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学者姓名：高跃明
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Abstract ：
声纹识别为阈下抑郁辨识诊断和干预评价提供客观的参考依据。本研究采用不同言语方式(读/a/音、文本朗读、图片描述、自由访谈)和情绪刺激(正性、中性、负性),融合韵律、音色、频谱、共振峰等4类语音特征，提取出Mel频率倒谱系数、音速、基频、共振峰等16种特征参数，利用随机森林分类算法建立阈下抑郁风险预测模型，并与其他分类器对比。结果表明：未融合特征前图片描述和自由访谈的识别率高于其他言语方式，其中正性刺激的预测结果更好，准确率达72.50%和67.39%;融合特征后读/a/音和自由访谈分别获得了93.00%和85.00%的高准确率。由此可知，融合特征后模型学习到的语音信息不仅仅包含被试者的情感状态，也包含特征类型间的相互关系；读/a/音和自由访谈保留更多的声道信息，其中读/a/音发声持久、音强持续，自由访谈语量和特征全面，接近自然言语。本文结果对阈下抑郁早期风险预测有一定的参考意义。
Keyword ：
分类器 分类器 声纹识别 声纹识别 语音特征 语音特征 阈下抑郁 阈下抑郁
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| GB/T 7714 | 何婉婷 , 林琴韵 , 杨旭东 et al. 融合多种语音特征参数的阈下抑郁风险预测 [J]. | 复旦学报(自然科学版) , 2024 , 63 (03) : 344-350 . |
| MLA | 何婉婷 et al. "融合多种语音特征参数的阈下抑郁风险预测" . | 复旦学报(自然科学版) 63 . 03 (2024) : 344-350 . |
| APA | 何婉婷 , 林琴韵 , 杨旭东 , 严洪立 , 徐攀 , 杨朝阳 et al. 融合多种语音特征参数的阈下抑郁风险预测 . | 复旦学报(自然科学版) , 2024 , 63 (03) , 344-350 . |
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The leadless multichamber pacemaker offers significant advantages in treating arrhythmias and enhancing cardiac function. Intracardiac communication is essential for ensuring coordinated pacing of multi-chamber pacemakers that do not have leadless technology. However, the dynamic changes in the intracardiac channel present a significant challenge. Hence, mastering the dynamic characteristics of intracardiac channels and accurately modeling them is crucial. In this paper, we introduce a validated intracardiac channel equivalent circuit model that accounts for the electrical characteristics of cardiac tissue and the volume fluctuations in cardiac chambers. The results demonstrate that the agreement coefficient between the circuit model and the in vitro pig heart model reached 80.7% in the time domain. The proposed equivalent circuit model demonstrates high accuracy and stability in addressing the challenge of dynamic changes in intracardiac channels and simplifying in vivo or in vitro experiments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keyword ：
dynamic equivalent circuit models dynamic equivalent circuit models intracardiac circuit phantom intracardiac circuit phantom intracardiac communication intracardiac communication leadless pacemakers leadless pacemakers
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| GB/T 7714 | Li, D. , Wang, J. , Mou, P.A. et al. Dynamic Equivalent Circuit Models for Intracardiac Communication in Leadless Pacemakers [未知]. |
| MLA | Li, D. et al. "Dynamic Equivalent Circuit Models for Intracardiac Communication in Leadless Pacemakers" [未知]. |
| APA | Li, D. , Wang, J. , Mou, P.A. , Yin, Y. , Pun, S.H. , Mak, P.U. et al. Dynamic Equivalent Circuit Models for Intracardiac Communication in Leadless Pacemakers [未知]. |
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The interactions of medical devices within the body area network (BAN) have significantly alleviated the pressure on healthcare resources attributed to an aging society. However, the low-power, high-reliability wireless communications among these devices are susceptible to the influence of the human body. This paper exploits the capacitive effects of human tissues to achieve precise and reconfigurable impedance matching in magnetic resonance coupling (MRC) human body communication to minimize the adverse effects of the human body. First, the impact mechanism of the human body on MRC port impedance is analyzed in this paper under the inductive near-field based on the dielectric dispersion of human tissues. This mechanism helps identify the quasistatic magnetic field within MRC, from which the resonance conditions of MRC are derived. A reconfigurable impedance matching method within a broad bandwidth is proposed using these conditions, and experiments on port impedance and transmission characteristics are conducted using an optimized variable parameter coil as the implementation medium. Results demonstrate that the proposed method can precisely tune within a range of 10 MHz under inductive near-field, confirming the reliability of the resonance conditions and matching methodology. After matching, the MRC exhibits only 12.5 dB @13.56 MHz path loss over a 90 cm transmission distance, surpassing other methods by more than 52.8%. The optimized MRC provides an effective technical foundation for narrowband communication schemes of medical devices in the BAN. IEEE
Keyword ：
Antennas and propagation Antennas and propagation Coils Coils Couplings Couplings Dispersion Dispersion Human Body Communication (HBC) Human Body Communication (HBC) Impedance Impedance impedance matching impedance matching magnetic quasi-static HBC magnetic quasi-static HBC Magnetic resonance Magnetic resonance magnetic resonance coupling magnetic resonance coupling Monitoring Monitoring reconfigurable method reconfigurable method
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| GB/T 7714 | Wei, Z. , Yang, S. , Chen, Z. et al. A Reconfigurable Impedance Matching Method for Magnetic-Coupling-Based Near-Field Human Body Communication [J]. | IEEE Transactions on Antennas and Propagation , 2024 , 72 (12) : 1-1 . |
| MLA | Wei, Z. et al. "A Reconfigurable Impedance Matching Method for Magnetic-Coupling-Based Near-Field Human Body Communication" . | IEEE Transactions on Antennas and Propagation 72 . 12 (2024) : 1-1 . |
| APA | Wei, Z. , Yang, S. , Chen, Z. , Vai, M.I. , Pun, S.H. , Yang, J. et al. A Reconfigurable Impedance Matching Method for Magnetic-Coupling-Based Near-Field Human Body Communication . | IEEE Transactions on Antennas and Propagation , 2024 , 72 (12) , 1-1 . |
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Conductive Intracardiac Communication (CIC) uses cardiac tissue as a transmission medium for short-range wireless communication and is a potential method for enabling leadless multi-chamber pacing. However, the characterization of the intracardiac channel is significantly influenced by the experimental setup and conditions. The reported results in the literature vary depending on the measurement methods used, posing challenges in obtaining reliable channel characterization for CIC. In this paper, we aim to investigate the effects of different measurement devices and conditions on the intracardiac channel. By clarifying how impedance imbalance affects the gain measurement results, we design a weak-signal measurement circuit with high common-mode rejection. This new circuit provides a more accurate and effective gain measurement scheme for the CIC channel. An equivalent circuit model simulating cardiac biomechanical impedance is constructed to analyze how capacitive and resistive imbalances affect the gain measurement results. The effects of these imbalances are verified by intracardiac channel impedance imbalance experiments. A high common-mode rejection-high-resistance differential measurement circuit that can reduce the effects of capacitive and resistive imbalances simultaneously, is then designed to suppress the interference in the experiments. The results show that changes in the measurement equipment and isolation method lead to variations in the coupling circuit characteristics, causing differences of up to 16.65 dB in the measurement results. Experiments using the designed measurement circuits effectively mitigate interference from impedance imbalance on the measurement results. This study identifies the reasons behind the discrepancies in the experimental results of previous studies and provides a more reliable gain measurement scheme for CIC research. © 2024 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
Keyword ：
Channel Gain Measurement Channel Gain Measurement Conductive Intracardiac Communication Conductive Intracardiac Communication Equivalent Circuit Equivalent Circuit Impedance Imbalance Impedance Imbalance ModelInterference Mitigation ModelInterference Mitigation
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| GB/T 7714 | Wang, H. , Li, D. , Vai, M.I. et al. Analysis and circuit design of imbalanced impedance channels for conductive intracardiac communication [J]. | IEEE Transactions on Biomedical Circuits and Systems , 2024 . |
| MLA | Wang, H. et al. "Analysis and circuit design of imbalanced impedance channels for conductive intracardiac communication" . | IEEE Transactions on Biomedical Circuits and Systems (2024) . |
| APA | Wang, H. , Li, D. , Vai, M.I. , Pun, S.H. , Yang, J. , Li, H.C. et al. Analysis and circuit design of imbalanced impedance channels for conductive intracardiac communication . | IEEE Transactions on Biomedical Circuits and Systems , 2024 . |
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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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