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2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献

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Automated, Portable, and Low-Cost System for Home Screening of Peripheral Arterial Disease 自动、便携、低成本的外周动脉疾病家庭筛查系统
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478761
Nosratallah Forghani, K. Maghooli, N. J. Dabanloo, A. Farahani, M. Forouzanfar
Peripheral artery disease (PAD) is the manifestation of atherosclerosis where peripheral arteries are narrowed by the deposition of lipid and cholesterol and formation of fat fiber plaques on their walls. Occlusion and narrowing of the arteries may lead to several cardiovascular diseases and therefore in-time diagnosis and treatment of PAD is essential. There are several invasive and noninvasive methods to diagnosis of PAD, however, still an automated, easy-to-use, and affordable device for in-home monitoring of cardiovascular health is lacking. In this study, an oscillometric system is used to record arterial wall oscillations at different external pressures in lower and upper limbs. Wavelet transform is used to extract features from the amplitude of the recorded arterial wall oscillations and an adaptive neuro-fuzzy inference system (ANFIS) is used to identify PAD based on the extracted features. Because of the ANFIS high computational cost, linear discriminant analysis (LDA) is applied to the features to reduce their dimension before feeding them to ANFIS. The performance of proposed method is compared versus the conventional ankle-brachial test on a dataset of oscillometric recording obtained from 14 patients with PAD and 14 healthy individuals. Based on a five-fold cross validation, our method achieved an accuracy of 82% in detecting PAD. The results show promise toward the development of in-home cardiovascular monitors for cardiovascular health assessment.
外周动脉疾病(PAD)是动脉粥样硬化的表现,外周动脉由于脂质和胆固醇的沉积以及脂肪纤维斑块的形成而变窄。动脉闭塞和狭窄可导致多种心血管疾病,因此及时诊断和治疗PAD至关重要。目前有几种有创和无创诊断PAD的方法,然而,仍然缺乏一种自动化、易于使用和负担得起的家庭心血管健康监测设备。在这项研究中,一个振荡测量系统被用来记录在不同的外部压力下,下肢和上肢动脉壁的振荡。利用小波变换从动脉壁振荡记录的振幅中提取特征,利用自适应神经模糊推理系统(ANFIS)基于提取的特征对PAD进行识别。由于ANFIS的计算成本高,在将特征输入到ANFIS之前,采用线性判别分析(LDA)对特征进行降维处理。在14名PAD患者和14名健康个体的振荡记录数据集上,将所提出方法的性能与传统的踝关节-肱试验进行了比较。基于五重交叉验证,我们的方法检测PAD的准确率达到82%。研究结果为开发用于心血管健康评估的家用心血管监测仪提供了前景。
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引用次数: 0
Design and response analysis of a circular patch resonator for adherent cell culture detection 贴壁细胞培养检测用圆形贴片谐振器的设计与响应分析
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478716
S. Carraro, L. D’Alvia, Francesca Cerminara, Z. Prete, E. Rizzuto
The study of the interaction between electromagnetic waves and matter plays a crucial role in detecting materials under test (MUTs). Recently, radiofrequency (RF) planar resonator probes have been used to characterize MUTs by evaluating their dielectric properties. Many studies proposed these devices as biosensors, especially for dielectric measurement of living cellular suspension or even single cell. However, even though these cellular applications represent a starting point for medical diagnostic improvement, they do not consider cell interaction and adhesion. We proposed a preliminary study to design a circular patch resonator to detect adherent cell cultures in this work. Different configurations comprising a patch smaller, equal and greater than that of a standard culture Petri dish have been analyzed. The simulation results were then compared with the theoretical ones obtained applying the circular microstrip antenna’s empirical equation. Results showed that the simulation outcomes differed from the theoretical ones less than 1.5%. Finally, once the best patch diameter was identified, two other simulation sets were carried out to evaluate the antenna’s sensitivity. In the first set, we simulated the antenna response to four different volumes of culture medium (from 1.50 ml to 6.00 ml), while in the second one, we simulated the antenna response to different levels of C2C12 cell confluence in a fixed volume (1.5 ml) of culture medium. The results showed that the designed probe could discriminate between medium and C2C12 culture cells based on their permittivity change.
电磁波与物质相互作用的研究在检测被测材料中起着至关重要的作用。近年来,射频(RF)平面谐振器探头已被用于通过评估其介电特性来表征mut。许多研究提出这些器件作为生物传感器,特别是用于活细胞悬浮液甚至单细胞的介电测量。然而,尽管这些细胞应用代表了医学诊断改进的起点,但它们没有考虑细胞相互作用和粘附。我们提出了一个初步的研究,设计一个圆形贴片谐振器,以检测贴壁细胞培养。不同的配置,包括一个小,等于和大于标准培养皿的补丁进行了分析。并将仿真结果与应用圆形微带天线经验方程得到的理论结果进行了比较。结果表明,模拟结果与理论结果相差不到1.5%。最后,一旦确定了最佳贴片直径,就进行另外两个仿真集来评估天线的灵敏度。在第一组中,我们模拟了四种不同体积的培养基(从1.50 ml到6.00 ml)对天线的响应,在第二组中,我们模拟了在固定体积(1.5 ml)的培养基中不同水平的C2C12细胞融合对天线的响应。结果表明,所设计的探针可以根据培养基和C2C12培养细胞介电常数的变化来区分培养基和C2C12培养细胞。
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引用次数: 3
Comparison of Portable Calibrator Produced in TUBITAK UME for the Calibration of Infrared Ear Thermometers with the Primary Calibration System TUBITAK UME生产的便携式红外耳式温度计校准仪与主校准系统的比较
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478733
H. Durmuş, B. Karaböce
Infrared ear thermometers (IRETs) have been used extensively in recent years, especially both in health care facilities and increasingly at homes to measure body temperature in an easy, fast, simple, non-invasive and practical way. As the tympanic membrane or eardrum is very close to the hypothalamus in the brain that controls body temperature and shares blood, it reflects body temperature in the best way. Infrared thermometers are devices that measure body temperature by detecting thermal radiation from the tympanic membrane. In medical diagnostic and clinical applications, ear thermometers, which are commonly used nowadays, need to be monitored within the traceability chain to see if they work within the proper accuracy limits. For this reason, both the primary level calibration system and portable calibrator of IRETs have been developed in TÜBİTAK UME. In this study, the measurement results of the laboratory type ear thermometer reference system and portable calibrator developed for the calibration of infrared ear thermometers were compared with each other and it has been discussed whether these two systems meet the requirements of ASTM 1998 and EN 2003 standards.
近年来,红外耳温计(IRETs)在医疗机构和越来越多的家庭中得到广泛应用,以一种简便、快速、简单、无创和实用的方式测量体温。由于鼓膜或耳膜与大脑中控制体温并共享血液的下丘脑非常接近,因此它以最佳方式反映体温。红外线体温计是一种通过检测鼓膜的热辐射来测量体温的装置。在医疗诊断和临床应用中,目前常用的耳温计需要在可追溯链内进行监控,以查看它们是否在适当的精度范围内工作。为此,在TÜBİTAK UME开发了IRETs一级液位校准系统和便携式校准器。本研究对研制的用于红外耳温计校准的实验室式耳温参考系统和便携式校准器的测量结果进行了比较,并讨论了这两种系统是否符合ASTM 1998和EN 2003标准的要求。
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引用次数: 0
Pattern of errors in Raven’s Colored Progressive Matrices and their use in the clinical assessment of intelligence 瑞文彩色递进矩阵的错误模式及其在智力临床评估中的应用
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478720
D. Petretto, P. Grassi, C. Masala, E. Nicotra
Since his pioneer studies, Raven demonstrated the importance of qualitative and quantitative analysis of the performance in his Progressive Matrices Test, both in normative and clinical samples (Raven 1936, 1941a, 2000, Raven et al., 1995). He described four types of erroneous responses, named as follow: 1) difference error; 2) figure repetition error; 3) inadequate individuation error: 4) incomplete correlate error. Raven claimed that the qualitative analysis of the pattern of errors could be useful in the analysis of the level of reasoning used during the execution of the test: each error can have a different level of sophistication, the more sophisticated error is the more similar to the correct option (Raven et al., 1995) and each error gives some indication of the processes and the strategies used during the solution of the item(Raven et al., 1990). Moreover, there is a general agreement on the usefulness of qualitative error analysis to collect more information on the reasoning abilities. The present study aims to propose some findings of the assessment of the pattern of errors on Raven’s Colored Progressive Matrices in a kindergarten and primary schoolsample and to propose some hints of analysis on the role of the evaluation of types of errors from a clinical point of view. We also discuss about the use of pattern of errors evaluation as a way to gain information about reasoning during intelligence assessment. We also discuss its use during the current COVID-19 pandemic, as a way tocollectas more information as possible about reasoning in each individual, even with the use of e-platforms, like the ones used as alternative to face-to-face assessment of intelligence.
自从他的先驱研究以来,Raven证明了定性和定量分析在他的渐进式矩阵测试中的表现的重要性,无论是在规范样本还是临床样本中(Raven 1936, 1941, 2000, Raven等人,1995)。他描述了四种类型的错误反应,命名如下:1)差异错误;2)图形重复误差;3)不充分的个性化误差;4)不完全相关误差。Raven声称,对错误模式的定性分析可能有助于分析测试执行过程中使用的推理水平:每个错误都有不同的复杂程度,越复杂的错误与正确选项越相似(Raven等人,1995),每个错误都给出了解决项目过程和策略的一些指示(Raven等人,1990)。此外,人们普遍认为定性误差分析对于收集更多的推理能力信息是有用的。本研究旨在提出对幼儿园和小学样本的瑞文彩色递进矩阵错误模式评估的一些发现,并从临床角度分析错误类型评估的作用。我们还讨论了在智力评估中使用错误模式评估作为获取推理信息的一种方式。我们还讨论了它在当前COVID-19大流行期间的使用情况,作为收集尽可能多的关于每个人推理的信息的一种方式,即使使用电子平台,例如用于替代面对面智力评估的平台。
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引用次数: 1
Ensemble Empirical Mode Decomposition for Efficient R-Peak Detection in Electrocardiograms Acquired by Portable Sensors During Sport Activity 运动过程中便携式传感器获取的心电图的有效r峰检测的集成经验模态分解
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478598
Sofia Romagnoli, Ilaria Marcantoni, Katyana Campanella, A. Sbrollini, M. Morettini, L. Burattini
Wearable and portable electrocardiographic devices are revolutionizing athlete’s screening through digital health application enabling a continuous monitoring of important cardiac parameters in real-time. Automatic examination of electrocardiogram (ECG) acquired during sport activity is challenging because acquisition conditions often lead to record ECGs with low signal to noise ratio (SNR). The initial issue of automatic ECG analysis is the identification of R peaks. R peaks are fundamental for the estimation of heart rate, which is the primary clinical parameter used by athletes for athletic performance evaluation. Thus, the aim of this research is to propose an R-peak detection algorithm for ECGs acquired during sport activity by portable and wearable sensors dealing with low SNR. The algorithm is based on a noise assisted data analysis method: Ensemble Empirical Mode Decomposition method (EEMD). Localization of R peaks is primarily performed on the first intrinsic mode function extracted by the EEMD. The algorithm was tested on ‘Run on indoor treadmill’ dataset from Physionet. ECGs were acquired during running/light jogging on an indoor treadmill and present a low SNR (1±7 dB). The developed EEMD-based algorithm showed good performances in terms of positive predicted value (91.08%), sensitivity (92.76%), false discovery rate (8.92), false negative rate (7.24%), cumulative statistical index (83.84%) and mean R-peak position error 1.10 [0.46;1.46]ms. EEMD-based algorithm performs efficiently also in computing heart rate. In conclusion, the developed R-peak detection EEMD-based algorithm showed good level of performances even working on low-SNR ECG acquired during sport activity by portable sensors.
可穿戴和便携式心电图设备通过数字健康应用程序彻底改变了运动员的筛查,能够实时连续监测重要的心脏参数。自动检查在体育活动中获得的心电图(ECG)是具有挑战性的,因为采集条件往往导致记录的心电图信噪比(SNR)低。自动心电分析的首要问题是R峰的识别。R峰是估计心率的基础,而心率是运动员评价运动成绩的主要临床参数。因此,本研究的目的是针对低信噪比的便携式和可穿戴传感器在运动过程中采集的心电图,提出一种r峰检测算法。该算法基于噪声辅助数据分析方法:集成经验模态分解方法(EEMD)。R峰的定位主要在EEMD提取的第一个本征模态函数上进行。该算法在Physionet的“室内跑步机”数据集上进行了测试。心电图是在室内跑步机上跑步/轻度慢跑时获得的,呈现低信噪比(1±7 dB)。基于eemd的算法在阳性预测值(91.08%)、灵敏度(92.76%)、假发现率(8.92)、假阴性率(7.24%)、累计统计指数(83.84%)和平均r -峰位置误差(1.10 [0.46;1.46]ms)方面表现良好。基于eemd的算法在计算心率方面也有很好的效果。综上所述,所开发的基于r峰检测eemd的算法即使对便携式传感器在运动过程中采集的低信噪比心电也具有良好的性能。
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引用次数: 6
Dynamic Shear and Normal Forces on Patient Skin in Sling Lift Transfers 动态剪切力和法向力对患者皮肤在吊带提升转移
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478758
Steven Cramp, Bruce Wallace
The sling lift transfer system is commonly used in hospital and care home settings to transfer immobile and limited mobility patients from bed to chair or gurney. Even though this is the current standard of care, injuries to patients because of the forces applied to skin by the lift occur frequently. The lifts cause both normal and shear forces on the skin, and previous studies have only measured and reported on the applied normal forces with no assessment of shear. In this work, we use a novel shear and normal force sensor designed specifically to assess forces on skin and report the dynamic normal and shear forces during a sling lift. The shear forces are shown to be up to 8N for a partial lift of an adult male and occur both laterally and longitudinally along the thigh. Shear forces pull the skin and can cause injury, especially as skin tends to thin with age and become more susceptible to damage. This is the first reporting of shear forces during patient lifts.
吊带升降转移系统通常用于医院和养老院设置转移不动和行动不便的病人从床到椅子或轮床。尽管这是目前的护理标准,但由于升降机施加在皮肤上的力而对患者造成的伤害经常发生。抬升会对皮肤产生法向力和剪切力,以前的研究只测量和报告了施加的法向力,而没有评估剪切力。在这项工作中,我们使用了一种新型的剪切力和法向力传感器,专门用于评估皮肤上的力,并报告吊索提升过程中的动态法向力和剪力。对于一个成年男性的部分抬升,剪切力显示为高达8N,并沿大腿横向和纵向发生。剪切力拉扯皮肤,可能会造成伤害,尤其是随着年龄的增长,皮肤往往会变薄,更容易受到损伤。这是第一次报道在病人抬举过程中剪切力。
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引用次数: 4
Autonomic Nervous System Assessment During Physical Rehabilitation Serious Game 自主神经系统评估在物理康复严重游戏
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478742
M. Rodrigues, O. Postolache, F. Cercas
This study is aimed to analyze the correlations between heart rate variability (HRV) and a virtual reality (VR) serious game for physical rehabilitation. The possibility to use serious exergames as tools of ambient assisted living to promote physical activities during the COVID-19 pandemic lock-down period is considered appropriate to enhance patients’ engagement in physical rehabilitation exercises performed at home. The analyzed data in this study provides HRV information collected from a small group of healthy volunteers that participated in two gameplay sessions of the VR serious exergame. Two levels of difficulty were considered. HRV parameters were calculated from the analysis of electrocardiograms (ECG) for an imposed protocol characterized by three different periods (rest, play and rest) The HRV analysis was based on time-domain and frequency-domain methods and the experimental results showed significant changes associated with different game sessions. Higher values of HF components and RMSSD were obtained for a less physical demanding gameplay session, whereas the predominance of LF components was observed for the game session with high level of difficulty. These findings suggested that this serious game had an important impact on both physical and cognitive stimulation, and therefore its implementation in home-based assisted environments can help increase weekly performance of physical activity, enhance balance and limbs mobility, help to reduce anxiety levels, and maintain high levels of HRV.
本研究旨在分析心率变异性(HRV)与虚拟现实(VR)物理康复严肃游戏的相关性。在COVID-19大流行封锁期间,将严肃运动游戏作为环境辅助生活工具来促进身体活动的可能性被认为是适当的,以提高患者参与在家进行的身体康复锻炼。本研究分析的数据提供了从一小群健康志愿者中收集的HRV信息,这些志愿者参加了两个VR严肃游戏的游戏环节。我们考虑了两个难度等级。HRV参数通过对三个不同时段(休息、游戏和休息)的心电图分析计算,HRV分析基于时域和频域方法,实验结果显示不同游戏时段的HRV参数有显著变化。在体力要求较低的游戏过程中,高频成分和RMSSD的值较高,而在高难度的游戏过程中,观察到低频成分的优势。这些研究结果表明,这种严肃的游戏对身体和认知刺激都有重要影响,因此在家庭辅助环境中实施它可以帮助增加每周的身体活动表现,增强平衡和四肢活动能力,帮助减少焦虑水平,并保持高水平的HRV。
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引用次数: 1
BLE-based approach for detecting daily routine changes 基于ble的检测日常变化的方法
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478752
Ana Jiménez Martín, Ismael Miranda Gordo, David Gualda Gómez, S. G. D. Villa, Sergio Lluva Plaza, Juan Jesús García Domínguez
This work proposes a system to detect changes in daily routines in a controlled environment, such as a sensorized-home. Variations in routines can be indicative of physical or cognitive decline in elderly adults, which makes it very attractive to support independent living and healthy ageing. Our proposal is based on an indoor symbolic location system based on low-cost and easy-to-install Bluetooth Low Energy (BLE) transmitter beacons, together with a mobile receiver. The user's symbolic location is estimated from the Received Signal Strength Indicator (RSSI) and K-Nearest Neighbour (KNN) model, which is merged with the acceleration provided by the receiving mobile device. The location is used to estimate the time spent in each monitored room, to infer a time-based routine. The symbolic localization has an accuracy higher than 96%. The subsequent daily monitoring allows for the detection of variations with respect to a defined routine that can serve as an alarm for the user, family members or caregivers.
这项工作提出了一种在受控环境中检测日常生活变化的系统,例如感应式家庭。日常生活的变化可能表明老年人的身体或认知能力下降,这使得支持独立生活和健康老龄化非常有吸引力。我们的提案是基于一个室内符号定位系统,该系统基于低成本和易于安装的蓝牙低功耗(BLE)发射机信标以及移动接收器。用户的符号位置是根据接收信号强度指标(RSSI)和k近邻(KNN)模型估计的,该模型与接收移动设备提供的加速度合并。该位置用于估计在每个监控房间中花费的时间,以推断基于时间的例行程序。符号定位的准确率在96%以上。随后的日常监测允许检测与已定义的例行程序相关的变化,这些变化可以作为用户,家庭成员或护理人员的警报。
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引用次数: 3
Kinect-based wearable prototype system for ataxic patients neurorehabilitation: software update for exergaming and rehabilitation 基于kinect的共济失调患者神经康复可穿戴原型系统:运动与康复软件更新
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478668
Michela Franzo', Simona Pascucci, M. Serrao, F. Marinozzi, F. Bini
The aim of this study is to evaluate the differences introduced by an update of implemented code between the two version of prototype for ataxic patients’ neurorehabilitation device. The rehabilitation consists in virtual exercise for the patient to improve his control of the upper arm during daily movement. The prototype is based on the Microsoft Kinect device to acquire subject’s position and on the Arduino board with accelerometer/gyroscope sensor to acquire kinematics quantities of the wrist during the task. Two subjects were analysed with 2.0 version of the prototype and they were compared to 2 of 20 subjects selected from the first control group to highlight the differences between the two versions.
本研究的目的是评估两个版本的原型之间的差异引入了实施代码的更新为共济失调患者的神经康复装置。康复包括虚拟运动,以提高患者在日常活动中对上臂的控制。该原型基于微软Kinect设备来获取受试者的位置,并在Arduino板上带有加速度计/陀螺仪传感器来获取任务期间手腕的运动学量。用2.0版本的原型对两名受试者进行分析,并将他们与从第一个对照组中选出的20名受试者中的2名进行比较,以突出两个版本之间的差异。
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引用次数: 3
Non-Linear and Chaos-based Analysis of Electroretinogram 视网膜电图非线性混沌分析
Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478719
S. Behbahani, S. Rajan
Electroretinogram (ERG) is well-known for direct retinal function measurement. ERG responses to flicker stimulation can cause cyclic and oscillating changes in amplitude. Flicker response analyses are mostly based on amplitude and implicit time. However, non-linear analysis can also provide valuable information about the retinal function. In this paper, we investigate the flicker response using non-linear and chaotic features such as Approximate Entropy (ApEn), Hurst Exponent (HE), and Largest Lyapunov Exponent (LLE). Flicker responses were obtained from four groups with 16 subjects in each: one group with healthy subjects and three groups with central retinal vascular occlusion (CRVO), diabetic retinopathy (DR), and retinitis pigmentosa (RP) subjects, respectively. Statistical analysis shows that these non-linear and chaosbased features can distinguish the diseases and further indicate that the ERG has more complexity in healthy subjects than retinal disease subjects.
视网膜电图(ERG)是众所周知的直接测量视网膜功能。闪烁刺激下的ERG反应可引起振幅的循环和振荡变化。闪烁响应分析主要基于幅值和隐式时间。然而,非线性分析也可以提供有关视网膜功能的有价值的信息。本文利用近似熵(ApEn)、赫斯特指数(HE)和最大李雅普诺夫指数(LLE)等非线性和混沌特征来研究闪烁响应。在四组(每组16人)中获得闪烁反应:一组为健康受试者,三组分别为视网膜中央血管闭塞(CRVO)、糖尿病视网膜病变(DR)和视网膜色素变性(RP)受试者。统计分析表明,这些非线性和混沌特征可以区分疾病,进一步表明健康受试者的ERG比视网膜疾病受试者具有更大的复杂性。
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引用次数: 0
期刊
2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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