Mimicking muscle activity with electrical stimulation

Functional electrical stimulation is a rehabilitation technology that can restore some degree of motor function in individuals who have sustained a spinal cord injury or stroke. One way to identify the spatio-temporal patterns of muscle stimulation needed to elicit complex upper limb movements is to use electromyographic (EMG) activity recorded from able-bodied subjects as a template for electrical stimulation. However, this requires a transfer function to convert the recorded (or predicted) EMG signals into an appropriate pattern of electrical stimulation. Here we develop a generalized transfer function that maps EMG activity into a stimulation pattern that modulates muscle output by varying both the pulse frequency and the pulse amplitude. We show that the stimulation patterns produced by this transfer function mimic the active state measured by EMG insofar as they reproduce with good fidelity the complex patterns of joint torque and joint displacement.

[1]  O. Lippold,et al.  The relation between force, velocity and integrated electrical activity in human muscles , 1954, The Journal of physiology.

[2]  R. Stein,et al.  Changes in firing rate of human motor units during linearly changing voluntary contractions , 1973, The Journal of physiology.

[3]  G. Rau,et al.  Surface Electromyography in Relation to Force, Muscle Length and Endurance , 1973 .

[4]  A. Monster,et al.  Isometric force production by motor units of extensor digitorum communis muscle in man. , 1977, Journal of neurophysiology.

[5]  P. Crago,et al.  Modulation of Muscle Force by Recruitment During Intramuscular Stimulation , 1980, IEEE Transactions on Biomedical Engineering.

[6]  J. van den Berg,et al.  EMG to force processing I: An electrical analogue of the Hill muscle model. , 1981, Journal of biomechanics.

[7]  C. D. De Luca,et al.  Behaviour of human motor units in different muscles during linearly varying contractions , 1982, The Journal of physiology.

[8]  B. Bigland-ritchie,et al.  Linear and non-linear surface EMG/force relationships in human muscles. An anatomical/functional argument for the existence of both. , 1983, American journal of physical medicine.

[9]  C. D. De Luca,et al.  Myoelectric signal versus force relationship in different human muscles. , 1983, Journal of applied physiology: respiratory, environmental and exercise physiology.

[10]  N. Hoshimiya,et al.  Functional electrical stimulation for the control of the upper extremities. , 1987, Medical progress through technology.

[11]  J. T. Massey,et al.  Mental rotation of the neuronal population vector. , 1989, Science.

[12]  F. Zajac.  Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[13]  K.L. Kilgore,et al.  Synthesis of hand grasp using functional neuromuscular stimulation , 1989, IEEE Transactions on Biomedical Engineering.

[14]  N. Hoshimiya,et al.  A multichannel FES system for the restoration of motor functions in high spinal cord injury patients: a respiration-controlled system for multijoint upper extremity , 1989, IEEE Transactions on Biomedical Engineering.

[15]  J. F. Yang,et al.  Optimal stimulation of paralyzed muscle after human spinal cord injury. , 1992, Journal of applied physiology.

[16]  S A Binder-Macleod,et al.  Changes in the force-frequency relationship of the human quadriceps femoris muscle following electrically and voluntarily induced fatigue. , 1992, Physical therapy.

[17]  D. Winter,et al.  Models of recruitment and rate coding organization in motor-unit pools. , 1993, Journal of neurophysiology.

[18]  T Gordon,et al.  Muscle atrophy and procedures for training after spinal cord injury. , 1994, Physical therapy.

[19]  MH Schieber.  Muscular production of individuated finger movements: the roles of extrinsic finger muscles , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[20]  R. Shields,et al.  Fatigability, relaxation properties, and electromyographic responses of the human paralyzed soleus muscle. , 1995, Journal of neurophysiology.

[21]  M. Bobbert,et al.  Mechanical output from individual muscles during explosive leg extensions: the role of biarticular muscles. , 1996, Journal of biomechanics.

[22]  R. Jackson,et al.  Muscle atrophy is prevented in patients with acute spinal cord injury using functional electrical stimulation , 1998, Spinal Cord.

[23]  David A Jones,et al.  Contractile properties of the quadriceps muscle in individuals with spinal cord injury , 1999, Muscle & nerve.

[24]  A. Schwartz,et al.  Motor cortical activity during drawing movements: population representation during lemniscate tracing. , 1999 .

[25]  A. Scremin,et al.  Increasing muscle mass in spinal cord injured persons with a functional electrical stimulation exercise program. , 1999, Archives of physical medicine and rehabilitation.

[26]  A J Fuglevand,et al.  Force-frequency and fatigue properties of motor units in muscles that control digits of the human hand. , 1999, Journal of neurophysiology.

[27]  A. Sargeant,et al.  Altered contractile properties of the quadriceps muscle in people with spinal cord injury following functional electrical stimulated cycle training , 2000, Spinal Cord.

[28]  Jerald D. Kralik,et al.  Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.

[29]  F. Valero-Cuevas.  Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range. , 2000, Journal of neurophysiology.

[30]  K. Kilgore,et al.  Efficacy of an implanted neuroprosthesis for restoring hand grasp in tetraplegia: a multicenter study. , 2001, Archives of physical medicine and rehabilitation.

[31]  Nicholas G. Hatsopoulos,et al.  Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.

[32]  R. Shields,et al.  Muscular, skeletal, and neural adaptations following spinal cord injury. , 2002, The Journal of orthopaedic and sports physical therapy.

[33]  R. Kearney,et al.  The effects of long-term FES-assisted walking on intrinsic and reflex dynamic stiffness in spastic spinal-cord-injured subjects , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[34]  Richard B. Stein,et al.  Chapter 3 Electrical stimulation for therapy and mobility after spinal cord injury , 2002 .

[35]  Heather M Seifert,et al.  Restoration of Movement Using Functional Electrical Stimulation and Bayes' Theorem , 2002, The Journal of Neuroscience.

[36]  A. Hicks,et al.  Spasticity after spinal cord injury , 2005, Spinal Cord.

[37]  P.E. Crago,et al.  Functional restoration of elbow extension after spinal-cord injury using a neural network-based synergistic FES controller , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[38]  K. L. Kilgore,et al.  Grasp synthesis for upper-extremity FNS , 2006, Medical and Biological Engineering and Computing.

[39]  K. L. Kilgore,et al.  Grasp synthesis for upper-extremity FNS , 1993, Medical and Biological Engineering and Computing.

[40]  Stuart A Binder-Macleod,et al.  Contractile properties and the force-frequency relationship of the paralyzed human quadriceps femoris muscle. , 2006, Physical therapy.

[41]  K. Hunt,et al.  Long‐term intensive electrically stimulated cycling by spinal cord–injured people: Effect on muscle properties and their relation to power output , 2008, Muscle & nerve.

[42]  Stuart A Binder-Macleod,et al.  Using Customized Rate-Coding and Recruitment Strategies to Maintain Forces During Repetitive Activation of Human Muscles , 2008, Physical Therapy.

[43]  K. Kilgore,et al.  An implanted upper-extremity neuroprosthesis using myoelectric control. , 2008, The Journal of hand surgery.

[44]  J. A. Wilson,et al.  Two-dimensional movement control using electrocorticographic signals in humans , 2008, Journal of neural engineering.

[45]  R. Macko,et al.  Skeletal muscle changes after hemiparetic stroke and potential beneficial effects of exercise intervention strategies. , 2008, Journal of rehabilitation research and development.

[46]  Stuart A Binder-Macleod,et al.  The effectiveness of progressively increasing stimulation frequency and intensity to maintain paralyzed muscle force during repetitive activation in persons with spinal cord injury. , 2008, Archives of physical medicine and rehabilitation.

[47]  R. Shields,et al.  Muscle and bone plasticity after spinal cord injury: review of adaptations to disuse and to electrical muscle stimulation. , 2008, Journal of rehabilitation research and development.

[48]  Andrew J Fuglevand,et al.  Probability-based prediction of activity in multiple arm muscles: implications for functional electrical stimulation. , 2008, Journal of neurophysiology.

[49]  Andrew S. Whitford,et al.  Cortical control of a prosthetic arm for self-feeding , 2008, Nature.

[50]  Dimitra Blana,et al.  A musculoskeletal model of the upper extremity for use in the development of neuroprosthetic systems. , 2008, Journal of biomechanics.

[51]  Michael Kjær,et al.  Muscle after spinal cord injury , 2009, Muscle & nerve.

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

[53]  S. Solla,et al.  Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles , 2009, PloS one.

[54]  Andrew J Fuglevand,et al.  Evaluation of probabilistic methods to predict muscle activity: implications for neuroprosthetics , 2009, Journal of neural engineering.

[55]  Patrick E. Crago,et al.  Automated Optimal Coordination of Multiple-DOF Neuromuscular Actions in Feedforward Neuroprostheses , 2009, IEEE Transactions on Biomedical Engineering.

[56]  Fong-Chin Su,et al.  Effects of a functional electrical stimulation-assisted leg-cycling wheelchair on reducing spasticity of patients after stroke. , 2009, Journal of rehabilitation medicine.

[57]  Sean Ferrell,et al.  Sensitivity of 24-h EMG duration and intensity in the human vastus lateralis muscle to threshold changes. , 2010, Journal of applied physiology.

[58]  Christian Hofer,et al.  One year of home-based daily FES in complete lower motor neuron paraplegia: recovery of tetanic contractility drives the structural improvements of denervated muscle , 2010, Neurological research.