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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Tai, Pengrui Yang, Jingcheng Qi, Shaowen Li, Guanglin Fu, Yunfa Li, Yongcheng Kunming University of Science and Technology Kunming China Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems SIAT-CAS China Cas Key Laboratory of Human-Machine Intelligence-Systems SIAT-CAS China

ISBN: (纸本)9798350371499

Visual Imagery (VI) can be defined as the manipulation of visual information derived from memory rather than perception. Currently, the brain responses underlying imitation and associative VI are not clear. In this study, we explore the differences from imitation to associative VI on the brain responses based on EEG signals. In this study, eight participants were instructed to observe visual cues from three predefined images or characters (tree, computer, or sphere), and then imagine the same cues. The results indicate that there is a significant difference in power intensity among electrode channels in the occipital lobe, posterior parietal lobe, and temporal lobe during the imagination phase between imitative tasks and associative tasks, as revealed by t-tests (p © 2024 IEEE.

关键词： Long short-term memory

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Single-Wavelength Laminar Optical Tomography for In Vivo Microvascular Three-Dimensional Imaging 46

Single-Wavelength Laminar Optical Tomography for In Vivo Mic...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Cui, Han Han, Dewei Liu, Wenquan Deng, Xinping Xin, Zhixuan Li, Guanglin Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Shenzhen China

ISBN: (纸本)9798350371499

Laminar Optical Tomography (LOT) is a promising non-invasive technique for three-dimensional imaging of complex biological structures, combining high resolution and deep penetration. In this study, a LOT system was assembled using a 520nm continuous-wave laser, exploiting the contrast mechanism provided by the unique optical absorption coefficient of hemoglobin at this wavelength for microvascular imaging. The system utilizes raster scanning to illuminate the target tissue's surface, capturing backscattered light intensity with a multi-channel Photomultiplier Tubes. The inverse problem of light propagation within the tissue is solved to reconstruct a three-dimensional image of microvasculature. Phantom and in-vivo rat ear results demonstrate the system's ability to image micro vessels with diameters of several hundred micrometers within the tissue. The implemented LOT system, known for its simplicity and cost-effectiveness, showcases its potential for applications in microvascular physiological and pathological research, as well as clinical diagnostics. © 2024 IEEE.

关键词： Clinical research

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A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals

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IEEE Journal of Biomedical and Health Informatics 2023年 PP卷 1-12页

作者： Ahmad, Ijaz Wang, Xin Javeed, Danish Kumar, Prabhat Samuel, Oluwarotimi Williams Chen, Shixiong CAS Key Laboratory of Human-Machine Intelligence Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China

Early detection and proper treatment of epilepsy is essential and meaningful to those who suffer from this disease. The adoption of deep learning (DL) techniques for automated epileptic seizure detection using electroencephalography (EEG) signals has shown great potential in making the most appropriate and fast medical decisions. However, DL algorithms have high computational complexity and suffer low accuracy with imbalanced medical data in multi seizure-classification task. Motivated from the aforementioned challenges, we present a simple and effective hybrid DL approach for epileptic seizure detection in EEG signals. Specifically, first we use a K-means Synthetic minority oversampling technique (SMOTE) to balance the sampling data. Second, we integrate a 1D Convolutional Neural Network (CNN) with a Bidirectional Long Short-Term Memory (BiLSTM) network based on Truncated Backpropagation Through Time (TBPTT) to efficiently extract spatial and temporal sequence information while reducing computational complexity. Finally, the proposed DL architecture uses softmax and sigmoid classifiers at the classification layer to perform multi and binary seizure-classification tasks. In addition, the 10-fold cross-validation technique is performed to show the significance of the proposed DL approach. Experimental results using the publicly available UCI epileptic seizure recognition data set shows better performance in terms of precision, sensitivity, specificity, and F1-score over some baseline DL algorithms and recent state-of-the-art techniques. IEEE

关键词： Feature extraction

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Spasticity assessment with muscle coactivation of elbow flexors during passive stretch in Post-stroke Hemiplegia

Spasticity assessment with muscle coactivation of elbow flex...

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45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023

作者： Wang, Hui Geng, Yanjuan Fang, Peng Li, Guanglin Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China

ISBN: (纸本)9798350324471

the assessment of muscle properties is an essential prerequisite in the treatment of post-stroke muscle spasticity. Previous studies have shown that muscle coactivation, which reflects the simultaneous activation of agonist and antagonist muscle groups, is associated with muscle spasticity during voluntary contraction. However, current spasticity assessment approaches do not often consider muscle coactivation for passive contraction measured with surface electromyography (sEMG). The purpose here is to evaluate the validity and reliability of muscle co-activation based on sEMG for assessing spasticity of post-stroke patients. This study was conducted on 39 chronic hemiplegia post-stroke patients with varying degrees of elbow flexor spasticity. The severity of spasticity was assessed with Modified Ashworth Scale (MAS). The patients produced elbow flexion passively on affected arm. Two-channel surface sEMG recordings were acquired simultaneously for the biceps and triceps muscles. The effectiveness and reliability of the EMG-based spasticity assessment method were evaluated using Spearman's correlation analysis and intra class correlation coefficients (ICCs). The results showed that there was a statistically significant positive relationship between the level of activity and the coactivation index (R=0.710, P=0.003), while the ICCs for intra trial measures ranged between 0.928 and 0.976. Muscle coactivation is a promising tool for continuously quantifying muscle spasticity in post-stroke patients, suggesting that the EMG-based muscle coactivation index could be useful for assessing motor function. © 2023 IEEE.

关键词： Muscle

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Enhancing Autonomous Vehicle Safety Based on Operational Design Domain Definition, Monitoring, and Functional Degradation: A Case Study on Lane Keeping System

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-15页

作者： Jiang, Zhengmin Pan, Wenbo Liu, Jia Han, Yunjie Pan, Zhongmin Li, Huiyun Pan, Yi Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems China

Autonomous vehicles encounter safety challenges in dynamic and unpredictable environments at present. To address this issue, this paper introduces a series of safety mechanisms related to the Operational Design Domain (ODD) for defining, monitoring, and implementing functional degradation strategies of lane-keeping systems. Initially, causal inference and vehicle dynamics stability theory are employed to establish the ODD space. Subsequently, a counterfactual-based lane detection monitor is developed, utilizing structural equations to instantiate causal relationships between lane detection accuracy and perception-related ODD elements. Simultaneously, a lateral control monitoring method is introduced through the fitting of stable boundary parameters. Functional degradation maneuvers are triggered upon any warning from ODD monitoring. To strengthen the quantitative analysis of the safety benefits of the presented mechanisms, a Kriging-based Subset Simulation (KSS) algorithm is proposed. This algorithm requires only 11.96% to 13.02% of the computing resources compared to standard subset simulation technology. Experimental results demonstrate the potential of our ODD definition, monitoring, and functional degradation strategy approach in significantly reducing lane departure rates from 1.01×10-3 to 6.82×10-6. Overall, our research introduces an innovative, interpretable, and scalable analytical framework for the safety enhancement of autonomous vehicles. IEEE

关键词： Autonomous vehicles

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Exploring contextual priors for real-world image super-resolution

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Computational Visual Media 2025年第1期11卷 159-177页

作者： Shixiang Wu Chao Dong Yu Qiao Guangdong–Hong Kong–Macao Joint Laboratory of Human–Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Shanghai AI Laboratory ShanghaiChina.

Real-world blind image super-resolution is a challenging problem due to the absence of target high resolution images for *** by the recent success of the single image generation based method SinGAN,we tackle this challenging problem with a refined model SR-SinGAN,which can learn to perform single real image ***,we empirically find that downsampled LR input with an appropriate size can improve the robustness of the generation ***,we introduce a global contextual prior to provide semantic *** helps to remove distorted pixels and improve the output ***,we design an image gradient based local contextual prior to guide detail *** can alleviate generated artifacts in smooth areas while preserving rich details in densely textured regions(e.g.,hair,grass).To evaluate the effectiveness of these contextual priors,we conducted extensive experiments on both artificial and real *** show that these priors can stabilize training and preserve output fidelity,improving the generated image *** furthermore find that these single image generation based methods work better for images with repeated textures compared to general images.

关键词： unsupervised learning blind super-resolution image context image generation

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A Prosthetic Hand System with human-Like Grasping by Combining EMG and Visual Information 30

A Prosthetic Hand System with Human-Like Grasping by Combini...

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30th International Conference on Mechatronics and machine Vision in Practice, M2VIP 2024

作者： Zheng, Yue Chen, Xinxing Tian, Lan Li, Xiangxin Zhang, Haoshi Jiang, Xugang Li, Guanglin Fu, Chenglong Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Shenzhen518055 China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen518055 China Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems China

ISBN: (纸本)9798350391916

This paper proposed a novel prosthetic hand system integrated with a designed hybrid control method for achieving human-like grasping. The system design has been elaborated, including the mechanism design of a humanoid prosthetic hand equipped with multimodal sensing capabilities, a multi-channel EMG collector, a sensory feedback device, and a real-time central processing unit. A hybrid control method that combines electromyogram (EMG) and visual information was proposed to recognize the control intention of the system user. Preliminary verification of grasping experiments had been conducted, which proved the effectiveness of the prosthetic hand system and the hybrid control method. The development of this system aims to enhance the control performance and perceptual interaction capabilities of prosthetic hands while addressing limitations encountered in traditional myoelectric prosthetic hands. Besides, it could serve as a validation platform for assessing the control performance of diverse algorithms applied in practical applications. © 2024 IEEE.

关键词： Sensory feedback

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Organic-inorganic hybrid hole transport layers with SnS doping boost the performance of perovskite solar cells

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Journal of Energy Chemistry 2022年第5期31卷 637-645页

作者： Xiaolu Zheng Haibing Wang Feihong Ye Cong Chen Weijun Ke Wenjing Zhang Chuanxin He Yanlong Tai Guojia Fang College of Chemistry and Environmental Engineering Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060GuangdongChina Shenzhen Institute Wuhan UniversityShenzhen 518057GuangdongChina Key Laboratory of Human-Machine Intelligence-Synergy Systems of Chinese Academy of Sciences and Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055GuangdongChina

Perovskite solar cells(PSCs) have demonstrated excellent photovoltaic performance which currently rival the long-standing silicon solar cells’ efficiency. However, the relatively poor device operational stability of PSCs still limits their future commercialization. Binary sulfide is a category of materials with promising optoelectrical properties, which shows the potential to improve both the efficiency and stability of *** we demonstrate that the inorganic tin monosulfide(Sn S) can be an efficient dopant in 2,2’,7,7’-tet rakis(N,N-di-p-methoxy-phenylamine)-9,9’-spirobifluorene(spiro-OMe TAD) to form a composite hole transport layer(HTL) for PSCs. Sn S nanoparticles(NPs) synthesized through a simple chemical precipitation method exhibit good crystallization and suitable band matching with the perovskites. The introduction of Sn S NPs in Spiro-OMTAD HTLs enhanced charge extraction, reduced trap state density, and shallowed trap state energy level of the devices based on the composite HTLs. Therefore, the resulting solar cells employing Sn S-doped spiro-OMe TAD HTLs delivered an improved stabilized power output efficiency of 21.75% as well as enhanced long-term stability and operational stability. Our results provide a simple method to modify the conventional spiro-OMe TAD and obtain PSCs with both high efficiency and good stability.

关键词： Perovskite solar cells SnS nanoparticles Trap state passivation Stability

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A Review of State-of-the-arts Sensing Techniques for the Ultra-early Screening of Cerebral Palsy

A Review of State-of-the-arts Sensing Techniques for the Ult...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Zhuang, Yunji Zhou, Hao Zhang, Huiping Chen, Yanni Wang, Lin Chinese Academy of Sciences Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen518055 China Guangdong-Hong Kong-Macau Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China Xi'an Jiaotong University Children's Hospital Xi'an710002 China

ISBN: (纸本)9798350327182

Cerebral palsy (CP) is characterized by neuromotor disorders. It remains a huge challenge for ultra-early screening of CP. So far, the diagnosis of CP is mainly based on a combination of neuromotor assessment methods, magnetic resonance imaging (MRI) and clinical history. However, subjective errors are highly likely to be introduced in the process of CP screening due to disparities in clinicians' professional backgrounds, working abilities and academic levels. Cutting-edge sensing techniques have been unveiled in the field of ultra-early CP prediction which provides objective diagnosis with quantified output information by obtaining motion capture, classification, and recognition. It is necessary to contrast the strengths, weaknesses, and potential of these techniques and how to apply them in the ultra-early screening of CP. This study compares and analyzes the latest and advanced sensing methods and discusses their future applications in infantile CP screening. The work could provide technical suggestions and clinical guidance for early intervention in the field of ultra-early CP screening later on. © 2023 IEEE.

关键词： Diseases

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Function-oriented optimization design method for underactuated tendon-driven humanoid prosthetic hand

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Frontiers of Mechanical Engineering 2022年第3期17卷 75-89页

作者： Yue ZHENG Xiangxin LI Lan TIAN Guanglin LI CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology(SIAT)Chinese Academy of Sciences(CAS)Shenzhen518055China Shenzhen College of Advanced Technology University of Chinese Academy of SciencesShenzhen518055China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen518055China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055China

The loss of hand functions in upper limb amputees severely restricts their mobility in daily *** a humanoid prosthetic hand would be an effective way of restoring lost hand *** a prosthetic hand design,replicating the natural and dexterous grasping functions with a few actuators remains a big *** this study,a function-oriented optimization design(FOD)method is proposed for the design of a tendon-driven humanoid prosthetic *** optimization function of different functional conditions of full-phalanx contact,total contact force,and force isotropy was constructed based on the kinetostatic model of a prosthetic finger for the evaluation of grasping *** a genetic algorithm,the optimal geometric parameters of the prosthetic finger could be determined for specific functional *** results reveal that the structure of the prosthetic finger is significantly different when designed for different functional requirements and grasping target sizes.A prosthetic finger was fabricated and tested with grasping *** mean absolute percentage error between the theoretical value and the experimental result is less than 10%,demonstrating that the kinetostatic model of the prosthetic finger is effective and makes the FOD method *** study suggests that the FOD method enables the systematic evaluation of grasping performance for prosthetic hands in the design stage,which could improve the design efficiency and help prosthetic hands meet the design requirements.

关键词： function-oriented tendon driven prosthetic hand optimization humanoid underactuated

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