IEEE Sensors Journal最新文献_第7页

Toward Precision Health: A Bluetooth-Enabled, Miniaturized Glucose Monitoring Wearable

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-26 DOI: 10.1109/JSEN.2025.3543565

Mohammad Mansour;Samar H. Tawakey;Alyaa I. Salim;Sayed T. Muhammad;Ahmed Soltan

{"title":"Toward Precision Health: A Bluetooth-Enabled, Miniaturized Glucose Monitoring Wearable","authors":"Mohammad Mansour;Samar H. Tawakey;Alyaa I. Salim;Sayed T. Muhammad;Ahmed Soltan","doi":"10.1109/JSEN.2025.3543565","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543565","url":null,"abstract":"In this work, a miniaturized, Bluetooth-enabled glucose monitoring wearable patch is proposed. The device integrates improved potentiostatic systems and microneedle technology to enable minimally invasive and real-time monitoring of glucose levels. For the microneedle autocalibration, an automatic glucose oxidation peak detector algorithm is implemented within the microcontroller for more stability in glucose measurements. The calibration process also reduces the operation time during chronoamperometric measurements. The device’s functionality is extended beyond continuously monitoring glucose in the interstitial fluid (ISF) by integrating off-the-shelf sensors for heart rate and body temperature monitoring. The integration of these sensors and the wireless communication protocol is managed to ensure the seamless operation, minimal power consumption, and user comfort. The device operates using a dedicated cross-platform application to collect and display data. The sensitivity of the glucose sensor is <inline-formula> <tex-math>${30}.{44}~text {nA}/text {mM}$ </tex-math></inline-formula>, covering a dynamic range of <inline-formula> <tex-math>${1}.{5}{-}{14}~text {mM}$ </tex-math></inline-formula>. Through a detailed examination of power management strategies and sensor data integrity, this study demonstrates the feasibility of such integrated health monitoring devices for everyday use. With ultralow power consumption of <inline-formula> <tex-math>${103}~mu text {W}$ </tex-math></inline-formula>, the device has an extended battery life of text {204} days by using a smart energy management technique. Moreover, the microneedle sensor offers a long lifespan of text {15} days before needing replacement. The device has potential utility in the personalized healthcare and clinical settings.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11971-11981"},"PeriodicalIF":4.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Cascaded Extended Kalman Filter for Error Compensation in Magnetic Angle Sensors

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-26 DOI: 10.1109/JSEN.2025.3542841

Xiangrong Xu;Ruigang Wang;Zhe Sheng;Ru Bai;Zhenghong Qian

{"title":"A Novel Cascaded Extended Kalman Filter for Error Compensation in Magnetic Angle Sensors","authors":"Xiangrong Xu;Ruigang Wang;Zhe Sheng;Ru Bai;Zhenghong Qian","doi":"10.1109/JSEN.2025.3542841","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542841","url":null,"abstract":"Conventional magnetic angle sensors mostly use a bipolar magnet structure, which shows a relative low resolution and accuracy due to nonuniform magnetization, mechanical errors, and electrical errors. To address these issues, a novel magnetic angle sensor is designed by adopting structure with a central bipolar magnet (BPM) and an annular multipolar magnet (MPM). The central bipolar magnet is responsible for coarse positioning, while the annular multipolar magnet is used for fine angular measurement. To enhance the accuracy of the novel magnetic angle sensor, a cascaded extended Kalman filter (CEKF) is proposed to process and fuse the measurement data from both the central bipolar magnet and the annular multipolar magnet. This algorithm effectively fuses the magnetic field data from both types of magnets, thereby addressing the angle jump issue that can occur when the multipolar magnet transitions across adjacent poles and improving the overall measurement accuracy. Under various working conditions such as constant speed, constant acceleration, and static, the angle measurement error can be stably maintained within 0.1°, indicating that the proposed method has high robustness and accuracy.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"10905-10912"},"PeriodicalIF":4.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A High-Fidelity Symbolization Method for Reciprocating Pump Vibration Monitoring Data

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-26 DOI: 10.1109/JSEN.2025.3541740

Yuhua Yin;Zhiliang Liu;Yong Qin

{"title":"A High-Fidelity Symbolization Method for Reciprocating Pump Vibration Monitoring Data","authors":"Yuhua Yin;Zhiliang Liu;Yong Qin","doi":"10.1109/JSEN.2025.3541740","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3541740","url":null,"abstract":"The condition monitoring of reciprocating pumps is challenged by severe operating conditions and massive data. Symbolization has emerged as a promising solution by reducing data volume, enhancing noise resilience, and preserving key diagnostic features. However, the symbolization process inherently compromises the preservation of time-frequency characteristics inherent in the original data. This article introduces a high-fidelity symbolization method that ensures effective symbolization while maintaining high-accuracy recovery. First, a robust entropy-optimized statistical method categorizes the data into positive impulses, nonimpulses, and negative impulses, reflecting the reciprocating dynamics of pumps. Next, refined symbolization is achieved through fuzzy clustering-based modeling, transforming the data into final symbolic sequences. Finally, a Lagrangian optimization function minimizes reconstruction errors, enabling iterative recovery through gradient descent. The effectiveness and superiority of the proposed method were validated through simulation and real data. Compared to the existing approaches, the proposed method achieves a substantial reduction in recovery deviation, exceeding 94.44%, in both time and frequency domains. Additionally, the time-frequency correlation coefficients improve by over 0.25 times, reaching values greater than 0.98, demonstrating its high fidelity in preserving the amplitude and distribution characteristics of the original signals. Moreover, the method’s performance is significantly influenced by the number of symbols, with diminishing marginal utility as symbols increase.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11613-11621"},"PeriodicalIF":4.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Shaft Instantaneous Rotational Speed Vision Sensing Method Using Projection Fringe

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3542416

Dongming Liu;Jianfeng Zhong;Yuexin Huang;Haoyang Guo;Bin Feng;Zengren Tu;Shuncong Zhong;Jianhua Zhong

{"title":"Shaft Instantaneous Rotational Speed Vision Sensing Method Using Projection Fringe","authors":"Dongming Liu;Jianfeng Zhong;Yuexin Huang;Haoyang Guo;Bin Feng;Zengren Tu;Shuncong Zhong;Jianhua Zhong","doi":"10.1109/JSEN.2025.3542416","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542416","url":null,"abstract":"The measurement of instantaneous rotational speed (IRS) for rotating machinery is essential for ensuring operational stability, enabling predictive maintenance, and guaranteeing the safe operation of rotating equipment. Encoders, as a common measurement method, face challenges such as inconvenient installation and load effects on the shaft. To tackle these issues, a novel vision-based measurement method for the IRS of the shaft using projection fringe was proposed. The proposed method only requires processing a single row of data, thus offering advantages in measurement efficiency and data volume. A pattern with a sine white edge was first preset to the circumferential surface of the shaft. Then, a constant density fringe from the projection lamp was projected onto the white pattern, in which the fringe center will be sine-modulated by the white pattern during the rotation of the shaft. Cross correlation was utilized to track the coordinate variation of the fringe center, thereby obtaining its variation curve. An improved short-time Fourier transform with adaptive window length was proposed to accurately estimate rotational frequency from the fringe center variation curve (CVC), enabling the determination of shaft IRS. In this study, a system simulation model was established to analyze the various factors influencing its performance. Then, the effectiveness of the proposed system and algorithm was verified through experiments, proving that its measurement accuracy was comparable to that of encoders. Constant speed measurement of 300 r/min showed that the average speed error was 0.99 r/min with a relative error of 0.33%. Linear-varied speed measurement revealed that the average speed error was 3.01 r/min with a relative error of 0.48%. Sine-varied speed measurements indicated that the average speed error was 5.80 r/min with a relative error of 0.89%. Consequently, the proposed system offers a promising and reliable avenue for IRS measurement of rotating equipment.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"10800-10810"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factor Graph Optimization Localization Method Based on GNSS Performance Evaluation and Prediction in Complex Urban Environment

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3542058

Xiaowei Xu;Xiaolin Yang;Pin Lyu;Lijuan Li

{"title":"Factor Graph Optimization Localization Method Based on GNSS Performance Evaluation and Prediction in Complex Urban Environment","authors":"Xiaowei Xu;Xiaolin Yang;Pin Lyu;Lijuan Li","doi":"10.1109/JSEN.2025.3542058","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542058","url":null,"abstract":"This article proposes an online global navigation satellite system (GNSS) positioning performance evaluation and position prediction method to handle the degradation of positioning accuracy due to the complex urban denial environment. A dynamic trust (DT) function is constructed by combining multiparameter metrics to dynamically filter inavailable information and optimize information utilization. An improved indirect position prediction model based on bi-directional long short-term memory (BiLSTM) and strapdown inertial navigation system toward the heading error divergence model (SINS-HEDM) is constructed to enhance the accuracy of the navigation system. In order to reduce the interference of human driving behavior on the direction information in the position, the position is decomposed into distance and direction. BiLSTM is employed to predict vehicle movement distances between adjacent moments, and SINS-HEDM is designed to compensate for heading errors in SINS. A robust factor graph optimized (FGO) fusion method is presented for achieving reliable vehicle positioning in urban GNSS-denied environments. A comparative experiment is adopted to demonstrate the superiority of the proposed method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12455-12465"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a Capacitive-Piezoelectric Tactile Force Sensor for Static and Dynamic Forces Measurement and Neural Network-Based Texture Discrimination

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3542498

Maira Ehsan Mughal;Muhammad Rehan;Muhammad Mubasher Saleem;Masood Ur Rehman;Hamid Jabbar;Rebecca Cheung

{"title":"Development of a Capacitive-Piezoelectric Tactile Force Sensor for Static and Dynamic Forces Measurement and Neural Network-Based Texture Discrimination","authors":"Maira Ehsan Mughal;Muhammad Rehan;Muhammad Mubasher Saleem;Masood Ur Rehman;Hamid Jabbar;Rebecca Cheung","doi":"10.1109/JSEN.2025.3542498","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542498","url":null,"abstract":"Taking inspiration from human tactile system, a sensitive biomimetic multimodal tactile sensor for discrimination of static and dynamic forces is presented in this article. The multimodal tactile sensor has a piezoelectric-capacitive tandem for responding to the dynamic and static forces, respectively. Sensor can cater to normal direction dynamic force signals with a piezoelectric part operating in the <inline-formula> <tex-math>${d}_{{33}}$ </tex-math></inline-formula> mode and static force with a capacitive part. The capacitive sensing part has a unique configuration with a top electrode and two sets of differential pairs electrodes for the force measurement in x and y shear axis and one electrode for normal force measurement. The experimental characterization of the sensor was performed for static, quasi-static, and dynamic forces. Along with the static forces, the sensor was also able to cater to dynamic forces up to 60 Hz. The force sensitivity of the sensor for the normal force is 0.084 pF/N and 0.035 V/N from the capacitive and piezoelectric part, respectively, for a force range of 10 N. Also, in the shear X- and Y-directions, the sensor exhibited a sensitivity of 0.027 and 0.029 pF/N, respectively, in the force range of 1.2 N. Through the vibrotactile data, the sensor showed an ability to discriminate between two texture samples through a neural network classifier. The presented sensor owing to its dimension, performance, and capabilities can find its application in minimally invasive robotic surgery, robotics, wearable devices, and prosthetics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11944-11954"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Wireless Temperature Sensing With High Resolutions Based on LC Fano Resonance

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3543499

Lei Dong;Xi-Fan Gao;Li-Feng Wang;Qing-An Huang

{"title":"Robust Wireless Temperature Sensing With High Resolutions Based on LC Fano Resonance","authors":"Lei Dong;Xi-Fan Gao;Li-Feng Wang;Qing-An Huang","doi":"10.1109/JSEN.2025.3543499","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543499","url":null,"abstract":"LC passive wireless sensors are excelling in wearable devices with the advantages of wireless sensing and compatibility with multiple fabrication processes. Classical LC sensing systems face the challenges of misdiagnosing at different interrogation distances since the frequency detection of the Lorentzian resonance is affected by mutual coupling. Here, we propose the asymmetric LC Fano resonance to improve robust wireless interrogation by detecting the peak and valley frequencies simultaneously, making the frequency calibration insensitive to the coupling coefficient. To form the asymmetric Fano resonance in an LC wireless sensing system, we introduce a negative impedance compensation (NIC) to the classical LC temperature sensor embedded in a wearable bandage. A sharp resonant peak is generated and able to be detected by coupling to a continuum resonance provided by an external readout. Moreover, high-temperature resolutions are observed by monitoring the peak and valley frequencies of Fano resonance. We test the wearable temperature sensing bandages from <inline-formula> <tex-math>$36~^{circ }$ </tex-math></inline-formula>C to <inline-formula> <tex-math>$42~^{circ }$ </tex-math></inline-formula>C to imitate the healing and inflammation process. Compared to the traditional LC sensors with Lorentz resonance, the Fano-resonant sensor features coupling-independent interrogation and possesses temperature resolutions as high as <inline-formula> <tex-math>$0.07~^{circ }$ </tex-math></inline-formula>C. The proposed Fano-resonant LC wireless sensing system provides a potential approach for robust wearable sensing systems with high resolutions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12278-12285"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discrete-Time Circuital Modeling of Hysteretic Piezo-Actuated MEMS Loudspeakers for In-Ear Applications

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3543719

Oliviero Massi;Riccardo Giampiccolo;Alberto Bernardini

{"title":"Discrete-Time Circuital Modeling of Hysteretic Piezo-Actuated MEMS Loudspeakers for In-Ear Applications","authors":"Oliviero Massi;Riccardo Giampiccolo;Alberto Bernardini","doi":"10.1109/JSEN.2025.3543719","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543719","url":null,"abstract":"Piezoelectrically actuated micro-electromechanical systems (MEMS) loudspeakers have experienced significant advancements in recent years, achieving acoustic performance for in-ear applications comparable with traditional electrodynamic microspeakers. Despite their advantages in compactness, power efficiency, and ease of integration, these devices are limited by nonlinear hysteretic effects inherent to piezoelectric transduction, which often lead to undesirable distortion. Accurate and computationally efficient models are crucial for enabling digital signal processing (DSP) precompensation algorithms to address this challenge. While well-established nonlinear lumped-element models of electrodynamic loudspeakers have supported DSP techniques for equalization and linearization, the lack of analogous models for MEMS loudspeakers has constrained their broader application. This article presents a nonlinear discrete-time circuital model for a piezo-actuated MEMS loudspeaker designed for in-ear applications. The proposed model integrates two key processing components: a neural network (NN)-based block that accurately captures the nonlinear hysteretic behavior of piezoelectric transduction, and a linear circuit-equivalent block that represents the loudspeaker’s vibration and acoustic environment. The discrete-time implementation of the model, including a wave digital filter (WDF) realization of the circuit-equivalent block, enables efficient and accurate simulation of nonlinear hysteretic dynamics under arbitrary input signals. Validation against experimental data—including time-domain pressure waveforms, frequency-domain sound pressure level (SPL), and total harmonic distortion (THD)—demonstrates the model’s accuracy and effectiveness across a wide range of operating conditions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11236-11245"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterization and Compensation of Phase Delay and Modulation Pattern Angle Error for Rate-Integrating Micro-Hemispherical Resonator Gyroscope

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-25 DOI: 10.1109/JSEN.2025.3543642

Weiyou Chen;Xiao Ge;Anlan Ding;Hongsheng Li

{"title":"Characterization and Compensation of Phase Delay and Modulation Pattern Angle Error for Rate-Integrating Micro-Hemispherical Resonator Gyroscope","authors":"Weiyou Chen;Xiao Ge;Anlan Ding;Hongsheng Li","doi":"10.1109/JSEN.2025.3543642","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543642","url":null,"abstract":"This article studies the effect of the control circuit phase delay and modulation pattern angle (MPA) error in micro-hemispherical resonator gyroscope (<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>HRG) under the rate-integrating (RI) mode. The causes of these errors are initially analyzed. Then, this article establishes a dynamical model of the RI <inline-formula> <tex-math>$mu $ </tex-math></inline-formula>HRG containing phase delay and MPA error for the first time through theoretical derivations, and the error propagation mechanism of these errors in the RI mode is clarified through theoretical analyses and simulations. By utilizing the relationships between the dc biases of the orthogonal control force and amplitude control force with the virtual Coriolis force in the RI mode, this article raises a novel phase delay and MPA error quantitative and simultaneous characterization method. The error characterization and compensation experiments are performed on an RI <inline-formula> <tex-math>$mu $ </tex-math></inline-formula>HRG using this method. The experiment results reveal that after compensation, the RI <inline-formula> <tex-math>$mu $ </tex-math></inline-formula>HRG angular velocity fluctuation error dropped from 1.812°/s to 0.389°/s, dropped by 78.53%; the angle-dependent bias (ADB) error dropped by 76.62% from 0.68° to 0.159°; and the bias instability (BI) dropped by 51.88% from 1.3026°/h to 0.6268°/h. The results confirm the validity of the propounded error characterization approach and the derived RI dynamical model. This research offers practical references and guidance for future RI mode error investigations.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"10820-10830"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-Stream Hybrid Network Based on Global and Local Spectral Fusion for Decoding EEG and sEMG Fusion Signals

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-24 DOI: 10.1109/JSEN.2025.3538100

Xianlun Tang;Jingxiang Li;Xiaoxuan Li;Haochuan Zhang;Xiaoyuan Dang;Badong Chen

{"title":"Dual-Stream Hybrid Network Based on Global and Local Spectral Fusion for Decoding EEG and sEMG Fusion Signals","authors":"Xianlun Tang;Jingxiang Li;Xiaoxuan Li;Haochuan Zhang;Xiaoyuan Dang;Badong Chen","doi":"10.1109/JSEN.2025.3538100","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538100","url":null,"abstract":"Electroencephalography (EEG) and surface electromyography (sEMG) play a crucial role in capturing the central motor nervous system’s activities, thereby serving as vital tools in the realms of rehabilitation and assistive control for individuals with neurological disorders. Nonetheless, the reliance on a singular signal modality for action classification is fraught with challenges, ranging from limited accuracy, diminished interference resilience to susceptibility to muscle fatigue. The hybrid brain-computer interface (hBCI) integrating EEG and sEMG signals, synergistically harness the strengths of both signals. Our innovative approach integrates the short-time Fourier transform-based global with local spectral feature fusion (STFT-GLSF) method to elucidate the interrelationship between EEG and sEMG signals. This method utilizes a dual-fusion strategy, effectively capturing both the pivotal and overarching features within the signals. Furthermore, we have developed an advanced dual-stream hybrid residual network, AC-DSHResNet, which simultaneously utilizes attention mechanisms with ConvLSTM. This model’s dual-branch architecture is specifically engineered to refine feature representation in motion decoding. Rigorous validation on both lab-collected and publicly available datasets substantiates the efficacy of our method, achieving an impressive 95.39% accuracy on lab datasets and 88% on public datasets. Compared to existing decoding techniques, our proposed model demonstrates superior performance. These results unequivocally demonstrate the versatility and effectiveness of our model in accurately classifying actions across diverse tasks and experimental paradigms, thereby significantly enhancing the reliability and effectiveness of neurological disease rehabilitation training through the strategic fusion of EEG and sEMG signals.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12335-12346"},"PeriodicalIF":4.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0