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2023 European Workshop on Optical Fibre Sensors, EWOFS 2023

作者： Chen, Jun Teng, Chuanxin Kuang, Renfei Wang, Zhuo Hu, Xuehao Ortega, Beatriz Marques, Carlos Li, Xiaoli Min, Rui Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Zhuhai519087 China Guangxi Key Laboratory of Optoelectronic Information Processing School of Optoelectronic Engineering Guilin University of Electronic Technology Guilin541004 China Department of Electromagnetism and Telecommunication University of Mons Boulevard Dolez 31 Mons7000 Belgium ITEAM Research Institute Universitat Politècnica de València Valencia46022 Spain I3N Physics Department Universidade de Aveiro Aveiro3810193 Portugal

ISBN: (纸本)9781510665002

This paper demonstrates a portable optical sensor for human gait monitoring. The device is based on a smartphone and POF sensor specifically designed for use in shoe insoles. The monitoring of multiple sensors by a single smart device is achieved by image segmentation based on Voronoi tessellation, as this work describes in detail. Experimental tests performed with the sensor have demonstrated its ability to provide information on spatial and temporal parameters of gait as well as pressure at different plantar loci. © 2023 SPIE.

关键词： Image segmentation

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Decentralized Trajectory Planning for Formation Flight in Unknown and Dense Environments

Decentralized Trajectory Planning for Formation Flight in Un...

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IEEE/RSJ International Conference on Intelligent robots and Systems (IROS)

作者： Jianxin Zeng Yaonan Wang Zhiqiang Miao Wei He Hesheng Wang Department of Electrical and Information Engineering Hunan University Changsha China National Engineering Research Center for Robot Visual Perception and Control Changsha China School of Intelligence Science and Technology University of Science and Technology Beiing Beijing China Key Laboratory of Intelligent Bionic Unmanned Systems Ministry of Education University of Science and Technology Beijing Beijing China Department of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

For aerial swarms, formation flight has been applied in various scenes. However, most existing works do not consider balancing the conflicting requirements among keeping formation, keeping the smoothness of trajectories, and obstacle avoidance within the limited time. To address this issue, we propose a decentralized trajectory planning framework for formation flight in unknown and dense environments. To ensure that feasible trajectories can be found within the limited time, the formation optimization problem is decoupled into formation affine transformation and iterative trajectory generation. Firstly, the optimization problem based on affine transformation is designed to obtain the optimal affine transformation sequence, which provides the formation reference of trajectory optimization. Secondly, the iterative optimization framework of trajectory planning is designed, which balances the conflicting requirements of formation, smooth flight, and obstacle avoidance. Besides, to escape the local minima caused by non-convex dense environments, the method of topological path planning is designed to provide distinctive initial solutions for trajectory optimization. Finally, the proposed methods are proven to be effective through the simulations and real-world experiments.

关键词： Trajectory planning Planning Iterative methods Collision avoidance Trajectory optimization Intelligent robots

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TagVibra: push the limit of RFID-based vibration sensing

TagVibra: push the limit of RFID-based vibration sensing

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International Conference on Big Data Computing and Communications (BIGCOM)

作者： Jian Li Ping Li Biaokai Zhu Chong Dong Chao Gong Zhao Lv Anhui Province Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Anhui University of Technology Ma’anshan China Shanxi Police College Taiyuan China

RFID-based mechanical vibration detection is considered a promising method for many Internet of Things (IoT) applications. However, existing methods are affected by ambient interference and leakage from the reader signature, which makes it difficult to obtain high-precision detection results. To overcome this limitation, this paper introduces TagVibra, a high-precision non-contact vibration sensing system based on RFID technology. By leveraging the nonlinear effect inside the tag and the modulation mechanism of RFID, TagVibra can achieve sub-millimeter level vibration detection accuracy. We implement TagVibra on our Universal Software Radio Peripheral (USRP) platform and evaluate its performance via experiments. The experimental results show that TagVibra can detect vibration with amplitude as low as 0.3mm, and the average estimation error below 0.7Hz when the vibration frequency is 100Hz.

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Deformable registration framework for glioma images with absent correspondence based on auxiliary-image-aided intensity-consistency constraint

Deformable registration framework for glioma images with abs...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Kun Tang Lihui Wang Menglong Yang Jingwen Xu Xinyu Cheng Jian Zhang Yuemin Zhu Hongjiang Wei Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang China INSA Lyon CNRS Inserm Univ Lyon Lyon France School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Considering the tumor aggressive nature and the significant changes in anatomical structure, aligning the preoperative and follow up scans of glioma patients remains a challenge due to the presence of regions with absent correspondence. To address this challenge, this work proposed a novel bidirectional unsupervised deformable image registration framework for image pairs with missing correspondence based on an auxiliary-image-aided intensity-consistency constraint (ICC) strategy. Specifically, for any fixed and moving image pairs, we introduced an auxiliary image and warped it directly to fixed/moving image or warped it twice through a transition of moving/fixed image. By comparing the difference between these warped images, the weighting maps to identify and exclude regions with absent correspondence between fixed and moving image pairs can be generated. To verify the effectiveness of the proposed framework, we combined it with several deep learning-based registration models and tested it on BraTS-Reg challenge dataset, the results demonstrated that the proposed ICC strategy can improve the registration performance for all the models, with the improvement of average target registration error (TRE) and success rate (SR) being up to 44.9% and 66.7%, respectively. Comparing against the best existing forward-backward consistency strategy for dealing with missing correspondence registration, our auxiliary-image-aided ICC strategy can also decrease average TRE by 2.9%, demonstrating the superiority of the proposed framework. The present work is not limited to the glioma images, it can be used to address the registration problems for any image pairs with absent correspondence or inconsistent intensity.

关键词： Image registration Pathology Deformation Magnetic resonance imaging Anatomical structure Bioinformatics Tumors Biomedical imaging

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An Exploration of the Electrocorticogram Signatures Evoked by Ultrasound Thalamus Stimulation Under Isoflurane Anesthesia in Rats

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IEEE Transactions on Biomedical engineering 2025年 PP卷 PP页

作者： Wang, Zhijie Li, Zhiwei Li, Yingwei Mao, Gengsheng Li, Xiaoli Liang, Zhenhu Jiangsu University of Technology School of Electrical and Information Engineering Changzhou213001 China Yanshan University Institute of Electrical Engineering Qinhuangdao066004 China Yanshan University Institute of Information Science and Engineering Qinhuangdao066004 China First Medical Center of PLA General Hospital Senior Department of Neurosurgery Beijing China Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning IDG/McGovern Institute for Brain Research Beijing100875 China Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province Qinhuangdao066004 China

Objective: The transcranial ultrasound stimulation (TUS) on the thalamus can indirectly induce cortical response. Studies have shown that general anesthetic induced unconsciousness is related to interruption of thalamocortical connectivity. However, the neural mechanism of how anesthesia levels influence cortical responses during ultrasound thalamus stimulation has never been explored yet. And it remains unknown what cortical responses signatures are evoked by ultrasound thalamus stimulation under different anesthesia levels. Methods: We recorded multichannel electrocorticogram (ECoG) evoked by ultrasound thalamus stimulation of rats at various isoflurane concentrations (i.e., 0.5%, 1.0%, 1.5%, and 2.0% (v/v)). We analyzed ECoG signatures in temporal, spatial, and frequency domains by using the ultrasound-evoked potentials (UEPs), omega complexity (OC), and phase amplitude coupling (PAC), respectively. Results: The pattern of UEPs was influenced by the anesthesia level, and the response amplitude of UEPs increased with the increase in anesthesia level (0.5% vs. 1.0% and 1.5% (v/v), p © 1964-2012 IEEE.

关键词： Rats

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E-3DGS: 3D Gaussian Splatting with Exposure and Motion Events

arXiv

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arXiv 2024年

作者： Yin, Xiaoting Shi, Hao Bao, Yuhan Bing, Zhenshan Liao, Yiyi Yang, Kailun Wang, Kaiwei State Key Laboratory of Modern Optical Instrumentation Zhejiang University China School of Robotics and National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China College of Information Science and Electronic Engineering Zhejiang University China The Chair of Robotics AI and Real-Time Systems Technical University of Munich Germany

Achieving 3D reconstruction from images captured under optimal conditions has been extensively studied in the vision and imaging fields. However, in real-world scenarios, challenges such as motion blur and insufficient illumination often limit the performance of standard frame-based cameras in delivering high-quality images. To address these limitations, we incorporate a transmittance adjustment device at the hardware level, enabling event cameras to capture both motion and exposure events for diverse 3D reconstruction scenarios. Motion events (triggered by camera or object movement) are collected in fast-motion scenarios when the device is inactive, while exposure events (generated through controlled camera exposure) are captured during slower motion to reconstruct grayscale images for high-quality training and optimization of event-based 3D Gaussian Splatting (3DGS). Our framework supports three modes: High-Quality Reconstruction using exposure events, Fast Reconstruction relying on motion events, and Balanced Hybrid optimizing with initial exposure events followed by high-speed motion events. On the EventNeRF dataset, we demonstrate that exposure events significantly improve fine detail reconstruction compared to motion events and outperform frame-based cameras under challenging conditions such as low illumination and overexposure. Furthermore, we introduce EME-3D, a real-world 3D dataset with exposure events, motion events, camera calibration parameters, and sparse point clouds. Our method achieves faster and higher-quality reconstruction than event-based NeRF and is more cost-effective than methods combining event and RGB data. By combining motion and exposure events, E-3DGS sets a new benchmark for event-based 3D reconstruction with robust performance in challenging conditions and lower hardware demands. The source code and dataset will be available at https://***/MasterHow/E-3DGS. Copyright © 2024, The Authors. All rights reserved.

关键词： Exposure controls

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MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for Medical Image Segmentation

MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for M...

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New Trends in Computational Intelligence (NTCI), International Conference on

作者： Liangjin Diao Longfeng Shen Jiacong Chen Fangzhen Ge Mengwen Li Anhui Engineering Research Center for Intelligent Computing and Application on Cognitive Behavior (ICACB) College of Computer Science and Technology Huaibei Normal University Huaibei Anhui China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui China

ISBN: (数字)9798331517021

ISBN: (纸本)9798331517038

Recent advancements in CNNs for medical image segmentation have focused on the combination of CNN and Transformer architectures to capture both local and global features. However, challenges remain, such as effectively utilizing fused features at the encoder-decoder bottleneck and addressing blurred object edges in datasets. To tackle these issues, we introduce a multi-scale channel adaptive sensing module, enhancing the model's representational and perceptual capabilities by integrating multi-scale and channel-specific information. Additionally, we propose a cross-perception module and multi-scale segmentation head to improve global coordination and multi-scale information gathering. Experiments on the ACDC and Synapse datasets demonstrate our model's superiority.

关键词： Image segmentation Adaptation models Head Image edge detection Computer architecture Transformers Market research Sensors Synapses Biomedical imaging

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Haploinsufficiency of intraflagellar transport protein 172 causes autism-like behavioral phenotypes in mice through BDNF

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Journal of Advanced Research 2025年 73卷 681-695页

作者： Zheng, Nanxi Luo, Shilin Zhang, Xin Hu, Ling Huang, Muzhi Li, Mingyu McCaig, Colin Ding, Yu-Qiang Lang, Bing Department of Psychiatry National Clinical Research Center for Mental Disorders and National Center for Mental Disorders The Second Xiangya Hospital Central South University Changsha 410011 China Department of Psychiatry Fujian Medical University Affiliated Fuzhou Neuropsychiatric Hospital Fuzhou 350005 China Department of Neurology Xiangya Hospital of Central South University Changsha 410008 China National Clinical Research Center for Geriatric Disorder Central South University Changsha China Engineering Research Center of Human Province in Cognitive Impairment Disorders Changsha 410008 China College of Pharmaceutical Science Zhejiang University of Technology Hangzhou 310014 China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University Shanghai 200433 China School of Medicine Medical Sciences & Nutrition Institute of Medical Sciences University of Aberdeen Foresterhill Scotland Aberdeen AB25 2ZD United Kingdom

Introduction: Primary cilia are hair-like solitary organelles growing on most mammalian cells that play fundamental roles in embryonic patterning and organogenesis. Defective cilia often cause a suite of inherited diseases called ciliopathies with multifaceted manifestations. Intraflagellar transport (IFT), a bidirectional protein trafficking along the cilium, actively facilitates the formation and absorption of primary cilia. IFT172 is the largest component of the IFT-B complex, and its roles in Bardet-Biedl Syndrome (BBS) have been appreciated with unclear mechanisms. Objectives: We performed a battery of behavioral tests with Ift172 haploinsufficiency (Ift172^+/-) and WT littermates. We use RNA sequencing to identify the genes and signaling pathways that are differentially expressed and enriched in the hippocampus of Ift172^+/- mice. Using AAV-mediated sparse labeling, electron microscopic examination, patch clamp and local field potential recording, western blot, luciferase reporter assay, chromatin immunoprecipitation, and neuropharmacological approach, we investigated the underlying mechanisms for the aberrant phenotypes presented by Ift172^+/- mice. Results: Ift172^+/- mice displayed excessive self-grooming, elevated anxiety, and impaired cognition. RNA sequencing revealed enrichment of differentially expressed genes in pathways relevant to axonogenesis and synaptic plasticity, which were further confirmed by less spine density and synaptic number. Ift172^+/- mice demonstrated fewer parvalbumin-expressing neurons, decreased inhibitory synaptic transmission, augmented theta oscillation, and sharp-wave ripples in the CA1 region. Moreover, Ift172 haploinsufficiency caused less BDNF production and less activated BDNF-TrkB signaling pathway through transcription factor Gli3. Application of 7,8-Dihydroxyflavone, a potent small molecular TrkB agonist, fully restored BDNF-TrkB signaling activity and abnormal behaviora

关键词： Autism spectrum disorders Bardet Biedl Syndrome BDNF Intraflagellar transport protein 172 Primary cilia Sonic Hedgehog

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Hybrid Nucleic Acid Detection Approach for Ion Concentration Polarization Enabled Polymerase Chain Reaction with Reduced Cycle Numbers

SSRN

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SSRN 2024年

作者： Yu, Chengzhuang Li, Junwei Meng, Jiyu Qiu, Xinchen Bu, Tianxi Dai, Shijie Li, Shanshan Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions School of Mechanical Engineering Hebei University of Technology Tianjin300132 China Institute of Biophysics School of Science Hebei University of Technology Tianjin300401 China College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300222 China Arizona College of Technology Hebei University of Technology Tianjin300132 China School of Energy and Environmental Engineering Hebei University of Technology Tianjin300132 China Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies Hebei University of Technology Tianjin300132 China

Polymerase chain reaction (PCR) plays important roles in the detection and quantification of nucleic acid targets. To cut-off the detection time, and also to reduce any potential by-products during the thermal cycles, it is required to keep the cycle numbers as few as possible. Here, in this work, a hybrid PCR microfluidic device is proposed to perform a PCR test with only 25 thermal cycles, which are much lower than 35 or 40 cycles in standard operations. With a novel hybrid design, the target nucleic acid molecules were amplified by 25 thermal cycles to avoid any potential by-products. And then the amplified nucleic acid molecules were actively enriched by ion concentration polarization (ICP) effects to increase the local concentration significantly. Owe to the hybrid function of "amplification and active concentration", the PCR- ICP device enables the nucleic acid detection more credible and allows to take a faster PCR test with less thermal cyclings. As a demonstration, meat adulteration experiments were taken to show the sensitivity and lower limit of detection of the hybrid device, verifying the performance of the proposed method. © 2024, The Authors. All rights reserved.

关键词： Polymerase chain reaction

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Prefrontal Internal Event-Driven Analysis of Dynamical Electroencephalographic Biomarkers in Depression During Emotional Auditory Task

SSRN

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SSRN 2024年

作者： Zhao, Qinglin Cui, Kunbo Jiang, Hua Wu, Zhongqing Zhang, Lixin Zhao, Mingqi Hu, Bin Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University Lanzhou730000 China School of Medical Technology Beijing Institute of Technology Beijing100081 China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai200000 China Joint Research Center for Cognitive Neurosensor Technology Lanzhou University Institute of Semiconductors Chinese Academy of Sciences Lanzhou730000 China

The prefrontal cortex is considered as one of the key brain regions for the study of affective dysfunction in depression. The study of neural processes in this region during specific emotional tasks may enhance our understanding on the mechanisms of depression. One powerful, direct and convenient tool is electroencephalography (EEG);yet in many experimental paradigms, the absence of external events limits the effectiveness of resolving such emotional task-specific prefrontal and brain-wide electroencephalographic dynamics. To address this issue, we analyzed 64-channel EEG data acquired from 55 healthy and 55 depressed participants during a three-polar (positive, neutral and negative) emotional auditory task in a prefrontal internal event-driven approach. Specifically, we extracted depression-related prefrontal internal events according to signals acquired from Fp1, Fpz, and Fp2 by statistically comparing the microstates identified with an unsupervised Gaussian mixture model. We then examined such event-related neural dynamics in terms of power change in neural oscillations and cross-oscillation interaction in a reconstructed brain source space. Our results suggested that the prefrontal events can be used to resolve abnormal neural dynamics in depression. Our results revealed emotional process-specific and internal event-related abnormalities dynamically in the brain source space, as evaluated by internal event-related changes in power of neural oscillations and in modulations of low frequency phases to high frequency amplitudes. Overall, our findings present new insights for dynamical electroencephalographic biomarkers in depression, which potentially provide EEG signal decoding solutions for EEG feedback-based closed loop intervention of depression. © 2024, The Authors. All rights reserved.

关键词： Electroencephalography

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