Neural machine interfaces for controlling multifunctional powered upper-limb prostheses

This article investigates various neural machine interfaces for voluntary control of externally powered upper-limb prostheses. Epidemiology of upper limb amputation, as well as prescription and follow-up studies of externally powered upper-limb prostheses are discussed. The use of electromyographic interfaces and peripheral nerve interfaces for prosthetic control, as well as brain machine interfaces suitable for prosthetic control, are examined in detail along with available clinical results. In addition, studies on interfaces using muscle acoustic and mechanical properties and the problem of interfacing sensory information to the nervous system are discussed.

[1]  Madeleine M. Lowery,et al.  Implantable Myoelectric Sensors (IMES) , 2005 .

[2]  T. Sinkjaer,et al.  Long-term biocompatibility of implanted polymer-based intrafascicular electrodes. , 2002, Journal of biomedical materials research.

[3]  Y Zilberman,et al.  Second-generation microstimulator. , 2002, Artificial organs.

[4]  John P. Donoghue,et al.  Connecting cortex to machines: recent advances in brain interfaces , 2002, Nature Neuroscience.

[5]  E Donchin,et al.  Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[6]  R.N. Scott,et al.  Two-channel enhancement of a multifunction control system , 1995, IEEE Transactions on Biomedical Engineering.

[7]  Toshio Tsuji,et al.  EMG-Based Motion Discrimination Using a Novel Recurrent Neural Network , 2003, Journal of Intelligent Information Systems.

[8]  P. Herberts.  The Control of upper-extremity prostheses and orthoses , 1974 .

[9]  David J. Edell,et al.  A Peripheral Nerve Information Transducer for Amputees: Long-Term Multichannel Recordings from Rabbit Peripheral Nerves , 1986, IEEE Transactions on Biomedical Engineering.

[10]  G. Lundborg,et al.  Hearing as substitution for sensation: a new principle for artificial sensibility. , 1999, The Journal of hand surgery.

[11]  Mu-Seong Mun,et al.  A real-time EMG pattern recognition based on linear-nonlinear feature projection for multifunction myoelectric hand , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[12]  K. Horch,et al.  Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs. , 2004, The Journal of hand surgery.

[13]  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).

[14]  Eduardo Fernández,et al.  Long-term stimulation and recording with a penetrating microelectrode array in cat sciatic nerve , 2004, IEEE Transactions on Biomedical Engineering.

[15]  Adrian D. C. Chan,et al.  A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses , 2005, IEEE Transactions on Biomedical Engineering.

[16]  G E Loeb,et al.  BION system for distributed neural prosthetic interfaces. , 2001, Medical engineering & physics.

[17]  William Z Rymer,et al.  Brain-computer interface technology: a review of the Second International Meeting. , 2003, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[18]  M. Yoshida,et al.  Compliant grasp in a myoelectric hand prosthesis , 2005, IEEE Engineering in Medicine and Biology Magazine.

[19]  E J MacKenzie,et al.  Incidence, acute care length of stay, and discharge to rehabilitation of traumatic amputee patients: an epidemiologic study. , 1998, Archives of physical medicine and rehabilitation.

[20]  Ashok Muzumdar.  Powered upper limb prostheses : control, implementation and clinical application , 2004 .

[21]  W Craelius,et al.  A biomimetic controller for a multifinger prosthesis. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[22]  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.

[23]  Angelo Davalli,et al.  Biofeedback for upper limb myoelectric prostheses , 2002 .

[24]  K. Horch,et al.  Effects of short-term training on sensory and motor function in severed nerves of long-term human amputees. , 2005, Journal of neurophysiology.

[25]  J. Davidson,et al.  A comparison of upper limb amputees and patients with upper limb injuries using the Disability of the Arm, Shoulder and Hand (DASH) , 2004, Disability and rehabilitation.

[26]  N. Accornero,et al.  Surface electromyography and mechanomyography recording: A new differential composite probe , 2006, Medical and Biological Engineering and Computing.

[27]  Richard F. Weir,et al.  THE EFFECT OF CONTROLLER DELAY ON BOX AND BLOCK TEST PERFORMANCE , 2005 .

[28]  Glyn H Heath.  Control of proportional grasping using a myokinemetric signal , 2003 .

[29]  Toshio Tsuji,et al.  A human-assisting manipulator teleoperated by EMG signals and arm motions , 2003, IEEE Trans. Robotics Autom..

[30]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces to restore motor function and probe neural circuits , 2003, Nature Reviews Neuroscience.

[31]  A. Esquenazi.  Amputation rehabilitation and prosthetic restoration. From surgery to community reintegration , 2004, Disability and rehabilitation.

[32]  G.F. Inbar,et al.  Classification of finger activation for use in a robotic prosthesis arm , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[33]  G. R. Muller,et al.  Brain oscillations control hand orthosis in a tetraplegic , 2000, Neuroscience Letters.

[34]  Todd A. Kuiken,et al.  Consideration of nerve-muscle grafts to improve the control of artificial arms , 2003 .

[35]  R R Riso,et al.  Strategies for providing upper extremity amputees with tactile and hand position feedback--moving closer to the bionic arm. , 1999, Technology and health care : official journal of the European Society for Engineering and Medicine.

[36]  C J De Luca.  Control of upper-limb prostheses: a case for neuroelectric control. , 1978, Journal of medical engineering & technology.

[37]  Byron K. Lichtenberg,et al.  Distinguishability of Functionally Distinct Evoked Neuroelectric Signals on the Surface of a Nerve , 1979, IEEE Transactions on Biomedical Engineering.

[38]  Silvestro Micera,et al.  A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems , 2005, Journal of the peripheral nervous system : JPNS.

[39]  B. Hudgins,et al.  REAL-TIME MYOELECTRIC CONTROL IN A VIRTUAL ENVIRONMENT TO RELATE USABILITY VS. ACCURACY , 2005 .

[40]  D. Atkins,et al.  Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities , 1996 .

[41]  P H Chappell,et al.  The Southampton Hand: an intelligent myoelectric prosthesis. , 1994, Journal of rehabilitation research and development.

[42]  R. Romo,et al.  Sensing without Touching Psychophysical Performance Based on Cortical Microstimulation , 2000, Neuron.

[43]  Carlo J. De Luca.  Control of upper-limb prostheses: a case for neuroelectric control. , 1978 .

[44]  E. Mackenzie,et al.  Epidemiology of limb loss and congenital limb deficiency: a review of the literature. , 2003, Archives of physical medicine and rehabilitation.

[45]  R.R. Riso,et al.  Chronic intraneural electrical stimulation for prosthetic sensory feedback , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

[46]  Toshio Tsuji,et al.  Brain activation during manipulation of the myoelectric prosthetic hand: a functional magnetic resonance imaging study , 2004, NeuroImage.

[47]  T. Sinkjaer,et al.  Implantable telemeter for long-term electroneurographic recordings in animals and humans , 2003, Medical and Biological Engineering and Computing.

[48]  Smith Dg,et al.  Atlas Of Amputations and Limb Deficiencies : Surgical, Prosthetic, and Rehabilitation Principles , 2004 .

[49]  P. Dario,et al.  Control of multifunctional prosthetic hands by processing the electromyographic signal. , 2002, Critical reviews in biomedical engineering.

[50]  P E Patterson,et al.  The use of self organizing maps to evaluate myoelectric signals. , 1999, Biomedical sciences instrumentation.

[51]  G. Lundborg,et al.  Sensory substitution in prosthetics. , 2001, Hand clinics.

[52]  I. Atroshi,et al.  Epidemiology of amputations and severe injuries of the hand. , 2001, Hand clinics.

[53]  G. Pfurtscheller,et al.  Graz-BCI: state of the art and clinical applications , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[54]  P A Mathieu,et al.  Mapping of the human upper arm muscle activity with an electrode matrix. , 2000, Electromyography and clinical neurophysiology.

[55]  N. Lago,et al.  Long term assessment of axonal regeneration through polyimide regenerative electrodes to interface the peripheral nerve. , 2005, Biomaterials.

[56]  J. Donoghue,et al.  Brain–Machine and Brain–Computer Interfaces , 2004, Stroke.

[57]  Kenneth W. Horch,et al.  Neuroprosthetics theory and practice , 2004 .

[58]  G. Lundborg,et al.  Refined myoelectric control in below-elbow amputees using artificial neural networks and a data glove. , 2005, The Journal of hand surgery.

[59]  K. Englehart,et al.  Classification of the myoelectric signal using time-frequency based representations. , 1999, Medical engineering & physics.

[60]  P. Kyberd,et al.  Invasive neural prosthesis for neural signal detection and nerve stimulation , 2004 .

[61]  Jonathon W. Sensinger,et al.  PHANTOM LIMB SENSORY FEEDBACK THROUGH NERVE TRANSFER SURGERY , 2005 .

[62]  R. H. Meier,et al.  Rehabilitation in limb deficiency. 4. Limb amputation. , 1996, Archives of physical medicine and rehabilitation.

[63]  T. Stieglitz,et al.  A biohybrid system to interface peripheral nerves after traumatic lesions: design of a high channel sieve electrode. , 2002, Biosensors & bioelectronics.

[64]  A. Taflove,et al.  Recording intramuscular EMG signals using surface electrodes , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[65]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[66]  R.Fff. Weir,et al.  A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[67]  Todd A. Kuiken,et al.  TRANSHUMERAL LEVEL FITTING AND OUTCOMES FOLLOWING TARGETED HYPER-REINNERVATION NERVE TRANSFER SURGERY , 2005 .

[68]  G. Kovacs,et al.  Regeneration microelectrode array for peripheral nerve recording and stimulation , 1992, IEEE Transactions on Biomedical Engineering.

[69]  F Trochu,et al.  Nerve cuff electrode with shape memory alloy armature: design and fabrication. , 2002, Bio-medical materials and engineering.

[70]  K. Horch,et al.  Acute peripheral nerve recording Characteristics of polymer-based longitudinal intrafascicular electrodes , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[71]  A. Branner,et al.  A multielectrode array for intrafascicular recording and stimulation in sciatic nerve of cats , 2000, Brain Research Bulletin.

[72]  Kevin Warwick,et al.  The application of implant technology for cybernetic systems. , 2003, Archives of neurology.

[73]  Robert D. Lipschutz,et al.  The use of targeted muscle reinnervation for improved myoelectric prosthesis control in a bilateral shoulder disarticulation amputee , 2004, Prosthetics and orthotics international.

[74]  G.S. Dhillon,et al.  Direct neural sensory feedback and control of a prosthetic arm , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[75]  Kevin B. Englehart,et al.  A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.

[76]  H Al-Nashash,et al.  Surface myoelectric signal classification for prostheses control , 2005, Journal of medical engineering & technology.

[77]  R. Scott,et al.  Myoelectric control of prostheses. , 1986, Critical reviews in biomedical engineering.

[78]  Adrian D. C. Chan,et al.  Continuous myoelectric control for powered prostheses using hidden Markov models , 2005, IEEE Transactions on Biomedical Engineering.

[79]  M. Osman Tokhi,et al.  A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis , 2003, IEEE Transactions on Biomedical Engineering.

[80]  Alcimar Soares,et al.  The Development of a Virtual Myoelectric Prosthesis Controlled by an EMG Pattern Recognition System Based on Neural Networks , 2004, Journal of Intelligent Information Systems.

[81]  Tom Chau,et al.  A self-contained, mechanomyography-driven externally powered prosthesis. , 2005, Archives of physical medicine and rehabilitation.

[82]  T. Kuiken,et al.  FITTING AND OUTCOMES OF A BILATERAL SHOULDER DISARTICULATION AMPUTEE FOLLOWING TARGETED HYPER-REINNERVATION NERVE TRANSFER SURGERY , 2005 .

[83]  C M Light,et al.  Intelligent multifunction myoelectric control of hand prostheses , 2002, Journal of medical engineering & technology.

[84]  K. Horch,et al.  Fabrication and characteristics of an implantable, polymer-based, intrafascicular electrode , 2003, Journal of Neuroscience Methods.

[85]  Kevin Englehart,et al.  Multifunction control of prostheses using the myoelectric signal , 2001 .

[86]  J.A. Flint,et al.  Biomimetic finger control by filtering of distributed forelimb pressures , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.