Study on Mechanical Characteristics of Massage for Knee Osteoarthritis and Fatigue Status of Upper Limb Core Muscle Group
Wang Peng1, Wang Shuyi1*, Gong Li2, Du Yunxiao1, Zuo Yan1
1School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200093, China
Abstract：The aim of this study was to investigate the biomechanical and physiological (surface electromyography) characteristics of massage for knee osteoarthritis, analyze the mechanical properties of this manipulation maneuver quantitatively, and establish a method to objectively evaluate the fatigue status of the upper limb muscle groups of the massage physicians. Ten massage physicians were recruited to collect the vertical pressure of thumb and the surface electromyogram of upper limbs in real time to calculate the vertical strength and the time ratio between secondary work period and primary work period. This paper was to study the upper limb core muscle group and the fatigue status of the core muscle groups when manipulating the massage techniques. Results showed that the frequency of press was four times in one minute. The duration of primary work period was 4.83±0.88 seconds and secondary work period was 11.43±1.94 seconds. The time ratio between the secondary work period and the primary work period was 2.37±0.63. The average vertical strength of the massage manipulation was 228±13N. According to descending order of the integrated EMG(iEMG)and contribution rate of the upper limb muscle groups, the core muscles of the upper limbs were the thumb muscle (8.32±0.29,21.65%), the flexor carpi ulnaris (5.67±0.32,14.74%), the triceps(4.79±0.36,12.46%), and the flexor carpi radialis (4.60±0.12,11.96%). In a 4 min massage process, the degree of decline of the average median frequency (MF) and average mean power frequency (MPF) of the thumb muscle were the largest. They are 30% and 22% respectively. So the thumb muscle was more prone to fatigue. Therefore, the biomechanical characteristics and physiology (surface electromyography) characteristics of the massage techniques of knee osteoarthritis in this paper will lay the foundation for the follow-up research of human engineering and the development of an automated device which can replace the manipulation of massage doctors.
汪鹏, 王殊轶, 龚利, 杜云霄, 左艳. 膝关节骨性关节炎推拿手法的力学特征和上肢核心肌群的疲劳研究[J]. 中国生物医学工程学报, 2018, 37(2): 188-193.
Wang Peng, Wang Shuyi, Gong Li, Du Yunxiao, Zuo Yan. Study on Mechanical Characteristics of Massage for Knee Osteoarthritis and Fatigue Status of Upper Limb Core Muscle Group. Chinese Journal of Biomedical Engineering, 2018, 37(2): 188-193.
[1] 李勇,龚利,朱清广.步态分析在膝骨性关节炎中的应用[J].中医学报,2013,28(4):598-600.
[2] Zhu Qingguang, Li Jianhua, Fang Min, et al. Effect of Chinese massage(Tui Na) on isokinetic muscle strength in patients with knee osteoarthritis[J].Journal of Traditional Chinese Medicine,2016,36(3):314-320.
[3] 陈慕远.推拿医生的职业病防治[J].按摩与康复医学,2009,25(10):42-43.
[4] Field T. Massage therapy research review[J]. Complementary Therapies in Clinical Practice,2014,20(4):224-229.
[5] Yoopat P, Maes C, Poriau S, et al. Thai traditional massage: Efficiency assessment of three traditional massage methods on office workers: An explorative study[J]. Journal of Bodywork & Movement Therapies, 2015, 19(2):246-252.
[6] Song Yajuan, Feng Ping, Wang Xiaoli, et al. The evaluation of massage skill of palm press based on dynamics and kinematical data[J], IEEE International Conference on Dependable, 2014, 7(1):528-531.
[7] 方磊,房敏.一指禅推法不同作用力下上肢肌群运动方式及肌电信号特征[J]. 医用生物力学,2013,28(3):291-296.
[8] 何希才.传感器及其应用实例[M].北京:机械工业出版社,2004:170-206.
[9] 柏树令.系统解剖学[M].北京:人民卫生出版社,2004:91-100.
[10] 卢祖能.实用肌电图学[M].北京:人民卫生出版社,2000:169-172.
[11] 杜春晓,林松,李义凯.一指禅推法频率、有效做功时间比研究[J]. 医用生物力学, 2013, 28(3):297-299.
[12] Soedirdjo SD, Ullah K, Merletti R. Power line interference attenuation in multi-channel sEMGsignals: Algorithms and analysis[C]//Proceedings of 2105 IEEE EMBS Conference. Milan: IEEE, 2015:3823-3826.
[13] Lu G, Brittain JS, Holland P, et al. Removing ECG noise from surface EMG signals using adaptive filtering[J]. Neuroscience Letters, 2009, 462 (1):14-19.
[14] 王国才, 毕永昇, 张素芳, 等. 推拿手法动态曲线的测定及应用[J]. 山东中医药大学学报,1982,6(1):72-76.
[15] 王国才, 毕永昇, 张素芳, 等.一指禅、NFDA1法、内功、点穴等推拿流派手法典型动态曲线图及初步分析[J]. 山东中医药学报, 1982,6(3):66-72.
[16] 冯萍,宋雅娟,王晓,等.推拿手法评估中表面肌电信号的应用[J].计算机光盘软件与应用,2012(21):165-165.
[17] 蔡明明,肖云,徐建中,等.应用表面肌电图评定优秀竞走运动员20km训练中的肌疲劳[J]. 中国临床康复,2005,20(8):147-149.
[18] 王凌云,肖云,马艳芬,等.应用表面肌电图评定乒乓球运动员的上肢肌疲劳[J].中国临床康复,2005,9(4):174-176.
[19] 高成成.伦巴舞基本步伐前进走步的表面肌电特征分析[D].济南:山东体育学院,2014.
[20] 曹仁发.中医推拿学[M].北京: 人民卫生出版社, 2006.
[21] Moritani T, Muro M, Nagata A. Intramuscular and surface electromyogram changes during muscle fatigue[J]. Journal of Applied Physiology, 1986,60(4):1179-1185.
[22] Komi PV, Tesch P. EMG frequency spectrum, muscle structure, and fatigue during dynamic contractions in man[J]. European Journal of Applied Physiology, 1979,42(1):41-50.
