IEEE Sensors Letters最新文献_第9页

Development, Characterization, and Performance Enhancement of CMOS-MEMS Dual-Gap Capacitive Transducers CMOS-MEMS双间隙电容式换能器的开发、表征及性能提升

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-28 DOI: 10.1109/LSENS.2025.3593225

Kuan-Yi Lu;Chang-Lin Hu;Chien-Ju Li;Hung-Yu Chen;Sheng-Shian Li

引用次数: 0

Human Activity Recognition From Radar Signals Based on FBSE-EWT and Quantum Convolution Neural Network 基于FBSE-EWT和量子卷积神经网络的雷达信号人体活动识别

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-28 DOI: 10.1109/LSENS.2025.3593355

Krishna Kumar Mishra;Ram Bilas Pachori

{"title":"Human Activity Recognition From Radar Signals Based on FBSE-EWT and Quantum Convolution Neural Network","authors":"Krishna Kumar Mishra;Ram Bilas Pachori","doi":"10.1109/LSENS.2025.3593355","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3593355","url":null,"abstract":"Frequency-modulated continuous wave (FMCW) radar signals reflected from the human activities are analyzed to enable accurate recognition and classification, forming the basis for activity recognition applications. The analysis of micro- and macromotions of human activities plays a vital role in automatic detection of suspicious activity in smart home automation and clinical applications. The use of convolutional neural networks (CNNs) with time–frequency representations (TFRs) for human activity recognition (HAR) is limited due to their reliance on large datasets, poor generalization to complex radar signals, and large model size. To mitigate these limitations, a novel Fourier–Bessel series expansion (FBSE)-based empirical wavelet transform (FBSE-EWT) and quantum CNN (QCNN)-based approach is proposed. The FBSE-EWT method is utilized for the TFRs of a reflected multicomponent nonstationary signal with enhanced frequency resolution. The QCNN effectively classifies the human activities, enabling accurate and efficient HAR. The HAR from radar signals based on FBSE-EWT and QCNNs has not been studied earlier based on our knowledge. This is the first instance to utilize the proposed method for HAR using FMCW radar signals. We have also conducted extensive study of FBSE-EWT-based method with CNN approaches (such as GoogLeNet and VGG19) in the same framework. The proposed approach achieves 95.71% test accuracy compared to existing CNNs, demonstrating its superior performance for HAR.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144868230","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

Wearable Ring-Based System for Measuring Hemodynamic Parameters 基于可穿戴环的血液动力学参数测量系统

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-25 DOI: 10.1109/LSENS.2025.3592756

Nico Lindström;Jukka-Pekka Sirkiä;Tuukka Panula;Matti Kaisti

{"title":"Wearable Ring-Based System for Measuring Hemodynamic Parameters","authors":"Nico Lindström;Jukka-Pekka Sirkiä;Tuukka Panula;Matti Kaisti","doi":"10.1109/LSENS.2025.3592756","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3592756","url":null,"abstract":"Currently, there are no reliable and convenient wearable solutions for measuring blood pressure, which remains a key indicator of cardiovascular health. Many existing measuring systems are bulky, complex, and expensive, which limits their practicality for everyday use for wearable application. We introduce a compact, ring-shaped blood pressure measurement device as a proof-of-concept. It is based on a local oscillometric spot measurement obtained from the base of the index finger. The ring is made of two parts, where the outer sleeve induces pressure to the finger, and the inner guide bushing houses a ring sensor unit, which incorporates a commercial photoplethysmography module and a force-sensitive resistor. Manual rotation of the outer part of the ring applies pressure that occludes the digital artery, allowing estimation of blood pressure. For evaluation, we compared the results from our device with reference measurements from a brachial cuff blood pressure monitor. Ten volunteers underwent three to six measurements. The ring was able to capture moderate-quality oscillometric responses. The results (Bland–Altman: systolic mean difference <inline-formula><tex-math>$upmu$</tex-math></inline-formula> = 1.1 mmHg and standard deviation <inline-formula><tex-math>$sigma$</tex-math></inline-formula> = 9.5 mmHg, diastolic <inline-formula><tex-math>$upmu$</tex-math></inline-formula> = 0.1 mmHg and <inline-formula><tex-math>$sigma$</tex-math></inline-formula> = 13.4 mmHg) demonstrate the feasibility of the approach. There are still many sources of uncertainty, but these results highlight the potential of this new setup. As a proof-of-concept, the current setup lays the groundwork for future improvements. With further mechanical refinements and system simplifications, this wearable ring offers a promising pathway to accessible, comfortable, and portable blood pressure monitoring.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 8","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11096619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810705","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

Interferent-Free Electrochemical Detection of Nitrate in Water Using Copper–Cobalt-Based Sensor 铜钴基传感器对水中硝酸盐的无干扰电化学检测

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-24 DOI: 10.1109/LSENS.2025.3592316

Daisy Das;Alan O'Riordan;Han Shao

{"title":"Interferent-Free Electrochemical Detection of Nitrate in Water Using Copper–Cobalt-Based Sensor","authors":"Daisy Das;Alan O'Riordan;Han Shao","doi":"10.1109/LSENS.2025.3592316","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3592316","url":null,"abstract":"Nitrate contamination in water is a significant global concern, prompting regulatory bodies such as the European Union to set a maximum permissible limit of 44 mg/L in drinking water. However, conventional laboratory-based detection methods are time-consuming and require specialized expertise, while chemical electrode systems often suffer from drawbacks such as frequent recalibration and ion cross sensitivity, limiting their suitability for long-term and on-site monitoring. In response to these challenges, we present a novel and cost-effective electrochemical sensor based on a copper–cobalt-based electrochemical sensor for reliable nitrate detection. The sensor exhibits a remarkable true detection limit of 0.19 µM and a limit of quantification of 4.41 µM and demonstrates high selectivity even in the presence of commonly interfering ions such as Mg2+, SO42-, Zn2+, K+, NH4+, Fe2+, and Na+. Owing to its sensitivity, selectivity, and portability, the developed sensor offers a promising solution for real-time, on-site monitoring of nitrate concentrations in both water and soil samples.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831705","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

Wavelet Augmented Phase Coherence Features for EEG-Based Imagined Speech Classification 基于小波增强相位相干特征的脑电想象语音分类

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-23 DOI: 10.1109/LSENS.2025.3591964

Anand Mohan;R. S Anand

{"title":"Wavelet Augmented Phase Coherence Features for EEG-Based Imagined Speech Classification","authors":"Anand Mohan;R. S Anand","doi":"10.1109/LSENS.2025.3591964","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591964","url":null,"abstract":"Brain–computer interfaces (BCIs) provide direct communication between the brain and external devices. Using electroencephalogram (EEG) sensors, BCIs are applied in assistive technologies and neuroprosthetics. Among various BCI paradigms, imagined speech-based BCI aims to decode internal speech representations from EEG signals, enabling silent communication. Decoding imagined speech is challenging due to the nonstationarity, intersubject variability of EEG signals and low signal-to-noise ratio. The proposed method uses a multilayer perceptron (MLP) integrated with a convolutional block attention module (CBAM) to enhance feature learning by refining spatial and channel-wise attention. To further improve performance, wavelet-based augmentation enhances data diversity. Phase and coherence-based functional connectivity features capture interchannel dependencies critical for imagined speech classification. The proposed wavelet-augmented phase coherence features with MLP-CBAM (WaveCoh-MLP-CBAM) framework is evaluated on an imagined speech dataset. The WaveCoh-MLP-CBAM shows superior classification accuracy, F1-score, and Cohen's kappa compared to conventional approaches. Results highlight the importance of augmentation, functional connectivity features, and attention in improving EEG-based imagined speech decoding.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 8","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810708","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

Bin Occupancy Estimation in Warehouses With a TinyML Vision Sensor 基于TinyML视觉传感器的仓库占用估计

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-23 DOI: 10.1109/LSENS.2025.3592171

Rubens de A. Fernandes;Hendrio Bragança;Wallace Cavalcante;Raimundo C. S. Gomes;Paulo H. Nellessen;Leonardo Camelo;Israel Torné

引用次数: 0

A Robust Energy Management Circuit for Energy Harvesting From Wideband Low-Acceleration Vibrations in Wireless Sensor Screws 无线传感器螺钉宽带低加速度振动能量收集的鲁棒能量管理电路

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-23 DOI: 10.1109/LSENS.2025.3592235

Kholoud Hamza;Ghada Bouattour;Fatma Benbrahim;Sebastian Bader;Ahmed Fakhfakh;Olfa Kanoun

引用次数: 0

Highly Improved Ethanol Gas Sensor Sensitivity, Selectivity, and Stability of Hierarchically Cube Featured In2O3 Structures Induced by Mn- and Co-Doping Mn-和共掺杂诱导的高度改进的乙醇气体传感器的灵敏度、选择性和稳定性

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-22 DOI: 10.1109/LSENS.2025.3591892

M. B. Kgomo-Masoga;M. S. Dhlamini;G. H. Mhlongo

引用次数: 0

Enhanced Electrical Impedance Tomography Using Rotating Radial Injection: A Quantitative Study on an Electrical Biomimetic Thoracic Phantom 基于旋转径向注射的增强电阻抗断层扫描：电仿生胸体的定量研究

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-21 DOI: 10.1109/LSENS.2025.3591271

Oumaima Bader;Hanyu Yang;Mariem Hafsa;Najoua Essoukri Ben Amara;Olfa Kanoun

{"title":"Enhanced Electrical Impedance Tomography Using Rotating Radial Injection: A Quantitative Study on an Electrical Biomimetic Thoracic Phantom","authors":"Oumaima Bader;Hanyu Yang;Mariem Hafsa;Najoua Essoukri Ben Amara;Olfa Kanoun","doi":"10.1109/LSENS.2025.3591271","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591271","url":null,"abstract":"Identifying the optimal current injection pattern is crucial in electrical impedance tomography (EIT) to improve image reconstruction accuracy. This study compares the performance of a newly proposed rotating radial current injection pattern with the commonly used in EIT, which are the adjacent and opposite injection patterns. The evaluation is realized on a biomimetic thorax-shaped resistor mesh phantom by evaluating quantitative metrics derived from measured boundary voltages, including condition number (<inline-formula><tex-math>$k$</tex-math></inline-formula>), dynamic range (DR), and mean sensitivity (<inline-formula><tex-math>$S$</tex-math></inline-formula>). The investigation is based on the evaluation of the image correlation coefficient (ICC) and the structural similarity index measure <inline-formula><tex-math>$(SSIM)$</tex-math></inline-formula>, comparing reconstructed images from simulation and measurement data to assess reconstruction accuracy. Results demonstrate that the rotating radial pattern achieves an ICC of 0.98, an SSIM of 0.82, a lower <inline-formula><tex-math>$k$</tex-math></inline-formula>, a higher <inline-formula><tex-math>$S$</tex-math></inline-formula>, and an increased DR compared to the adjacent and opposite patterns. These findings highlight the potential of the rotating radial pattern to advance EIT imaging performance for diverse applications in lung imaging.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909418","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

A Hall Effect-Based Force Sensing Mechanism for Force Sensing Inside Magnetic Resonance Imaging Scanner 基于霍尔效应的磁共振成像扫描仪内部力传感机构

IF 2.2

IEEE Sensors Letters Pub Date : 2025-07-21 DOI: 10.1109/LSENS.2025.3591071

Yen-Chun Chen;Ran Hao;Adam Thompson;Mark Griswold;M. Cenk Çavuşoğlu

引用次数: 0