability are fundamental for the acceptance by Autism Spectrum Disorder (ASD) children. Effectively controlling the movements of a robot through a new channel enhances rehabilitation engagement and effectiveness. A case study at an accredited rehabilitation center on 10 healthy adult subjects highlighted an average accuracy higher than 83%. Preliminary further tests at the Department of Translational Medical Sciences of University of Naples Federico II on 3 ASD patients between 8 and 10 years old provided positive feedback on device acceptance and attentional performance.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"35 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Adaptive excitation signals for low frequency FOT 低频FOT的自适应激励信号
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137113
Cedric Busschots, Andy Keymolen, Hannes Maes, D. Peumans, Johan Pattyn, G. Vandersteen, J. Lataire
{"title":"Adaptive excitation signals for low frequency FOT","authors":"Cedric Busschots, Andy Keymolen, Hannes Maes, D. Peumans, Johan Pattyn, G. Vandersteen, J. Lataire","doi":"10.1109/MeMeA49120.2020.9137113","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137113","url":null,"abstract":"The low frequency Forced Oscillation Technique (FOT) has a high diagnostic potential for the detection of respiratory diseases. However, it is not yet widely accepted in clinical practice. The presence of the patient's breathing generally results in patient-unfriendly measurement protocols. These are needed to extract the important low frequency information about the patients' respiratory system.This work presents a novel technique to apply the low frequency FOT during spontaneous breathing. This is accomplished by adding an external visual stimulus to encourage the patient to approximately synchronize his/her breathing in combination with an excitation signal that is adapted to the patient's natural breathing frequency. The breathing and FOT contributions can therefore be separated. This paper contains a proof of concept of this method and proposes measurements on healthy subjects.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120911690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Feasibility investigation of low-cost microwave needle applicator for thermal ablation cancer therapy 低成本微波针刺器用于肿瘤热消融治疗的可行性研究
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137354
Vincenza Portosi, A. Loconsole, M. Valori, V. Marrocco, F. Bonelli, G. Pascazio, Vito Lampignano, Antonella Fasano, R. Lorusso, F. Prudenzano
{"title":"Feasibility investigation of low-cost microwave needle applicator for thermal ablation cancer therapy","authors":"Vincenza Portosi, A. Loconsole, M. Valori, V. Marrocco, F. Bonelli, G. Pascazio, Vito Lampignano, Antonella Fasano, R. Lorusso, F. Prudenzano","doi":"10.1109/MeMeA49120.2020.9137354","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137354","url":null,"abstract":"Microwave (MW) applicators are widely used in medicine for thermal ablation / hyperthermia therapy in cancer treatment. Their goal is a proper local temperature increment of the irradiated tissue, allowing ablation or necrosis of tumoral cells. In this work, the design and fabrication of a low-cost mini-invasive needle applicator for hyperthermia cancer therapy is illustrated after the investigation of different optimization approaches. The applicator is composed by a coaxial antenna working in the Industrial, Scientific and Medical (ISM) frequency band at f=2.45 GHz. Several simulations and preliminary measurements are performed in order to investigate different geometries, different 3D printing materials, impedance matching techniques and radiating sections to fit 14 gauge (14 G) and 16 gauge (16 G) needle sizes. Moreover, a cooling system is considered to maintain the surrounding healthy tissue at lower temperature. A prototype has been constructed and characterized.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Recognizing AR-guided manual tasks through autonomic nervous system correlates: a preliminary study 通过自主神经系统关联识别ar引导的手动任务:初步研究
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137309
M. Nardelli, S. Condino, S. Ghiasi, A. L. Callara, Gianluca Rho, M. Carbone, V. Ferrari, E. Scilingo, A. Greco
{"title":"Recognizing AR-guided manual tasks through autonomic nervous system correlates: a preliminary study","authors":"M. Nardelli, S. Condino, S. Ghiasi, A. L. Callara, Gianluca Rho, M. Carbone, V. Ferrari, E. Scilingo, A. Greco","doi":"10.1109/MeMeA49120.2020.9137309","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137309","url":null,"abstract":"Optical see-through head-mounted displays (HMD) enable optical superposition of computer-generated virtual data onto the user’s natural view of the real environment. This makes them the most suitable candidate to guide manual tasks, as for augmented reality (AR) guided surgery. However, most commercial systems have a single focal plane at around 2-3 m inducing \"vergence-accommodation conflict\" and \"focal rivalry\" when used to guide manual tasks. These phenomena can often cause visual fatigue and low performance. In this preliminary study, ten subjects performed a precision manual task in two conditions: with or without using the AR HMD. We demonstrated a significant deterioration of the performance using the AR-guided manual task. Moreover, we investigated the autonomic nervous system response through the analysis of the heart rate variability (HRV) and electrodermal activity (EDA) signals. We developed a pattern recognition system that was able to automatically recognize the two experimental conditions using only EDA and HRV data with an accuracy of 75%. Our learning algorithm highlighted two different physiological patterns combining parasympathetic and sympathetic information.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122477116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters 时空步态参数测量优化方案的精度评价及临床应用
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137305
Ilaria Mileti, Juri Taborri, L. D’Alvia, S. Parisi, M. C. Ditto, C. Peroni, M. Scarati, M. Priora, S. Rossi, E. Fusaro, Z. Prete, E. Palermo
{"title":"Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters","authors":"Ilaria Mileti, Juri Taborri, L. D’Alvia, S. Parisi, M. C. Ditto, C. Peroni, M. Scarati, M. Priora, S. Rossi, E. Fusaro, Z. Prete, E. Palermo","doi":"10.1109/MeMeA49120.2020.9137305","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137305","url":null,"abstract":"Monitoring spatio-temporal parameters of gait, such as Stride Length, Gait Time and Gait Speed, through inertial measurement units is a research topic of great interest in clinics. Despite the high interest in the field, the development of a high accuracy wearable solution for spatio-temporal parameters assessment in a clinical scenario, suitable for both normal and pathological gait, is still an open challenge. In this study we proposed a novel solution to estimate spatio-temporal parameters through Inertial Measurement Units and an optimized strap-down approach for drift reduction. For the accuracy evaluation three healthy subjects were enrolled. Each subject was equipped with two inertial sensors placed on feet. Subjects were asked to repeat seven walking trials, through the calibration volume of an optoelectronic system, used as a reference. As a clinical application, we used the solution to assess fatigue effects on healthy and pathological subjects considering the 6-Minute Walking Test. Results showed high accuracy in the estimation of spatio-temporal parameters for each subject. The mean relative error of the Stride Length estimation among subjects was 1.1±0.7% and 0.8±0.5% for the left and right side. The clinical application was conducted on a cohort of ten patients with Systemic Sclerosis and ten age-matched healthy adults. Statistical differences were observed between populations in the Stride Length and in the Gait Speed. Moreover, all subjects experienced fatigue effect reporting lower values of spatio-temporal parameters in the last minute, compared to the first one. The excellent results in the accuracy evaluation encourage application of this methodology in normal and in pathological gait monitoring where a low error in the estimation of spatial gait parameters is required.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Applicability of Multi-model Databases for Accessible Indoor Navigation 多模型数据库在无障碍室内导航中的适用性
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137149
Gabriella Simon-Nagy, Rita Fleiner, A. Várkonyi-Kóczy
{"title":"Applicability of Multi-model Databases for Accessible Indoor Navigation","authors":"Gabriella Simon-Nagy, Rita Fleiner, A. Várkonyi-Kóczy","doi":"10.1109/MeMeA49120.2020.9137149","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137149","url":null,"abstract":"In this paper an accessible indoor navigation data model suitable for multi-model NoSQL databases is proposed, based on iLOC and iACC ontologies. We consider our previous observations about practicality and performance of labeled property graph data models used for accessible indoor wayfinding and suggest multiple ways of improvement by using a multi-model approach. A very important aim of the new data model is to provide a structure to be able to run fully customizable wayfinding queries with respect to accessibility needs of disabled users.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115923499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A preliminary quantitative EEG study on Augmented Reality Guidance of Manual Tasks 增强现实人工任务引导的定量脑电图初步研究
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137171
Gianluca Rho, A. L. Callara, S. Condino, S. Ghiasi, M. Nardelli, M. Carbone, V. Ferrari, A. Greco, E. Scilingo
{"title":"A preliminary quantitative EEG study on Augmented Reality Guidance of Manual Tasks","authors":"Gianluca Rho, A. L. Callara, S. Condino, S. Ghiasi, M. Nardelli, M. Carbone, V. Ferrari, A. Greco, E. Scilingo","doi":"10.1109/MeMeA49120.2020.9137171","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137171","url":null,"abstract":"Augmented reality (AR) head mounted displays (HMDs) combine user’s natural view of the real world with virtual data. Thus, they might be particularly suited to guide manual tasks as in computer-aided-surgery. However, the typical focal plane of commercial devices is outside the user’s peripersonal space (i.e. the space containing reachable objects), limiting the performance of manual-task guidance. Specifically, known issues such as the \"vergence-accomodation-conflict\" and the \"focus-rivalry\" may lead to visual fatigue and mental workload worsening task performance. Here, we exploit EEG recordings during a \"connecting-the-dots\" task performed with and without AR to study the effects of mental workload associated with AR-related visual fatigue. First, we quantify the reduction of users’ performance based on starting and end points gap errors. Then, we investigate the effects on AR usage on cortical activity through the analysis of EEG power and Frontal Alpha Asymmetry (FAA) index. Although preliminary, EEG power results suggest that mental workload associated with AR usage may derive from enhanced difficulty associated with the task.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115865791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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