KIM M S, LEE S J, KIM T U, et al. The Influence of Laterality of Pharyngeal Bolus Passage on Dysphagia in Hemiplegic Stroke Patients[J]. Annals of Rehabilitation Medicine, 2012, 36(5): 696-701. doi: 10.5535/arm.2012.36.5.696
BEEBE J A, LANG C E. Active Range of Motion Predicts Upper Extremity Function 3 Months after Stroke[J]. Stroke, 2009, 40(5): 1772-1779. doi: 10.1161/STROKEAHA.108.536763
刘豪杰. 基于运动感知的手指康复训练系统的设计与实现[D]. 郑州: 郑州大学, 2019.
徐东, 徐晗, 李益斌, 等. 上肢康复机器人研究进展综述[J]. 现代信息科技, 2020(16): 142-144, 148.
徐国政, 陈雯, 高翔, 等. 基于阻抗辨识和混杂控制的机器人辅助抗阻训练方法[J]. 机械工程学报, 2016, 52(15): 8-14.
CODERRE A M, ZEID A A, DUKELOW S P, et al. Assessment of Upper-Limb Sensorimotor Function of Subacute Stroke Patients Using Visually Guided Reaching[J]. Neurorehabilitation and Neural Repair, 2010, 24(6): 528-541. doi: 10.1177/1545968309356091
SEEL T, RAISCH J, SCHAUER T. IMU-Based Joint Angle Measurement for Gait Analysis[J]. Sensors (Basel, Switzerland), 2014, 14(4): 6891-6909. doi: 10.3390/s140406891
JIANG S, LV B, GUO W C, et al. Feasibility of Wrist-Worn, Real-Time Hand, and Surface Gesture Recognition via sEMG and IMU Sensing[J]. IEEE Transactions on Industrial Informatics. 2018; 14(8): 3376-3385. doi: 10.1109/TII.2017.2779814
李尚华, 刘志云. 不同加压方式介入抗阻训练对腿部肌肉量影响的生物力学研究[J]. 西南师范大学学报(自然科学版), 2020, 45(8): 111-119.
潘俊祥, 尤旭, 邹琳, 等. 膝关节屈伸肌力比对平衡能力的影响研究[J]. 西南师范大学学报(自然科学版), 2020, 45(8): 102-110.
CHIU L Z F. Biomechanical Methods to Quantify Muscle Effort during Resistance Exercise[J]. Journal of Strength and Conditioning Research, 2018, 32(2): 502-513. doi: 10.1519/JSC.0000000000002330
TAHA Z, LEE C M, AHAMED N U, et al. Performance Analysis in Strength Training: An Innovative Instrumentation[J]. Procedia Engineering. 2016, 147: 455-460. doi: 10.1016/j.proeng.2016.06.340
潘跃红, 陈文良. 医用红外热成像技术应用于常见亚健康状态调理前后效果评价[J]. 中医临床研究, 2017, 9(23): 124-127. doi: 10.3969/j.issn.1674-7860.2017.23.065
GODOY S E, HAYAT M M, RAMIREZ D A, et al. Detection Theory for Accurate and Non-Invasive Skin Cancer Diagnosis Using Dynamic Thermal Imaging[J]. Biomedical Optics Express, 2017, 8(4): 2301-2323. doi: 10.1364/BOE.8.002301
李源, 江国泰, 金宗浩. 计算机体内热估计处理对筛查乳腺增生症的价值评价[J]. 中国组织工程研究与临床康复, 2008(39): 7645-7648.
任红, 马培东. 红外线热像扫描仪诊断乳腺疾病临床观察[J]. 实用放射学杂志. 2007, 23: 1000-1001.
KRUSTRUP P, FERGUSON R A, KJAER M, et al. ATP and Heat Production in Human Skeletal Muscle during Dynamic Exercise: Higher Efficiency of Anaerobic than Aerobic ATP Resynthesis[J]. The Journal of Physiology, 2003, 549(pt 1): 255-269.
GONZÁLEZ-ALONSO J, QUISTORFF B, KRUSTRUP P, et al. Heat Production in Human Skeletal Muscle at the Onset of Intense Dynamic Exercise[J]. The Journal of Physiology, 2000, 524 Pt 2: 603-615.
ZAGRODNY B, WOJNICZ W, LUDWICKI M, et al. Could Thermal Imaging Supplement Surface Electromyography Measurements for Skeletal Muscles?[J]. IEEE Trans Instrum Meas. 2021, 70: 1-10.
DAUD S A, ELAMVAZUTHI I B, ZULKIFLI Z, et al. Analysis of Thermal Imaging in Determining Muscle Contractions of Upper Extremities[C]. 2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation (ROMA). New York: IEEE Press, 2017: 1-5.
XU H, ZHANG M, LI Y, et al. Development of A Pneumatic Robotic System for Bilateral Upper Limb Interactive Training with Variable Resistance[C]. 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). New York: IEEE Press, 2018: 968-973.
LI Y B, XU H, XU D, et al. Pneumatic Resistance Control of An Upper Limb Active Rehabilitation System[J]. ASME J of Medical Diagnostics. 2020, 3(2): 021102-1-021102-9.
OTSU N. A Threshold Selection Method from Gray-Level Histograms[J]. IEEE Trans Syst Man Cybern, 1979, 9: 62-66.
何慧敏, 杨承志, 刘贺, 等. 一种基于红外热图的温度提取方法[J]. 计算技术与自动化, 2016, 35(3): 85-89.
励建安. 康复治疗技术新进展[M]. 北京: 人民军医出版社, 2015.
李培, 武传钟, 陈作君, 等. 肌力训练生物学基础研究综述[J]. 武汉体育学院学报, 2006, 40(8): 69-71, 78.