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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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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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Subthreshold depression(SD) is a prodromal state of depression that both affects quality of life and increases the risk of developing major depression. Early intervention is challenging due to the difficulty of accurate identification by conventional diagnostic methods. Speech, as a natural, non-invasive signal rich in emotional information, has the potential to recognise SD. There is a lack of data related to SD in existing publicly available datasets, so this study established a specialised voice database by self-mining data. The theory of pentatonic can comprehensively reflect the physiological and psychological state of an individual, and has unique advantages that cannot be covered by traditional speech features. Based on this theory, this paper extracted the pentatonic features, i.e., the sum of the energies of the corresponding frequency bands of the five phonemes: Gong, Shang, Jue, Zhi, and Yu. Comparing the distribution of pentatonic energy between SD and healthy people, we found that the pentatonic energy of healthy people is higher than that of SD, and the trend of pentatonic energy is the same in both groups. The results provide a new idea and basis for the early detection and intervention of SD.
Keyword ：
feature extraction feature extraction pentatonic theoty pentatonic theoty subthreshold depression subthreshold depression
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| GB/T 7714 | Li, Shuiqing , Li, Ziran , Xu, Pan et al. A Study of Early Detection of Subthreshold Depression Based on the Pentatonic Theory [J]. | 2024 CROSS STRAIT RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC 2024 , 2024 : 196-198 . |
| MLA | Li, Shuiqing et al. "A Study of Early Detection of Subthreshold Depression Based on the Pentatonic Theory" . | 2024 CROSS STRAIT RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC 2024 (2024) : 196-198 . |
| APA | Li, Shuiqing , Li, Ziran , Xu, Pan , Yang, Zhaoyang , Gao, Yueming . A Study of Early Detection of Subthreshold Depression Based on the Pentatonic Theory . | 2024 CROSS STRAIT RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC 2024 , 2024 , 196-198 . |
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