We are also thankful to the healthcare professionals and staff members at the First Affiliated Hospital of Zhejiang University for their support and cooperation throughout the research process.

This study was approved by the ethics committee of the First Affiliated Hospital of Zhejiang University, China, and all research protocols were formulated in compliance with the principles of the Declaration of Helsinki. All patients provided written informed consent to participate in this study. The study recruited 24 patients with upper limb hemiplegia who were admitted to the rehabilitation ward of the First Affiliated Hospital of Zhejiang University from January 2023 to June 2023. Inclusion criteria were: first ischemic or hemorrhagic stroke confirmed by neuroimaging (CT or MRI), aged 45 to 75 years, within 6 months of onset, upper limb motor function impairment and unilateral hemiplegia (Fugl-Meyer Assessment for Upper Extremity, FMA-UE &#8804;40)12,13, modified Ashworth Scale &#8804;214, Mini-Mental State Examination (MMSE) &#62;20 (indicating adequate cognitive function)15, and a clinically stable condition with underlying diseases well controlled, and signed informed consent. Exclusion criteria were: unstable intracranial condition, cognitive and language impairment, shoulder subluxation, shoulder/elbow/wrist mobility impairment, severe spasticity (Ashworth 3-4), and visual impairment. The details of the robot and the software used in this study are listed in the Table of Materials.
1. Study design
<ol>
	<li>Generate a random number using SAS software to split all patients into two groups: experimental and control, each containing 12 patients.</li>
	<li>Conduct initial assessments of upper limb motor function and self-care ability using FMA-UE12, Brunnstrom score (BRS)16, and modified Barthel index (MBI)17 by a blinded rehabilitation therapist.</li>
	<li>Administer basic drug therapy to all patients throughout the trial, focusing on blood pressure control, blood glucose management, blood lipid regulation, seizure prevention, etc.</li>
	<li>Provide the control group with 30 min of routine upper limb rehabilitation training daily, including active and passive joint training, muscle strengthening, and finger movement exercises18.
	<ol>
		<li>Additionally, include 30 min of sanding board training daily19. Offer specialized therapy for lower limb dysfunction, aphasia, dysphagia, and other functional disorders as needed by professional therapists, administered five times a week for eight weeks.</li>
	</ol>
	</li>
	<li>Offer the experimental group the same 30 min routine upper limb rehabilitation therapy as the control group daily, supplemented with 30 min of upper limb rehabilitation robot training daily. Provide equivalent therapy for other functional disorders as provided to the control group.</li>
</ol>
2. Specific operation steps for the upper limb rehabilitation robot
<ol>
	<li>Evaluation of joint range of motion and motor control ability
	<ol>
		<li>Ask the patient to sit in front of the robot, keeping the chest one punch away from the platform (Figure 1).</li>
		<li>Place the affected hand on the end processor of the robot, and use gloves and binders to secure the wrist and hand to prevent slip-off during exercise.</li>
		<li>Ask the patient to move the upper arm to the maximum and extend it as far as possible. 
		NOTE: The instrument will automatically record the patient&#39;s hand movement trajectory to determine the patient&#39;s active joint movement range.</li>
		<li>Put the healthy hand on the affected hand and maximally move the affected upper arm with the assistance of the healthy side. 
		NOTE: The instrument recorded the patient&#39;s hand movement trajectory and obtained the passive joint range of motion. Passive range of motion measurements may be assisted by the therapist if the patient has bilateral mobility impairment.</li>
		<li>Set the motor control evaluation parameters, including target repetition times, single exercise time, and single relaxation time. 
		NOTE: The motor control evaluation parameters were set by the therapist according to the patient&#39;s FMA-UE score12and weekly evaluations using the robot&#39;s built-in assessment system, such as increasing the difficulty for participants with better upper limb strength, increasing the number of repetitions and reducing the rest time, to more accurately assess the patient&#39;s motor control.</li>
		<li>Control the target point to move in different directions according to the motion path and direction displayed on the screen. 
		NOTE: The instrument will evaluate the patient&#39;s motor control ability according to the patient&#39;s motor performance.</li>
	</ol>
	</li>
	<li>Selection of training mode
	<ol>
		<li>Select the isokinetic passive training mode if the upper limb muscles of the patient cannot contract at all or only have a small amount of contraction (BRS 1-2). 
		NOTE: The robot provides complete help to drive the affected upper limb for the passive movement training exercise task.</li>
		<li>Select the auxiliary movement training mode if the patient&#39;s upper limb can perform partial joint movement, but the movement is very slight, and the voluntary movement ability is poor (BRS 3). 
		NOTE: The system can provide the corresponding auxiliary force in real-time according to the actual force degree of the patient and induce the active participation of the patient&#39;s upper limb to the greatest extent during the whole training process to form the correct movement mode.</li>
		<li>Select the active training mode if the patient&#39;s upper limb muscle strength can produce large force or partial resistance (BRS 4). 
		NOTE: The robot can further strengthen the main movement ability of the patient&#39;s upper limb.</li>
		<li>Select the resistance training mode to further improve the accuracy and aiming control of the patient&#39;s upper limb if the patient&#39;s upper limb strength is already strong and can resist greater resistance (BRS 5-6).</li>
	</ol>
	</li>
	<li>Selection of training procedures
	<ol>
		<li>Choose the training procedure, noting that the system provides more than 10 interesting game programs so that patients can experience different VR scenes and interactive experiences, which greatly improves the training enthusiasm of patients (Figure 2).</li>
	</ol>
	</li>
	<li>Setting game parameters
	<ol>
		<li>Set the training time according to the physical condition of the patient, which can be about 10-20 min in general. 
		NOTE: If the patient&#39;s upper limb strength is good, increase the single training time to improve the patient&#39;s exercise tolerance. If the patient&#39;s upper limb strength is poor, select a shorter single training time and allow the patient to complete the training program in multiple sessions.</li>
		<li>Set the range of motion according to the evaluated range of motion of the joint, selecting from full range, medium range, or small range of motion.</li>
		<li>Set the activity trajectory according to the characteristics of the patient&#39;s upper arm muscle strength, choosing the appropriate activity path to target and strengthen weak muscles.</li>
		<li>Set the power assist or resistance value according to the muscle strength of the patient. 
		NOTE: During the training process, the instrument can also automatically adjust the power assist and friction force according to the actual force feedback of the patient.</li>
		<li>Set the protection threshold using mechanical feedback technology to detect when the patient&#39;s strength reaches the threshold, indicating spasms (manifested as discomfort, a sudden increase in muscle tone, or abnormal joint stiffness and locking). The device will issue an alarm and stop immediately to ensure the safety of the patient&#39;s training.</li>
	</ol>
	</li>
	<li>Specific training process 
	NOTE: Patients are trained with 2-3 game items per day, and different game items can be changed regularly.
	<ol>
		<li>Engage in the vegetable farm: In the virtual farm, ask the patient to control the small hands to grab fruits and vegetables and collect as many stars as possible. 
		NOTE: This activity primarily targets the range of motion in elbow and wrist flexion and extension.</li>
		<li>Participate in defend the base: In the scene of the virtual military base, ask the patient to accurately control the bullseye to shoot all the eliminated monsters. 
		NOTE: This exercise aims to enhance muscle control in the elbow and wrist, improving the accuracy of shooting actions.</li>
		<li>Play color dodgeball: On different roads and obstacles, ask the patient to control the ball to avoid obstacles of different colors to obtain gold coins. 
		NOTE: This exercise involves shoulder, elbow, and wrist movements to improve muscle strength and joint mobility.</li>
		<li>Navigate Star Wars: In the virtual space environment, ask the patient to control the position of the aircraft to shoot to destroy the virus while avoiding movement and enemy attacks, training muscle endurance and reaction force. 
		NOTE: This training boosts upper limb endurance, reaction speed, and accuracy, and improves elbow and shoulder coordination and strength.</li>
		<li>Participate in quality ball: Ask the patient to control the ball to reach and stay in the bull &#39;s-eye; the closer the ball is to the bull &#39;s-eye, the higher the score is. 
		NOTE: This activity exercises elbow flexion, extension, shoulder adduction, abduction, and activates the biceps and triceps for precise control.</li>
		<li>Play super ping-pong: In the virtual ball environment, ask the patient to control the ping-pong board to hit the ball and play table tennis with the opponent. The difficulty is advanced and upgraded, and the reaction and hand-eye coordination abilities are trained.</li>
		<li>Engage in block world: Ask the patient to control bullseye shooting to destroy blocks, watch out for enemy attacks and collect as many coins as possible, train thinking strategy and hand-eye coordination.</li>
		<li>Play ball: Ask the patient to control the ball to touch the target; the ball is scored, watch out for enemy attacks, and collect as many coins as possible.</li>
		<li>Participate in legendary gunner: Ask the patient to hold the handle and continuously exert force in the direction of the arrow. The muscle groups of the upper limbs are isometric contraction, and the force is stored to fire to destroy the target.</li>
	</ol>
	</li>
</ol>
3. Follow-up procedure
<ol>
	<li>Evaluate all patients for FMA, BRS, and MBI again after 8 weeks of training by the same rehabilitation therapist.</li>
	<li>Enter all data into the software for statistical analysis. Use a paired sample t-test for intra-group comparison and two independent sample t-tests for inter-group comparison. Consider P &#60; 0.05 as statistically significant.</li>
</ol>

Integrated Robotic and Conventional Therapy for Post-Stroke Upper Limb Recovery

<ol>
	<li>Chinembiri, B., Ming, Z., Kai, S., Xiu Fang, Z., Wei, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=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.">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.</a> Top Stroke Rehabil. 28 (1), 1-18 (2021).</li><li>Raghavan, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Upper+limb+motor+impairment+after+stroke.">Upper limb motor impairment after stroke.</a> Phys Med Rehabil Clin N Am. 26 (4), 599-610 (2015).</li><li>Chien, W. T., Chong, Y. Y., Tse, M. K., Chien, C. W., Cheng, H. Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Robot-assisted+therapy+for+upper-limb+rehabilitation+in+subacute+stroke+patients:+A+systematic+review+and+meta-analysis.">Robot-assisted therapy for upper-limb rehabilitation in subacute stroke patients: A systematic review and meta-analysis.</a> Brain Behav. 10 (8), e01742 (2020).</li><li>Stinear, C. M., Lang, C. E., Zeiler, S., Byblow, W. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Advances+and+challenges+in+stroke+rehabilitation.">Advances and challenges in stroke rehabilitation.</a> Lancet Neurol. 19 (4), 348-360 (2020).</li><li>Basu, A. P., Pearse, J., Kelly, S., Wisher, V., Kisler, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Early+intervention+to+improve+hand+function+in+hemiplegic+cerebral+palsy.">Early intervention to improve hand function in hemiplegic cerebral palsy.</a> Front Neurol. 5, 281 (2014).</li><li>Wade, D. T., Langton-Hewer, R., Wood, V. A., Skilbeck, C. E., Ismail, H. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+hemiplegic+arm+after+stroke:+Measurement+and+recovery.">The hemiplegic arm after stroke: Measurement and recovery.</a> J Neurol Neurosurg Psychiatry. 46 (6), 521-524 (1983).</li><li>French, B., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Repetitive+task+training+for+improving+functional+ability+after+stroke.">Repetitive task training for improving functional ability after stroke.</a> Cochrane Database Syst Rev. , (2007).</li><li>Zhang, L., Jia, G., Ma, J., Wang, S., Cheng, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Short+and+long-term+effects+of+robot-assisted+therapy+on+upper+limb+motor+function+and+activity+of+daily+living+in+patients+post-stroke:+A+meta-analysis+of+randomized+controlled+trials.">Short and long-term effects of robot-assisted therapy on upper limb motor function and activity of daily living in patients post-stroke: A meta-analysis of randomized controlled trials.</a> J Neuroeng Rehabil. 19 (1), 76 (2022).</li><li>Stein, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Robotics+in+rehabilitation:+Technology+as+destiny.">Robotics in rehabilitation: Technology as destiny.</a> Am J Phys Med Rehabil. 91 (11 Suppl 3), S199-S203 (2012).</li><li>Zengin-Metli, D., &#214;zbudak-Demir, S., Erakta&#351;, &. #. 3. 0. 4. ;., Binay-Safer, V., Ekiz, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effects+of+robot+assistive+upper+extremity+rehabilitation+on+motor+and+cognitive+recovery,+the+quality+of+life,+and+activities+of+daily+living+in+stroke+patients.">Effects of robot assistive upper extremity rehabilitation on motor and cognitive recovery, the quality of life, and activities of daily living in stroke patients.</a> J Back Musculoskelet Rehabil. 31 (6), 1059-1064 (2018).</li><li>Xu, D., Dongyan, Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Clinical+study+of+upper+limb+intelligent+feedback+rehabilitation+robot+combined+with+conventional+rehabilitation+therapy+to+improve+upper+limb+motor+function+in+stroke+patients.">Clinical study of upper limb intelligent feedback rehabilitation robot combined with conventional rehabilitation therapy to improve upper limb motor function in stroke patients.</a> Chinese J Rehab Med. 28, 11-17 (2018).</li><li>Gladstone, D. J., Danells, C. J., Black, S. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+fugl-meyer+assessment+of+motor+recovery+after+stroke:+A+critical+review+of+its+measurement+properties.">The fugl-meyer assessment of motor recovery after stroke: A critical review of its measurement properties.</a> Neurorehabil Neural Repair. 16 (3), 232-240 (2002).</li><li>Fugl-Meyer, A. R., J&#228;&#228;sk&#246;, L., Leyman, I., Olsson, S., Steglind, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+post-stroke+hemiplegic+patient.+1.+A+method+for+evaluation+of+physical+performance.">The post-stroke hemiplegic patient. 1. A method for evaluation of physical performance.</a> Scand J Rehabil Med. 7 (1), 13-31 (1975).</li><li>Vidmar, T., Goljar Kregar, N., Puh, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Reliability+of+the+modified+Ashworth+scale+after+stroke+for+13+muscle+groups.">Reliability of the modified Ashworth scale after stroke for 13 muscle groups.</a> Arch Phys Med Rehabil. 104 (10), 1606-1611 (2023).</li><li>Folstein, M. F., Folstein, S. E., Mchugh, P. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=#34;Mini-mental+state&amp;#34;.+A+practical+method+for+grading+the+cognitive+state+of+patients+for+the+clinician.">#34;Mini-mental state&amp;#34;. A practical method for grading the cognitive state of patients for the clinician.</a> J Psychiatr Res. 12 (3), 189-198 (1975).</li><li>Naghdi, S., Ansari, N. N., Mansouri, K., Hasson, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+neurophysiological+and+clinical+study+of+Brunnstrom+recovery+stages+in+the+upper+limb+following+stroke.">A neurophysiological and clinical study of Brunnstrom recovery stages in the upper limb following stroke.</a> Brain Inj. 24 (11), 1372-1378 (2010).</li><li>Leung, S. O., Chan, C. C., Shah, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Development+of+a+Chinese+version+of+the+modified+Barthel+index--+validity+and+reliability.">Development of a Chinese version of the modified Barthel index-- validity and reliability.</a> Clin Rehabil. 21 (10), 912-922 (2007).</li><li>Tong, Z. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Chinese+rehabilitation+guidelines+for+stroke+(2011+edition).">Chinese rehabilitation guidelines for stroke (2011 edition).</a> Chin J Rehabil Theory Pract. 18, 301-318 (2012).</li><li>Takebayashi, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Assessment+of+the+efficacy+of+reogo-j+robotic+training+against+other+rehabilitation+therapies+for+upper-limb+hemiplegia+after+stroke:+Protocol+for+a+randomized+controlled+trial.">Assessment of the efficacy of reogo-j robotic training against other rehabilitation therapies for upper-limb hemiplegia after stroke: Protocol for a randomized controlled trial.</a> Front Neurol. 9, 730 (2018).</li><li>Budhota, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Robotic+assisted+upper+limb+training+post-stroke:+A+randomized+control+trial+using+combinatory+approach+toward+reducing+workforce+demands.">Robotic assisted upper limb training post-stroke: A randomized control trial using combinatory approach toward reducing workforce demands.</a> Front Neurol. 12, 622014 (2021).</li><li>Mousavi Hondori, H., Khademi, M., Dodakian, L., Cramer, S. C., Lopes, C. V. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+spatial+augmented+reality+rehab+system+for+post-stroke+hand+rehabilitation.">A spatial augmented reality rehab system for post-stroke hand rehabilitation.</a> Stud Health Technol Inform. 184, 279-285 (2013).</li><li>Cipresso, P., Serino, S., Pedroli, E., Gaggioli, A., Riva, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+virtual+reality+platform+for+assessment+and+rehabilitation+of+neglect+using+a+kinect.">A virtual reality platform for assessment and rehabilitation of neglect using a kinect.</a> Stud Health Technol Inform. 196, 66-68 (2014).</li><li>Avola, D., Cinque, L., Foresti, G. L., Marini, M. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+interactive+and+low-cost+full+body+rehabilitation+framework+based+on+3d+immersive+serious+games.">An interactive and low-cost full body rehabilitation framework based on 3d immersive serious games.</a> J Biomed Inform. 89, 81-100 (2019).</li><li>Cordella, F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Hand+motion+analysis+during+robot-aided+rehabilitation+in+chronic+stroke.">Hand motion analysis during robot-aided rehabilitation in chronic stroke.</a> J Biol Regul Homeost Agents. 34 (5 Suppl 3), 45-52 (2020).</li><li>Air&#242; Farulla, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Vision-based+pose+estimation+for+robot-mediated+hand+telerehabilitation.">Vision-based pose estimation for robot-mediated hand telerehabilitation.</a> Sensors (Basel). 16 (2), 208 (2016).</li><li>Soekadar, S. R., Witkowski, M., Vitiello, N., Birbaumer, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+EEG/EOG-based+hybrid+brain-neural+computer+interaction+(bnci)+system+to+control+an+exoskeleton+for+the+paralyzed+hand.">An EEG/EOG-based hybrid brain-neural computer interaction (bnci) system to control an exoskeleton for the paralyzed hand.</a> Biomed Tech (Berl). 60 (3), 199-205 (2015).</li><li>Zhang, J., Wang, B., Zhang, C., Xiao, Y., Wang, M. Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+EEG/EMG/EOG-based+multimodal+human-machine+interface+to+real-time+control+of+a+soft+robot+hand.">An EEG/EMG/EOG-based multimodal human-machine interface to real-time control of a soft robot hand.</a> Front Neurorobot. 13, 7 (2019).</li><li>Rakhtala, S. M., Ghayebi, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Real-time+control+and+fabrication+of+a+soft+robotic+glove+by+two+parallel+sensors+with+mbd+approach.">Real-time control and fabrication of a soft robotic glove by two parallel sensors with mbd approach.</a> Med Eng Phys. 100, 103743 (2022).</li><li>Tang, X., Xinyu, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Cloud-based scenario interactive rehabilitation training and assessment system. , (2019).</li><li>Park, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+effect+of+task-oriented+training+on+the+muscle+activation+of+the+upper+extremity+in+chronic+stroke+patients.">The effect of task-oriented training on the muscle activation of the upper extremity in chronic stroke patients.</a> J Phys Ther Sci. 28 (4), 1384-1386 (2016).</li><li>Dongyan, X., Rujin, T., Jue, L., Gang, L., Yulian, Z. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Clinical+study+on+the+improvement+of+upper+limb+motor+function+in+stroke+patients+by+combining+upper+limb+intelligent+feedback+rehabilitation+robot+with+conventional+rehabilitation+treatment.">Clinical study on the improvement of upper limb motor function in stroke patients by combining upper limb intelligent feedback rehabilitation robot with conventional rehabilitation treatment.</a> J Rehab Med. 28 (02), 11-17 (2018).</li><li>Haiyan, Z., Fangchao, W., Jianhua, L., Zhiping, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effect+of+upper+limb+robot-assisted+training+on+upper+limb+function+in+stroke+patients.">Effect of upper limb robot-assisted training on upper limb function in stroke patients.</a> Chinese J Sports Med. 38 (10), 859-863 (2019).</li><li>Ichikawa, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stimulus-related+20-hz+activity+of+human+cortex+modulated+by+the+way+of+presenting+hand+actions.">Stimulus-related 20-hz activity of human cortex modulated by the way of presenting hand actions.</a> Neurosci Res. 58 (3), 285-290 (2007).</li><li>Zhang, H., Haiyan, Z. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+effects+of+upper+limb+rehabilitation+robot-assisted+training+on+upper+limb+function+in+stroke+patients.">The effects of upper limb rehabilitation robot-assisted training on upper limb function in stroke patients.</a> Chinese J Sports Med. 38, 859-863 (2019).</li></ol>

The authors declare no conflicts of interest or financial disclosures related to this study.

Building upon previous research20, this study adopts an integrated approach by combining robotic training for upper limb rehabilitation with conventional therapeutic methods for post-stroke recovery. The current findings suggest that this integration substantially enhances upper limb motor function and improves the ability to perform activities of daily living (ADLs), surpassing the outcomes achieved with traditional rehabilitation techniques alone.
This investigation e...

Stroke, identified as an acute neurological event caused by the blockage or rupture of cerebral vessels, interrupts brain circulation1, ranking as the second leading cause of death and a major contributor to long-term disability worldwide. On the initial day following a stroke, up to 80% of survivors experience upper limb dysfunction, with 30%-66% still facing challenges six months later2. After one year, those with upper limb impairments report heightened anxiety, diminished quality of life, and reduced happiness3. Moreover, by 16 months post-stroke, only about 60% of hemiplegic individuals requiring hospital rehabilitation attain functional independence in basic daily activities, with those suffering from sensory, motor, and visual impairments being significantly more reliant on caregiver support4. Additionally, upper limb dysfunction impedes hand utility, particularly noted by increased muscle tension among weakened flexors and extensors during physical tasks5.
Despite various rehabilitation efforts, effectively addressing upper limb injuries in stroke survivors presents a formidable challenge6. High-intensity, repetitive task training has shown optimal outcomes but demands considerable therapist involvement, leading to high costs and logistical burdens7. Therefore, low-cost interventions are needed that do not increase therapists' workload while increasing patient interest in training. The upper limb rehabilitation robot can serve as an alternative treatment to promote high-intensity exercise and reduce dependence on therapists1. It is a newly developed upper limb intelligent feedback rehabilitation robot system (see Table of Materials). The device can output objective metrics (such as speed, torque, range of motion, position, etc.) to assess and monitor patients' improvements and customize treatment according to varying degrees of motor impairment. It has high consistency and reproducibility for widespread use. Additionally, strong evidence supports high-intensity, high-repetitiveness, and task-oriented training in facilitating post-stroke motor recovery8.
On the other hand, rehabilitation robots are a relatively novel assistive treatment approach with advantages like high safety and durability9. The American Stroke Association recently released guidelines reporting that robot-assisted motor training can help patients improve post-stroke motor function and mobility in addition to conventional therapy10. A 2018 article in the Journal of Rehabilitation Medicine reported that combining robot-assisted training with conventional rehabilitation can significantly improve upper limb motor function in stroke patients, warranting clinical promotion11. The system includes four training modes: constant speed training, power-assisted training, active training, and resistance training, and can conduct assessments of joint range of motion. A review of robot-assisted rehabilitation for subacute stroke patients indicated that robotic interventions significantly improved upper extremity functions, particularly in shoulder, elbow, and forearm performance, as assessed by the Functional Independence Measure and Fugl-Meyer Assessment Scale. These interventions also enhanced daily living activities, improving the quality of life10.
This study aims to evaluate the effectiveness of an intelligent feedback rehabilitation robot in rehabilitating upper limb motor functions in patients with early post-stroke hemiplegia, providing a scientific basis for rehabilitation strategies for stroke patients with hemiplegia.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Upper Limb Rehabilitation Robot[Fourier M2]</td>
			<td>Shanghai Fourier Intelligence, China</td>
			<td>ArmMotus M2</td>
			<td>The upper limb intelligent force feedback motion control training system [M2] is a new generation of upper limb intelligent force feedback rehabilitation robot training system independently developed by Shanghai Fourier Intelligence. Based on core technologies such as force feedback, this training system can sense the patient&#39;s force and whether there is any spasticity when the patient completes the predetermined action, and then change the power assist or resistance of the device itself, so as to improve the upper limb motor dysfunction. Through goal-oriented training, M2 endows games with training, increases the enthusiasm of patients, and more effectively exercises the gross motor function and cognitive function of patients&#39; upper limbs.</td>
		</tr>
		<tr>
			<td>SAS software</td>
			<td>SAS Institute</td>
			<td></td>
			<td>https://www.sas.com/en_in/home.html</td>
		</tr>
		<tr>
			<td>SPSS software</td>
			<td>IBM</td>
			<td>version 26</td>
			<td>https://www.ibm.com/products/spss-statistics</td>
		</tr>
	</tbody>
</table>

enhancing upper limb function and motor skills post-stroke through an upper limb rehabilitation robot

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.

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

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

This research focuses on enhancing post-stroke upper limb rehabilitations using robotic technologies, aiming to improve motor recovery and functional outcomes. Our protocol offers real-time adaptation and personalized feedback, leading to more effective and engaging rehabilitation. Our future research will focus on improving robots therapy and combining it with virtual reality and AI to enhance rehabilitations outcomes.

A total of 24 patients were enrolled and randomly assigned to either the control or experimental group (Table 1). There was no statistically significant difference between the two groups for sex, age, disease duration, or stroke type (P &#62; 0.05). After 8 weeks of upper limb training, the Fugl-Meyer Assessment for Upper Extremity (FMA-UE)12 was used to evaluate upper limb motor function, while the Brunnstrom Recovery Stage for Arm (BRS-Arm)16 and...

This protocol describes an upper limb rehabilitation robot that provides intelligent feedback through four modes. These modes enhance upper limb function and flexibility, thereby improving patients' quality of life.

Cerebrovascular accidents, commonly known as strokes, represent a prevalent neurological event leading to significant upper limb disabilities, thereby ...

enhancing-upper-limb-function-motor-skills-post-stroke-through-an

Research

JoVE Journal

Medicine

361 Views.  Zhejiang University. This research focuses on enhancing post-stroke upper limb rehabilitations using robotic technologies, aiming to improve motor recovery and functional outcomes. Our protocol offers real-time adaptation and personalized feedback, leading to more effective and engaging rehabilitation. Our future research will focus on improving robots therapy and combining it with virtual reality and AI to enhance rehabilitations outcomes.

Video: Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Upper Limb Rehabilitation Using a Robot-Assisted Therapy System

To evaluate the joint range of motion and motor controllability, ask the patient to sit in front of the robot, maintaining the chest one punch away from the platform. Place the affected hand on the end processor of the robot. Use gloves and binders to secure the wrist and hand to prevent slip off during exercise.Ask the patient to move the upper arm to the maximum and extend it as far as possible. Put the healthy hand on the affected hand and maximally move the affected upper arm with the assistance of the healthy side. Set the motor control evaluation parameters, including target repetition times, single exercise time, and single relaxation time.Control the target point to move in different directions according to the motion path and direction displayed on the screen. Based on the patient's upper limb muscle movement, select the training mode. Select the appropriate training procedures based on the patient's evaluated motor control abilities and joint range of motion.Set the training time to 10 to 20 minutes. Now, set the range of motion according to the evaluated range of motion of the joint. Set the activity trajectory according to the characteristics of the upper arm muscle strength.Set the power assist or resistance value according to the muscle strength. Next, set the protection threshold using mechanical feedback technology to detect when the patient's strength reaches the threshold indicating spasms. In the virtual farm, ask the patient to control the small hands to grab fruits and vegetables and collect as many stars as possible.In the scene of the virtual military base, accurately control the bullseye to shoot all the eliminated monsters. In the dodge ball interface, on different roads and obstacles, control the ball to avoid obstacles of different colors to obtain gold coins. Then in the virtual space environment, ask the patient to control the position of the aircraft to shoot to destroy the virus while avoiding movement and enemy attacks.In quality ball control, control the ball to reach and stay in the bullseye. To play super ping-pong in the virtual ball environment, ask the patient to control the ping-pong board to hit the ball and play table tennis with the opponent. To engage in the block world, control bullseye shooting to destroy blocks, watch out for enemy attacks, and collect as many coins as possible.In the virtual ball interface, control the ball to touch the target, and score the ball. Watch out for enemy attacks and collect as many coins as possible. Finally, participate in legendary gunner.Ask the patient to hold the handle and continuously exert force in the direction of the arrow. Both the control and experimental groups showed significant improvement in FMAUE and BRS hand scores after rehabilitation training. While only the experimental group showed a significant increase in BRS-arm scores after rehabilitation.The upper limb rehabilitation robot training group demonstrated superior FMAUE scores compared to the control group post-treatment. The experimental group also showed a significant improvement in MBI scores post-treatment compared to the control group.