{"title":"Phase Unwrapping Method Based on Vibrational Phase Shifting for 3-D Measurement","authors":"Wei Liang;Wenju Zhou;Desen Luo","doi":"10.1109/JSEN.2025.3561802","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561802","url":null,"abstract":"The temporal phase unwrapping (TPU) method is widely utilized for its high performances. However, the existing TPU methods require projecting fringe patterns other than phase shifting patterns to assist in determining phase orders, which significantly affects the measurement efficiency and speed. To address this issue, we propose a phase unwrapping method based on vibrational phase shifting (VPS) for 3-D measurement. The method improves the conventional phase shifting fringes by changing the light intensity of different fringes, thereby embedding period information within the phase shifting fringes. The period information is utilized to help determine phase orders, thereby avoiding projecting additional patterns during the phase unwrapping process. The method first utilizes the sinusoidal patterns for phase calculation and then employs two specific sinusoidal patterns with a sum phase shifting amount of <inline-formula> <tex-math>$2pi $ </tex-math></inline-formula> to obtain periodically distributed phase orders. Through the period information embedded in the phase shifting fringes, the periodically distributed phase orders are converted into continuous ones, thereby completing phase unwrapping and achieving measurement of the object. Measurements on a sphere and a sculpture were conducted to verify the feasibility of the proposed method. Experimental results demonstrate that the method enables the measurement of objects without projecting additional fringe patterns, offering faster measurement speed and higher measurement efficiency compared to other TPU methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20082-20089"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206157","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}
Zhiyang Deng;Chao Guo;Guanzhou Lian;Nan Yang;Bo Feng;Xiaochun Song;Yihua Kang
{"title":"Magnetic Permeability Perturbation Testing Based on Pulse Magnetization for Buried Defect in Ferromagnetic Material","authors":"Zhiyang Deng;Chao Guo;Guanzhou Lian;Nan Yang;Bo Feng;Xiaochun Song;Yihua Kang","doi":"10.1109/JSEN.2025.3561844","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561844","url":null,"abstract":"Magnetic permeability perturbation testing (MPPT) based on dc magnetization is effective for deep-buried defect detection. However, ferromagnetic materials with large thicknesses require larger magnetization devices, which hinders the lightweight design of in-service inspection equipment. This article proposes an MPPT based on pulse magnetization (PMPPT) for buried defects. Under the influence of pulse magnetization, information about the internal defects is mainly transferred to the surface layer of the material through the magnetic permeability perturbation (MPP) and then detected by sensors. The MPP within the material under pulsed magnetization is analyzed, and the feasibility of this method is verified by simulations and experiments. Experimental results demonstrate the effective detection of defects located at a depth of 1 mm on the backside of a specimen with a thickness of 12 mm. Furthermore, the effects of pulse magnetization parameters, including frequency, duty cycle, and amplitude, on the detected signals are investigated. The results indicate that increasing the pulse current amplitude enhances the detection signal, while a lower pulse square wave frequency is more effective for thicker samples. By adjusting the amplitude and duty cycle of the pulse current, the detection signal can be improved compared to dc magnetization. PMPPT can contribute to reducing the weight of in-service inspection equipment and holds significant potential for engineering applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"18952-18961"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206160","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}
{"title":"Three-Axis Magnetic Field Compensation for SERF Atomic Magnetometers Based on Dispersion Curve Characteristics","authors":"Yifei Fu;Xiaojian Hao;Rui Jia;Wuliang Yin;Xinying Yu;Xie Feng;Dongjing Zhang","doi":"10.1109/JSEN.2025.3561746","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561746","url":null,"abstract":"Spin-exchange relaxation-free (SERF) atomic magnetometers are widely recognized for their ultrahigh sensitivity in weak magnetic field measurements. However, traditional SERF magnetometers face critical limitations, where dynamic magnetic field disturbances severely degrade sensitivity. To address this challenge, we propose a three-axis magnetic compensation method based on real-time dispersion curve analysis and closed-loop control. By leveraging the symmetry characteristics of the dispersion curve, our approach identifies environmental magnetic field interference and dynamically adjusts compensation currents through a feedback mechanism. Furthermore, the integration of the Fibonacci sequence algorithm optimizes the search process for key dispersion curve nodes (e.g., extrema and zero-crossing points), significantly reducing computational complexity and accelerating compensation convergence. Experimental results demonstrate that the proposed method achieves a sensitivity of 90.1 fT/Hz<inline-formula> <tex-math>${}^{{1}/{2}}$ </tex-math></inline-formula> (improved by 64.9% compared to uncompensated systems) and suppresses magnetic noise by 87.75% in complex dynamic environments with proven long-term effectiveness. This work provides a reliable framework for high-precision SERF magnetic measurements in medical diagnostics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19040-19051"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206086","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}
{"title":"A Long-Range Vital Signs Sensing Framework Using Massive Millimeter-Wave Channels","authors":"Zhenyu Liu;Silong Tu;Zibin Wang;Xiaolin Li","doi":"10.1109/JSEN.2025.3561752","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561752","url":null,"abstract":"Long-range vital signs sensing using millimeter-wave (mmWave) radar faces two challenges: one is the severe path loss in mmWave bands, which results in reflected signals from the subject being too weak and drowning in noise. The other is that the subtle movements of breathing and heartbeat make the vital signals too faint to be obtained. Inspired by channel diversity, a long-range vital signs sensing framework using massive channels is proposed to tackle these challenges. First, considering the width of the torso, a vital bins selection method based on diversity combining and correlation analysis (DC-CA) is proposed for identifying the range bins with vital signals. Second, an improved independent vector analysis based on principal component analysis (PCA-IVA) is put forward to enhance the vital signals from massive channels by leveraging their quasiperiodicity and correlation. Third, quality factor (QF) variation for parameter optimization and dispersion entropy (DE) for vital components selection are introduced into multivariate variational mode decomposition (MVMD) as the MVMD-QF-DE method to separate respiratory and heartbeat signals with high quality. The experimental results demonstrate that the proposed framework could accurately sense vital signs even when the reflected signals and vital signals are drowned out by noise, thereby increasing the sensing range to 25 m. The sensing accuracy is significantly improved compared to existing methods, achieving respiratory and heartbeat rate accuracies of 97.25% and 98.84%, respectively.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20090-20103"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205897","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}
{"title":"Detection and Visualization of Multiple Radio Frequency Information in Real Time Using Nitrogen-Vacancy Centers","authors":"Dongqian Ke;BingDi Wu;Doudou Zheng;Yang Li;Xin Li;Zhonghao Li;Hao Guo;Huanfei Wen;Yanjun Li;Jun Tang;Zongmin Ma;Jun Liu","doi":"10.1109/JSEN.2025.3561793","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561793","url":null,"abstract":"This article demonstrates a simultaneous detection of multiple radio frequency (RF) information and visualization coding method based on nitrogen vacancy (NV) centers. By applying an external magnetic field gradient to spatially encode the resonance frequency of the optical detection magnetic resonance (ODMR) spectrum, the continuous detection bandwidth is extended to 250 MHz. By precisely controlling the excitation of different RF signals through timing and combining it with wide-field imaging techniques to capture consecutive frames of images and superimpose them, a wide range of complex RF information is encoded into a 2-D pattern. The barcodes as well as letter patterns generated in the experiment clearly show the characteristics of different RF signals. The experiments were conducted in the 3.50–3.75-GHz band with a dynamic range of 40 dBm and a detection sensitivity of 8.07 <inline-formula> <tex-math>$nT/Hz^{{1}/{2}}$ </tex-math></inline-formula>. The program detects multiple RF signals synchronously in real time and presents their signal characteristics in a visual pattern, which provides a new technical approach for intuitively analyzing complex signals in areas, such as radar, navigation, and wireless communications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19052-19061"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206009","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}
{"title":"An NV Magnetometer With High Fluorescence Excitation and Collection Efficiency Using Silicon-Based MEMS Process","authors":"Qingli Zhang;Hui Wang;Guozheng Wang;Doudou Zheng;Chenyu Hou;Jianghao Fu;Li Qin;Huanfei Wen;Zhonghao Li;Xin Li;Hao Guo;Jun Tang;Yanjun Li;Zongmin Ma;Jun Liu","doi":"10.1109/JSEN.2025.3561502","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561502","url":null,"abstract":"The fabrication of nitrogen-vacancy (NV) center magnetometers utilizing micro-electro-mechanical systems (MEMSs) has gained popularity due to the low cost, good consistency, and easy of system integration. This article presents the fabrication of an NV magnetometer using MEMS process, which integrates a silicon-based resonator for microwave transmission, a diamond waveguide for fluorescence emission, and a silicon-based reflector for fluorescence collection. The magnetometer operates on the principle of continuous-wave optically detected magnetic resonance (CW-ODMR) for magnetic field detection. The inhomogeneity of the silicon-based resonator in the <inline-formula> <tex-math>$1.9times 1.9$ </tex-math></inline-formula> mm area of hole is 7.7%. The combined effect of the silicon-based reflector and diamond waveguide achieves a 2.82-fold enhancement in fluorescence collection efficiency. The silicon-silicon interface between the resonator and reflector components is fabricated via thermal compression bonding to form a groove for subsequent diamond waveguide integration. The processed components are placed within a ceramic tube shell and subsequently encapsulated in glass. The integrated magnetometer, with dimensions of <inline-formula> <tex-math>$14times 14times 12$ </tex-math></inline-formula> mm, achieves a sensitivity of 901.96 pT/Hz<inline-formula> <tex-math>${}^{1/2}$ </tex-math></inline-formula> within the 1–55 Hz, a photon shot noise limited sensitivity of 121 pT/Hz<inline-formula> <tex-math>${}^{1/2}$ </tex-math></inline-formula>, and a magnetic field detection range of <inline-formula> <tex-math>$pm 168.2~mu $ </tex-math></inline-formula>T.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19032-19039"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206087","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}
{"title":"Optical Fiber Integrated Photoelectrochemical Sensing Patch: Toward Noninvasive Blood Glucose Detection","authors":"Xingyue Wen;Zhongxuan Ge;Minghua Ma;Xinghua Yang;Shengjia Wang;Fengjun Tian;Zhihai Liu;Yu Zhang;Pingping Teng;Shuai Gao;Zheng Zhu;Yang Zhang;Adam Jones;Bo Zhang;Sivagunalan Sivanathan;Kang Li","doi":"10.1109/JSEN.2025.3561324","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561324","url":null,"abstract":"In recent years, noninvasive blood glucose detection has received increasing attention. Among them, sweat glucose detection is expected to become an alternative to blood glucose detection due to advantages such as its samples easily to obtain. This study was proposed and preliminarily verified a prototype of photoelectrochemical (PEC) sensing patch based on an optical fiber modified by Indium tin oxide (ITO)/ZnO/polydopamine (PDA)/glucose oxidase (GOD) and printed electrode, enabling close contact with human skin. In this innovative design, the optical fiber to serve both as a light transmission medium and a working electrode (WE), while the printed electrode functions as the counter electrode and reference electrode. The electrode materials were characterized by scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), X-ray diffractometer (XRD), and X-ray photoelectron spectrometer (XPS), and the reaction kinetics of the optical fiber electrode studied through square wave voltammetry (SWV), electrochemical impedance spectroscopy (EIS), and Mott-Schottky analysis. A linear relationship was established between the photocurrent and the logarithm of glucose concentration in the concentration range from <inline-formula> <tex-math>$10~mu $ </tex-math></inline-formula>M to 1 mM, with a detection limit of <inline-formula> <tex-math>$3.5~mu $ </tex-math></inline-formula>M, and a response time of less than 1 s. In addition, the specificity and stability of the sensing patch were evaluated, and an attempt was made to detect real sweat glucose in situ. This work presents a novel prototype for the development of wearable sensors, with promising applications in biochemical analysis and health monitoring.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"18741-18749"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196643","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}
Long Zhao;Jinhui Su;Yusheng Zhong;Weiwei Xie;Jinya Su;Xisong Chen;Congyan Chen;Shihua Li
{"title":"BeltLineNet: A Shape-Prior-Guided Lightweight Network for Real-Time Deviation Detection in Circular Pipe Conveyors","authors":"Long Zhao;Jinhui Su;Yusheng Zhong;Weiwei Xie;Jinya Su;Xisong Chen;Congyan Chen;Shihua Li","doi":"10.1109/JSEN.2025.3561351","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561351","url":null,"abstract":"Belt deviation in circular pipe conveyor systems could lead to material spillage, environmental contamination, reduced efficiency, and accelerated belt wear. Real-time belt deviation detection is crucial for ensuring safe and efficient operation. However, existing methods, primarily developed for flat-belt systems, heavily rely on distinct belt-background semantics, making them unsuitable for circular conveyors where indistinct target features, motion blur, and occlusions pose significant challenges. To address these issues, we reformulate the deviation detection task as an object detection problem, proposing BeltLineNet, a lightweight, real-time deviation detection network specifically designed for circular pipe conveyors. Our method integrates explicit feature learning with a coarse-to-fine global feature fusion mechanism, enhancing belt-line representation under complex conditions. Additionally, a shape-prior loss strategy is introduced to improve supervision during training, ensuring more accurate detection of elongated targets. The model is also optimized for real-time deployment through layer-adaptive pruning, achieving a balance between accuracy and computational efficiency. Extensive comparative experiments involving 8 state-of-the-art (SOTA) feature extraction networks and 6 feature enhancement strategies on a self-collected dataset under industrial conditions demonstrate that BeltLineNet surpasses SOTA feature extraction and fusion networks, improving average precision (AP) by 8.23% before pruning and 6.33% after pruning.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20024-20036"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205847","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}
{"title":"Dynamically-Tunable Narrowband Color Sensor Compatible With CMOS Technology","authors":"Akbar Beheshti Asl;Hodjat Ahmadi;Ali Rostami","doi":"10.1109/JSEN.2025.3562116","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562116","url":null,"abstract":"Color sensors have broad applications in spectroscopy, medical imaging, and CMOS-based cameras. One of the fundamental challenges in this field is implementing a dynamically tunable filter capable of covering the visible spectrum; hence, designing a tunable filter with high spectral resolution and a narrow bandwidth frequency response is essential. In this work, a multilayer color sensor based on Fabry-Pérot resonance is designed, offering the capability for static and dynamic tuning of the transmitted wavelength and the ability to detect different colors in an integrated device, including a filter and detector. The filter comprises four parts: blue, green, yellow-orange, and red. The detector is a simple p-n photodiode. The dynamic adjustment is performed via the voltage applied to the filter. In addition to the dynamic tunability, a key characteristic of this structure is its bandwidth, which remains consistently below 9, 8.5, 8, and 11.5 nm for blue, green, yellow-orange, and red regions, respectively. Notably, the materials used in this structure have been selected to be compatible with CMOS technology. Another feature of this sensor is its 50-nm spectral shift for each specified spectrum, achieved with a 15-V bias. Furthermore, this device presents minuscule crosstalk (below 5%) compared to other devices.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19117-19124"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206146","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}
Dingding Wang;Hongjuan Zhang;Pengfei Wang;Yan Gao;Yu Wang;Baoquan Jin
{"title":"A DAS Monitoring System for Underground Cables Using Multi-Scale Dynamic Mel Frequency Cepstral Features","authors":"Dingding Wang;Hongjuan Zhang;Pengfei Wang;Yan Gao;Yu Wang;Baoquan Jin","doi":"10.1109/JSEN.2025.3561388","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561388","url":null,"abstract":"In this article, multi-scale dynamic Mel frequency cepstral features (MSD-MFCFs) are proposed to improve the recognition accuracy of the distributed acoustic sensing (DAS) system. The vibration signal is segmented twice using different frame lengths. In one segmentation, improved Mel frequency cepstral coefficients (MFCCs) are extracted, considering the characteristics of the frequency distribution. In the other segmentation, linear predictive cepstral coefficients (LPCCs) are extracted. Dynamic features are then derived by the linear combination of static features from adjacent frames. All these features are weighted and fused based on mutual information, which measures the dependency between features and labels, to form the final features. These final features are used as the input to a neural network to identify the target events. Experiments are conducted by applying various vibrations to the cable buried in three different environments. The results indicate that the proposed features achieve a recognition accuracy of 99.38% for eight types of vibration events. Moreover, these features maintain high recognition accuracy and performance stability, even with variations in input data, parameter changes, and noise interference.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19323-19331"},"PeriodicalIF":4.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196766","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}