Pub Date : 2018-07-12DOI: 10.1109/I2MTC.2018.8409744
Lei Chen, Wei Zhao, Yiqing Yu, Qing Wang, Songling Huang
The interpolated dynamic DFT (IpD2FT) is one of the most accurate dynamic synchrophasor estimation methods. But it suffers from infiltration from the second harmonic component. In this paper, the estimation errors of the IpD2FT caused by second harmonic interferences are firstly analyzed. Based on this, an improved interpolated dynamic DFT (IIpD2 FT) synchrophasor estimator that considers second harmonic interferences are proposed. Multiple simulation tests show that, even under large second harmonic interference conditions, the IIpD2FT is much more accurate than the IpD2FT.
{"title":"Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences","authors":"Lei Chen, Wei Zhao, Yiqing Yu, Qing Wang, Songling Huang","doi":"10.1109/I2MTC.2018.8409744","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409744","url":null,"abstract":"The interpolated dynamic DFT (IpD2FT) is one of the most accurate dynamic synchrophasor estimation methods. But it suffers from infiltration from the second harmonic component. In this paper, the estimation errors of the IpD2FT caused by second harmonic interferences are firstly analyzed. Based on this, an improved interpolated dynamic DFT (IIpD2 FT) synchrophasor estimator that considers second harmonic interferences are proposed. Multiple simulation tests show that, even under large second harmonic interference conditions, the IIpD2FT is much more accurate than the IpD2FT.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121326650","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 : 2018-07-12DOI: 10.1109/I2MTC.2018.8409828
Quansheng Duan, Junxiang Peng, Lijuan Wang, Yong Yan
Carbon capture and storage (CCS) is a promising technology to reduce CO2 emissions from industrial processes. However, void fraction measurement is one of the challenging issues to be solved for gas-liquid two-phase CO2 flow measurement. This paper presents a novel measurement system using laser intensity attenuation techniques to measure the void fraction of two-phase CO2 flow. The measurement system includes optical sensors, a laser detector array and a monolithic processor. The performance of the proposed measurement system is verified through experimental tests under various conditions, including stratified flow and bubbly flow. The void fraction of two-phase CO2 flow ranges from 0 to 69%. Experimental results demonstrate that the system is capable of measuring the void fraction of CO2 flow with an error between −2% and 3.6%.
{"title":"Measurement of the void fraction of gas-liquid two-phase CO2 flow using laser attenuation techniques","authors":"Quansheng Duan, Junxiang Peng, Lijuan Wang, Yong Yan","doi":"10.1109/I2MTC.2018.8409828","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409828","url":null,"abstract":"Carbon capture and storage (CCS) is a promising technology to reduce CO2 emissions from industrial processes. However, void fraction measurement is one of the challenging issues to be solved for gas-liquid two-phase CO2 flow measurement. This paper presents a novel measurement system using laser intensity attenuation techniques to measure the void fraction of two-phase CO2 flow. The measurement system includes optical sensors, a laser detector array and a monolithic processor. The performance of the proposed measurement system is verified through experimental tests under various conditions, including stratified flow and bubbly flow. The void fraction of two-phase CO2 flow ranges from 0 to 69%. Experimental results demonstrate that the system is capable of measuring the void fraction of CO2 flow with an error between −2% and 3.6%.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274396","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}
Electromagnetic acoustic transducers (EMATs) have the advantage of non-contact and have been widely used in nondestructive testing (NDT). However, the propagation of the guided wave generated by present transducers is either concentrated with narrow beam directivity or omni-directional with disperse energy. To overcome these disadvantages, a new EMAT is proposed to generate multi-helical shear horizontal (MHSH) guided waves. The waves can propagate in multiple helical angles within a certain range while the energy is still concentrated. In this paper, the excitation and reception process of the guided wave are modeled based on the magnetostrictive effect, and then Finite Element Method (FEM) is applied to confirm the models and to further study the wave radiation pattern. Series of experiment are carried out to evaluate the performance of the proposed EMAT. Finally, the influences of two key design parameters on the beam divergence angle are discussed.
{"title":"Development of a new EMAT for multi-helical SH guided waves based on magnetostrictive effect","authors":"Zhe Wang, Songling Huang, Shen Wang, Qing Wang, Wei Zhao","doi":"10.1109/I2MTC.2018.8409576","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409576","url":null,"abstract":"Electromagnetic acoustic transducers (EMATs) have the advantage of non-contact and have been widely used in nondestructive testing (NDT). However, the propagation of the guided wave generated by present transducers is either concentrated with narrow beam directivity or omni-directional with disperse energy. To overcome these disadvantages, a new EMAT is proposed to generate multi-helical shear horizontal (MHSH) guided waves. The waves can propagate in multiple helical angles within a certain range while the energy is still concentrated. In this paper, the excitation and reception process of the guided wave are modeled based on the magnetostrictive effect, and then Finite Element Method (FEM) is applied to confirm the models and to further study the wave radiation pattern. Series of experiment are carried out to evaluate the performance of the proposed EMAT. Finally, the influences of two key design parameters on the beam divergence angle are discussed.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130256221","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 : 2018-07-12DOI: 10.1109/I2MTC.2018.8409681
Jinyu Liu, Tao Wang, Yong Yan, Xue Wang, Lijuan Wang
Gas-liquid two-phase flow is commonly encountered in many industrial processes due to production requirement or inevitable gas entrainment from various sources. Accurate liquid phase measurement under two-phase conditions is challenging but important as it is the key factor to reduce cost, improve safety or meet legal requirements. Coriolis flowmeters, owing to their high accuracy in metering single-phase flow, direct mass flow measurement and multivariable sensing nature, are widely used in industry. Recently developed Coriolis flowmeters can work under multiphase conditions, making it possible to achieve accurate multiphase flow measurement through model based error compensation or training based soft computing correction. This paper assesses the behaviours of Coriolis flowmeters under various two-phase conditions for modelling and soft computing algorithm improvement, including previously investigated factors (flowrate, gas volume fraction, flow tube geometry, flow converter, and process pressure) and new factors (flow regimes in terms of bubble size and distribution). Experimental work was conducted on 25 mm and 50 mm bore air-water two-phase flow rigs for liquid mass flowrates between 2500 kg/h and 35000 kg/h with gas volume fraction of 0–60%. With the influence of each factor identified through univariate analysis, comparisons between existing modelling theories and experimental error curves are established. In the meantime, the rig design and control are optimized to provide efficient and automated data acquisition in order to supply ample and high-quality data for the training of soft computing models as well as enhancing the understanding in theoretical modelling.
{"title":"Investigations into the behaviours of Coriolis flowmeters under air-water two-phase flow conditions on an optimized experimental platform","authors":"Jinyu Liu, Tao Wang, Yong Yan, Xue Wang, Lijuan Wang","doi":"10.1109/I2MTC.2018.8409681","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409681","url":null,"abstract":"Gas-liquid two-phase flow is commonly encountered in many industrial processes due to production requirement or inevitable gas entrainment from various sources. Accurate liquid phase measurement under two-phase conditions is challenging but important as it is the key factor to reduce cost, improve safety or meet legal requirements. Coriolis flowmeters, owing to their high accuracy in metering single-phase flow, direct mass flow measurement and multivariable sensing nature, are widely used in industry. Recently developed Coriolis flowmeters can work under multiphase conditions, making it possible to achieve accurate multiphase flow measurement through model based error compensation or training based soft computing correction. This paper assesses the behaviours of Coriolis flowmeters under various two-phase conditions for modelling and soft computing algorithm improvement, including previously investigated factors (flowrate, gas volume fraction, flow tube geometry, flow converter, and process pressure) and new factors (flow regimes in terms of bubble size and distribution). Experimental work was conducted on 25 mm and 50 mm bore air-water two-phase flow rigs for liquid mass flowrates between 2500 kg/h and 35000 kg/h with gas volume fraction of 0–60%. With the influence of each factor identified through univariate analysis, comparisons between existing modelling theories and experimental error curves are established. In the meantime, the rig design and control are optimized to provide efficient and automated data acquisition in order to supply ample and high-quality data for the training of soft computing models as well as enhancing the understanding in theoretical modelling.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"85 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133824209","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 : 2018-07-12DOI: 10.1109/I2MTC.2018.8409566
Y. Quek, W. L. Woo, T. Logenthiran
In the recent years, there is a growing need for remote monitoring of electrical systems to assist users in making informed decision in managing their electrical systems. On top of the energy consumption and power usage, it is very useful to provide users fault detections, anomaly warnings and classification of load for predictive maintenance. This paper describes a low-cost solution that consists of multiple distributed slave meters with a single master computer. The distributed slave meter acquires the current waveform from the investigated cable of interest with non-intrusive current transducer. The low-cost hardware and small computer conditioned the data and extract a 2-feature data that will be send to the master computer remotely over Wi-Fi network. The master computer identifies each slave meters by their IP addresses and will perform logging, high level processing for classification, fault detection and anomaly warning. This solution can be implemented as a distributed monitoring network over a number of circuits in a building or vicinity, with the option of expanding into an Internet of Things (IoT) implementation. It can also be used as an ad hoc standalone investigation of a suspicious branch circuit for faults or anomalies. This solution has been tested with lighting, thermal and motor loads in an electrical circuit.
{"title":"A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning","authors":"Y. Quek, W. L. Woo, T. Logenthiran","doi":"10.1109/I2MTC.2018.8409566","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409566","url":null,"abstract":"In the recent years, there is a growing need for remote monitoring of electrical systems to assist users in making informed decision in managing their electrical systems. On top of the energy consumption and power usage, it is very useful to provide users fault detections, anomaly warnings and classification of load for predictive maintenance. This paper describes a low-cost solution that consists of multiple distributed slave meters with a single master computer. The distributed slave meter acquires the current waveform from the investigated cable of interest with non-intrusive current transducer. The low-cost hardware and small computer conditioned the data and extract a 2-feature data that will be send to the master computer remotely over Wi-Fi network. The master computer identifies each slave meters by their IP addresses and will perform logging, high level processing for classification, fault detection and anomaly warning. This solution can be implemented as a distributed monitoring network over a number of circuits in a building or vicinity, with the option of expanding into an Internet of Things (IoT) implementation. It can also be used as an ad hoc standalone investigation of a suspicious branch circuit for faults or anomalies. This solution has been tested with lighting, thermal and motor loads in an electrical circuit.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133236184","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 : 2018-07-10DOI: 10.1109/I2MTC.2018.8409531
M. Harker, P. O’Leary, L. Plessing, P. Hergan, E. Fauster
This paper addresses the issue of methods for the approximation of crosshatch measured data by a tensor polynomial model. Such measurements are found in modern manufacturing processes such as RTM for hybrid composite materials. A new algebraic approach to the approximation yields a Sylvester equation which must be solved to obtain the coefficients for the tensor. All derivations for the method are provided. The solution has a computational complexity of O (n3), as opposed to O(n6) for past solutions of the same problem. The method has been applied to measurement data from a dedicated device used to measure prototype samples in a production process. The fit surface models are then contoured and analysed using Elliptical Fourier Descriptors to yield qualitative evaluation of deformation.
{"title":"Real-time tensor polynomial approximation of crosshatch measured geometric surface data","authors":"M. Harker, P. O’Leary, L. Plessing, P. Hergan, E. Fauster","doi":"10.1109/I2MTC.2018.8409531","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409531","url":null,"abstract":"This paper addresses the issue of methods for the approximation of crosshatch measured data by a tensor polynomial model. Such measurements are found in modern manufacturing processes such as RTM for hybrid composite materials. A new algebraic approach to the approximation yields a Sylvester equation which must be solved to obtain the coefficients for the tensor. All derivations for the method are provided. The solution has a computational complexity of O (n3), as opposed to O(n6) for past solutions of the same problem. The method has been applied to measurement data from a dedicated device used to measure prototype samples in a production process. The fit surface models are then contoured and analysed using Elliptical Fourier Descriptors to yield qualitative evaluation of deformation.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125166617","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 : 2018-07-10DOI: 10.1109/I2MTC.2018.8409820
Chen-Liang Fan, C. Weng, Yu-Hsin Lin, P. Cheng
In this study, we developed a 3D surface profiling technique based on a varifocal lens and focus-stacking method that uses a high-pass filter in conjunction with a focus algorithm. The varifocal lens was used in conjunction with a CCD camera to capture images of samples from various distances. The focus stacking method was then used to construct a surface profile and the image with large depth-of-filed.
{"title":"Surface profiling measurement using varifocal lens based on focus stacking","authors":"Chen-Liang Fan, C. Weng, Yu-Hsin Lin, P. Cheng","doi":"10.1109/I2MTC.2018.8409820","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409820","url":null,"abstract":"In this study, we developed a 3D surface profiling technique based on a varifocal lens and focus-stacking method that uses a high-pass filter in conjunction with a focus algorithm. The varifocal lens was used in conjunction with a CCD camera to capture images of samples from various distances. The focus stacking method was then used to construct a surface profile and the image with large depth-of-filed.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114737455","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 : 2018-07-10DOI: 10.1109/I2MTC.2018.8409624
G. Gruber, B. Schweighofer, G. Brasseur, Riccardo Basso
Reduction of unburned hydrocarbon emissions and fuel economy improvements in two stroke engines, used on small portable tools for gardening or agriculture, rely on good insights into the combustion process and the engine operating parameters. Meaningful information about the engine operating parameters can be retrieved from ion current measurements. This article demonstrates an approach for monitoring the combustion process in two stroke engines by measuring the ion concentration during internal combustion. Especially the estimation of the air-fuel ratio (AFR) and the detection of misfire are made possible by this measurement concept. Due to lack of sensor placement space in these small engines the use of the conventional spark plug is advantageous. The results obtained by the ion measurement concept show that the optimization of the combustion process can be developed through simple means.
{"title":"Ion current measurement for parameter estimation in small two stroke engines","authors":"G. Gruber, B. Schweighofer, G. Brasseur, Riccardo Basso","doi":"10.1109/I2MTC.2018.8409624","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409624","url":null,"abstract":"Reduction of unburned hydrocarbon emissions and fuel economy improvements in two stroke engines, used on small portable tools for gardening or agriculture, rely on good insights into the combustion process and the engine operating parameters. Meaningful information about the engine operating parameters can be retrieved from ion current measurements. This article demonstrates an approach for monitoring the combustion process in two stroke engines by measuring the ion concentration during internal combustion. Especially the estimation of the air-fuel ratio (AFR) and the detection of misfire are made possible by this measurement concept. Due to lack of sensor placement space in these small engines the use of the conventional spark plug is advantageous. The results obtained by the ion measurement concept show that the optimization of the combustion process can be developed through simple means.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115999585","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}
Fiber Bragg grating has been widely used in structural health monitoring due to the following merits: robust to electromagnet interference, multipoint distributed measurements, easy to embed in limited space, and less wire compared with electric strain sensors. In this paper, optic fiber sensors — fiber Bragg gratings (FBGs), were studied for incipient gear pitting fault detection. Different levels of tooth surface wear were simulated and tested in the experimental test rig. The FBG sensors are bonded to the outside of the gearbox directly. It is shown that FBG can effectively reflect the gear meshing frequencies as well as the fault signatures. The diagnostic results indicate that FBG signals can effectively detect wear fault under heavy load conditions. However, the performance of FBGs can be limited by the relatively weak strain signals when the structure stiffness of the gearbox is high. Compared with vibration sensors, FBGs are less sensitive to faults under light load conditions. Vibration signals, on the other hand, are less sensitive to incipient wear fault under heavy load conditions. Therefore, under heavy load conditions, FBG strain sensors can be more suitable for incipient fault detection.
{"title":"On research of incipient gear pitting fault detection using optic fiber sensors","authors":"Yongzhi Qu, Haoliang Zhang, Liu Hong, Chongfeng Zhao, Yuegang Tan, Zude Zhou","doi":"10.1109/I2MTC.2018.8409559","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409559","url":null,"abstract":"Fiber Bragg grating has been widely used in structural health monitoring due to the following merits: robust to electromagnet interference, multipoint distributed measurements, easy to embed in limited space, and less wire compared with electric strain sensors. In this paper, optic fiber sensors — fiber Bragg gratings (FBGs), were studied for incipient gear pitting fault detection. Different levels of tooth surface wear were simulated and tested in the experimental test rig. The FBG sensors are bonded to the outside of the gearbox directly. It is shown that FBG can effectively reflect the gear meshing frequencies as well as the fault signatures. The diagnostic results indicate that FBG signals can effectively detect wear fault under heavy load conditions. However, the performance of FBGs can be limited by the relatively weak strain signals when the structure stiffness of the gearbox is high. Compared with vibration sensors, FBGs are less sensitive to faults under light load conditions. Vibration signals, on the other hand, are less sensitive to incipient wear fault under heavy load conditions. Therefore, under heavy load conditions, FBG strain sensors can be more suitable for incipient fault detection.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805170","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 : 2018-07-10DOI: 10.1109/I2MTC.2018.8409880
Shenjie Bao, Shubao Yin, Hongyu Chen, Wei Chen
A novel wearable multimode system for lower limb activity evaluation and rehabilitation comprised of a multifunctional band, plantar pressure distribution sensor and a local mobile terminal connected to a cloud platform is presented. This proposed system can acquire the necessary data for lower limb activity evaluation based on clinical practice. By using proposed system, the therapists can distribute the specific training plans based on the evaluation results through the system for the patients to rehabilitate more efficiently. Inertial Measurement Units (IMU) and physiological signal front ends with carbonized foam electrode are embedded in the proposed system to obtain motion signals and electromyogram (EMG) signal. Furthermore, a novel plantar pressure distribution sensor using flexible pressure sensors, flexible conductive lines and fabric materials is proposed to get the plantar pressure distribution. The carbonized foam electrode and proposed plantar pressure distribution sensor enable a more convenient evaluation and rehabilitation process. Patients can switch between two different wearing modes with EMG signal on and off. The user interfaces of training mode and evaluation mode are also presented together with the evaluation methods based on the clinical practice. Experiments were carried out to investigate the system performance, which demonstrated the feasibility of the proposed system. The proposed system shows a potential in home-based scenarios and clinical practice.
{"title":"A wearable multimode system with soft sensors for lower limb activity evaluation and rehabilitation","authors":"Shenjie Bao, Shubao Yin, Hongyu Chen, Wei Chen","doi":"10.1109/I2MTC.2018.8409880","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409880","url":null,"abstract":"A novel wearable multimode system for lower limb activity evaluation and rehabilitation comprised of a multifunctional band, plantar pressure distribution sensor and a local mobile terminal connected to a cloud platform is presented. This proposed system can acquire the necessary data for lower limb activity evaluation based on clinical practice. By using proposed system, the therapists can distribute the specific training plans based on the evaluation results through the system for the patients to rehabilitate more efficiently. Inertial Measurement Units (IMU) and physiological signal front ends with carbonized foam electrode are embedded in the proposed system to obtain motion signals and electromyogram (EMG) signal. Furthermore, a novel plantar pressure distribution sensor using flexible pressure sensors, flexible conductive lines and fabric materials is proposed to get the plantar pressure distribution. The carbonized foam electrode and proposed plantar pressure distribution sensor enable a more convenient evaluation and rehabilitation process. Patients can switch between two different wearing modes with EMG signal on and off. The user interfaces of training mode and evaluation mode are also presented together with the evaluation methods based on the clinical practice. Experiments were carried out to investigate the system performance, which demonstrated the feasibility of the proposed system. The proposed system shows a potential in home-based scenarios and clinical practice.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134174643","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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