1 朱国喜,董新春,贾澄杰,等. 下肢生物反馈训练对脑卒中患者运动及平衡功能的影响[J]. 中国康复医学杂志, 2017, 32(7): 793-797. 2 何斌,张超,刘璇. 上肢机器人辅助疗法对急性期脑卒中患者上肢运动功能的效果[J]. 中国康复理论与实践, 2016, 22(6): 688-692. 3 柏敏,田然,杨倩,等. 短期虚拟现实康复训练对脑卒中偏瘫患者上肢功能及日常生活活动能力的影响[J]. 中国康复医学杂志, 2017, 32(11): 1288-1291. 4 吴艳,杨建全. 运动动态评估结合镜像治疗对脑卒中患者运动功能及生活质量的影响[J]. 中国老年学杂志, 2017, 37(21): 5380-5381. 5 NaghdiS, AnsariN N, MansouriK, et al. A neurophysiological and clinical study of Brunnstrom recovery stages in the upper limb following stroke [J]. Brain Inj, 2010, 24(11): 1372-1378. 6 桑德春,纪树荣,张缨,等. Fugl-Meyer量表在社区脑卒中康复疗效评定中的应用[J]. 中国康复医学杂志, 2007, 22(3):264-265. 7 陆吕平,张国庆,顾伯林, 等. 中西医结合治疗对缺血性脑卒中老年患者的BARTHEL指数评分、神经功能缺损评分及血液流变学的影响[J]. 中国老年学杂志, 2014, 34(1): 83-85. 8 MorrisD M, UswatteG, CragoJ E, et al. The reliability of the wolf motor function test for assessing upper extremity function after stroke [J]. Arch Phys Med Rehabil, 2001, 82(6): 750-755. 9 TamburiniP, MazzoliD, StagniR. Towards an objective assessment of motor function in sub-acute stroke patients: relationship between clinical rating scales and instrumental gait stability indexes [J]. Gait Posture, 2018, 59: 58-64. 10 SafazI, YlmazB, YasarE, et al. Brunnstrom recovery stage and motricity index for the evaluation of upper extremity in stroke: analysis for correlation and responsiveness [J]. Int J Rehabil Res, 2009, 32(3): 228-231. 11 全国第四届脑血管病学术会议. 脑卒中患者临床神经功能缺损程度评分标准(1995)[J]. 中华神经科杂志, 1996, 29(6): 381-383. 12 杨波, 付成龙. 惯性测量单元在老年人跌倒风险评估中的应用进展[J]. 中国康复理论与实践, 2015, 21(7): 780-784. 13 廖志平, 魏爽, 李建华. 表面肌电图评估技术在脑卒中患者下肢肌肉领域的应用[J]. 中国康复, 2015, 30(5): 388-390. 14 ManniniA, SabatiniA M. Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope [J]. Gait Posture, 2012, 36(4): 657-661. 15 郑海鹰,刘颖,何春凤,等. 脑卒中患者平衡功能康复评定方法与进展[J]. 辽宁中医药大学学报, 2014, 16(3): 209-211. 16 王延莉,王爱平. 脑卒中病人自我护理能力问卷的研制及信效度检验[J]. 护理研究, 2016, 30(3): 297-301. 17 PatelS, ParkH, BonatoP, et al. A review of wearable sensors and systems with application in rehabilitation [J]. J Neuroeng Rehabil, 2012, 9(1): 21. 18 张文豪,李建军,高峰,等. 可穿戴技术在康复医学领域中的研究进展[J]. 中国康复理论与实践, 2017, 23(7): 792-795. 19 MurphyM A, WillénC, SunnerhagenK S. Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass [J]. Neurorehabil Neural Repair, 2011, 25(1): 71-80. 20 张云超,肖金壮,王洪瑞. 一种踝关节三维运动空间的量化算法[J]. 中国康复理论与实践, 2017, 23(10): 1209-1215. 21 BonnechereB, JansenB, SalviaP, et al. Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry [J]. Gait Posture, 2014, 39(1): 593-598. 22 瞿畅,代艾波,郭爱松,等. 基于Kinect的上肢康复训练系统开发与应用[J]. 中国生物医学工程学报, 2015, 34(5): 607-612. 23 ZhangZ, FangQ, GuX. Objective assessment of upper-limb mobility for poststroke rehabilitation [J]. IEEE Trans Biomed Eng, 2016, 63(4): 859-868. 24 张姹. 基于光学和惯性跟踪数据融合的上肢运动测量技术及应用研究[D]. 杭州:浙江大学, 2014. 25 赵桂玲,姜雨含,李松. IMU标定数学建模及误差分析[J]. 传感技术学报, 2016, 29(6): 886-891. 26 LiH T, HuangJ J, PanC W, et al. Inertial sensing based assessment methods to quantify the effectiveness of post-stroke rehabilitation [J]. Sensors, 2015, 15(7): 16196-16209. |