期刊名：Signals

期刊官网：https://www.mdpi.com/journal/signals

还在为筛选文献而发愁？别急，这份“生物医学信号处理”方向的文献清单，也许能为你提供灵感！

1.Comparative Analysis of Statistical, Time–Frequency, and SVM Techniques for Change Detection in Nonlinear Biomedical Signals

非线性生物医学信号变化检测的统计、时频及支持向量机技术比较分析

文章链接：https://www.mdpi.com/2624-6120/5/4/41

MDPI引用格式: Azizi, T. Comparative Analysis of Statistical, Time–Frequency, and SVM Techniques for Change Detection in Nonlinear Biomedical Signals. Signals 2024, 5, 736-755.

2.Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery

利用可解释的人工智能技术检测急性心理压力以实现自动胰岛素输送

文章链接：https://www.mdpi.com/2624-6120/5/3/26

MDPI引用格式: Abdel-Latif, M.M.; Rashid, M.M.; Askari, M.R.; Shahidehpour, A.; Ahmadasas, M.; Park, M.; Sharp, L.; Quinn, L.; Cinar, A. Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery. Signals 2024, 5, 494-507.

3.EEG-Based Analysis of Motor Imagery and Multi-Speed Passive Pedaling: Implications for Brain–Computer Interfaces

基于脑电信号的运动想象与多速度被动踩踏分析：对脑机接口的启示

文章链接：https://www.mdpi.com/2624-6120/6/4/52

MDPI引用格式: Blanco-Diaz, C.F.; Gonzalez-Cely, A.X.; Delisle-Rodriguez, D.; Bastos-Filho, T.F. EEG-Based Analysis of Motor Imagery and Multi-Speed Passive Pedaling: Implications for Brain–Computer Interfaces. Signals 2024, 6, 52.

4.Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques

结合人工智能技术的表面肌电信号采集、处理与分析集成系统开发

文章链接：https://www.mdpi.com/2624-6120/5/3/25

MDPI引用格式: Laganà, F.; Pratticò, D.; Angiulli, G.; Oliva, G.; Pullano, S.A.; Versaci, M.; La Foresta, F. Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques. Signals 2024, 5, 476-493.

5.The Effect of Jittered Stimulus Onset Interval on Electrophysiological Markers of Attention in a Brain–Computer Interface Rapid Serial Visual Presentation Paradigm

刺激起始间隔抖动对脑机接口快速序列视觉呈现范式中注意相关电位的影响

文章链接：https://www.mdpi.com/2624-6120/5/1/2

MDPI引用格式: Klee, D.; Memmott, T.; Oken, B., on behalf of the Consortium for Accessible Multimodal Brain-Body Interfaces (CAMBI). The Effect of Jittered Stimulus Onset Interval on Electrophysiological Markers of Attention in a Brain–Computer Interface Rapid Serial Visual Presentation Paradigm. Signals 2024, 5, 18-39.

6.EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks

基于脑电信号的癫痫检测：采用变频率复杂解调技术与卷积神经网络方法

文章链接：https://www.mdpi.com/2624-6120/4/4/45

MDPI引用格式: Veeranki, Y.R.; McNaboe, R.; Posada-Quintero, H.F. EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks. Signals 2023, 4, 816-835.

7.Personal Identification Using 3D Topographic Cubes Extracted from EEG Signals by Means of Automated Feature Representation

基于自动化特征表征的脑电信号三维地形图立方体身份识别技术

文章链接：https://www.mdpi.com/2624-6120/6/3/43

MDPI引用格式: Oztemel, M.E.; Soysal, Ö.M. Personal Identification Using 3D Topographic Cubes Extracted from EEG Signals by Means of Automated Feature Representation. Signals 2025, 6, 43.

8.Detection of Movement and Lead-Popping Artifacts in Polysomnography EEG Data

多导睡眠图脑电数据中运动与导线弹出伪迹的检测

文章链接：https://www.mdpi.com/2624-6120/5/4/38

MDPI引用格式: Anandanadarajah, N.; Talukder, A.; Yeung, D.; Li, Y.; Umbach, D.M.; Fan, Z.; Li, L. Detection of Movement and Lead-Popping Artifacts in Polysomnography EEG Data. Signals 2024, 5, 690-704.

9.Electroencephalogram Functional Connectivity Analysis and Classification of Mental Arithmetic Working Memory Task

脑电图功能连接性分析与心算工作记忆任务分类

文章链接：https://www.mdpi.com/2624-6120/5/2/16

MDPI引用格式: Gangapuram, H.; Manian, V. Electroencephalogram Functional Connectivity Analysis and Classification of Mental Arithmetic Working Memory Task. Signals 2024, 5, 296-325.

10.Self Attention-Driven ECG Denoising: A Transformer-Based Approach for Robust Cardiac Signal Enhancement

基于Transformer架构的自注意力驱动心电去噪：一种鲁棒性心脏信号增强方法

文章链接：https://www.mdpi.com/2624-6120/6/2/26

MDPI引用格式: Edder, A.; Ben-Bouazza, F.-E.; Tafala, I.; Manchadi, O.; Jioudi, B. Self Attention-Driven ECG Denoising: A Transformer-Based Approach for Robust Cardiac Signal Enhancement. Signals 2025, 6, 26.

11.Method and System for Heart Rate Estimation Using Linear Prediction Filtering

基于线性预测滤波的心率估计方法与系统

文章链接：https://www.mdpi.com/2624-6120/6/2/15

MDPI引用格式: Souza, V.O.T.; Silva, F.G.S.; Araújo, J.M.; Lima, J.S. Method and System for Heart Rate Estimation Using Linear Prediction Filtering. Signals 2025, 6, 15.

Signals期刊介绍

主编：Prof. Dr. Santiago Marco

1. Department of Electronics and Biomedical Engineering, University of Barcelona, Marti I Franqués 1, 08028 Barcelona, Spain

2. Signal and Information Processing in Sensor Systems, Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Baldiri Rexac 10-12, 08028 Barcelona, Spain

Signals （ ISSN: 2624-6120）是一本同行评审的开放获取国际期刊，创刊于2020年，由MDPI出版版。专注于信号科学与工程及其广泛应用。该期刊旨在为科学家和工程师提供一个平台，鼓励他们详细发布实验和理论研究结果。发文类型包括原创型研究论文、综述、简短通讯和信件等。最近公布的第一个IF是2.6，Q2 (Engineering, Electrical and Electronic)，CiteScore为4.6，Q2（Engineering (miscellaneous)）。