Daily life would be affected if the upper extremity is injured, especially for people with spinal cord injury, stroke and other neuromuscular disorders. In order to assist in the rehabilitation of these movement disorders, exoskeleton robots are developed. Based on the muscular length relationship and the Hill-type muscle model, a lightweight, soft exosuit is designed for elbow flexion and extension. The exosuit is composed of an actuation box and a wearing sleeve. The power is transmitted from the actuation box to the sleeve utilizing an artificial tendon transmission system. The detailed mechanism design is introduced, and the mathematical double artificial tendon transmission model is developed. Experiments and related simulations are followed to validate the model. The prototype of the soft exosuit is tested on a male subject, and the results indicate that the soft exosuit is capable and effective in helping the elbow joint with flexion and extension.
YueCLinXZhangX, et al. Design and performance evaluation of a wearable sensing system for lower-limb exoskeleton. Appl Bionics Biomech2018; 2018: 1–9.
2.
YapHKLimJHNasrallahF, et al. Design and preliminary feasibility study of a soft robotic glove for hand function assistance in stroke survivors. Front Neurosci2017; 11: 547–614.
3.
HolandaLJSilvaPMMAmorimTC, et al. Robotic assisted gait as a tool for rehabilitation of individuals with spinal cord injury: a systematic review. J Neuroeng Rehabil2017; 14(1): 126.
4.
NiyetkaliyevASHussainSGhayeshMH, et al. Review on design and control aspects of robotic shoulder rehabilitation orthoses. IEEE Trans Human-Machine Syst2017; 47: 1134–1145.
5.
HillDHollowayCSMorgado RamirezDZ, et al. What are user perspectives of exoskeleton technology? A literature review. Int J Technol Assess Health Care2017; 33: 160–167.
6.
LiuDChenWPeiZ, et al. A brain-controlled lower-limb exoskeleton for human gait training. Rev Sci Instrum2017; 88: 104302.
7.
YeWLiZYangC, et al. Motion detection enhanced control of an upper limb exoskeleton robot for rehabilitation training. Int J Humanoid Robot2017; 14: 42–44.
8.
LiZHuangZHeW, et al. Adaptive impedance control for an upper limb robotic exoskeleton using biological signals. IEEE Trans Ind Electron2017; 64: 1664–1674.
9.
LaschowskiBMcPheeJAndrysekJ. Lower-limb prostheses and exoskeletons with energy regeneration: mechatronic design and optimization review. J Mech Robot2019; 11: 1–43.
10.
AsbeckATDe RossiSMMHoltKG, et al. A biologically inspired soft exosuit for walking assistance. Int J Rob Res2015; 34: 744–762.
11.
HofmannUATButzerTLambercyO, et al. Design and evaluation of a Bowden-cable-based remote actuation system for wearable robotics. IEEE Robot Autom Lett2018; 3: 2101–2108.
12.
AsbeckATSchmidtKWalshCJ. Soft exosuit for hip assistance. Robot Auton Syst2015; 73: 102–110.
13.
JinSGuoSKazunobuH, et al. Influence of a soft robotic suit on metabolic cost in long-distance level and inclined walking. Appl Bionics Biomech2018; 2018: 1–8.
14.
DingYGalianaIAsbeckAT, et al. Biomechanical and physiological evaluation of multi-joint assistance with soft exosuits. IEEE Trans Neural Syst Rehabil Eng2017; 25: 119–130.
15.
DingYPanizzoloFASiviyC, et al. Effect of timing of hip extension assistance during loaded walking with a soft exosuit. J Neuroeng Rehabil2016; 13: 87.
AsbeckATDyerRJLarussonAF, et al. Biologically-inspired soft exosuit. IEEE Int Conf Rehabil Robot2013; 2013: 6650455–6650458.
18.
QuinlivanBTLeeSMalcolmP, et al. Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit. Sci Robot2017; 2: 4416–4426.
19.
PanizzoloFAGalianaIAsbeckAT, et al. A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking. J Neuroeng Rehabil2016; 13: 43.
20.
XiloyannisMCappelloLBinhKD, et al. Preliminary design and control of a soft exosuit for assisting elbow movements and hand grasping in activities of daily living. J Rehabil Assist Technol Eng2017; 4: 2055668316680315.
21.
XiloyannisMChiaradiaDFrisoliA, et al. Physiological and kinematic effects of a soft exosuit on arm movements. J Neuroeng Rehabil2019; 16(1): 29.
22.
LessardSPansodteePRobbinsA, et al. A soft exosuit for flexible upper-extremity rehabilitation. IEEE Trans Neural Syst Rehabil Eng2018; 26: 1604–1617.
23.
GaponovIPopovDLeeSJ, et al. Auxilio: A portable cable-driven exosuit for upper extremity assistance. Int J Control Autom Syst2017; 15: 73–84.
24.
LiNYangTYuP, et al. Bio-Inspired upper limb soft exoskeleton to reduce stroke-induced complications. Bioinspir Biomim2018; 13: 066001.
25.
DelpSLAndersonFCArnoldAS, et al. OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng2007; 54: 1940–1950.
26.
KleinbachCMartynenkoOPromiesJ, et al. Implementation and validation of the extended hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. Biomed Eng Online2017; 16(1): 109.
ShaoZWuQChenB, et al. Force and deformation transmission characteristics of a compliant tendon–sheath actuation system based on Hill-type muscle model. Proc IMechE, Part H: J Engineering in Medicine2019; 233: 695–705.
29.
ShaoZWuQChenB, et al. Modeling and inverse control of a compliant single-tendon-sheath artificial tendon actuator with bending angle compensation. Mechatronics2019; 63: 102262.
30.
LiZWangBSunF, et al. SEMG-based joint force control for an upper-limb power-assist exoskeleton robot. IEEE J Biomed Heal Informatics2014; 18: 1043–1050.
31.
LuLWuQChenX, et al. Development of a sEMG-based torque estimation control strategy for a soft elbow exoskeleton. Robot Auton Syst2019; 111: 88–98.
