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陶帅副教授
2022-03-14 11:16  

 1 基本信息

姓名:陶帅

性别:男

职称:副教授(硕导)

办公地点:日新楼410实验室

Email : taoshuai@dlu.edu.cn

研究方向:智慧医疗、生物计算

实验室网站:https://www.x-mol.com/groups/taoshuai

招生专业:计算机科学与技术、计算机技术、控制工程


2 个人简介

陶帅,计算机科学博士,大连大学信息工程学院副教授,浙江大学医学院兼聘教授,硕士生导师,大连乾函科技有限公司总经理,中国计算机学会计算机应用专业委员会委员,中国康复医学会阿尔茨海默病与认知障碍康复专业委员会委员。先后于中国农业大学获得学士、硕士学位,国家公派留学日本获北海道大学计算机科学博士学位。获评大连市青年科技之星,入围第七批大连市海创工程计划。在国内外著名期刊发表学术论文三十余篇,担任多家知名国际期刊审稿人,获国家专利二十余项,获省级科技进步奖二等奖一项、市级科技进步二等奖一项。主持两项国家重点研发计划项目子课题、主持与参与三项国家自然科学基金项目、主持多项省市级科研项目。主要从事医疗类智能可穿戴设备、大数据技术、肿瘤克隆进化与精准治疗、医用数字图像处理等相关方向的研发工作。


3 主要科研项目

(1)国家重点研发计划,2018YFC2001400,所属专项:主动健康和老龄化科技应对,项目名称:老年人跌倒预警干预防护技术及产品研发,课题名称:多参数融合的老人跌倒成因研究(子课题),2018/12-2022/12,63.1万元,结题,主持

(2)国家重点研发计划,2018YFC2001700,所属专项:主动健康和老龄化科技应对,项目名称:老年认知障碍多模态评估与智能康复系统研发,课题名称:多模态信息融合的认知障碍定量评估技术研究(子课题),2018/12-2022/12,67.25万元,结题,主持

(3)国家自然科学基金青年科学基金项目,61501076,基于二值传感网络及隐私保护的人物室内动态定位、多行为识别与老人摔倒实时监测方法研究,2016/01-2018/12,24.52万元,结题,主持

(4)国家教育部留学回国人员科研启动基金,教外司留[2014]168号,独居老人行为识别及实时摔倒监测系统研究,2015/01-2016/12,3万元,结题,主持

(5)大连市高层次人才创新支持计划,2016RQ077,基于二值传感网络的空巢老人异常监测方法研究,2016/10-2018/09,10万元,结题,主持

(6)国家自然科学基金青年科学基金项目,61702071,面向老龄化医养保健的室内定位和行为识别的关键问题研究,2018/01-2020/12,23万元,结题,参加

(7)国家自然科学基金青年科学基金项目,61402068,基于枢轴语言和图映射的历史典籍术语对齐研究,2015/01-2017/12,23万元,结题,参加



4 主要研究成果

代表性论文

[1] Wang Z, Fang Y, Wang R, Kong L, Liang S, Tao S*.Reconstructing tumor clonal heterogeneity and evolutionary relationships based on tumor DNA sequencing data[J]. Briefings in Bioinformatics, 2024, 25(6). (SCI, IF: 6.8)

[2] Tao S*, Zhang H, Kong L, Sun Y, Zhao J. Validation of gait analysis using smartphones: Reliability and validity[J]. DIGITAL HEALTH, 2024, 10: 20552076241257054.(SCI, IF: 4.4)

[3] Tao Shuai*, Hu Hongbin, Zhao Jie, Kong Liwen*. Evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device[C]. International Conference on Artificial Intelligence, Robotics, and Communication.Springer, Singapore, 2024.DOI:10.1007/978-981-97-2200-6_14. (ICAIRC 2023). (EI)

[4] Shuai Tao, Kaiyue Xu, Zhao Jie, Liwen Kong. Study on the Quantitative Assessment Method of Fall Risk Based on Multidimensional Gait Features//2024 5th International Conference on Computer Engineering and Application (ICCEA).0[2024-10-28]. DOI:10.1109/ICCEA62105.2024.10603640.(EI)

[5] S. Tao*, H. Wang, L. Kong, Z. Lv and Z. Wang, Testing the Validity of a Spatiotemporal Gait Model Using Inertial Measurement Units in Early Parkinson’s Patients, IEEE Access, 2023, vol. 11, 80573-80587.(SCI IF:3.9)

[6] Dong Liu, Dachuan Liu, Hao Fan, Shuai Tao*. Effect of training intensity on systolic blood pressure in overweight and obese children and adolescents: A systematic review and meta-analysis. Asian Journal of Surgery, 2023 Apr, 46(4):1878-1880.(SCI IF:3.5)

[7] Tao S*, Wang Y, Cai H, et al. Recognition of Parkinson's disease and Parkinson's dementia based on gait analysis and machine learning[C]//Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022). SPIE, 2023, 12462: 593-601. (EI)

[8] Liwen Kong, Yiyuan Chen, Dongmei Ye, Shuai Tao*, Liheng Wang*. Research on Gait Angle Variables to Personal Best Performance Based on Machine Learning Regression Model[C]//2022 2nd International Conference on Health Big Data and Smart Sports ( HBDSS2022 ). IEEE, 2022: 313-317. (EI)

[9] Han F#, Tao S#, Liang S, et al. Effect of repetitive transcranial magnetic stimulation on patients with severe depression: a study protocol for systematic review and meta-analysis of randomised clinical trials. BMJ Open. 2021;11(12):e050098. Published 2021 Dec 14.(SCI IF:2.7)

[10] Qin Gao, ZepingLv, Xuefei Zhang, Yao Hou, Haibin Liu, Weishang Gao, Mengyue Chang, Shuai Tao*. Validation of the JiBuEn® system in measuring gait parameters. T. Ahram et al. (Eds.): IHIET-AI 2021, Springer, AISC 1378, pp. 526–531. (EI)

[11] Mengyue Chang, Zumin Wang, Shuai Tao*. Influence of BMI on Walking Health--Based on the Analysis of Gait Parameters. 2021 2nd International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS 2021), 2021, 482-487. (EI)

[12] Shuai Tao, Yiyuan Chen, Liwen Kong, et al. Regressing and predicting of multidimensional gait data characteristics—a novel correlation analysis method. 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2021), 2021, pp. 11-16. (EI)

[13] S. Tao, Z. Zhao, J. Qin, C. Ji and Z. Wang, "Attention-Based Convolutional Neural Network and Bidirectional Gated Recurrent Unit for Human Activity Recognition," 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020, pp. 1132-1138, doi: 10.1109/ICMCCE51767.2020.00249. (EI)

[14] XieHaiqun, Wang Yukai, Tao Shuai, Huang Shuyun, Zhang Chengguo, LvZeping*. (2019). Wearable Sensor-Based Daily Life Walking Assessment of Gait for Distinguishing Individuals With Amnestic Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 11, 285.(SCI IF:5.8)

[15] Shuai Tao, Xiaowei Zhang, Huaying Cai, ZepingLv*, Caiyou Hu, HaiqunXie. Gait based biometric personal authentication by using MEMS inertial sensors, Journal of Ambient Intelligence and Humanized Computing, 9(5), 1705–1712, Oct. 2018 (SCI IF:3.7)

[16] S. Tao*, M. Kudo, B. N. Pei, H. Nonaka, J. Toyama, Multi-person locating and their soft tracking in a binary infrared sensor network. IEEE Transactions on Human-Machine Systems, 45(5), 550-561, Oct. 2015(SCI IF:2.9)

[17] S. Tao*, M. Kudo, H. Nonaka, Privacy-preserved behavior analysis and fall detection by an infrared ceiling sensor network. Sensors, 12(12), 16920-16936, 2012 (SCI IF:3.6)

[18] Tao, S.*; Ma, X.; Li, JH; Zhang, WJ; Zhao, LL; Wen, YD; Wang, Y. and Zhang, LD. Study on the projection method based on principal component of tobacco near-infrared spectrum and application in redrying model. Spectroscopy and Spectral Analysis, 29(11), 2970-2979, 2009. (SCI)

[19] Jianfei Sun, Zumin Wang, Bingnan Pei, Shuai Tao*, Liming Chen. Fall Detection Using Plantar Inclinometer Sensor[C]. IEEE, Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE, Intl Conf on Autonomic and Trusted Computing and 2015 IEEE, Intl Conf on Scalable Computing and Communications and ITS Associated Workshops. IEEE, 2015:1692-1697. (EI)

[20] S. Tao*, M. Kudo, H. Nonaka, Camera View Usage of Binary Infrared Sensors for Activity Recognition. Proceedings of International Conference on Pattern Recognition (ICPR2012), pp. 1759-1762, 2012.

[21] S. Tao*, M. Kudo, H. Nonaka, J. Toyama, Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network. Proceedings of AmI 2011 Workshops, Communications in Computer and Information Science. Vol. 277, Springer, pp. 119-127, 2012.

[22] S. Tao*, M. Kudo, H. Nonaka, J. Toyama, Recording the Activities of Daily Living Based on Person Localization Using an Infrared Ceiling Sensor Network. Proceedings of the IEEE International Conference on Granular Computing (GrC2011), pp. 647-652, 2011.

[23] S. Tao*, M. Kudo, H. Nonaka, J. Toyama, Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. Computer Analysis of Images and Patterns, 14th International Conference, Lecture Notes in Computer Science. Vol. 6855, Springer, pp. 122-129, 2011.

[24] Jianfei Sun, Zumin Wang, Liming Chen, Baofeng Wang, Changqing Ji, Shuai Tao*, A Plantar Inclinometer Based Approach to Fall Detection in Open Environments. Title of the Book: Emerging Trends and Advanced Technologies for Science and Information, Book series: Studies in Computational Intelligence, Springer, 2015, pp. 1-13. (EI)

[25] S. Tao*, M. Kudo, H. Nonaka, Privacy-preserved fall detection by an infrared ceiling sensor network. Proceedings of Biometrics Workshop, pp. 23-28, 2012.

[26] H. Nonaka*, S. Tao, J. Toyama and M. Kudo, Ceiling Sensor Network for Soft Authentication and Person Tracking Using Equilibrium Line. Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS2011), pp. 218-223, 2011.

[27] Liandi Gao, Shuai Tao, Changqing Ji, Baofeng Wang, Zumin Wang*. Human Body Activities Recognition System Based on Ceiling Binary Infrared Sensor Network. ICTC2016.

[28] Liandi Gao, Shuai Tao*, Changqing Ji, Baofeng Wang, Zumin Wang*. Development of Person Localization and Activities Recognition System[C]// International Workshop of Advanced Manufacturing and Automation, 2016.

[29] Li, JH*; Chen, B.; Ma X.; Zhao, LL; Lao, CL; Zhang, WJ; Duan, J.; Tao, S.; Zhang, LD and Yan, YL. Development of Specific Near Infrared Analysis Software. Modern Scientific Instruments, 2008, (4), pp. 35-38, 2008.

[30] 陶帅*,胡泓彬,孔丽文,吕泽平,汪祖民,赵洁,刘爽.基于步态特征的认知障碍量化评估方法研究 [J]. 生物医学工程学杂志, 2024, 41 (02): 281-287.

[31] 陶帅*,韩星,孔丽文,汪祖民,谢海群.基于步态的机器学习模型识别遗忘型轻度认知障碍和阿尔茨海默病[J].中国全科医学,2022,25(31):3857-3865.

[32] 陶帅*,常蒙月,汪祖民,吕泽平.基于可穿戴设备的跌倒检测方法研究进展[J].中国老年保健医学,2021,19(04):119-125.

[33] 陶帅, 谢海群*, 吕泽平*. 可穿戴步态辅助技术在康复养老领域中的应用[J], 科技导报,2019,37(22):19-25.

[34] 陶帅(参与)中国老年保健医学研究会老龄健康服务与标准化分会. 居家(养护)失智老人评估、康复和照护专家建议[J]. 中国老年保健医学, 2018, 16(3):6.

[35] 陶帅, 梁珊珊, 魏鹏绪*, 吕泽平*. 基于可穿戴传感技术的步态参数建模与跌倒监测方法[J], 中国老年保健医学, 2018(5):49-54.

[36] 陶帅, 蔡华英, 谢海群, 田秋姣, 魏鹏绪, 吕泽平*.可穿戴设备步态信息采集在老年人认知功能障碍评估中的应用[J], 阿尔茨海默病及相关病, 2018,1(3):174-179.

[37] 陶帅, 韩芳, 吕泽平*, 谢海群. 步态在老年认知功能障碍中的研究与应用进展[J], 中国老年保健医学, 2017(5):15-18.

[38] 陶帅*, 吕泽平, 田秋姣, 胡才友, 谢海群. 步态检测设备联合量表评估认知功能和跌倒风险的应用初探[J], 中国老年保健医学, 2017(5):26-28.

[39] 高莲弟, 陶帅, 季长清, 王宝凤, 汪祖民*. 基于屋顶二值红外传感器网络的人体定位和行为识别系统设计[J], 计算机测量与控制, 2017 , 25 (1):163-166.

[40] 孔维康, 陶帅, 汪祖民*,等. 基于ZigBee的养老院健康监护系统设计[J]. 计算机测量与控制, 2016, 24(1):95-98.

[41]季长清*, 余胜, 王宝凤, 陶帅, 汪祖民, 王润方. 移动云计算环境下的双色反近邻查询算法[J]. 浙江大学学报(工学版), 2016, 50(7):1330-1337.


专利

[1] 专利号:202411351581.3. 发明人:陶帅,王震等. 发明专利(已受理).名称:一种基于肿瘤 DNA 测序数据重建肿瘤克隆异质性与进化关系的方法.

[2] 专利号:202411832052.5. 发明人:陶帅,王钰滢等. 发明专利(已受理).名称:一种基于步态特征与集成学习的脑小血管病认知障碍评估方法.

[3] 专利号:202411832051.0. 发明人:陶帅,王钰滢等. 发明专利(已受理).名称:一种基于优化算法与机器学习的认知水平预测方法.

[4] 专利号:202411175256.6. 发明人:陶帅,张昊等. 发明专利(已受理).名称: 基于智能手机内置传感器与深度学习的步态事件检测方法.

[5] 专利号:202310439202.5. 发明人:陶帅,张昊,孔丽文,马重. 发明专利(已受理). 名称: 一种基于智能手机传感器步态分析评估认知状况的方法.

[6] 专利号:202310130189.发明人:陶帅,陈一源,孔丽文. 发明专利(已受理)名称:一种基于回归-优化-反馈的多维步态特征相关分析方法.

[7] 专利号:202211674841.1. 发明人:陶帅,王毅,孔丽文,赵洁. 发明专利(已受理)名称:一种基于三维步态分析评估帕金森患者的方法.

[8] 专利号:202211580234.9. 发明人:陶帅,韩星,孔丽文,赵洁. 发明专利(已受理)名称:一种基于步态的认知障碍评估方法

[9] 专利号:202111574867.4. 发明人:陶帅,常蒙月,王毅,韩星,陈一源. 发明专利(已受理)名称:一种基于步态特征的跌倒风险评估方法及跌倒识别装置

[10] 专利号:ZL202110379836.7. 发明人:陶帅,赵洁,梁珊珊.发明专利(已受理)名称:认知能力评估方法、系统及存储介质.

[11] 专利号:ZL201410039128.9. 发明人:陶帅,裴炳南,张玉霞,裴腾达,王洪雁. 发明专利(已授权).名称:基于热红外传感器阵列的独居老人摔倒行为实时监测方法.

[12] 专利号:ZL201610028187.5   发明人:汪祖民,陶帅,季长清,王宝凤发明专利(已授权)名称:电梯内乘客人数显示系统


5 主讲课程

智慧医疗(本科生)


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