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学者姓名：高跃明
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Abstract ：
Intracardiac wireless communication is crucial for the development of multi-chamber leadless cardiac pacemakers (LCP). However, the time-varying characteristics of intracardiac channel pose major challenges. As such, mastering the dynamic conduction properties of the intracardiac channel and modeling the equivalent time-varying channel are imperative for realizing LCP multi-chamber pacing. In this paper, we present a limiting volume variational approach based on the electrical properties of cardiac tissues and trends in chamber volume variation. This approach was used to establish a quasi-static and a continuous time-varying equivalent circuit model of an intracardiac channel. An equivalence analysis was conducted on the model, and a discrete time-varying equivalent circuit phantom grounded on the cardiac cycle was subsequently established. Moreover, an ex vivo cardiac experimental platform was developed for verification. Results indicate that in the frequency domain, the congruence between phantom and ex vivo experimental outcomes is as high as 94.3%, affirming the reliability of the equivalent circuit model. In the time domain, the correlation is up to 75.3%, corroborating its effectiveness. The proposed time-varying equivalent circuit model exhibits stable and standardized dynamic attributes, serving as a powerful tool for addressing time-varying challenges and simplifying in vivo or ex vivo experiments. IEEE
Keyword ：
Blood Blood Equivalent circuits Equivalent circuits Frequency measurement Frequency measurement Heart Heart Integrated circuit modeling Integrated circuit modeling intracardiac circuit phantom intracardiac circuit phantom intracardiac communication intracardiac communication leadless pacemakers leadless pacemakers Myocardium Myocardium Pacemakers Pacemakers time-varying equivalent model time-varying equivalent model
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| GB/T 7714 | Wei, Z. , Wang, H. , Li, D. et al. A Time-varying Equivalent Circuit Modeling and Measuring Approach for Intracardiac Communication in Leadless Pacemakers [J]. | IEEE Transactions on Biomedical Circuits and Systems , 2024 , 18 (4) : 1-13 . |
| MLA | Wei, Z. et al. "A Time-varying Equivalent Circuit Modeling and Measuring Approach for Intracardiac Communication in Leadless Pacemakers" . | IEEE Transactions on Biomedical Circuits and Systems 18 . 4 (2024) : 1-13 . |
| APA | Wei, Z. , Wang, H. , Li, D. , Vai, M.I. , Pun, S.H. , Yang, J. et al. A Time-varying Equivalent Circuit Modeling and Measuring Approach for Intracardiac Communication in Leadless Pacemakers . | IEEE Transactions on Biomedical Circuits and Systems , 2024 , 18 (4) , 1-13 . |
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The technological challenge to realize wearable medical devices is to ensure low power consumption and reliable transmission of communication. Magnetic resonance human body communication (MR HBC) provides ideas to improve the transmission effect. Although the coil's resonance properties have been proposed for MR HBC, the modeling and impedance matching for this method are still in the exploratory stage. However, different human impedances affect the coil resonance frequency to varying extents, leading to individual variability in the degree of magnetic coupling. This paper analyzes the influence of human tissues on the coil through finite element method (FEM) simulation modeling. This effect can be eliminated by employing a dual tunable capacitor matching method based on the field-circuit combination. By dynamically adjusting the values of the dual tunable capacitors in real-time, the human body and the coil can be tuned to a resonant state, effectively improving the degree of magnetic coupling. The results reveal that the proposed method enhances the communication gain by 38.91-42.02 dB at the preset frequency for different human tissues. In vivo experiments verify that the method eliminates the effect of different human impedances on the coil, which is of great significance for further improving the performance of MR HBC.
Keyword ：
dual tunable capacitors dual tunable capacitors field-circuit combination field-circuit combination finite element method (FEM) finite element method (FEM) impedance matching impedance matching individual variability individual variability Magnetic resonance human body communication (MR HBC) Magnetic resonance human body communication (MR HBC)
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| GB/T 7714 | Huang, Lixuan , Wei, Ziliang , Chen, Bingheng et al. Field-Circuit Combination Method for Solving the Detuning Problem of Magnetic Resonance Human Body Communication [J]. | IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY , 2024 , 8 (2) : 94-101 . |
| MLA | Huang, Lixuan et al. "Field-Circuit Combination Method for Solving the Detuning Problem of Magnetic Resonance Human Body Communication" . | IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY 8 . 2 (2024) : 94-101 . |
| APA | Huang, Lixuan , Wei, Ziliang , Chen, Bingheng , Pun, Sio Hang , Vai, Mang, I , Gao, Yueming . Field-Circuit Combination Method for Solving the Detuning Problem of Magnetic Resonance Human Body Communication . | IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY , 2024 , 8 (2) , 94-101 . |
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Real -time emotion recognition via wearable devices is a pivotal component of health monitoring and human- computer interaction. To realize this objective, a spiking feed-forward neural networks (SFNNs) model was developed, which leverages six physiological signals from the psychophysiology of positive and negative emotions (POPANE) dataset to construct feature vectors. By converting well-trained artificial neural networks (ANNs) to spiking neural networks (SNNs) and employing weight normalization techniques, the SFNNs with data-based normalization achieved a maximum classification accuracy of 88.17% at a maximum input firing rate of 1000 Hz. In comparison to existing models, the SFNNs model integrates multimodal physiological signals to classify six discrete emotions, demonstrating high classification performance and rapid convergence speed, rendering it ideal for real -time emotion recognition. This work has potential applications in psychological diagnosis and medical rehabilitation through the use of wearable wristbands.
Keyword ：
Emotion recognition Emotion recognition Feature extraction Feature extraction Multimodal physiological signals Multimodal physiological signals Spiking feed-forward neural networks Spiking feed-forward neural networks Time series Time series Wearable wristbands Wearable wristbands
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| GB/T 7714 | Yang, Xudong , Yan, Hongli , Zhang, Anguo et al. Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks [J]. | BIOMEDICAL SIGNAL PROCESSING AND CONTROL , 2024 , 91 . |
| MLA | Yang, Xudong et al. "Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks" . | BIOMEDICAL SIGNAL PROCESSING AND CONTROL 91 (2024) . |
| APA | Yang, Xudong , Yan, Hongli , Zhang, Anguo , Xu, Pan , Pan, Sio Hang , Vai, Mang I. et al. Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks . | BIOMEDICAL SIGNAL PROCESSING AND CONTROL , 2024 , 91 . |
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随着遥感成像技术的不断进步,遥感图像的舰船目标检测已成为确保海上运输安全和效率的关键手段,对海上交通、环境保护及国家安全至关重要.然而,由于舰船目标尺度差异大、背景复杂等问题,现有单一检测模型的方法过度依赖训练数据,无法适应尺度多变的舰船目标.提出了一种多模型协同训练的框架,利用多个已训练好的舰船检测模型作为辅助网络,通过知识迁移的方式辅助优化目标数据的主网络.首先,通过三元关系约束建立辅助网络与主网络间的分布知识传递;其次,采用软标签引导策略整合辅助网络中的标签知识,提高舰船检测的准确性.实验结果表明:相较于现有主流方法,所提方法在DOTA和xView数据集上展示了较好的性能,克服了单一模型的局限性,为遥感图像的目标检测提供了新的解决思路.
Keyword ：
多尺度表达 多尺度表达 多模型协同 多模型协同 目标检测 目标检测 知识融合 知识融合 舰船识别 舰船识别
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| GB/T 7714 | 肖欣林 , 施伟超 , 郑向涛 et al. 基于多模型协同的舰船目标检测 [J]. | 航空学报 , 2024 , 45 (14) : 73-83 . |
| MLA | 肖欣林 et al. "基于多模型协同的舰船目标检测" . | 航空学报 45 . 14 (2024) : 73-83 . |
| APA | 肖欣林 , 施伟超 , 郑向涛 , 高跃明 , 卢孝强 . 基于多模型协同的舰船目标检测 . | 航空学报 , 2024 , 45 (14) , 73-83 . |
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Out-To-in (O2I) body wireless communication is crucial for achieving personalized parameter modulation and ensuring reliable cardiac rhythm management in leadless cardiac pacemakers. Compared to traditional radio frequency (RF) wireless communication technology, magnetic resonance coupled human communication (MRC-HBC) technology is a promising method of O2I communication that utilizes human tissue as a conduction medium for electrical signals. In this paper, we present an O2I body communication method that combines low power consumption and high reliability for leadless cardiac pacemakers to enhance the performance of programmed management of leadless cardiac pacemakers (LCPs) and prolong the operating life of the pacemakers. Based on the dielectric properties of human tissues, a transceiver coil was designed for executing O2I body magnetic resonant coupling signal transmission. An O2I body multilayer electromagnetic model for finite element numerical computation was further constructed, and a chest phantom experimental platform was built for mutual verification. The results show that the highest channel gains of simulation and phantom experiment is-35.02 dB @ 13.56 MHz and-27.84 dB @ 13.56 MHz respectively, when the relative distance between the transceiver coils is in the range of 8-12 cm, which represents a significant advantage over the RF wireless communication methods used in previous studies. © 2024 IEEE.
Keyword ：
leadless pacemakers leadless pacemakers magnetic resonant coupling magnetic resonant coupling programmable control programmable control wireless communication wireless communication
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| GB/T 7714 | Yang, S. , Wei, Z. , Chen, L. et al. A Preliminary Exploration of Magnetic Resonance Coupled Human Body Communication in Out-To-In Body Transmission for Leadless Pacemakers [未知]. |
| MLA | Yang, S. et al. "A Preliminary Exploration of Magnetic Resonance Coupled Human Body Communication in Out-To-In Body Transmission for Leadless Pacemakers" [未知]. |
| APA | Yang, S. , Wei, Z. , Chen, L. , Liu, H. , Pun, S.H. , Vai, M.I. et al. A Preliminary Exploration of Magnetic Resonance Coupled Human Body Communication in Out-To-In Body Transmission for Leadless Pacemakers [未知]. |
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Transcutaneous auricular vagus nerve stimulation (taVNS), in addition to its application in treating specific disorders such as epilepsy, has shown promise in aiding the functional rehabilitation of the upper limb. Most patients with upper limb dysfunction have brain lesions and structural damage to brain networks. By conducting structural analysis of brain networks through electroencephalogram (EEG), we can investigate the effects of taVNS on the cortex directly from the source of the disease, offering a unique, bioelectrical perspective. To investigate the impact of taVNS on the neuromodulated upstream brain structures and to analyze the correlation between taVNS and the functional rehabilitation of the upper limbs, we proposed an analytical approach incorporating the network structure analysis. We conducted power spectra and phase lag index (PLI) calculations on experimentally collected EEG data and further analyzed network topology using graph theory. The results showed that compared with prestimulation, the relative power decreased in low frequencies and increased in high frequencies ( p < 0.05 ). In the alpha frequency band, the PLI showed an increasing trend ( p = 0.03), the minimum spanning tree (MST) analysis showed that the network topology became more integrated, and there were no regular changes observed in the control data ( p > 0.05). In this work, we found that taVNS activates cortical motor areas and leads to stable changes in PLI and network structure in the alpha frequency band. The mechanisms through which taVNS modulates the power spectrum, alters connectivity, and enhances network structure integration in rehabilitation therapy have been revealed as having a positive impact on motor function recovery, providing valuable implications for the clinical application of taVNS in upper limb functional rehabilitation.
Keyword ：
Electroencephalogram (EEG) Electroencephalogram (EEG) Electroencephalography Electroencephalography Epilepsy Epilepsy minimum spanning tree (MST) minimum spanning tree (MST) Network topology Network topology Pain Pain phase lag index (PLI) phase lag index (PLI) Sensors Sensors Spectral analysis Spectral analysis Stroke (medical condition) Stroke (medical condition) transcutaneous auricular vagus nerve stimulation (taVNS) transcutaneous auricular vagus nerve stimulation (taVNS)
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| GB/T 7714 | Ma, Wei , Xu, Peitao , Xu, Pan et al. Exploring the Physiological Effect of taVNS on Upper Limb Functional Rehabilitation [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (7) : 10691-10699 . |
| MLA | Ma, Wei et al. "Exploring the Physiological Effect of taVNS on Upper Limb Functional Rehabilitation" . | IEEE SENSORS JOURNAL 24 . 7 (2024) : 10691-10699 . |
| APA | Ma, Wei , Xu, Peitao , Xu, Pan , Zhou, Junwei , Vasic, Zeljka Lucev , Cifrek, Mario et al. Exploring the Physiological Effect of taVNS on Upper Limb Functional Rehabilitation . | IEEE SENSORS JOURNAL , 2024 , 24 (7) , 10691-10699 . |
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This article presents a novel millimeter-wave (mm-wave) radar-based continuous motion detection approach called mmCMD for the long-term care of the elderly. The proposed mmCMD visualizes the micro-Doppler signatures of continuous motions generated from millimeter radar as images, which are then analyzed by an object detection network for continuous motion detection. To improve the imaging quality of micro-Doppler signatures, a dynamic feature visualization (DFV) method is proposed by selectively mapping the micro-Doppler matrix (MDM) elements with significant values, highlighting human motion to enhance subsequent detection network's accuracy in capturing the details of the motion. Furthermore, a novel detection network is designed for the visualized micro-Doppler images by combining the specially designed fusion squeeze-and-excitation (FSE) module with the coordinate attention (CA) into the YOLOv5 architecture, which is distinct from prior works that overlook global contextual information. Experimental results demonstrate that the proposed mmCMD achieves a mean average precision (mAP) of 93% at the intersection over union (IoU) thresholds from 0.5 to 0.95 and an F1 score of 99% for 12 actions, which makes it a promising solution for remotely monitoring and detecting elderly individuals' activities to enhance safety and risk prevention capabilities.
Keyword ：
Continuous human motion detection Continuous human motion detection frequency-modulated continuous-wave (FMCW) radar frequency-modulated continuous-wave (FMCW) radar micro-Doppler effect micro-Doppler effect object detection object detection YOLOv5 YOLOv5
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| GB/T 7714 | Xu, Zhimeng , Ding, Junyin , Zhang, Shanshan et al. mmCMD: Continuous Motion Detection From Visualized Radar Micro-Doppler Signatures Using Visual Object Detection Techniques [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (3) : 3394-3405 . |
| MLA | Xu, Zhimeng et al. "mmCMD: Continuous Motion Detection From Visualized Radar Micro-Doppler Signatures Using Visual Object Detection Techniques" . | IEEE SENSORS JOURNAL 24 . 3 (2024) : 3394-3405 . |
| APA | Xu, Zhimeng , Ding, Junyin , Zhang, Shanshan , Gao, Yueming , Chen, Liangqin , Vasic, Zeljka Lucev et al. mmCMD: Continuous Motion Detection From Visualized Radar Micro-Doppler Signatures Using Visual Object Detection Techniques . | IEEE SENSORS JOURNAL , 2024 , 24 (3) , 3394-3405 . |
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Implantable capacitive intrabody communication is a wireless communication method that utilizes capacitive coupling as a way for the implants to communicate between each other as well as with the devices that are placed on the body. Since there are several possible configurations, such as in-body to on-body (IB2OB) communication and on-body to in-body (OB2IB) communication, it is important to investigate how the communication channel behaves for each configuration. Therefore, in this paper, a two-layer 3D model of the upper part of the leg between the knee and ankle has been created for the measurement purposes. The phantom consists of an outer layer that mimics the fat tissue with a very low conductivity and an inner layer that has a conductivity like the muscle. During the measurements, one pair of electrodes with an insulated ground electrode was inserted into the muscle layer and connected to the transmitter, while the other pair of the electrodes was placed on the phantom and connected to the receiver (IB2OB). After the IB2OB measurements were completed, the transmitter and receiver devices were swapped to measure the OB2IB scenario. The results show that changes in the configuration lead to negligible difference in the measurement results, i.e. the system is reciprocal. Moreover, a high-pass profile was observed for the frequency range from 100 kHz to 84 MHz. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keyword ：
capacitive intrabody communication capacitive intrabody communication implants implants in-body devices in-body devices on-body devices on-body devices transmission measurements transmission measurements
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| GB/T 7714 | Roglić, M. , Klaić, L. , Wei, Z. et al. Comparison of Different Configurations for the Implantable Capacitive Intrabody Communication on a Two-Layer Phantom [未知]. |
| MLA | Roglić, M. et al. "Comparison of Different Configurations for the Implantable Capacitive Intrabody Communication on a Two-Layer Phantom" [未知]. |
| APA | Roglić, M. , Klaić, L. , Wei, Z. , Gao, Y. , Vasić, Ž.L. . Comparison of Different Configurations for the Implantable Capacitive Intrabody Communication on a Two-Layer Phantom [未知]. |
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In this paper a decomposition of isometric high-density surface electromyography (HDsEMG) signals was performed using the blind source separaion (BSS) algorithm. The algorithm is a combination of the modified convolution kernel compensation algorithm and the K-means clustering (kmCKC) algorithm. The obtained decomposition results represent discharge times of the reconstructed motor units. Signals from a publicly available database of high-density surface electromyograms comprising 65 isometric hand gestures were used as input. The movements of the fingers representing the isometric activity of the forearm extensor muscles were selected for decomposition. Five time intervals of muscle activity for a single movement were taken. Decomposition was started separately for each interval. On average, 12.40 +/- 1.14 motor units were successfully reconstructed, with an average pulse-to-noise ratio (PNR) of 18.9272 +/- 2.0383 dB and coefficient of variation of interspike interval (CoVISI) of 0.4298 +/- 0.0383. The average firing rate was 12.3723 +/- 3.7259 pps. The expected number of reconstructed motor units for the extensor muscle and the theoretical average firing rate are in accordance with the obtained results. In addition to using the metrics themselves, visual inspection of the motor units also provides additional validation. The mentioned motor units appear visually credible, and the PNR and CoVISI metrics confirm this. The overall conclusion is that the decomposition was successfully performed and that the algorithm proved to be reliable and robust enough.
Keyword ：
Blind Source Separation (BSS) Blind Source Separation (BSS) Convolution Kernel Compensation with K-means Clustering (kmCKC) Convolution Kernel Compensation with K-means Clustering (kmCKC) High Density Surface Electromyography (HDsEMG) High Density Surface Electromyography (HDsEMG) Motor unit firing times Motor unit firing times
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| GB/T 7714 | Krmek, Simun , Cifrek, Mario , Gao, Yueming et al. Decomposition of HDsEMG Signals Recorded from a Forearm Extensor Muscle Based on Blind Source Separation [J]. | MEDICON 2023 AND CMBEBIH 2023, VOL 1 , 2024 , 93 : 125-134 . |
| MLA | Krmek, Simun et al. "Decomposition of HDsEMG Signals Recorded from a Forearm Extensor Muscle Based on Blind Source Separation" . | MEDICON 2023 AND CMBEBIH 2023, VOL 1 93 (2024) : 125-134 . |
| APA | Krmek, Simun , Cifrek, Mario , Gao, Yueming , Vasic, Zeljka Lucev . Decomposition of HDsEMG Signals Recorded from a Forearm Extensor Muscle Based on Blind Source Separation . | MEDICON 2023 AND CMBEBIH 2023, VOL 1 , 2024 , 93 , 125-134 . |
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The emergence of leadless pacemakers marks a revolutionary breakthrough in cardiac rhythm management. However, current leadless cardiac pacemakers (LCPs) can only pace at a single location, which fails to meet the demand for multi-ventricular sequential pacing in most patients. To address this limitation and achieve multi-chamber pacing with LCPs, it is essential to analyze the signal transmission characteristics of intracardiac conduction communication. Many existing studies analyze the signal transmission characteristics of intracardiac channels based on static experimental measurements. However, our previous research revealed that the signaling characteristics of intracardiac channels vary with the cardiac beat cycle. Consequently, it is inaccurate to consider the channel gain measured in any arbitrary state as representative of the channel characteristics during the establishment of intracardiac signaling communication. Thus, the measurement results cannot be reliably used as a reference for LCP design.In this study, we developed a semisolid spherical mimic using a mixture composed of 91.94% deionized water, 2.63% agar, 0.18% potassium chloride, and 5.25% hydroxyethylcellulose (HEC). This mimic was designed to simulate the channel characteristics during the establishment of intracardiac signal conduction communication. The experimental measurements of the mimic demonstrated a difference of no more than 2 dB compared to the dynamic measurements of the isolated porcine heart in the frequency range of 1 MHz to 20 MHz. This mimic offers a highly accurate, reproducible, and stable method to analyze the signal transmission characteristics of intracardiac channels in conductive cardiac communication (CIC) studies. Moreover, it provides an effective reference for CIC transceiver design studies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keyword ：
artificial tissue-mimicking phantom artificial tissue-mimicking phantom cardiac cycle cardiac cycle conductive cardiac communication conductive cardiac communication
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| GB/T 7714 | Wang, H. , Wang, J. , Yang, S. et al. Cardiac Phantoms for Signal Transmission Characteristics Analysis of Leadless Pacemakers [未知]. |
| MLA | Wang, H. et al. "Cardiac Phantoms for Signal Transmission Characteristics Analysis of Leadless Pacemakers" [未知]. |
| APA | Wang, H. , Wang, J. , Yang, S. , Wei, Z. , Vasić, Ž.L. , Yang, J. et al. Cardiac Phantoms for Signal Transmission Characteristics Analysis of Leadless Pacemakers [未知]. |
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