IEEE Open Journal of Instrumentation and Measurement最新文献_第9页

Year-End Message by the Outgoing Editor-in-Chief 即将离任的主编的年终致辞

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-12-08 DOI: 10.1109/OJIM.2023.3333608

Shervin Shirmohammadi

引用次数: 0

Nondestructive Diagnostic Measurement Methods for HF RFID Devices With AI Assistance 人工智能辅助下的高频 RFID 设备无损诊断测量方法

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-29 DOI: 10.1109/OJIM.2023.3335537

Thibaut Deleruyelle;Amaury Auguste;Florian Sananes;Ghislain Oudinet

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Microwave Complex Permittivity of Yttria-Stabilized Zirconia 钇稳定氧化锆的微波复合誘電率

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-15 DOI: 10.1109/OJIM.2023.3332398

Anna Case;Aaron Barvincak;Reza Zoughi

{"title":"Microwave Complex Permittivity of Yttria-Stabilized Zirconia","authors":"Anna Case;Aaron Barvincak;Reza Zoughi","doi":"10.1109/OJIM.2023.3332398","DOIUrl":"10.1109/OJIM.2023.3332398","url":null,"abstract":"The complex permittivity of 8-mol yttria-stabilized zirconia (8-YSZ) in powder and sintered (i.e., solid) forms were measured from 32 to 40 GHz using a circular waveguide probe. This probe is suitable for measuring both the powder and solid forms of materials. Comparative completely filled rectangular waveguide measurements of the powder were performed at three frequency bands to verify these results and also to extend the measured complex permittivity estimation frequency range. The results indicated good agreement between the two different measurement techniques. The complex permittivity of the 8-YSZ powder was measured to be \u0000<inline-formula> <tex-math>$(epsilon _{r} = 2.45 - j0.04)$ </tex-math></inline-formula>\u0000. Conductor-backed solid 8-YSZ, representative of an in-service ceramic coating, was also measured using the circular waveguide probe. Complex permittivity was measured to be significantly higher \u0000<inline-formula> <tex-math>$(epsilon _{r} = 29.28 - j0.07)$ </tex-math></inline-formula>\u0000 when the 8-YSZ was sintered into a solid form. This was attributed to densification and other effects occurring during the sintering process.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10319343","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135709610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals 用于脑电信号基线校正的分层变异模式分解

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332339

Shireen Fathima;Maaz Ahmed

{"title":"Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals","authors":"Shireen Fathima;Maaz Ahmed","doi":"10.1109/OJIM.2023.3332339","DOIUrl":"10.1109/OJIM.2023.3332339","url":null,"abstract":"Electroencephalogram (EEG) signals being time-resolving signals, suffer very often from baseline drift caused by eye movements, breathing, variations in differential electrode impedances, movement of the subject, and so on. This leads to misinterpretation of the EEG data under test. Hence, the absence of techniques for effectively removing the baseline drift from the signal can degrade the overall performance of the EEG-based systems. To address this issue, this article deals with developing a novel scheme of hierarchically decomposing a signal using variational mode decomposition (VMD) in a tree-based model for a given level of the tree for accurate and effective analysis of the EEG signal and research in brain–computer interface (BCI). The proposed hierarchical extension to the conventional VMD, i.e., H-VMD, is evaluated for performing baseline drift removal from the EEG signals. The method is tested using both synthetically generated and real EEG datasets. With the availability of ground-truth information in synthetically generated data, metrics like percentage root-mean-squared difference (PRD) and correlation coefficient are used as evaluation metrics. It is seen that the proposed method performs better in estimating the underlying baseline signal and closely resembles the ground truth with higher values of correlation and the lowest value of PRD when compared to the closely related state-of-the-art methods.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10317886","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrahigh-Sensitivity Pressure Sensor With Graphene Aerogel Electrodes 采用石墨烯气凝胶电极的超高灵敏度压力传感器

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332393

Ezzat G. Bakhoum

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Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing Framework 基于储层计算框架中的多分形分析的心脏异常鉴别方法

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332344

Basab Bijoy Purkayastha;Shovan Barma

{"title":"Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing Framework","authors":"Basab Bijoy Purkayastha;Shovan Barma","doi":"10.1109/OJIM.2023.3332344","DOIUrl":"10.1109/OJIM.2023.3332344","url":null,"abstract":"This study proposes a multiclass classification technique based on multifractal spectra for different types of cardiac arrhythmias which are associated with irregularity and/or complex dynamics of the heart. Indeed, the degree of complexity of such dynamics is diverse for different states of cardiac condition. Certainly, such physiological responses of the heart dynamics can be discriminated by analyzing electrocardiogram (ECG) signals through different channels. Earlier, ECG-based works for discriminating cardiac arrhythmias consider the heart as a black box system and the analysis is mostly surrounded with time domain statistical averages or spectral analysis. The works ignore one of the key parameters, i.e., the presence of time-localized irregularities which are strongly associated with different kinds of arrhythmias and contribute to subtle variations in the amplitude and shape of the signal dynamical system while analyzing the signal. Therefore, in this work, we proposed a new method based on multifractal analysis to classify different kinds of cardiac conditions. Here, we followed the dynamical systems approach and computed the multifractal spectrum of the embedded phase space structure of the ECG signal. We performed the classification task by an echo state network to reduce the computational burden. For validation, three well-known datasets (Shaoxing Peoples’ Hospital dataset, PTB diagnostic ECG database v1.0.0, and 2017 PhysioNet/CinC Challenge dataset) have been considered. The results and analysis show that the proposed method can achieve a maximum accuracy of up to 96%, which is significantly high. Further, an optimum number of channels/leads has also been evaluated in multichannel ECG analysis. The result and analysis reveal that the effectiveness of the model in classifying various categories of cardiac disorders from ECG.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10317876","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Cross-Talk in a Flat Panel Detector on CT Image Quality 平板探测器中的串扰对 CT 图像质量的影响

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332342

Seemeen Karimi;James Hall;Jerel A. Smith;Joseph Tringe

{"title":"The Impact of Cross-Talk in a Flat Panel Detector on CT Image Quality","authors":"Seemeen Karimi;James Hall;Jerel A. Smith;Joseph Tringe","doi":"10.1109/OJIM.2023.3332342","DOIUrl":"10.1109/OJIM.2023.3332342","url":null,"abstract":"Spatial resolution and image noise are two aspects of image quality of an X-ray computed tomography (CT) system and are determined by the X-ray source, the detector, and mathematical operations for image reconstruction. In CT scanners with flat panel detectors (FPDs), there is cross-talk (signal leakage) between detector pixels. The contribution of the cross-talk to spatial resolution and noise in reconstructed images has not been adequately modeled. Previously, we estimated cross-talk from autocovariance measurements in air, and modeled the impact of cross-talk on spatial resolution. We have extended that work to calculate the impact of cross-talk on signal-to-noise ratio in radiographs and to reconstructed image noise. We modeled the spatial resolution and noise of a CT scanner that uses a flat-panel detector with 0.2-mm pixels and a gadolinium oxysulfide scintillator, and a 450 kVp, dual-focus X-ray tube. Our noise model agrees with measurements from experimental data and simulations to within 10%. We show that cross-talk in FPDs can reduce resolution by over 30%, reduce noise by approximately a factor of two, and introduce correlation in the noise, and therefore, cannot be disregarded when assessing CT image quality.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10317879","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cardiac Signature Detection and Study Using Contactless Technology: Millimeter-Wave FMCW Radar 心脏特征检测与非接触技术研究:毫米波FMCW雷达

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-10-26 DOI: 10.1109/OJIM.2023.3327483

Mélanie Brulc;Thibaut Deleruyelle;Alain Loussert;Pierre Laurent;Rémi Grisot;Jean-Paul Caruana

{"title":"Cardiac Signature Detection and Study Using Contactless Technology: Millimeter-Wave FMCW Radar","authors":"Mélanie Brulc;Thibaut Deleruyelle;Alain Loussert;Pierre Laurent;Rémi Grisot;Jean-Paul Caruana","doi":"10.1109/OJIM.2023.3327483","DOIUrl":"10.1109/OJIM.2023.3327483","url":null,"abstract":"The work presented in this article aims to detect the cardiac movement of a person in a noninvasive way and correlate it with a reference signal in the medical field: the electrocardiogram. To achieve this goal, a measurement campaign was carried out on 20 consenting individuals. On the one hand, the mechanical signal, the movement of the subject’s chest induced by the heartbeat, is recorded via an FMCW radar, and on the other hand, the electrical signal of the heart is recorded via an ECG acquisition board. Signal processing functions and different filtering will allow the correlation of the radar and ECG signals. This study is conducted on apnea recordings in order to remove the impact of breathing on the movement of the chest. When the subject holds his or her breath, the two important phases of cardiac movement via radar capture can be detected: 1) the systole and 2) the diastole. The delay between the mechanical signal of the heart and the electrical signal of the heart, already explained by medicine, is well noted. The accuracy of motion detection provided by the radar allowed us to highlight the reproducibility of the chest movements detected during a capture. Their correlation with ECG data validates the proposed hypotheses.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10297997","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135211744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Phased Array Ultrasound to Localize Probes During the Inspection of Welds 利用相控阵超声在焊缝检测中定位探头

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-10-25 DOI: 10.1109/OJIM.2023.3327484

Adam Gilmour;Alexander Ulrichsen;William Jackson;Morteza Tabatabaeipour;Gordon Dobie;Charles N. Macleod;Paul Murray;Benjamin Karkera

{"title":"Using Phased Array Ultrasound to Localize Probes During the Inspection of Welds","authors":"Adam Gilmour;Alexander Ulrichsen;William Jackson;Morteza Tabatabaeipour;Gordon Dobie;Charles N. Macleod;Paul Murray;Benjamin Karkera","doi":"10.1109/OJIM.2023.3327484","DOIUrl":"10.1109/OJIM.2023.3327484","url":null,"abstract":"In this article, an image processing-based localization system is developed for remote nondestructive evaluation of welds within industrial assets. Manual ultrasonic inspection of large-scale structures is often repetitive, time-consuming, and benefits greatly from robotic support, however, these robotic systems are often fixed to a single purpose, lack self-awareness of their surrounding environment, and can be limited to simple geometry. For the inspection of welds, which are often carried out using phased array ultrasonic testing, there is a reliance on the use of surface features for automated tracking such as the laser profiling of a weld cap. For the inspection of more complex geometry such as nonlinear or saddle welds, a more positionally sensitive method is required. The proposed system utilizes information already available to a nondestructive inspector in the form of live phased array ultrasonic images to estimate the location of the weld using nonsurface, volumetric data. Data is captured using a 64-element, 10-MHz phased array probe mounted to the end effector of a small robotic manipulator which increases the scope of applications due to its heightened flexibility when compared to on-the-market alternatives. Morphological operations are applied to the ultrasonic data to reduce the noise apparent from regions of parent material and promote the data reflected from grain boundaries within the weld material. Through a series of image processing techniques, it is possible to predict the position of a weld under inspection with an absolute mean positional error of \u0000<inline-formula> <tex-math>$mathrm {0.8 text {m} text { m} }$ </tex-math></inline-formula>\u0000. From this study, the localization system is to be embedded within a remote system for extensive data acquisition of welds on large structures.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10296089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134979743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Cell and Wide-Frequency In-Situ Battery Impedance Spectroscopy 多电池和宽频原位电池阻抗谱

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-10-06 DOI: 10.1109/OJIM.2023.3322492

Arne Sandschulte;Roberto Ferrero

{"title":"Multi-Cell and Wide-Frequency In-Situ Battery Impedance Spectroscopy","authors":"Arne Sandschulte;Roberto Ferrero","doi":"10.1109/OJIM.2023.3322492","DOIUrl":"10.1109/OJIM.2023.3322492","url":null,"abstract":"The use of dc–dc converters for in-situ electrochemical impedance spectroscopy has been investigated by several works in recent years, with different implementation strategies and promising results. There are, however, two important limitations that still hinder a commercial application of this technique: first, the need to deal with the battery discharge during the measurement, particularly critical at very low frequencies; second, the difficulty of accurately measuring the small ac voltage response of several cells in a pack, with common-mode dc voltages that can be five (or more) orders of magnitude higher. This article addresses both challenges, from an instrumentation and measurement perspective, presenting a solution for impedance measurements down to 10 mHz, on a system composed of 16 lithium-iron-phosphate cells or modules connected in series. A dc–dc boost converter is used to inject a multisine current perturbation on all batteries, with closed-loop control, and all cell voltages are conditioned to optimize the measurement resolution and accuracy of their ac components. Suitable signal processing compensates for the voltage drift caused by the battery discharge, and evaluates the residual distortion in the signal, to assess the validity of the impedance estimate. Experimental tests confirm that the obtained results are sufficiently precise (or repeatable) to allow detecting impedance variations occurring during the battery discharge or after repeated charge/discharge cycles.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10273720","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136008283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0