主要成果
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1.X. Y. Zhang, Y. Meng, M. Jiang,L. Yang, K. X. Zhang, C. T. Lian and Z. W. Li. Machine Learning-Based Evaluation of Application Value of Pulse Wave Parameter Model in the Diagnosis of Hypertensive Disorder in Pregnancy. Mathematical Biosciences and Engineering. 2023.
2.J. Y. Lu, H. Q. Jiang, S. Zhang, Y. M. Yang, D. M. Hao, X. W. Li, A. Q. Chen, J. Shao, X. H. Liu andL. Yang. Risk Prevention of Different Forms of Gestational Diabetes Mellitus Based On Energy Metabolism Prior to Diagnosis. Technology and Health Care. 2022, 30: S285-S292.
3.C. T. Lian, Y. Wang, X. Y. Bao,L. Yang, G. L. Liu, D. M. Hao, S. Zhang, Y. M. Yang, X. W. Li, Y. Meng, X. Y. Zhang and Z. W. Li. Dynamic Prediction Model of Fetal Growth Restriction Based On Support Vector Machine and Logistic Regression Algorithm. Frontiers in Surgery. 2022, 9: 951908.
4.Z. W. Li, Q. Xu, G. Sun, R. Q. Jia,L. Yang, G. L. Liu, D. M. Hao, S. Zhang, Y. M. Yang, X. W. Li, X. Y. Zhang and C. T. Lian. Dynamic Gestational Week Prediction Model for Pre-Eclampsia Based On Id3 Algorithm. Frontiers in Physiology. 2022, 13: 1035726.
5.X. Y. Zhang, G. Sun, Q. Xu,L. Yang, G. L. Liu, C. T. Lian, Z. W. Li, D. M. Hao, Y. M. Yang and X. W. Li. Dynamic Risk Prediction Models for Different Subtypes of Hypertensive Disorders in Pregnancy. Frontiers in Surgery. 2022, 10: 1005974.
6.G. Sun, Q. Xu, S. Zhang,L. Yang, G. L. Liu, Y. Meng, A. Q. Chen, Y. M. Yang, X. W. Li, D. M. Hao, X. H. Liu and J. Shao. Predicting Hypertensive Disorders in Pregnancy Using Multiple Methods: Models with the Placental Growth Factor Parameter. Technology and Health Care. 2021, 29(S1): 427-432.
7.X. Y. Bao, Y. Wang, S. Zhang,L. Yang, G. L. Liu, Y. M. Yang, X. W. Li, D. M. Hao, A. Q. Chen, X. H. Liu and J. Shao. Establishment of a Personalized Fetal Growth Curve Model. Technology and Health Care. 2021, 29(S1): 311-317.
8.Y. Meng,L. Yang, S. Zhang, G. H. Wu, X. H. Liu, D. M. Hao, Y. M. Yang and X. W. Li. Changes in Gaussian Modelling Parameters of PPG Pulse During Healthy Pregnancy. Journal of Medical Imaging and Health Informatics. 2021, 11: 1-4.
9.G. Sun,L. Yang, W. W. Wang, S. Zhang, Z. C. Luo, G. H. Wu, X. H. Liu, D. M. Hao, Y. M. Yang and X. W. Li. An Algorithm for the Noninvasive and Personalized Measurement of Microvascular Blood Viscosity Using Physiological Parameters. Biomed Res Int. 2020: 7013212.
10.L. Yang, G. Sun, A. R. Wang, H. Q. Jiang, S. Zhang, Y. M. Yang, X. W. Li, D. M. Hao, M. Z. Xu and J. Shao. Predictive Models of Hypertensive Disorders in Pregnancy Based On Support Vector Machine Algorithm. Technol Health Care. 2020, 28(S1): 181-186.
11.L. Yang, J. Z. Yang, S. Zhang, et al. Studies on Pulse Wave Model Based On Multiple Gaussian Decomposition. Journal of Medical Imaging and Health Informatics. 2020, 10(3): 641-645.
12.L. Yang, Q. Luo, Y. Lu, et al. Individualized Sports Management Scheme for Pregnant Women in China. Journal of Mechanics in Medicine and Biology. 2019, 19(8): 1940055.
13.K. Y. Li, S. Zhang,L. Yang, et al. Changes of Arterial Pulse Waveform Characteristics with Gestational Age during Normal Pregnancy. Scientific Reports. 2018, 8(15571).
14.K. Y. Li, S. Zhang,L. Yang, et al. Gaussian Modelling Characteristics of Peripheral Arterial Pulse: Difference between Measurements from the Three Trimesters of Healthy Pregnancy. Journal of Healthcare Engineering. 2018, (1308419).
15.Q. Luo,L. Yang, S. Zhang, et al. Monitoring and Evaluation of Sports Load for Primary and Middle School Students. Journal of Mechanics in Medicine and Biology. 2018.
16.A. R. Wang,L. Yang, W. M. Wen, et al. Gaussian Modelling Characteristics Changes Derived from Finger Photoplethysmographic Pulses during Exercise and Recovery. Microvasc Res. 2018, 116: 20-25.
17.A. R. Wang,L. Yang, W. M. Wen, et al. Quantification of Radial Arterial Pulse Characteristics Change during Exercise and Recovery. J Physiol Sci. 2018, 68(2): 113-120.
18.G. F. Li, S. Zhang,L. Yang, et al. Influence of Gestational Age and Time of Day in Baseline and Heart Rate Variation of Fetuses. Technology and Health Care. 2016, 242: S471-S476.
19.G. F. Li, S. Zhang,L. Yang, et al. Computerized Analysis of Acceleration Parameter for the Non-Stress Test Normal and Potentially Abnormal Fetuses. Computer Assisted Surgery. 2016, 211(1): 1-5.
20.W. J. Wu,L. Yang, S. Zhang, et al. Development of a New Characteristic Parameter - Waveform Index of Finger Blood Volume Pulse. Computer Assisted Surgery. 2016, 211: 6-10.
21.A. R. Wang,L. Yang, C. Y. Liu, et al. Athletic Differences in the Characteristics of the Photoplethysmographic Pulse Shape: Effect of Maximal Oxygen Uptake and Maximal Muscular Voluntary Contraction. Biomed Res Int. 2015: 752570.
22.T. T. Yan,L. Yang, S. Zhang, et al. Detecting Differences in Volume Pulse Wave Parameters among Fingers and Toes in Four Different Postures. Bio-Medical Materials and Engineering. 2015, 261(s1): S389-S394.
23.L. Yang, W. Y. Zhang, L. Zhang, et al. Gestational Hypertension Risk Evaluation Based on Epidemiological, Biochemical, and Hemodynamic Factors. Clin Exp Obstet Gynecol. 2013, 40(1): 61-65.
24.Li G, Zhang S, Le T M, et al. Neural responses to negative facial emotions: Sex differences in the correlates of individual anger and fear traits[J]. NeuroImage,2020, 221: 117171-117171. (JCR 1区，Top，IF = 7.4)
25.Li G, et al. Cognitive challenges best distinguish binge and non-binge drinking: a machine learning study of multiple behavioral tasks and algorithms[J]. Journal of Magnetic Resonance Imaging. (JCR 1区，IF = 5.1)
26.Li G, et al. Loss and frontal striatal reactivities interrelate alcohol use severity and rule-breaking behavior in young adult drinkers[J]. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. (JCR 1区，Top，IF = 6.1)
27.杨琳,郝冬梅,张松,廖满媛,李旭雯,杨益民,王艳.医疗器械法规课程思想政治教育创新研究.中国医学装备. 2022，19(09)：177-180.
28.张松,郑定昌,杨琳.医疗器械使用与安全. 2017，中国科学技术出版社.
29.苏峻,宋玉珍,张志华,王艳春,段佳丽,安江红,张松,杨琳,田中,张一民.中小学生体育与健康课运动负荷监测与评价. 2019，北京市地方标准DB11/T 1704-2019.
30.李帅,郝冬梅,杨琳,刘冰,于洁,苏本航.基于垂直眼电信号的眼疲劳评估系统的研发.中国医学装备. 2020，17(06)：4-9.
31.张魁星,孟煜,杨琳.基于高斯函数分解的妊娠期高血压患者脉搏波特征研究.北京生物医学工程. 2020，39(04)：357-363.
32.张松,孙葛,杨琳,王薇薇,杨益民,李旭雯,郝冬梅.一种基于脉搏波参数的微血管血液粘度开关量的测量系统. 2020，(201911266172.2)：20.
33.夏慧煌,杨琳,李斯沔,刘鹏宇,王璐瑶,陈牧天,李坤燕,康泽棋.脉搏波在运动干预中参数指示作用的Meta分析.北京生物医学工程. 2019，38(3)：303-311.
34.张松,王安然,杨琳,蒋红清,张蕾,池臻欤,郝冬梅,杨益民,李旭雯.基于孕周理化信息变化的妊娠期高血压风险动态评估方法. 2018，(201810095723.2)：23.
35.李广飞,张松,杨琳,王妍,李淑芳,杨益民,李旭雯,郝冬梅,张蕾,徐明洲.基于胎儿心电技术的胎心率参数提取及研究.中国医学装备. 2016，13(8)：4-6, 7.
36.张松,芦杨,杨琳,郝冬梅,杨益民,李旭雯,王莹,高沛.健康孕妇中等强度运动心脏储备功能的动态评估方法. 2016，(201610236534.3).
37.张松,顾冠雄,杨琳,杨益民,李旭雯,杨星星,王薇薇.一种基于光电容积脉搏信号的压力脉搏波波形传播预测方法. 2015，(201510051739.X).
38.梁栗炎,杨琳,崔婧翾,王琪,芦杨,汪然.视频显示终端作业过程中的脉搏信号分析研究.中国医学装备. 2014，40(7)：16-19.
39.杨琳,张心苑,张松,王静,赵强.伤口面积测量系统辅助测距装置. 2014，(201410393706.9)：10.
40.张松,王薇薇,杨琳,杨益民,李旭雯,顾冠雄,杨星星.基于流行病学、生化和胎盘因素的产后出血预警系统. 2014，(201310559924.0)：14.
41.杨琳,李洋,张松,杨益民,李旭雯.基于物联网技术的妊娠期高血压远程监护研究.中国医学装备. 2013，10(6)：17-20.
42.杨琳,王薇薇,宋娟,吴广辉,张松,王普.指脉脉搏波自动识别及自动采集控制方法.北京工业大学学报. 2013，39(08)：1261-1263.
43.杨琳,李锟,张松,杨益民,李旭雯.一种用于踏车运动中桡动脉搏测量的手臂固定装置. 2012，(201210174176.X)：6.
44.张松,李硕,杨琳,杨益民,李旭雯.脉搏波采集质量实时分析装置. 2012，(201210135549.2)：13.
45.杨琳,王薇薇,张松,杨益民.一种阵列式胎动信号及子宫收缩信号监测腹带. 2011，(201110106695.8)：20.
46.杨琳,张蕾,张松,杨益民,张为远,王琪.基于理化和血流动力学信息的妊娠期高血压风险监测装置. 2011，(201110009263.5)：22.
47.杨琳,张松,杨益民,邵帅,罗志昌.利用三次样条差值法抑制脉搏波基线漂移.北京生物医学工程. 2010，29(2)：198-200.
48.杨琳,张松,杨益民,罗志昌.基于重搏波谷点的脉搏波波形特征量分析.北京生物医学工程. 2008，27(3)：229-233.
49.张俊利,蔺嫦燕,杨琳,张松,吴广辉,李小帅.脉搏波波形特征信息检测及与部分血流动力学变化相关分析.生物医学工程与临床. 2008，12(2)：104-107.
50.张俊利,杨琳,吴广辉,杨娅,李小帅,张松,蔺嫦燕.基于容积脉搏波血流动力学检测的血流动力学参数的临床验证.北京生物医学工程. 2008，27(2)：127-129, 150.
51.杨琳,张松,杨益民,罗志昌,吴广辉,张俊利,杨娅.基于桡动脉脉搏波血流动力学检测的心输出量计算修正.北京生物医学工程. 2007，26(6)：575-578, 592.
