The History and Future of LEGS

Thanks to modern protective equipment and advanced medical solutions, many service members now survive severe limb injuries that in previous wars would have been lethal. Unfortunately, these injuries can be devastating, requiring amputation, reconstruction, and prosthetics to restore function. Military research and development has taken the lead in addressing these challenges, establishing advanced prosthetic solutions as a top priority to meet the needs of injured service members. One such solution is conceived as a manufacturer-agnostic, interoperable lower extremity gait system (LEGS) to restore ambulatory function. As envisioned, the LEGS system would be adaptively responsive and volitionally controlled by the user and configured to maximize component compatibility through the use of open standards. In this chapter, we summarize the primary concerns and considerations that were addressed as objectives through the LEGS initiative, emphasizing essential design features and componentry, including control, sockets, bus, power, algorithms, and the need for open source and open standards to support meaningful and efficient scientific and technical collaboration. Critical knowledge gaps, capability gaps, component limitations, and nontechnical considerations point to the need for additional research and development. These efforts will require significant funding, commitment, and convergence of scientific and engineering resources. We hope that the knowledge and ideas presented here and throughout this volume will stimulate further progress toward the successful realization of advanced solutions such as LEGS.

[1]  Glenn K Klute,et al.  Prosthetic Liners for Lower Limb Amputees: A Review of the Literature , 2010, Prosthetics and orthotics international.

[2]  Yang Hao,et al.  Wireless body sensor networks for health-monitoring applications , 2008, Physiological measurement.

[3]  Sofia Pettersson,et al.  Engineering three-dimensional cartilage- and bone-like tissues using human dermal fibroblasts and macroporous gelatine microcarriers. , 2010, Journal of plastic, reconstructive & aesthetic surgery : JPRAS.

[4]  W. S. Grundfest,et al.  Promoting Innovation and Convergence in Military Medicine: Technology-Inspired Problem Solving , 2012, IEEE Circuits and Systems Magazine.

[5]  M. Ferguson,et al.  Tissue engineering of replacement skin: the crossroads of biomaterials, wound healing, embryonic development, stem cells and regeneration , 2007, Journal of The Royal Society Interface.

[6]  Daniel R Merrill,et al.  Development of an implantable myoelectric sensor for advanced prosthesis control. , 2011, Artificial organs.

[7]  Mikhail A Lebedev,et al.  Future developments in brain-machine interface research , 2011, Clinics.

[8]  Hugh M. Herr,et al.  New horizons for orthotic and prosthetic technology: artificial muscle for ambulation , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[9]  Babak Mahmoudi,et al.  Single-channel EEG-based prosthetic hand grasp control for amputee subjects , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[10]  Nicholas G Hatsopoulos,et al.  The science of neural interface systems. , 2009, Annual review of neuroscience.

[11]  V. Gorantla,et al.  Lower Extremity Transplantation: Concepts, Challenges, and Controversies , 2017 .

[12]  Gordon D. Moskowitz,et al.  Myoelectric Pattern Recognition for Use in the Volitional Control of Above-Knee Prostheses , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  E. Lai,et al.  Limb Regrowth and Tissue Engineering Alternatives , 2017 .

[14]  Andrew B. Schwartz,et al.  Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.

[15]  Michael A. Peshkin,et al.  A Highly Backdrivable, Lightweight Knee Actuator for Investigating Gait in Stroke , 2009, IEEE Transactions on Robotics.

[16]  Bram Vanderborght,et al.  Concept of a Series-Parallel Elastic Actuator for a Powered Transtibial Prosthesis , 2013 .

[17]  M. Shahinpoor Synthetic and Biological Multifunctional Smart Materials Applications to Lower Extremity Gait Systems , 2017 .

[18]  Jae Wook Jeon,et al.  Experimental investigations on behavior of IPMC polymer actuator and artificial muscle-like linear actuator , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[19]  D. Butler,et al.  Use of mesenchymal stem cells in a collagen matrix for achilles tendon repair , 1998, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[20]  Gernot R. Müller-Putz,et al.  Control of an Electrical Prosthesis With an SSVEP-Based BCI , 2008, IEEE Transactions on Biomedical Engineering.

[21]  H. Herr,et al.  A Clinical Comparison of Variable-Damping and Mechanically Passive Prosthetic Knee Devices , 2005, American journal of physical medicine & rehabilitation.

[22]  Philip R. Troyk,et al.  Implantable myoelectric sensors (IMES) for upper-extremity prosthesis control- preliminary work , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[23]  Philip R. Troyk,et al.  Implantable Myoelectric Sensors (IMESs) for Intramuscular Electromyogram Recording , 2009, IEEE Transactions on Biomedical Engineering.

[24]  B Hudgins,et al.  Myoelectric signal processing for control of powered limb prostheses. , 2006, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[25]  N. Costa,et al.  Control of a Biomimetic "Soft-actuated" 10DoF Lower Body Exoskeleton , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[26]  R. Oreffo,et al.  Future potentials for using osteogenic stem cells and biomaterials in orthopedics. , 1999, Bone.

[27]  Hugh M. Herr,et al.  Cyborg Technology—Biomimetic Orthotic and Prosthetic Technology , 2003 .

[28]  Denny J. Padgett,et al.  Gait and balance of transfemoral amputees using passive mechanical and microprocessor-controlled prosthetic knees. , 2007, Gait & posture.

[29]  Daniel P Ferris,et al.  An improved powered ankle-foot orthosis using proportional myoelectric control. , 2006, Gait & posture.

[30]  Kevin B. Fite,et al.  Overview of the Components Used in Active and Passive Lower-Limb Prosthetic Devices , 2017 .

[31]  Robert D. Lipschutz,et al.  Robotic leg control with EMG decoding in an amputee with nerve transfers. , 2013, The New England journal of medicine.

[32]  Roger N. Rovekamp,et al.  Wearable robotic approaches to lower extremity gait systems , 2017 .

[33]  Daniel P Ferris,et al.  Motor control and learning with lower-limb myoelectric control in amputees. , 2013, Journal of rehabilitation research and development.

[34]  Michael Goldfarb,et al.  Volitional Control of a Prosthetic Knee Using Surface Electromyography , 2011, IEEE Transactions on Biomedical Engineering.

[35]  T. Schmalz,et al.  Energy expenditure and biomechanical characteristics of lower limb amputee gait: the influence of prosthetic alignment and different prosthetic components. , 2002, Gait & posture.

[36]  Natanel Korin,et al.  Engineering Human Embryonic Stem Cell Differentiation , 2007, Biotechnology & genetic engineering reviews.

[37]  Jan H B Geertzen,et al.  University of Groningen Skin Problems of the Stump in Lower Limb Amputees Meulenbelt, , 2011 .

[38]  Fan Zhang,et al.  Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion , 2011, IEEE Transactions on Biomedical Engineering.

[39]  E. Fetz Volitional control of neural activity: implications for brain–computer interfaces , 2007, The Journal of physiology.

[40]  Hugh Herr,et al.  Exoskeletons and orthoses: classification, design challenges and future directions , 2009, Journal of NeuroEngineering and Rehabilitation.

[41]  A. Caplan,et al.  Mesenchymal stem cells: environmentally responsive therapeutics for regenerative medicine , 2013, Experimental & Molecular Medicine.

[42]  P H Peckham,et al.  Applications of cortical signals to neuroprosthetic control: a critical review. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[43]  Robert Riener,et al.  Control strategies for active lower extremity prosthetics and orthotics: a review , 2015, Journal of NeuroEngineering and Rehabilitation.

[44]  A. Akar,et al.  Skin problems in amputees: a descriptive study , 2008, International journal of dermatology.

[45]  C. D. Hoover,et al.  Stair Ascent With a Powered Transfemoral Prosthesis Under Direct Myoelectric Control , 2013, IEEE/ASME Transactions on Mechatronics.

[46]  J. Czerniecki,et al.  Kinematic and kinetic comparisons of transfemoral amputee gait using C-Leg and Mauch SNS prosthetic knees. , 2006, Journal of rehabilitation research and development.

[47]  E. Mackenzie,et al.  Limb Amputation Versus Limb Salvage , 2017 .

[48]  Kianoush Nazarpour,et al.  Artificial Proprioceptive Feedback for Myoelectric Control , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[49]  Nicolas Y. Masse,et al.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.

[50]  Ning Jiang,et al.  Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal , 2009, IEEE Transactions on Biomedical Engineering.

[51]  Robert Gailey,et al.  Sacrifice, Science, and Support: A History of Modern Prosthetics , 2017 .

[52]  Shawn C Marshall,et al.  Dermatologic conditions associated with use of a lower-extremity prosthesis. , 2005, Archives of physical medicine and rehabilitation.

[53]  Miguel A. L. Nicolelis,et al.  Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex , 1999, Nature Neuroscience.

[54]  Levi J. Hargrove,et al.  Volitional Control Research , 2017 .

[55]  Hugh Herr,et al.  A swimming robot actuated by living muscle tissue , 2004, Journal of NeuroEngineering and Rehabilitation.

[56]  P H Peckham,et al.  EEG-based control of a hand grasp neuroprosthesis. , 1999, Neuroreport.

[57]  P. Pasquina,et al.  Lower Limb Disability: Present Military and Civilian Needs , 2017 .

[58]  R. Normann,et al.  Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex , 1998, Journal of Neuroscience Methods.

[59]  Hannes Bleuler,et al.  Active tactile exploration enabled by a brain-machine-brain interface , 2011, Nature.

[60]  Dennis A. Turner,et al.  The development of brain-machine interface neuroprosthetic devices , 2011, Neurotherapeutics.

[61]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.