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The 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022)

作者： Jain, Rishabh Mago, Manav Dubey, Vibham Kumar Nathasha, V.P. Shukla, Rahul Sahani, Ashish Kumar Department of Computer Science IIT Ropar Punjab Rupnagar India Department of Electrical Engineering IIT Ropar Punjab Rupnagar India Department of Biomedical Engineering IIT Ropar Punjab Rupnagar India

ISBN: (纸本)9789819926794

This paper describes a novel Android Wear OS application, designed to enable researchers to conveniently collect sensor data from commonly available Wear OS smartwatches for dataset generation. The application was primarily developed to ensure the reliability of data collection during physical exercises. The application thus proposed implements a reliable dataset generation architecture, which researchers can extend and modify to adapt to their workflows. In the application, data is collected from sensors present on the smartwatch and then transferred to a paired smartphone. Thus, the application eliminates the need for a third device or service (such as cloud storage) for dataset generation. Data obtained from the smartwatch is stored in a predetermined folder/directory in the smartphone in CSV format making it convenient for performing data analysis. The application is tested by recording data from multiple subjects in the lab environment as well as outside the lab. The quality of data was confirmed by plotting it in normal working time, and during physical exercise and the changes are properly observed, which ensures that the data we are collecting is correct. Since the use of smartwatches has become prevalent for studying and diagnosing diseases, the application will be very useful for researchers across the globe for creating datasets for biomedical research. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smartphones

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Characterization of a Remote Fiber Optic Strain Sensing System

Characterization of a Remote Fiber Optic Strain Sensing Syst...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Daxini, Swapnil Aydin, Deniz Giron-Santos, Arthur Barnes, Jack Gu, Xijia Loock, Hans-Peter University of Victoria Department of Physics VictoriaBC Canada Queen's University Department of Chemistry KingstonON Canada Toronto Metropolitan University Department of Electrical Computer and Biomedical Engineering TorontoON Canada

We present a passive, all-fiber strain sensing system capable of measuring strain over 75 km using a diode laser locked to a π-shifted grating, with potential applications to develop a fiber optic hydrophone. © ... 详细信息

ISBN: (纸本)9781957171395

关键词： Strain measurement

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AI-Based Primary Diagnosis of Ocular Health via Smartphone 17

AI-Based Primary Diagnosis of Ocular Health via Smartphone

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17th International Conference on Signal Processing and Communication Systems, ICSPCS 2024

作者： Hammoud, Houssam Al Aref, Mohammad Yaman Al Jabouli, Mayar Hammoud, Mohamad Shehieb, Wessam Arshad, Kamran Ajman Univeristy College of Engineering and Information Technology Department of Biomedical Engineering Ajman United Arab Emirates Ajman Univeristy College of Engineering and Information Technology Department of Electrical and Computer Engineering Ajman United Arab Emirates Ajman University Artificial Intelligence Research Centre Ajman United Arab Emirates

ISBN: (纸本)9798350389630

Traditional diagnostic methods such as Fundus cameras and slit-lamps that are used for diagnosing various ocular diseases are often limited by their cost and accessibility which hinders timely intervention especially in rural areas and indigent societies with limited resources. While the current research is mostly focused on classification of single diseases or expensive setups, the proposed work aims to address these limitations by developing a cost-effective and user-friendly system for primary diagnosis of various ocular diseases, including Diabetic Retinopathy, Age-Related Macular Degeneration and Glaucoma. The proposed work utilizes a smartphone, cloud-based deep learning model, and a 3D printed multi-lens holder for fundus imaging. This research leverages open-source datasets for model training and testing, added to new sets of images that were collected throughout this work for validation. The new set tested the quality of the captured images in actual setup and verified accurate classification. Based on the results, the system has been successfully implemented and the overall classification accuracy of the multi-classification ResNet-50 model is 74%. Preliminary results demonstrate the potential of this approach for multi-classification of ocular diseases, marking a significant advancement in portable ocular health primary diagnostics. © 2024 IEEE.

关键词： Smartphones

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Development of an Anatomically Realistic Ultrasound Elastography Radiofrequency Database 22

Development of an Anatomically Realistic Ultrasound Elastogr...

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22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Boutin, Jonah Caius, Matthew Samani, Abbas School of Biomedical Engineering Western University LondonON Canada Western University Department of Medical Biophysics LondonON Canada Western University Department of Electrical and Computer Engineering LondonON Canada

ISBN: (纸本)9798331520526

This work presents the development of an anatomically realistic ultrasound elastography (USE) database, developed by modifying pre-existing B-mode images from open-source databases. Cooper's ligaments, a curvilinear network of ligaments running through the breast volume, are known to alter the stiffness distribution of the tissue due to their mechanical properties, affecting the tissue displacement field resulting from mechanical stimulation. In this paper, a method is presented for integrating these ligaments in B-mode images, in order to generate anatomically accurate radiofrequency (RF) data. This RF data serves as the foundation for training a convolutional neural network (CNN) designed to automatically detect breast cancer using USE, advancing the potential of this technology in breast cancer diagnosis. © 2025 IEEE.

关键词： Ultrasonography

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Dental Imaging Using a Higher Signal-to-Noise Ratio Optical Coherence Tomography System

Dental Imaging Using a Higher Signal-to-Noise Ratio Optical ...

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2023 IEEE International Conference on electrical, computer and Energy Technologies, ICECET 2023

作者： Azeez, Akeem. A. Mezgebo, Biniyam Franca, Rodrigo Sherif, Sherif S. University of Manitoba Biomedical Engineering Graduate Program Winnipeg Canada University of Manitoba Dept. of Electrical and Computer Engineering Winnipeg Canada University of Manitoba Dept. of Restorative Dentistry Winnipeg Canada

ISBN: (纸本)9798350327816

This paper presents an optical coherence tomography (OCT) system in conjunction with a novel image reconstruction technique employed for in vitro imaging of human teeth. The primary goal is to enhance the signal-to-noise ratio (SNR) in the obtained images. The study entails a comparative analysis between the conventional Fast Fourier Transform (FFT) OCT image reconstruction method and a newly introduced scaled nonuniform discrete Fourier transform (NDFT) approach. The findings reveal that the NDFT method consistently delivers superior results in terms of peak signal-to-noise ratio (PSNR) and overall image quality, even when dealing with redundant and nonuniform frequency domain samples. In light of these results, this paper concludes that integrating NDFT into OCT procedures has the potential to significantly enhance the quality of image reconstructions, thereby fostering its broader application in the field of dental imaging. © 2023 IEEE.

关键词： dental imaging frame theory image reconstruction Optical Coherence Tomography (OCT) signal processing

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Stray Fluxes Amplitude and Phase Shift Monitoring for Interturn Short Circuits Detection in Induction Motors

Stray Fluxes Amplitude and Phase Shift Monitoring for Intert...

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2024 International Conference on electrical Machines, ICEM 2024

作者： Minervini, Marcello Bonet-Jara, Jorge Fernandez-Cavero, Vanesa Mantione, Lorenzo Frosini, Lucia University of Bergamo Department of Engineering and Applied Sciences Dalmine Italy Instituto de Tecnología Eléctrica Universitat Politècnica de València Valencia Spain University of Burgos Deparment of Electromechanical Engineering - Electrical Area Burgos Spain University of Pavia Computer and Biomedical Engineering Department of Electrical Pavia Italy

ISBN: (纸本)9798350370607

In this paper considerations about the time-domain amplitudes and phase shift between diagnostic signals measured in induction machines will be presented. In particular, the line to line voltage, stator current and axial and radial stray fluxes have been considered in various conditions. Since the phase shift between signals is rarely considered in the diagnostics of electrical machines, even in multi-sensor system, this represents a quite strong novelty of the presented method. The machine considered, a small-size induction motor, has been fed by the mains and with an open-loop PWM inverter. Tests with different load conditions and with three severity levels of stator inter-turn short circuits are presented. The phase-shifts between the fundamentals and third harmonics of the signals are considered, giving good diagnostic results. © 2024 IEEE.

关键词： Stators

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Adaptive Strategies and Handover Optimization in 5G Networks to Address High Mobility Challenges

Adaptive Strategies and Handover Optimization in 5G Networks...

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2024 International Conference on electrical engineering and Informatics, ICELTICs 2024

作者： Murhaban Syahrial Arif, Teuku Yuliar Arnia, Fitri Doctoral Program School of Engineering Universitas Syiah Kuala Universitas Teuku Umar Departement Information Technology Engineering Banda Aceh Aceh Barat Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9798350366822

This study develops an adaptive handover strategy in 5G networks to tackle high mobility challenges and improve service continuity and quality. The research method uses a 5G network emulator with a topology of four base stations (gNBs) to test user equipment (UE) speeds of 20 km/h and 130 km/h. The adaptive algorithm developed utilizes data from the Received Signal Strength Indicator (RSSI) as well as the speed and direction of user mobility to make optimal handover decisions. The results show that at a speed of 130 km/h, the average handover latency reaches 12 ms, compared to 8 ms at 80 km/h. Additionally, the signal quality (RSSI) is lower at higher speeds, negatively affecting service quality. This adaptive algorithm successfully reduces handover latency and improves the stability and efficiency of the overall network. The testing also indicates that this adaptive algorithm can predict handover targets by considering UE speed and direction and uses hysteresis mechanisms to prevent overly frequent handovers. By employing technologies such as Multiple Input Multiple Output (MIMO) and beamforming, this strategy is expected to maintain high service quality even under high mobility conditions. © 2024 IEEE.

关键词： 5G mobile communication systems

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Offsets Reconstruction Method for Clock Skew Measurement Over High-Jitter Communication

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SN computer Science 2025年第5期6卷 1-14页

作者： Sastra, Nyoman Putra Saputra, Komang Oka Teng, Wei-Chung Study Program of Electrical Engineering Faculty of Engineering Udayana University Jalan Raya Kampus Bukit Jimbaran Bali Badung 80361 Indonesia Department of Computer Science and Information Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Rd Taipei 106 China

Measuring clock skew of devices over a network fully relies on the offsets, the differences between sending and receiving times. Offsets that shape a thick line are the most ideal one as their slope is directly the clock skew sought. When some outliers separate from the thick line due to higher delay jitter, current advanced approaches use the lower bound or the majority of offsets to derive accurate clock skew. However, outliers in offsets that shape parallel dotted lines, reduce the availability of offsets in the lower region, and scatter widely the offsets from their majority zone. These conditions drive the current skew estimation approaches to lose their accuracy. This paper then developed a new method, which reconstructs back the outliers into their origin positions, in order to provide ideal offsets for clock skew measurement. The experimental evaluations have demonstrated that the clock skew accuracy of dotted-lines offsets tampered by outliers was improved from 2.1 to 0.9 ppm by the proposed reconstruction method. For a broader purpose, the reconstruction method has been adjusted to be implemented also on non-dotted-lines offsets. The robustness of the proposed method for this case has also been exhibited by the very ideal reconstructed offsets that shape like a thick line. © The Author(s) 2025.

关键词： Clock skew Delay jitter Dotted lines Hough transform

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Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference

Gaussian Process-based Active Learning for Efficient Cardiov...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Tassi, Stavroula C. Polyzos, Konstantinos D. Fotiadis, Dimitrios I. Sakellarios, Antonis I. Department of Material Science and Engineering Ioannina Greece University of Patras Department of Mechanical and Aeronautics Engineering Patras Greece University of Minnesota Department of Electrical and Computer Engineering MN United States Biomedical Reasearch Institute Ioannina Greece University of Patras Laboratory of Biomechanics and Biomedical Engineering Department of Mechanical and Aeronautics Engineering Patras Greece Ioannina Greece

ISBN: (纸本)9798350337488

Cardiovascular disease (CVD) poses a significant global health challenge, and accurate inference methods are vital for early detection and intervention. However, the quality of prediction relies heavily on the availability of labeled data, which are often limited in medical applications. To cope with the challenge of limited labeled data, we are the first to propose an active learning (AL) approach that leverages a weighted ensemble of Gaussian processes to effectively infer CVD by strategically selecting the few most informative data points to label. Through experiments conducted on the SMARTool dataset, we demonstrate the effectiveness of the advocated approach, achieving superior performance in CVD inference compared to baseline methods. Our findings highlight the potential impact of the proposed AL framework in CVD diagnosis and treatment clinical cases, particularly in scenarios where labeled data are scarce, due to data confidentiality concerns or high sampling costs. © 2023 IEEE.

关键词： CVD inference Ensemble of Gaussian Processes (EGPs) FFR index Gaussian Processes (GPs)

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Hoist Control Stabilization with Real-Time Gyroscopic Data 14

Hoist Control Stabilization with Real-Time Gyroscopic Data

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14th IEEE Integrated STEM Education Conference, ISEC 2024

作者： Yu, Howard Peng, Rui Zheng, Meiyu Huang, Zhilin Tang, Luyi Lanzerotti, Mary Virginia Polytechnic Institute & State University Bradley Department of Electrical and Computer Engineering BlacksburgVA24060 United States Virginia Polytechnic Institute & State University Department of Biomedical Engineering and Mechanics BlacksburgVA24060 United States

ISBN: (纸本)9798350352801

A typical aerial medical evacuation (MEDEVAC) rescue retrieves a patient into the helicopter by shortening a 6-meter-long cable. This paper is dedicated to the design, construction, testing, and analysis of the swing stabilization of a gyroscope-equipped payload with variable length control of the cable. The stabilization algorithm uses real-time gyroscope data to control the hoist. Tracking software is employed to meticulously acquire experimental data from videos of the rescues. These data sets are subsequently analyzed using MATLAB. This paper aims to emphasize the necessity for enhancements in sensor platforms and to establish precise constraints for future rescue scenarios. Testing results for a rescue scenario show that the 6.0 m cable is shortened to approximately 0.2 m in about 75 s in two phases. In the first phase, the cable length decreases to 3.7 m in ≈72 s by shortening the cable at the ends of the swing. In the second phase, the cable is continuously shortened to ≈0.2 m in length from t ≈ 72 s to t ≈ 75 s. The results demonstrate that swing stabilization with reduced swing angle is achieved using variable length control hoisting. © 2024 IEEE.

关键词： MATLAB

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