2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献_第2页

A Method for the Estimation of the Timing of Heart Sound Components Through Blind Source Separation in Multi-Source Phonocardiography 多声源心音成像中心音分量时间估计的盲源分离方法

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137315

N. Giordano, M. Knaflitz

{"title":"A Method for the Estimation of the Timing of Heart Sound Components Through Blind Source Separation in Multi-Source Phonocardiography","authors":"N. Giordano, M. Knaflitz","doi":"10.1109/MeMeA49120.2020.9137315","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137315","url":null,"abstract":"Recently, phonocardiography (PCG) has gained importance as a diagnostic tool for cardiovascular diseases. In particular, the measurement of the time of occurrence of heart sounds may be of interest, in the clinical context, for the analysis of the electromechanical coupling of the heart. To date, though, there is no standardization concerning the positioning of the microphone probe over the chest, and this causes low accuracy and consistency in the measured timing values. Multi-source phonocardiography is a promising approach to face the stated issue. In this work, we present a methodology to estimate the latency of the components of the two main heart sounds towards the corresponding R-wave peak based on the Blind Source Separation (BSS) of the contributions of the left and right side of the heart. We tested our algorithm on a sample population of 12 subjects over 10-minute long recordings of three simultaneous PCG signals and one electrocardiographic (ECG) signal for reference. Results show that the approach is robust with respect to the usage of different algorithms to perform BSS (FastICA, JADE). The measured timing values are consistent with what measured by means of a single-source algorithm we previously developed. This methodology looks promising in terms of obtaining accurate measurements of the time of occurrence of heart sound components and may have an impact in the clinical context.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"73 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":"116305797","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

Quantifying the color changes in bruised skin using a color-calibrated imaging system 使用颜色校准成像系统量化瘀伤皮肤的颜色变化

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137217

Cheng-Ru Li, H. Tsai, Chih-Chung Yang, Ming-Yen Lin, Kuo-Cheng Huang, Yu-Hsuan Lin

{"title":"Quantifying the color changes in bruised skin using a color-calibrated imaging system","authors":"Cheng-Ru Li, H. Tsai, Chih-Chung Yang, Ming-Yen Lin, Kuo-Cheng Huang, Yu-Hsuan Lin","doi":"10.1109/MeMeA49120.2020.9137217","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137217","url":null,"abstract":"The color of human skin can indirectly reflect the course of certain diseases, especially trauma or chronic diseases. Traditionally, doctors inspect and notice the abnormalities in the patient's skin color and then perform further examinations, such as blood or urine tests. The color of the skin can only be seen as a reference through the naked eye. To quantify it depends on a measurement system with precise lighting control and color correction procedures. In this study, an imaging system with color correction was developed to quantify the color of the skin. Through the composition of high color rendering lighting, dark room module, camera and polynomial regression algorithm to achieve the standard color difference (ΔE*) of less than 3. Measurements of artificial bruise and novel analytical methods were performed and developed to verify its performance. The results show that the developed system has the advantages of portability, high uniformity and high color accuracy. This research has successfully developed a novel inspection method for medical diagnostics, forensic science, and related applications.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"7 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":"114715195","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

Exploratory Analysis of Ultra-Short-Term Heart Rate Variability Features in Virtual Rehabilitation Sessions 虚拟康复过程中超短期心率变异性特征的探索性分析

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137133

R. Selzler, Andrew Smith, François Charih, A. Boyle, Janet Holly, Courtney Bridgewater, M. Besemann, Dorothyann Curran, A. Chan, J. Green

{"title":"Exploratory Analysis of Ultra-Short-Term Heart Rate Variability Features in Virtual Rehabilitation Sessions","authors":"R. Selzler, Andrew Smith, François Charih, A. Boyle, Janet Holly, Courtney Bridgewater, M. Besemann, Dorothyann Curran, A. Chan, J. Green","doi":"10.1109/MeMeA49120.2020.9137133","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137133","url":null,"abstract":"We are currently collecting multi-modal data from patients undergoing rehabilitation therapy using virtual reality for mild traumatic brain injury (mTBI), post-traumatic stress disorder (PTSD), and complex pain, with the goal of developing novel unobtrusive estimators of Sympathetic Activation of the Autonomic Nervous System (SAANS). In this study, we investigate whether heart rate variability (HRV) features extracted from electrocardiogram (ECG) measurements are correlated with clinical estimates of patient SAANS. Although previous studies have shown such correlation, the minimum amount of ECG data typically required for HRV feature extraction preclude their application in the present study; SAANS is expected to change quickly during therapy sessions and a rapid estimator is required. This paper investigates the use of ultra-short-term features extracted from ECG measurements for SAANS estimation with data collected during rehabilitation sessions with a Computer-Assisted Rehabilitation Environment (CAREN). A comparison between different scores and time excerpts were analysed using a single patient (n=1), over fifteen sessions, and sixty-seven activities. Preliminary results show that there was a significant difference between the AFTER and START excerpts (p = 0.045) for the meanNN feature, and between score \"four\" to scores \"zero\" (p = 0.01), and \"three\" (p = 0.02) for the stdNN feature.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"35 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":"114810477","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

Quantitative performance comparison of derivative operators for intervertebral kinematics analysis 椎间运动学分析中导数算子的定量性能比较

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137322

E. Andreozzi, M. A. Pirozzi, A. Fratini, G. Cesarelli, P. Bifulco

{"title":"Quantitative performance comparison of derivative operators for intervertebral kinematics analysis","authors":"E. Andreozzi, M. A. Pirozzi, A. Fratini, G. Cesarelli, P. Bifulco","doi":"10.1109/MeMeA49120.2020.9137322","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137322","url":null,"abstract":"Comparison of derivative operators via quantitative performance analysis is rarely addressed in medical imaging. Indeed, the main application of such operators is the extraction of edges and, since there is no unequivocal definition of edges, the common trend is to identify the best performing operator based on a qualitative match between the extracted edges and the fickle human perception of object boundaries. This study presents an objective comparison of four first-order derivative operators through quantitative analysis of results yielded in a specific task, i.e. a spine kinematics application. Such application is based on a template matching method, which estimates common kinematic parameters of intervertebral segments from an X-ray fluoroscopy sequence of spine motion, by operating on the image derivatives of each frame. Therefore, differences in image derivatives, computed via different derivative operators, may lead to differences in estimated parameters of intervertebral kinematics. The comparison presented in this study focused on the trajectory of the instantaneous center of rotation (ICR) of an intervertebral segment, as it is particularly sensitive even to very small differences in displacements and velocities. Therefore, a quantitative analysis of the discrepancies between the ICR trajectories, obtained with each of the four considered derivative operators, was carried out by defining quantitative measures. The results showed detectable differences in the obtained ICR trajectories, thus highlighting the need for quantitative analysis of derivative operator performances in applications aimed at providing quantitative results. However, the significance level of such differences for clinical applications should be further assessed, but, currently, it is not possible, as there is no consensus and sufficient data on kinematic parameters features associated with specific spinal pathologies.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"10 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":"121750967","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

Assessment and Calibration of Wearable Heart Rate Sensors Using a Fully Automated System 使用全自动系统的可穿戴式心率传感器的评估和校准

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137329

Emanuela Allegretti, Elena Sibilano, A. Nisio, A. Lanzolla, M. Spadavecchia

引用次数: 1

MeMeA 2020 Author Index MeMeA 2020作者索引

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/memea49120.2020.9137112

引用次数: 0

Electrochemical behaviour of additively manufactured titanium for biomedical applications 医用增材制造钛的电化学行为

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137205

A. Gullino, S. Grassini, E. Angelini, E. Padovano, C. Badini, L. Iannucci, M. Parvis

引用次数: 0

Machine Learning Based Hardware Model for a Biomedical System for Prediction of Respiratory Failure 基于机器学习的生物医学系统呼吸衰竭预测硬件模型

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137291

Omiya Hassan, S. Shamsir, S. Islam

引用次数: 8

Development of site–specific biomechanical indices for estimating injury risk in cycling 发展特定地点的生物力学指标，以估计骑车受伤的风险

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137327

T. Caporaso, A. Palomba, S. Grazioso, D. Panariello, G. Gironimo, F. Gimigliano, G. Iolascon, A. Lanzotti

引用次数: 1

Comparison of Manual and Automated Pressure Calibration Methods of Medical Pressure Calibrator 医用压力校准器手动与自动压力校准方法的比较

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI: 10.1109/MeMeA49120.2020.9137288

A. Türk, A. Hamarat, B. Karaböce

引用次数: 3