IEEE Sensors Letters最新文献

Wearable RFID Sensor for Simultaneous Heartbeat and Respiration Monitoring

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-20 DOI: 10.1109/LSENS.2025.3548147

Runhao Zhang;Bo Zhang;Zhaozong Meng;Chenxi Li;Haichao Liu;Nan Gao

{"title":"Wearable RFID Sensor for Simultaneous Heartbeat and Respiration Monitoring","authors":"Runhao Zhang;Bo Zhang;Zhaozong Meng;Chenxi Li;Haichao Liu;Nan Gao","doi":"10.1109/LSENS.2025.3548147","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3548147","url":null,"abstract":"Novel sensing and communication techniques have created new opportunities for unobtrusive vital sign monitoring. Due to the features of wireless power and data transfer and non-line-of-sight interrogation of radio frequency identification (RFID), its innovative integration with different sensing elements has become a promising solution. Since the heartbeat and respiration signals are weak and their measurement is time-consuming, a lightweight and flexible solution for their unobtrusive wearable sensing remains a challenge. This investigation presents a novel capacitive pressure sensor (CPS)-augmented RFID solution for simultaneous and wearable sensing of heartbeat and respiration. The main contributions include: first, proposal of an innovative RFID-based vital sign monitoring scheme, which integrates a CPS for heartbeat sensing and employs RFID phase signals for respiration sensing; second, design and fabrication of a polydimethylsiloxane (PDMS)-based flexible and porous slotted CPS for continuous heartbeat sensing; and third, development of respiration signal reconstruction algorithm using the weak and noisy RFID phase integrating phase disambiguation, denoising, baseline removal, and peak detection. Experimental studies are conducted to verify the feasibility and effectiveness of the presented techniques.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667611","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

Performance Evaluation for a Muddy Water Contamination on Autonomous Sensors

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-20 DOI: 10.1109/LSENS.2025.3553101

Sungho Shin;Namkyun Kim;Wancheol Gim;Hun-Jae Kim;Joon Woo Lee;Hyuntaeck Lim

{"title":"Performance Evaluation for a Muddy Water Contamination on Autonomous Sensors","authors":"Sungho Shin;Namkyun Kim;Wancheol Gim;Hun-Jae Kim;Joon Woo Lee;Hyuntaeck Lim","doi":"10.1109/LSENS.2025.3553101","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3553101","url":null,"abstract":"Autonomous driving systems depend heavily on advanced recognition sensors, such as light detection and ranging, radar, cameras, and ultrasonic sensors, to navigate dynamic environments safely and effectively. However, these sensors are vulnerable to environmental contamination, particularly from muddy water, which can significantly degrade their optical performance. This letter presents a standardized method for evaluating the impact of muddy water contamination on recognition sensor cover with a focus on assessing transmittance reduction. An automated injection system was employed to apply varying levels of contamination to polycarbonate windows, and transmittance was estimated based on a pulsed laser module. The proposed method demonstrated that practical applicability was achieved by comparison with real-world contamination during test driving and laboratory findings. This research will provide a reliable, standardized approach to quantify the effects of various contaminations on sensor performance, also contributing to the development of more robust autonomous driving technologies capable of operating in harsh environmental conditions.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769410","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

High Responsivity in Near-Infrared Phototransistor With Oriented Polymer Semiconductors

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-19 DOI: 10.1109/LSENS.2025.3549783

Manish Pandey;Shubham Sharma;Shyam S. Pandey;Masakazu Nakamura

{"title":"High Responsivity in Near-Infrared Phototransistor With Oriented Polymer Semiconductors","authors":"Manish Pandey;Shubham Sharma;Shyam S. Pandey;Masakazu Nakamura","doi":"10.1109/LSENS.2025.3549783","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3549783","url":null,"abstract":"Near-infrared organic phototransistors (OPTs) in bottom-gated top-contact structures are being reported using an oriented p-type diketopyrrolopyrrole-based semiconducting polymer (SCP) (DPPT-TT). Here, highly oriented DPPT-TT floating films were prepared on a liquid substrate using the unidirectional floating-film transfer method (UFTM) and then utilized as the active layer. This innovative approach exhibits a dual-orientation advantage: They align polymer chains unidirectionally, enhancing charge transport along the backbone while simultaneously promoting an edge-on molecular arrangement relative to the substrate. This combination, coupled with highly uniform thin films, facilitates efficient charge transport pathways, contributing significantly to the fabrication of high-performance OPTs. Our DPPT-TT-based OPT exhibited a high field-effect mobility of 1.5 cm2·V−1·s−1 and photoresponsivity (R) > 105 A·W−1 at an intensity of 45 <italic>μW·cm−2 under 810 nm light illumination. This exceptional performance is attributed to faster carrier transport and efficient charge collection in the oriented DPPT-TT films enabled by the UFTM.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769379","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 Publication Information

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-19 DOI: 10.1109/LSENS.2025.3549957

引用次数: 0

IEEE Sensors Letters Subject Categories for Article Numbering Information

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-19 DOI: 10.1109/LSENS.2025.3549961

引用次数: 0

Engineering a Point-of-Care Device for Multiplex Monitoring of Urinary Parameters

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-17 DOI: 10.1109/LSENS.2025.3551929

Samiha Ahmed;Majed O. Althumayri;Weiming Xu;Azra Y. Tarman;Ramu Banavath;Jayesh Korgaonkar;Emily Wussow;Justin McMurray;Souvik Paul;Daniel Wollin;Gerard L. Coté;Hatice Ceylan Koydemir

{"title":"Engineering a Point-of-Care Device for Multiplex Monitoring of Urinary Parameters","authors":"Samiha Ahmed;Majed O. Althumayri;Weiming Xu;Azra Y. Tarman;Ramu Banavath;Jayesh Korgaonkar;Emily Wussow;Justin McMurray;Souvik Paul;Daniel Wollin;Gerard L. Coté;Hatice Ceylan Koydemir","doi":"10.1109/LSENS.2025.3551929","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3551929","url":null,"abstract":"Urinary tract infections (UTIs) are common and costly healthcare issues, particularly among catheterized patients. Current diagnostic methods, such as urine cultures and dipstick tests, suffer from delayed results and limited accuracy, highlighting the need for more reliable, real-time approaches. This letter presents a proof-of-concept point-of-care device for multiplex detection of key urine parameters—pH and nitrite levels—and urine volume in catheter bags used for intermittent or long-term urinary drainage. The system integrates commercial pH and nitrite probes with an ultrasonic liquid level sensor, all of which are managed by a control unit that processes and transmits data wirelessly via Bluetooth or near-field communication. The sensors were calibrated via standard solutions and tested for stability over four days, which revealed minimal drift. The system was further validated using human urine spiked with varying concentrations of nitrites and pH. The results demonstrated reliable sensor performance and accurate detection of urinary biomarkers in real time. While the system shows promise for the early detection of catheter-associated urinary tract infections, further validation is needed to confirm its validity over standard diagnostic methods. This device offers a feasible solution for real-time, noninvasive UTI monitoring at the point of care.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740328","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

Rotational Odometry Using Ultra Low Resolution Thermal Cameras

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-17 DOI: 10.1109/LSENS.2025.3552135

Ali Safa

引用次数: 0

An Electro-Optic Direct Current Sensor With Periodic Fiber Loss Self-Calibration

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-14 DOI: 10.1109/LSENS.2025.3551251

Cheng Cheng;Qiyao Chen;Kai Gao;Juan Tang;Ying Ji;Ying Miao

{"title":"An Electro-Optic Direct Current Sensor With Periodic Fiber Loss Self-Calibration","authors":"Cheng Cheng;Qiyao Chen;Kai Gao;Juan Tang;Ying Ji;Ying Miao","doi":"10.1109/LSENS.2025.3551251","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3551251","url":null,"abstract":"In this letter, we present a novel electro-optic dc sensor, which utilizes a fast variable optical attenuator (FVOA) with closed-loop feedback placed in the high-voltage (HV) environment, with the feature of high accuracy and low power consumption. The optical output power of the FVOA is proportional to the voltage of the shunt resistor, from which the value of the primary current can be calculated. In addition, a self-calibration structure is engineered to counteract optical loss by periodically injecting 0 V as a calibration reference through a laser-managed CMOS single-pole double-throw switch. The module in the HV with a power consumption of 2.2 mW is powered by a silicon photocell and a 915 nm laser. Experiments were made in which the accuracy, frequency response, and step response of the sensor were tested. Results show that ratio errors are below 0.24% when the current increases from 5% to 100% of the rated value. And ratio errors and phase errors are below 1.61% and 32.79 <italic>μs, respectively, over a frequency range of 50–1200 Hz. Moreover, the overshoot of 17.5% and the stabilization time of 361.22 <italic>μs are proved in the step response test. The accuracy performance of our sensor meets the requirements of GB/T 26216.1-2019 Class 0.1 [2019] and IEC 61869-14:2018 Class 0.1 [2018].","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688095","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

Human Activity Recognition Using WiFi Signal Features and Efficient Residual Packet Attention Network

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-14 DOI: 10.1109/LSENS.2025.3551337

Senquan Yang;Junjie Yang;Chao Yang;Wei Yan;Pu Li

{"title":"Human Activity Recognition Using WiFi Signal Features and Efficient Residual Packet Attention Network","authors":"Senquan Yang;Junjie Yang;Chao Yang;Wei Yan;Pu Li","doi":"10.1109/LSENS.2025.3551337","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3551337","url":null,"abstract":"WiFi signal features, particularly channel state information (CSI), have gained considerable attention in human activity recognition (HAR) due to their nonintrusive and privacy–friendly nature. However, CSI packets are often nonstationary and exhibit fluctuations across various human activities. In this letter, we propose an end-to-end deep neural network (DNN) called efficient residual packet attention network (ERPANet) to tackle these challenges. In the proposed framework, we introduce the multilayer residual module composed of an attention residual (AR) operation and a downsampling attention residual (DAR) operation to effectively capture spatial-temporal features of CSI packets. In addition, a self-attention mechanism is embedded within AR and DAR to emphasize the importance of interrelationship among these multiscale CSI packet features. The proposed ERPANet aims to encode both channel information and long-range dependencies of CSI packet features. Extensive experiments show that ERPANet outperforms state-of-the-art methods, achieving average accuracies of 99.4% and 99.6% on the university of toronto human activity recognition (UT-HAR) and nanyang technological university human activity recognition (NTU-HAR) datasets, respectively.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777748","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

Feature-Aware and Degradation-Driven Image Enhancement for Real-Time Fingerprint Recognition

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-12 DOI: 10.1109/LSENS.2025.3550874

Yu-Chi Su;Ching-Te Chiu;Lien-Chieh Huang;Yung-Ching Hsu;Tzu-Hsiang Hsiao

引用次数: 0