Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot

被引:0
作者
Zhang, Tianfang [1 ]
Yao, Zhao [1 ,2 ]
Chen, Fenfen [2 ,3 ]
Wang, Jie [4 ]
Shi, Weiyi [1 ]
Zheng, Jinjin [1 ]
Zhang, Ziwei [1 ]
Chen, Zuobing [1 ,2 ,3 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Rehabil Med, Hangzhou, Peoples R China
[2] Wenzhou Med Univ, Affiliated Hosp 2, Wenzhou, Peoples R China
[3] Wenzhou Med Univ, Taizhou Hosp, Dept Rehabil Med, Wenzhou, Peoples R China
[4] Shandong Univ Tradit Chinese Med, Affiliate Hosp, Jinan, Peoples R China
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2024年 / 211期
关键词
STROKE; RECOVERY;
D O I
10.3791/66938
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cerebrovascular accidents, commonly known as strokes, represent a prevalent neurological event leading to significant upper limb disabilities, thereby profoundly affecting individuals' activities of daily living and diminishing their quality of life. Traditional rehabilitation methods for upper limb recovery post-stroke are often hindered by limitations, including therapist and patient fatigue, reliance on singular training methodologies, and lack of sustained motivation. Addressing these challenges, this study introduces an upper limb rehabilitation robot, which uses intelligent feedback motion control to improve therapeutic outcomes. The system is distinguished by its capability to adjust the direction and magnitude of force feedback dynamically, based on the detection of spastic movements during exercises, thereby offering a tailored therapeutic experience. This system is equipped with four distinct training modes, intelligent assessment of joint range of motion, and the ability to personalize training programs. Moreover, it provides an immersive interactive gaming experience coupled with comprehensive safety measures. This multifaceted approach not only elevates the engagement and interest of participants beyond traditional rehabilitation protocols but also demonstrates significant improvements in upper limb functionality and the activities of daily living among hemiplegic patients. The system exemplifies an advanced tool in upper limb rehabilitation, offering a synergistic blend of precision, personalization, and interactive engagement, thereby broadening the therapeutic options available to stroke survivors.
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页数:13
相关论文
共 34 条
[1]   An interactive and low-cost full body rehabilitation framework based on 3D immersive serious games [J].
Avola, Danilo ;
Cinque, Luigi ;
Foresti, Gian Luca ;
Marini, Marco Raoul .
JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 89 :81-100
[2]   Early intervention to improve hand function in hemiplegic cerebral palsy [J].
Basu, Anna Purna ;
Pearse, Janice ;
Kelly, Susan ;
Wisher, Vicki ;
Kisler, Jill .
FRONTIERS IN NEUROLOGY, 2015, 5
[3]   Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands [J].
Budhota, Aamani ;
Chua, Karen S. G. ;
Hussain, Asif ;
Kager, Simone ;
Cherpin, Adele ;
Contu, Sara ;
Vishwanath, Deshmukh ;
Kuah, Christopher W. K. ;
Ng, Chwee Yin ;
Yam, Lester H. L. ;
Loh, Yong Joo ;
Rajeswaran, Deshan Kumar ;
Xiang, Liming ;
Burdet, Etienne ;
Campolo, Domenico .
FRONTIERS IN NEUROLOGY, 2021, 12
[4]   Robot-assisted therapy for upper-limb rehabilitation in subacute stroke patients: A systematic review and meta-analysis [J].
Chien, Wai-tong ;
Chong, Yuen-yu ;
Tse, Man-kei ;
Chien, Cheuk-woon ;
Cheng, Ho-yu .
BRAIN AND BEHAVIOR, 2020, 10 (08)
[5]   The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical trial [J].
Chinembiri, Bianca ;
Ming, Zhang ;
Kai, Shang ;
Xiu Fang, Zhang ;
Wei, Chen .
TOPICS IN STROKE REHABILITATION, 2021, 28 (01) :1-18
[6]  
Cipresso Pietro, 2014, Stud Health Technol Inform, V196, P66
[7]  
Cordella F, 2020, J Biol Regul Homeost Agents, V34, P45
[8]  
Dongyan X., 2018, J Rehab Med., V28, P11
[9]   Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation [J].
Farulla, Giuseppe Airo ;
Pianu, Daniele ;
Cempini, Marco ;
Cortese, Mario ;
Russo, Ludovico O. ;
Indaco, Marco ;
Nerino, Roberto ;
Chimienti, Antonio ;
Oddo, Calogero M. ;
Vitiello, Nicola .
SENSORS, 2016, 16 (02)
[10]   MINI-MENTAL STATE - PRACTICAL METHOD FOR GRADING COGNITIVE STATE OF PATIENTS FOR CLINICIAN [J].
FOLSTEIN, MF ;
FOLSTEIN, SE ;
MCHUGH, PR .
JOURNAL OF PSYCHIATRIC RESEARCH, 1975, 12 (03) :189-198