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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Yanjie Xing Weihuang Chen Danlei Yu Xiang Gao Jieting Bao Kedi Xu Department of Biomedical Engineering Qiushi Academy for Advanced Studies (QAAS) Zhejiang Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal Key Laboratory of Biomedical Engineering of Education Ministry Zhejiang University Hangzhou China Institute of Advanced Digital Technology and Instrument Zhejiang University Hangzhou China Zhejiang Provincial Key Laboratory for Network Multimedia Technologies Zhejiang University Hangzhou China Binjiang Institude of Zhejiang University Hangzhou China Nanhu Brain-Computer Interface Institute Hangzhou China Department of Biomedical Engineering Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal Key Laboratory of Biomedical Engineering of Education Ministry Zhejiang University Hangzhou China Qiushi Academy for Advanced Studies (QAAS) Zhejiang University Hangzhou China The State Key Lab of Brain-Machine Intelligence Zhejiang University Hangzhou China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Peripheral nerve modulation has a certain potential in motor recovery, but the majority of systems suffer from the drawback of dead time caused by switching channels to achieve multi-channel stimulation. As a response to this challenge, we have developed a peripheral nerve modulation device with 64-channel recording and 16-channel stimulation without dead time. Through modulation of the rat sciatic nerve, we identified the crucial role of initial phase and amplitude in the outcomes of dual-channel combined stimulation. This design not only enhanced neural activation capabilities with constant power supply but also achieves more precise neural activation and reduces unintentional activation.

关键词： Phase modulation Power supplies Switches Motors Recording Engineering in medicine and biology

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Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications

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Bioelectronic Medicine 2021年第1期7卷 1-11页

作者： Chandrasekaran, Santosh Fifer, Matthew Bickel, Stephan Osborn, Luke Herrero, Jose Christie, Breanne Xu, Junqian Murphy, Rory K. J. Singh, Sandeep Glasser, Matthew F. Collinger, Jennifer L. Gaunt, Robert Mehta, Ashesh D. Schwartz, Andrew Bouton, Chad E. Neural Bypass and Brain Computer Interface Laboratory Feinstein Institutes for Medical Research Northwell Health ManhassetNY United States Research and Exploratory Development Department Johns Hopkins University Applied Physics Laboratory LaurelMD United States The Human Brain Mapping Laboratory Feinstein Institutes for Medical Research Northwell Health ManhassetNY United States Department of Neurosurgery Barbara Zucker School of Medicine at Hofstra/Northwell ManhassetNY United States Department of Neurology Donald and Barbara Zucker School of Medicine at Hofstra/Northwell ManhassetNY United States Departments of Radiology and Psychiatry Baylor College of Medicine HoustonTX United States Department of Neurosurgery Barrow Neurological Institute St. Joseph’s Hospital and Medical Center PhoenixAZ United States Good Shepherd Rehabilitation Hospital AllentownPA United States Departments of Radiology and Neuroscience Washington University in St Louis Saint LouisMO United States Rehabilitation Neural Engineering Labs University of Pittsburgh PittsburghPA United States Department of Physical Medicine and Rehabilitation University of Pittsburgh PittsburghPA United States Department of Bioengineering University of Pittsburgh PittsburghPA United States Center for the Neural Basis of Cognition University of Pittsburgh PittsburghPA United States McGowan Institute of Regenerative Medicine University of Pittsburgh PittsburghPA United States Department of Molecular Medicine Donald and Barbara Zucker School of Medicine at Hofstra/Northwell ManhassetNY United States

Almost 100 years ago experiments involving electrically stimulating and recording from the brain and the body launched new discoveries and debates on how electricity, movement, and thoughts are related. Decades later the development of brain-computer interface technology began, which now targets a wide range of applications. Potential uses include augmentative communication for locked-in patients and restoring sensorimotor function in those who are battling disease or have suffered traumatic injury. Technical and surgical challenges still surround the development of brain-computer technology, however, before it can be widely deployed. In this review we explore these challenges, historical perspectives, and the remarkable achievements of clinical study participants who have bravely forged new paths for future beneficiaries. © 2021, The Author(s).

关键词： Biomedical Engineering/Biotechnology

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A Multi-stage Hemisphere Asymmetry Fusion Network Inspired by the brain for EEG depression detection

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Information Fusion 2025年 124卷

作者： Cheng Cheng Wenzhe Liu Ziyu Jia Wenbo Luo Research Center of Brain and Cognitive Neuroscience Liaoning Normal University Dalian 116029 China Key Laboratory of Brain and Cognitive Neuroscience Liaoning Province China School of Information Engineering Huzhou University Huzhou China Beijing Key Laboratory of Brainnetome and Brain-Computer Interface Institute of Automation Chinese Academy of Sciences Beijing China Brainnetome Center Institute of Automation Chinese Academy of Sciences Beijing China

Depression is a prevalent mental disorder affecting a significant portion of the global population. Electroencephalogram (EEG) signals, with their high temporal resolution and non-invasive nature, have demonstrated effectiveness in depression detection models. However, existing models encounter limitations as EEG signals exhibit complex spatial topological structures and significant temporal dynamics, making it challenging for single-dimensional feature extraction methods to capture depression-related information comprehensively. Moreover, while the brain’s anatomical structure is symmetric, the functional asymmetry between the left and right hemispheres – particularly in depression-related brain activity – poses additional challenges for feature modeling. To this end, this paper proposes a novel Multi-Stage Hemispheric Asymmetry Fusion Network (MSHAF-Net) for depression detection. MSHAF-Net stands out from prior EEG-based methods by introducing a multi-stage progressive strategy that effectively extracts joint spatiotemporal features from the left and right hemispheres. The model utilizes a cross-attention mechanism to enhance the interaction and fusion of hemispheric features, enabling it to better capture the functional asymmetry between hemispheres. Additionally, MSHAF-Net incorporates a maximum mean discrepancy (MMD) loss to model the functional differences between hemispheres, improving the discriminability of depression-related features. Moreover, MSHAF-Net introduces a domain adaptation (DA) to enhance model generalization, mitigating feature shifts caused by individual variability. Quantitative results from extensive experiments on the MODMA and PRED+CT datasets achieve accuracies of 98.94% and 97.69%, outperforming existing state-of-the-art methods by 19.54% and 14.52%. Component-wise ablation reveals that the cross-hemispheric modeling and DA contribute significantly to these gains, confirming the effectiveness of our design in capturing depression-relate

关键词： Feature extraction

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Humidity sensors based on surface-functionalized tunable photonic crystal grating

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Talanta 2025年

作者： Hao Cui Dingwen Hu Tao Yang Chan Huang Zongyin Yang Shurong Dong College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Department of Optical Engineering School of Physics Hefei University of Technology Hefei 230601 China Nanhu Brain-computer Interface Institute Hangzhou 310000 China The State Key Laboratory of Brain–Machine Intelligence Zhejiang University Hangzhou 310027 China

Photonic crystal (PC)-based humidity sensors detect changes in humidity using periodic structural color variations and have significant potential in the humidity detection field. However, current technologies typically rely on observing these structural color changes with the human eye. The human eye has limited color discrimination, thus resulting in insufficient detection accuracy. Meanwhile, viewing angles and ambient lighting can also disrupt observations. Here, we propose a humidity sensor based on surface-functionalized tunable PC grating. The tunable PC grating consists of a 600nm polystyrene (PS) microsphere PC and a humidity-sensitive hydrogel. As ambient humidity increases, the hydrophilic amide groups (–CONH 2 ) inside the hydrogel interact with the hydrogen bonds between water molecules and triggers hydrogel swelling, exerts interfacial stress on the PS microsphere lattice, thus expanding the lattice spacing of the PS microspheres and causing a red shift in the reflected wavelength. Integrating the surface-functionalized tunable PC grating into a Czerny–Turner (C–T) optical system enables us to directly translate humidity into precise spectral shifts, overcoming the limitations of human eye-based observations. Experimental results demonstrate a strong linear response over the range of 24–94% relative humidity (RH), as well as excellent repeatability and long-term stability. We provide an innovative solution for high-precision optical humidity sensing.

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Manipulating Piezoelectric and Electro-Strain Properties of BiFeO3-BaTiO3-Based Ceramics Through Chemical Doping-Controlled Domain-Size Engineering

SSRN

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SSRN 2025年

作者： Lin, Jiamin Liu, Bing Liu, Mengxiang Yang, Shan Zhou, Linming Hong, Zijian Zhu, Xiaoli Wu, Yongjun Li, Juan Huang, Yuhui School of Materials Science and Engineering State Key Laboratory of Silicon and Advanced Semiconductor Materials Cyrus Tang Center for Sensor Materials and Applications Institute of Fundamental and Transdisciplinary Research Zhejiang University Hangzhou310027 China Nanhu Brain-computer Interface Institute Zhejiang Hangzhou311100 China College of Electronic Information and Engineering Hangzhou Dianzi University Zhejiang Hangzhou310018 China Zhejiang Key Laboratory of Advanced Solid State Energy Storage Technology and Applications Taizhou Institute of Zhejiang University Zhejiang Taizhou318000 China School of Engineering Hangzhou City University Zhejiang Hangzhou310015 China College of Materials and Science Engineering Zhejiang University of Technology Zhejiang Hangzhou310006 China

Ferroelectric domains are crucial for the performance of piezoelectric ceramics, as the size and switching dynamics affect polarization response directly, manipulating both ferroelectric and piezoelectric properties. In this study, we achieved BiFeO3-BaTiO3 ceramics with domain sizes from macroscopic to nanoscale by incorporating a small amount of antiferroelectric phase. Contrary to the long-standing belief that smaller ferroelectric domains own lower polarization switching barriers and yield higher piezoelectricity, we found that in chemical doping-controlled domain size engineering, the smaller the domain size, the more difficult it is for polarization switching. Ceramics with the largest domain exhibited superior positive piezoelectric performance due to the sufficient polarization switching and reduced domain wall pinning, achieving a piezoelectric coefficient (d33) of 460 pC/N at 350°C. Middle-sized domains achieved optimal electro-strain performance determined by the trade-off between the domain walls pinning and the increased local tetragonal or orthorhombic symmetries, with a strain (0.29%) and an excellent piezoelectric strain coefficient (d33*) of 726.4 pm/V at 160°C. This work provides novel insights into how domain-size engineering affects domain switching and local distortion, offering guidance for performance optimization of piezoelectric ceramics. © 2025, The Authors. All rights reserved.

关键词： Piezoelectricity

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Targeted transcutaneous cervical spinal cord stimulation promotes lasting upper limb recovery in spinal cord and peripheral nerve injury

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brain Stimulation 2023年第1期16卷 373-373页

作者： Chandrasekaran, Santosh Bhagat, Nikunj Ramdeo, Richard Ebrahimi, Sadegh Sharma, Pawan Stein, Adam Griffin, Doug Harkema, Susan Bouton, Chad Neural Bypass and Brain Computer Interface Laboratory Institute of Bioelectronic Medicine Feinstein Institutes for Medical Research USA Kentucky Spinal Cord Injury Research Center University of Louisville USA Department of Physical Medicine and Rehabilitation Donald and Barbara Zucker School of Medicine at Hofstra USA Northwell Health STARS Rehabilitation USA

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Genetic and clinical features of SLC2A1 -related paroxysmal exercise-induced dyskinesia

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Pediatric Neurology 2025年

作者： Jiao-Jiao Xu Yu-Lan Chen Hao Yu Dian-Fu Chen Hong-Fu Li Zhi-Ying Wu Department of Medical Genetics and Center for Rare Diseases and Department of Neurology in Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province Zhejiang University School of Medicine Hangzhou Zhejiang 310009 China Nanhu Brain-computer Interface Institute Hangzhou Zhejiang 311100 China

Background Paroxysmal exercise-induced dyskinesia (PED) is a rare movement disorder characterized by choreoathetosis and dystonia triggered by sustained exercise, commonly affecting the lower extremities. It is an autosomal dominant disorder genetically linked to mutations in the SLC2A1 gene. The transmembrane protein Glut1, encoded by the SLC2A1 gene, can transport glucose from blood to the brain. Purpose This study aimed to characterize the genetic and clinical features of SLC2A1 -related PED. Methods We reported two Chinese PED families presenting with involuntary movements after prolonged exercise. Whole-exome sequencing was performed on two probands, and co-segregation analysis was subsequently carried out in available family members. Additionally, we summarized and analyzed the genetic and clinical features of SLC2A1 -related PED by retrieving information from the literature. Results Genetic testing identified two missense mutations in SLC2A1 in these families, including a known disease-causing mutation, c.997C>T (p.R333W), and a novel mutation, c.823G>C (p.A275P). Upon review of the literature, mutations in certain regions of the Glut1 protein, particularly in transmembrane segments 3, 4, 5, 7, and 8, together with the intracellular domain, were more frequently seen in PED. Among the various types of epilepsy, absence seizures were the most common in PED patients. Furthermore, familial PED had a later onset and a higher CSF/blood glucose ratio. Patients with missense mutations exhibited a later onset than those with truncated mutations. Conclusion Our study identified a new disease-causing mutation and, through an extensive literature review, provided a detailed genetic and clinical description of PED associated with SLC2A1 mutations.

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Humidity Sensors Based on Surface-Functionalized Tunable Photonic Crystal Grating

SSRN

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SSRN 2025年

作者： Cui, Hao Hu, Dingwen Yang, Tao Huang, Chan Yang, Zongyin Dong, Shurong College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Department of Optical Engineering School of Physics Hefei University of Technology Hefei230601 China Nanhu Brain-computer Interface Institute Hangzhou310000 China The State Key Laboratory of Brain–Machine Intelligence Zhejiang University Hangzhou310027 China

Photonic crystal (PC)-based humidity sensors detect changes in humidity using periodic structural color variations and have significant potential in the humidity detection field. However, current technologies typically rely on observing these structural color changes with the human eye, but the human eye has limited color discrimination, thus resulting in insufficient detection accuracy. Meanwhile, viewing angles and ambient lighting can also disrupt observations. Here, we propose a humidity sensors based on surface-functionalized tunable PC grating. The tunable PC grating consists of a polystyrene (PS) microsphere PC and a humidity-sensitive hydrogel. As ambient humidity increases, the hydrophilic amide groups (–CONH2) inside the hydrogel interacts with the hydrogen bonds between water molecules and triggers hydrogel swelling, exerts interfacial stress on the PS microsphere lattice, thus expanding the lattice spacing of the PS microspheres and causing a red shift in the reflected wavelength. Integrating the surface-functionalized tunable PC grating into a Czerny–Turner (C–T) optical system enables us to directly translate humidity into precise spectral shifts, overcoming the limitations of human eye-based observations. Experimental results demonstrate a strong linear response over the range of 24–94% relative humidity (RH), as well as excellent repeatability and long-term stability. We provide an innovative solution for high-precision optical humidity sensing. © 2025, The Authors. All rights reserved.

关键词： Humidity sensors

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Unsupervised Spike Sorting Using Local Adaptive Projection and Gaussian Mixture Model

Unsupervised Spike Sorting Using Local Adaptive Projection a...

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Chinese Automation Congress (CAC)

作者： Yuli Huang Mengmeng Li Xinyu Liu Lifang Yang Hong Wan School of Electrical Engineering Zhengzhou University Zhengzhou China Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology Zhengzhou China School of Intelligent Manufacturing Huanghuai University Zhumadian China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Many researches in neuroscience rely on the analysis of neuronal spike activities recorded under different behavioral conditions, due to the fact that different types of spikes recorded by multi-channel microelectrode arrays may show specific firing in different cognitive tasks. Therefore, accurate and reliable sorting of spikes plays an important role in the related researches in neuroscience. Based on the nonstationarity and local amplitude jump characteristics of spikes, a novel spikes sorting algorithm based on unsupervised local adaptive projection (LAP) feature selection algorithm and Gaussian mixture model (GMM) clustering algorithm (LAGM) was proposed in this work. Firstly, the adaptive similarity matrix and projection matrix were learned by iterative method to select the features of the original spike waveforms using LAP, and the low-dimensional feature set of the spikes was obtained. Then, these low-dimensional features were clustered for spikes sorting based on GMM. Finally, the feasibility and effectiveness of the LAGM was assessed by simulation data from the publish database, and the practicability was validated by the real signals recorded from the hippocamp region of pigeons under the free-foraging with the GMM clustering based on principal component analysis (PCA) dimension reduction and K-means clustering based on LAP feature selection as the algorithms for comparison. Experimental results indicated that the proposed LAGM in this paper shown high accuracy for spike sorting, which provided an effective means for the reliable analysis of spike signals.

关键词： Feature extraction Clustering algorithms Sorting Neurons Reliability Neuroscience Microelectrodes

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Functional Connection Analysis in Nidupallium Caudolaterale of Pigeons During the Operant Conditioning Learning Process 12

Functional Connection Analysis in Nidupallium Caudolaterale ...

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12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Liang, You Li, Mengmeng Yang, Lifang Shang, Zhigang Wan, Hong Industrial Technology Research Institute Zhengzhou University Zhengzhou450001 China School of Electrical Engineering Zhengzhou University Zhengzhou450001 China Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology Zhengzhou450001 China

ISBN: (纸本)9781728148526

The avian nidupallium caudolaterale (NCL), a key region of cognitive learning process, it is believed that it play an important role in the process of operational conditioned learning. To reveal the changes of neural activity in operant conditioning learning process, the experimental paradigms of operant conditioning are designed in this paper. The behavioral data and local field potential (LFP) signals of three experimental periods (induction, acquisition and extinction) from the NCL of three pigeons are recorded. Then, on the basis of coherence calculation, NCL functional networks in specific frequency bands (30-60 Hz) during three experimental periods are constructed, then we analyze and compare the topology characteristics of the network. The experimental results of behavioral and LFP data analysis indicate that during the period of induction, pigeons do not establish stable operant conditioning relationship, and the connection of the network is sparse, in which the connection strength and information transmission efficiency are at a low level. In the acquisition period, pigeons can establish this relationship through learning, the functional network connection becomes tighter, and the connection strength and information transmission efficiency are significantly improved. In the extinction period in which the operant conditioning relationship is destroyed, the functional connection is weakened. These results show that pigeons can establish stable operant conditioning relationship through learning, and strengthen the functional connection of NCL, making the information transmission more efficient. This paper provides basic electrophysiological experimental evidence for further revealing the dynamic functional connection mechanism in NCL of pigeons. © 2019 IEEE.

关键词： Electrophysiology

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