IEEE Sensors Letters最新文献_第5页

Label-Free Electrochemical Detection of Mucin in Urinary Extracellular Vesicles to Monitor High-Altitude Hypoxia Adaptation 尿细胞外囊泡粘蛋白无标记电化学检测监测高原缺氧适应

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-14 DOI: 10.1109/LSENS.2026.3713253

Nusrat Praween;Sunil Kumar;Palash Kumar Basu

{"title":"Label-Free Electrochemical Detection of Mucin in Urinary Extracellular Vesicles to Monitor High-Altitude Hypoxia Adaptation","authors":"Nusrat Praween;Sunil Kumar;Palash Kumar Basu","doi":"10.1109/LSENS.2026.3713253","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3713253","url":null,"abstract":"Severe hypoxic conditions cause systemic physiological stress, highlighting the need for noninvasive health monitoring. Urinary extracellular vesicles (uEVs) contain stable, hypoxia-responsive biomarkers like Mucin-1 (MUC1) and Mucin-5AC (MUC5AC). We introduce a compact, label-free electrochemical impedance spectroscopy biosensor with reagent-free electric field lysis method. A 30-s square wave (50 mV, 1 kHz) applied directly to urine quickly breaks down uEV lipid membranes, releasing intravesicular contents efficiently. Validated with enzyme-linked immunosorbent assay (ELISA), this physical on-chip lysis yields a 3.06-fold increase in biomarker recovery compared to untreated samples without denaturing chemicals. The sensor was tested with urine samples taken before and after a 10-day high-altitude (14 860 ft) hypoxic challenge. The dual-biomarker system detected significant, individual increases posthypoxia, ranging from 54.7% to 526.1% for EV-MUC5AC and 60.9% to 127.4% for EV-MUC1. By bypassing traditional isolation and extraction processes, this platform reduces workflow time by about 95%, offering a rapid, highly sensitive point-of-care method for real-time monitoring of physiological stress in extreme environments.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"4502804-4502804"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626394","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}

引用次数: 0

Analysis and Closed-Loop Suppression of In-Plane Linear Acceleration Sensitivity for MEMS Quadruple Mass Gyroscope MEMS四倍质量陀螺仪平面内线性加速度灵敏度分析及闭环抑制

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-29 DOI: 10.1109/LSENS.2026.3708157

Jianjun Ma;Bin Zhou;Qi Wei;Rong Zhang

{"title":"Analysis and Closed-Loop Suppression of In-Plane Linear Acceleration Sensitivity for MEMS Quadruple Mass Gyroscope","authors":"Jianjun Ma;Bin Zhou;Qi Wei;Rong Zhang","doi":"10.1109/LSENS.2026.3708157","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3708157","url":null,"abstract":"This letter presents theoretical analysis, closed-loop suppression design, and experimental verification of in-plane linear acceleration sensitivity in a center-anchor-supported quadruple-mass gyroscope (CSQMG). Despite the inherent common-mode rejection of multimass structures, capacitive nonlinearity, and coupling electrostatic forces remain significant sources of g-sensitivity errors. A theoretical model considering capacitive nonlinearity in the sense electrodes and coupling electrostatic forces along the sense direction in the drive electrodes is developed for the CSQMG. Dedicated electrodes featuring a 45°-tilted comb design are implemented to suppress acceleration-induced displacement in a closed-loop feedback system. Experimental results demonstrate that the bias g-sensitivity is substantially reduced from 98.6°/h/g to 7.9°/h/g. Furthermore, scale factor g-sensitivity tests under centripetal acceleration show that the scale factor increment is suppressed from 0.27% to nearly zero. These results verify the effectiveness of the proposed closed-loop suppression technique for reducing MEMS gyroscope g-sensitivity, and further support the implementation of a novel single-drive six-axis integrated chip that combines a single-drive three-axis CSQMG and three-axis closed-loop accelerometers.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"2504004-2504004"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626872","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}

引用次数: 0

Machine Learning-Based Virtual Luxmeters for Fault Compensation and Angular Sensing Expansion in Robotic Lighting Inspection 基于机器学习的虚拟亮度计在机器人照明检测中的故障补偿和角传感扩展

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-16 DOI: 10.1109/LSENS.2026.3713669

João Henrique Campos Soares;José Mario Nishihara de Albuquerque;Giovanni Braglia;André Eugênio Lazzaretti;André Schneider de Oliveira;Ronnier Frates Rohrich

{"title":"Machine Learning-Based Virtual Luxmeters for Fault Compensation and Angular Sensing Expansion in Robotic Lighting Inspection","authors":"João Henrique Campos Soares;José Mario Nishihara de Albuquerque;Giovanni Braglia;André Eugênio Lazzaretti;André Schneider de Oliveira;Ronnier Frates Rohrich","doi":"10.1109/LSENS.2026.3713669","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3713669","url":null,"abstract":"This letter proposes a machine learning-based virtual luxmeter framework for robotic lighting inspection systems, aiming to improve sensing robustness and expand angular measurement coverage without requiring additional hardware. Traditional robotic lighting inspection platforms rely exclusively on physical luxmeters, limiting angular resolution and making the system vulnerable to sensor failures or faulty readings. The proposed approach employs a multilayer perceptron model to learn the spatial correlations between multidirectional illuminance measurements and robot orientation, enabling both physical sensor reconstruction and virtual sensor generation. To support model training and validation, a controlled rotational acquisition methodology was developed using a seven-sensor robotic platform under fixed laboratory lighting conditions, generating ground-truth data for intermediate angular sensing. Experimental validation demonstrated high reconstruction accuracy for physical sensor replacement, achieving mean absolute errors below 1 lx, while virtual sensor inference achieved average errors of approximately 5 lx. Although this indoor Proof of Concept requires future retraining for complex outdoor deployment, the results validate the methodology’s capability to compensate faulty readings and generate reliable virtual estimations, increasing the sensing density and reliability of the framework.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"6007904-6007904"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627804","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}

引用次数: 0

Radar-Based Sleep Posture Transition Sensing: An Efficient Deep Learning Hierarchical Temporal Architecture Utilizing Depthwise Convolution 基于雷达的睡眠姿势转换感知：一种利用深度卷积的高效深度学习分层时间结构

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-03 DOI: 10.1109/LSENS.2026.3710058

Sadman Rahman;Rishi Raj Sharma;Kazi Newaj Faisal

{"title":"Radar-Based Sleep Posture Transition Sensing: An Efficient Deep Learning Hierarchical Temporal Architecture Utilizing Depthwise Convolution","authors":"Sadman Rahman;Rishi Raj Sharma;Kazi Newaj Faisal","doi":"10.1109/LSENS.2026.3710058","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3710058","url":null,"abstract":"Sleep posture transitions (SPTs) are critical indicators of sleep quality, essential for preventing posture-related complications in clinical and assistive care. Conventional vision-based, infrared, and pressure-mat monitoring systems face limitations in privacy preservation and robustness. This letter presents a sensor-oriented radar signal processing method for SPT recognition using frequency-modulated continuous-wave radar, processing time-range (TR) maps through a hierarchical temporal architecture. The proposed single-branch network employs depthwise convolutions, multihead self-attention, generalized mean pooling, and bidirectional recurrent modeling to extract discriminative features from radar-signal-derived TR representations. Evaluated on a seven-class SPT dataset with 1407 TR samples from 20 participants, the method achieves 99.29% accuracy under fivefold cross-validation. A subject-independent leave-one-subject-out evaluation further confirms strong generalization, with performance of 99.22% <inline-formula><tex-math>$pm$</tex-math></inline-formula> 1.78% across subjects. Robustness analysis under Gaussian noise perturbation maintains 98.94% accuracy, indicating resilience to signal degradation and environmental variations. Comparative analysis with time-Doppler maps with 1400 samples achieves 95.71% accuracy, demonstrating the superiority of range-based displacement representations over velocity-based signatures. The compact 18.6 M parameter architecture with 2.10 giga floating point operations per second and 5.787 ms inference time enables real-time deployment in privacy-preserving healthcare monitoring systems while maintaining sensor-level signal fidelity.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"6007504-6007504"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628169","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}

引用次数: 0

IEEE Sensors Letters Subject Categories for Article Numbering Information 用于物品编号信息的IEEE传感器字母主题分类

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-08-19 DOI: 10.1109/LSENS.2026.3719017

引用次数: 0

Multicondition Crack Detection and Surface Assessment for Underwater Metal Structures Using Adaptive Vision Models 基于自适应视觉模型的水下金属结构多条件裂纹检测与表面评估

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-29 DOI: 10.1109/LSENS.2026.3708183

Mohammad Arif Khan;Sourav Roy;Kaushik Bandopadhyay;Avishek Adhikary

{"title":"Multicondition Crack Detection and Surface Assessment for Underwater Metal Structures Using Adaptive Vision Models","authors":"Mohammad Arif Khan;Sourav Roy;Kaushik Bandopadhyay;Avishek Adhikary","doi":"10.1109/LSENS.2026.3708183","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3708183","url":null,"abstract":"Ensuring the integrity of underwater metal structures requires precise crack detection in regular basis. Identifying the surface condition is also crucial because rusted areas necessitate specific prerepair treatments in case of crack maintenance. An accurate image-based crack detection and surface classification (rust or nonrust) directly from the image data collected from the camera mounted on an under remotely operating vehicle can bring a paradignm shift in underwater maintenance. However, such detection accuracy is heavily affected by water types, turbidity, or the presence of algae in water. In this work, we present a dual-task learning framework incorporating DenseNet201 for surface classification and a you only look once (YOLOv8) models for crack detection, trained under various types of water: clean, turbid, or algae-affected. With customized YOLOv8 models by optimizing confidence threshold as per water types, we have achieved precision = 87.4% and mAP@50 = 84.0 for clean water. Furthermore, by proposing an adaptive scheme for camera positioning based on water turbidity, the proposed framework achieve an average mAP@50 82.7% for water turbidity ranging from 15 to 120 nephelometric turbidity units (clean to turbid). The DenseNet201 model on the other hand shows an accuracy of 99.38% accuracy in detecting rust surface in all water.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"5505004-5505004"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626410","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}

引用次数: 0

AI-Generated Fingerprint Forgery Detection for Tiny Partial Fingerprint Sensors Using Multigenerative Model Framework With Feature Augmentation 基于特征增强的多生成模型框架的人工智能指纹伪造检测

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-14 DOI: 10.1109/LSENS.2026.3713275

Mao-Hsiu Hsu;Bo-Jie Zhang

引用次数: 0

Design of a Passive High-g MEMS Acceleration Sensor for Drop Tests 用于跌落测试的无源高g MEMS加速度传感器的设计

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-01 DOI: 10.1109/LSENS.2026.3709136

Sebastian Hermann;Burkhard Kuhlmann;Andrea Guerrieri;Jeffrey Gregory;Andreas Lassl;André Zimmermann

{"title":"Design of a Passive High-g MEMS Acceleration Sensor for Drop Tests","authors":"Sebastian Hermann;Burkhard Kuhlmann;Andrea Guerrieri;Jeffrey Gregory;Andreas Lassl;André Zimmermann","doi":"10.1109/LSENS.2026.3709136","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3709136","url":null,"abstract":"This letter presents the design, fabrication, and testing of a novel passive high-g micro-electro-mechanical systems acceleration sensor for recording shock events, primarily for drop tests in consumer electronics. The sensor operates based on a passive mechanical concept, where an inertial mass displaces under acceleration and impacts a series of breakable mechanical fuses. The breakage of these fuses in the form of small beams serves as a permanent, nonvolatile record of the peak displacement, which corresponds to the experienced acceleration. The state of the beams is determined by measuring changes in the electrical resistance across the path. Devices are fabricated, which utilize the proposed structure with two distinct resonance frequencies to better differentiate the shock profile. An experimental validation was performed by subjecting these devices to controlled shocks up to 70 000 g using a Hopkinson bar. The structure successfully indicates the occurrence and direction of a shock event through a measurable change in resistance, which validates the core concept of the passive acceleration sensor.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"2504104-2504104"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627500","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}

引用次数: 0

Aerosol Jet-Printed Multilayer SWCNT/P3HT Phototransistors With Photogating Enhanced Responsivity 气溶胶喷射打印多层swcnts /P3HT光电晶体管与光控增强响应

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-24 DOI: 10.1109/LSENS.2026.3707036

Zahra Bahrami;Kevin Schnittker;Strahinja Marinkovic;Joseph Andrews

{"title":"Aerosol Jet-Printed Multilayer SWCNT/P3HT Phototransistors With Photogating Enhanced Responsivity","authors":"Zahra Bahrami;Kevin Schnittker;Strahinja Marinkovic;Joseph Andrews","doi":"10.1109/LSENS.2026.3707036","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3707036","url":null,"abstract":"Phototransistors (PTs) are critical sensing components for emerging technologies, particularly for weak light detection. Printed PTs offer significant advantages, including flexibility, and large-area scalability. In this study, we present a simplified and cost-effective process for fabricating single-wall carbon nanotube (SWCNT) and Poly(3-hexylthiophene) (P3HT) PTs using aerosol jet printing. Our findings reveal that the printed devices exhibit exceptionally high photoresponsivity, achieving 6.48 × 104 A/W at a wavelength of 470 nm with a power intensity of 0.37 <italic>μW/cm2. This remarkable photoresponsivity is primarily due to the high light absorption characteristics of the conjugated polymer, combined with the excellent mobility provided by the underlying SWCNT network. Furthermore, we assessed the detectivity by analyzing the noise profile at 10 Hz. The maximum detectivity reaches approximately 2.53 × 1010. These results indicate that the aerosol jet-printed SWCNT/P3HT multilayer platform is a promising approach for advanced large-area, flexible photodetection applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"3504804-3504804"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627580","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}

引用次数: 0

Multichannel Wireless Driving of an Untethered Film Robot Based on Kinetic Electronics for Sensor–Actuator Platforms 基于动力学电子学的无系膜机器人传感器-执行器平台多通道无线驱动

IF 2.4

IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-02 DOI: 10.1109/LSENS.2026.3709850

Yuta Fukuda;Yuzan Ninomiya;Kenshi Hayashi;Fumihiro Sassa

{"title":"Multichannel Wireless Driving of an Untethered Film Robot Based on Kinetic Electronics for Sensor–Actuator Platforms","authors":"Yuta Fukuda;Yuzan Ninomiya;Kenshi Hayashi;Fumihiro Sassa","doi":"10.1109/LSENS.2026.3709850","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3709850","url":null,"abstract":"Small robots capable of operating in confined or difficult-to-access environments are attracting interest for inspection, environmental monitoring, and biomedical applications. In such applications, mobile sensor–actuator platforms are expected to place sensing elements and functional interfaces near target sites. Kinetic electronics provides a monolithic film-robot platform for integrating actuators, electrical circuits, and extra functional components, including sensing elements. However, previously reported kinetic-electronics film robots have relied mainly on external electrical connections for actuation and control. In this study, we report frequency-selective wireless driving of an untethered film robot based on kinetic electronics using magnetic resonance coupling. The robot includes two thermal bimorph actuators, each connected to a receiver coil and a surface-mounted capacitor with different capacitance values. By switching the driving frequency, actuators A and B were selectively driven at 2.05 and 1.15 MHz, respectively. The actuator curvature decreased with increasing vertical distance between the transmitter and receiver coils, showing the distance-dependent wireless driving characteristics. Alternating the two driving frequencies produced planar locomotion of the robot. These results demonstrate an Untethered Film Robot with frequency-selective multiactuator operation and locomotion, providing a basis for mobile kinetic-electronics sensor–actuator platforms.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"5000404-5000404"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11594035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627803","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