Quasi-Passive Resistive Exosuit for Space Activities: Proof of Concept

The limits of space travel are continuously evolving, and this creates increasingly extreme challenges for the crew’s health that must be addressed by the scientific community. Long-term exposure to micro-gravity, during orbital flights, contributes to muscle strength degradation and increases bone density loss. In recent years, several exercise devices have been developed to counteract the negative health effects of zero-gravity on astronauts. However, the relatively large size of these devices, the need for a dedicated space and the exercise time-frame for each astronaut, does not make these devices the best choice for future long range exploration missions. This paper presents a quasi-passive exosuit to provide muscle training using a small, portable, proprioceptive device. The exosuit promotes continuous exercise, by resisting the user’s motion, during routine all-day activity. This study assesses the effectiveness of the resistive exosuit by evaluating its effects on muscular endurance during a terrestrial walking task. The experimental assessment on biceps femoris and vastus lateralis, shows a mean increase in muscular activation of about 97.8% during five repetitions of 3 min walking task at 3 km/h. The power frequency analysis shows an increase in muscular fatigue with a reduction of EMG median frequency of about 15.4% for the studied muscles.

[1]  Cuntai Guan,et al.  A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration , 2019, Biomed. Signal Process. Control..

[2]  Mariano Serrao,et al.  A new muscle co-activation index for biomechanical load evaluation in work activities , 2015, Ergonomics.

[3]  T. Ren,et al.  Scalable fabrication of high-performance and flexible graphene strain sensors. , 2014, Nanoscale.

[4]  S. Chatterji,et al.  Trends and Challenges in EMG Based Control Scheme of Exoskeleton Robots- A Review , 2012 .

[5]  Giancarlo Canavese,et al.  Flexible Tactile Sensing Based on Piezoresistive Composites: A Review , 2014, Sensors.

[6]  Motoji Yamamoto,et al.  Experimental Evaluation of Energy Efficiency for a Soft Wearable Robotic Suit , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  Massimo Totaro,et al.  Soft Smart Garments for Lower Limb Joint Position Analysis , 2017, Sensors.

[8]  Ali Sadeghi,et al.  A Vacuum Powered Soft Textile-Based Clutch , 2019, Actuators.

[9]  J. Perry,et al.  Rate and range of knee motion during ambulation in healthy and arthritic subjects. , 1985, Physical therapy.

[10]  Gregory de Boer,et al.  Robust and high-performance soft inductive tactile sensors based on the Eddy-current effect , 2018 .

[11]  Constantinos Mavroidis,et al.  Active Knee Rehabilitation Orthotic Device With Variable Damping Characteristics Implemented via an Electrorheological Fluid , 2010, IEEE/ASME Transactions on Mechatronics.

[12]  R. Ham,et al.  Compliant actuator designs , 2009, IEEE Robotics & Automation Magazine.

[13]  Thomas B. Schön,et al.  Using Inertial Sensors for Position and Orientation Estimation , 2017, Found. Trends Signal Process..

[14]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[15]  Heinrich M. Jaeger,et al.  Universal robotic gripper based on the jamming of granular material , 2010, Proceedings of the National Academy of Sciences.

[16]  Mario Cifrek,et al.  Surface EMG based muscle fatigue evaluation in biomechanics. , 2009, Clinical biomechanics.

[17]  Mariangela Manti,et al.  Stiffening in Soft Robotics: A Review of the State of the Art , 2016, IEEE Robotics & Automation Magazine.

[18]  Aurelio Cappozzo,et al.  Joint kinematics estimate using wearable inertial and magnetic sensing modules. , 2008, Gait & posture.

[19]  M. Morari,et al.  Robotic Orthosis Lokomat: A Rehabilitation and Research Tool , 2003, Neuromodulation : journal of the International Neuromodulation Society.

[20]  Eva Majkova,et al.  Cyclopean gauge factor of the strain-resistance transduction of indium oxide films , 2016 .

[21]  Rebecca K. Kramer,et al.  Low‐Cost, Facile, and Scalable Manufacturing of Capacitive Sensors for Soft Systems , 2017 .

[22]  A. Hof,et al.  EMG median power frequency in an exhausting exercise. , 1993, Journal of Electromyography & Kinesiology.

[23]  Massimo Totaro,et al.  A Wearable Sensory Textile‐Based Clutch with High Blocking Force , 2019, Advanced Engineering Materials.

[24]  K. Hata,et al.  A stretchable carbon nanotube strain sensor for human-motion detection. , 2011, Nature nanotechnology.

[25]  Ken Endo,et al.  A Quasi-Passive Leg Exoskeleton for Load-Carrying Augmentation , 2007, Int. J. Humanoid Robotics.

[26]  Hongwei Zhu,et al.  Recent advances in wearable tactile sensors: Materials, sensing mechanisms, and device performance , 2017 .

[27]  Conor J. Walsh,et al.  Stronger, Smarter, Softer: Next-Generation Wearable Robots , 2014, IEEE Robotics & Automation Magazine.

[28]  Kevin O'Brien,et al.  Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides , 2016, Science Robotics.

[29]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[30]  Berk Gonenc,et al.  Linear magnetorheological brake with serpentine flux path as a high force and low off-state friction actuator for haptics , 2013 .

[31]  A. Leblanc,et al.  Skeletal responses to space flight and the bed rest analog: a review. , 2007, Journal of musculoskeletal & neuronal interactions.

[32]  Ki-Uk Kyung,et al.  Polymer‐Waveguide‐Based Flexible Tactile Sensor Array for Dynamic Response , 2014, Advanced materials.

[33]  A. Ghasemi,et al.  Normality Tests for Statistical Analysis: A Guide for Non-Statisticians , 2012, International journal of endocrinology and metabolism.

[34]  D. Floreano,et al.  All‐Fabric Wearable Electroadhesive Clutch , 2018, Advanced Materials Technologies.

[35]  R. Fitts,et al.  Physiology of a microgravity environment invited review: microgravity and skeletal muscle. , 2000, Journal of applied physiology.

[36]  Scott M Smith,et al.  Bone Markers, Calcium Metabolism, and Calcium Kinetics During Extended‐Duration Space Flight on the Mir Space Station , 2004, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[37]  Leonard O'Sullivan,et al.  Design and Evaluation of a Soft Assistive Lower Limb Exoskeleton , 2019, Robotica.

[38]  Massimo Totaro,et al.  Toward Perceptive Soft Robots: Progress and Challenges , 2018, Advanced science.

[39]  Igor Zubrycki,et al.  Novel Haptic Device Using Jamming Principle for Providing Kinaesthetic Feedback in Glove-Based Control Interface , 2016, Journal of Intelligent & Robotic Systems.

[40]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[41]  C. Walsh,et al.  A soft robotic exosuit improves walking in patients after stroke , 2017, Science Translational Medicine.

[42]  Thomas Seel,et al.  IMU-Based Joint Angle Measurement for Gait Analysis , 2014, Sensors.

[43]  Robert J. Wood,et al.  Wearable soft sensing suit for human gait measurement , 2014, Int. J. Robotics Res..

[44]  R. Meeusen,et al.  Continuous low- to moderate-intensity exercise training is as effective as moderate- to high-intensity exercise training at lowering blood HbA1c in obese type 2 diabetes patients , 2009, Diabetologia.

[45]  Scott M Smith,et al.  Musculoskeletal adaptations to training with the advanced resistive exercise device. , 2011, Medicine and science in sports and exercise.

[46]  P. Cavanagh,et al.  Exercise and pharmacological countermeasures for bone loss during long-duration space flight. , 2005, Gravitational and space biology bulletin : publication of the American Society for Gravitational and Space Biology.

[47]  E S Grood,et al.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. , 1983, Journal of biomechanical engineering.

[48]  M. Goldfarb,et al.  Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[49]  I. Park,et al.  Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications , 2020, Adv. Intell. Syst..

[50]  Kristi Blazine,et al.  Training with the International Space Station interim resistive exercise device. , 2003, Medicine and science in sports and exercise.

[51]  Scott M Smith,et al.  Benefits for bone from resistance exercise and nutrition in long‐duration spaceflight: Evidence from biochemistry and densitometry , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[52]  R A Winett,et al.  Effects of regular and slow speed resistance training on muscle strength. , 2001, The Journal of sports medicine and physical fitness.

[53]  Linda Shore,et al.  Exoscore: A Design Tool to Evaluate Factors Associated With Technology Acceptance of Soft Lower Limb Exosuits by Older Adults , 2020, Hum. Factors.

[54]  H. Genant,et al.  Cortical and Trabecular Bone Mineral Loss From the Spine and Hip in Long‐Duration Spaceflight , 2004, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[55]  C David Remy,et al.  Smart Braid Feedback for the Closed-Loop Control of Soft Robotic Systems. , 2017, Soft robotics.

[56]  B E Ainsworth,et al.  Compendium of physical activities: an update of activity codes and MET intensities. , 2000, Medicine and science in sports and exercise.

[57]  Jaime E. Duarte,et al.  The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers , 2017, Front. Neurorobot..

[58]  Zhenan Bao,et al.  Pursuing prosthetic electronic skin. , 2016, Nature materials.

[59]  Laurence Vico,et al.  Adaptation of the Skeletal System During Long-Duration Spaceflight , 2007 .

[60]  Nigel H. Lovell,et al.  A review of tactile sensing technologies with applications in biomedical engineering , 2012 .

[61]  Jonathan Rossiter,et al.  3D-Printed Ready-To-Use Variable-Stiffness Structures , 2018, IEEE Robotics and Automation Letters.

[62]  Lorenzo Grazi,et al.  Classification of Lifting Techniques for Application of A Robotic Hip Exoskeleton , 2019, Sensors.

[63]  Gordon Cheng,et al.  New materials and advances in making electronic skin for interactive robots , 2015, Adv. Robotics.

[64]  Sungjoon Lim,et al.  Review of Recent Inkjet-Printed Capacitive Tactile Sensors , 2017, Sensors.

[65]  Jeffrey Brief Behavioral Health and Performance , 2013 .

[66]  N. Ishii,et al.  Effects of low-intensity resistance exercise with slow movement and tonic force generation on muscular function in young men. , 2006, Journal of applied physiology.

[67]  Giorgio Grioli,et al.  Variable Stiffness Actuators: Review on Design and Components , 2016, IEEE/ASME Transactions on Mechatronics.

[68]  Ralph N. Carpinelli,et al.  EXERCISE COUNTERMEASURE TO WEIGHTLESSNESS DURING MANNED SPACEFLIGHT , 2014 .

[69]  Danny A Riley,et al.  Exercise in space: human skeletal muscle after 6 months aboard the International Space Station. , 2009, Journal of applied physiology.

[70]  R. Fitts,et al.  Functional and structural adaptations of skeletal muscle to microgravity. , 2001, The Journal of experimental biology.

[71]  Daniel M. Vogt,et al.  Batch Fabrication of Customizable Silicone‐Textile Composite Capacitive Strain Sensors for Human Motion Tracking , 2017 .

[72]  Sarah S. Bedair,et al.  Bubble inductors: Pneumatic tuning of a stretchable inductor , 2018 .

[73]  Eduardo Rocon,et al.  Pneumatic Quasi-Passive Actuation for Soft Assistive Lower Limbs Exoskeleton , 2020, Frontiers in Neurorobotics.

[74]  Tingfang Yan,et al.  Review of assistive strategies in powered lower-limb orthoses and exoskeletons , 2015, Robotics Auton. Syst..

[75]  L. Beccai,et al.  Flexible Three‐Axial Force Sensor for Soft and Highly Sensitive Artificial Touch , 2014, Advanced materials.

[76]  Nikolaos G. Tsagarakis,et al.  "Soft" Exoskeletons for Upper and Lower Body Rehabilitation - Design, Control and Testing , 2007, Int. J. Humanoid Robotics.

[77]  Agnes Roby-Brami,et al.  Upper-Limb Robotic Exoskeletons for Neurorehabilitation: A Review on Control Strategies , 2016, IEEE Reviews in Biomedical Engineering.

[78]  Mariano Serrao,et al.  Progression of Gait Ataxia in Patients with Degenerative Cerebellar Disorders: a 4-Year Follow-Up Study , 2016, The Cerebellum.

[79]  N. Dimitrova,et al.  Muscle fatigue during dynamic contractions assessed by new spectral indices. , 2006, Medicine and science in sports and exercise.

[80]  Jan Babič,et al.  Real-Time Control of Quasi-Active Hip Exoskeleton Based on Gaussian Mixture Model Approach , 2018, Biosystems & Biorobotics.

[81]  Kaspar Althoefer,et al.  Multi-fingered haptic palpation utilizing granular jamming stiffness feedback actuators , 2014 .

[82]  D. S. V. Bandara,et al.  Recent Trends in EMG-Based Control Methods for Assistive Robots , 2013 .