Manipulation of Muscle Force with Various Firing Rate and Recruitment Control Strategies

A computer-controlled, dual-channel neuromuscular stimulation system capable of manipulating skeletal muscle force with a wide range of action potential firing rates and motor-unit recruitment control strategies was designed and evaluated on the m. gastrocnemius muscle of the cat. The muscle force could be controlled with control strategies in which motor unit recruitment accounted for from 50 percent and up to 100 percent of the initial muscle force while firing rate induced the remaining force segment. The force response to linearly increasing recruitment was linear, whereas a saturation nonlinearity was evident in response to the firing rate input. Initial and terminal nonlinear force segments during 100 percent recruitment range were shown to be due to the viscoelastic components of the muscle fibers and their tendons. Recruitment of the muscle's motor units at rates that generated from 36 percent/s and up to 360 percent/s of the maximal force range was shown to correlate linearly to the input stimulus (R 0.9889). Reduction of the maximal firing rate from 55 to 40 pps showed that although minimization of fatigue at a cost of 10 percent reduction in the maximal force is possible, the correlation of the force response to the input signal remains high (R 0.9929) and linear. Some preliminary conclusions about rehabilitative applications were drawn based on the data presented in conjunction with previous studies.

[1]  R. Burke,et al.  Anatomy and innervation ratios in motor units of cat gastrocnemius , 1973, The Journal of physiology.

[2]  V. Brooks,et al.  Reduction of quantum content during neuromuscular transmission , 1962, The Journal of physiology.

[3]  E Eldred,et al.  Fatigue considerations of muscle contractile force during high-frequency stimulation. , 1983, American journal of physical medicine.

[4]  R. D'ambrosia,et al.  The EMG-Force Model of Electrically Stimulated Muscle: Dependence on Control Strategy and Predominant Fiber Composition , 1987, IEEE Transactions on Biomedical Engineering.

[5]  D T McRuer,et al.  Small perturbation dynamics of the neuromuscular system in tracking tasks. NASA CR-1212. , 1968, NASA contractor report. NASA CR. United States. National Aeronautics and Space Administration.

[6]  J. Erlanger,et al.  A COMPARISON OF THE CHARACTERISTICS OF AXONS THROUGH THEIR INDIVIDUAL ELECTRICAL RESPONSES , 1933 .

[7]  E. Henneman,et al.  Orderly recruitment of muscle action potentials. , 1968, Archives of Neurology.

[8]  Restoration of movement by electrical stimulation: a contemporary view of the basic problems. , 1984, Orthopedics.

[9]  Y. Nonomura,et al.  Presynaptic nature of neuromuscular depression. , 1962, The Japanese journal of physiology.

[10]  L D PARTRIDGE,et al.  MODIFICATIONS OF NEURAL OUTPUT SIGNALS BY MUSCLES: A FREQUENCY RESPONSE STUDY. , 1965, Journal of applied physiology.

[11]  D. Jones,et al.  Human skeletal muscle function: description of tests and normal values. , 1977, Clinical science and molecular medicine.

[12]  H Thoma,et al.  Functional electrostimulation of paraplegics: experimental investigations and first clinical experience with an implantable stimulation device. , 1984, Orthopedics.

[13]  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.

[14]  A viscoelastic interaction which produces one component of adaptation in responses of Golgi tendon organs. , 1967, Journal of neurophysiology.

[15]  R. Stein,et al.  Determination of the frequency response of isometric soleus muscle in the cat using random nerve stimulation , 1973, The Journal of physiology.

[16]  D. Elmqvist,et al.  A quantitative study of end‐plate potentials in isolated human muscle. , 1965, The Journal of physiology.

[17]  D. Graupe,et al.  Patient controlled electrical stimulation via EMG signature discrimination for providing certain paraplegics with primitive walking functions. , 1983, Journal of biomedical engineering.

[18]  C. D. De Luca,et al.  Control scheme governing concurrently active human motor units during voluntary contractions , 1982, The Journal of physiology.

[19]  M Y WOO,et al.  ASYNCHRONOUS FIRING AND BLOCK OF PERIPHERAL NERVE CONDUCTION BY 20 KC ALTERNATING CURRENT. , 1964, Bulletin of the Los Angeles Neurological Society.

[20]  R. Nathan The development of a computerized upper limb electrical stimulation system. , 1984, Orthopedics.

[21]  E Eldred,et al.  Control of muscle contractile force through indirect high-frequency stimulation. , 1983, American journal of physical medicine.

[22]  Moshe Solomonow,et al.  External Control of the Neuromuscular System , 1984, IEEE Transactions on Biomedical Engineering.

[23]  R B Stein,et al.  The orderly recruitment of human motor units during voluntary isometric contractions , 1973, The Journal of physiology.

[24]  Lawrence Stark,et al.  Neurological Control Systems: Studies in Bioengineering , 1995 .

[25]  N. Gros,et al.  Multichannel electrical stimulation of gait in motor disabled patients. , 1984, Orthopedics.

[26]  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.

[27]  J. A. TANNER,et al.  Reversible Blocking of Nerve Conduction by Alternating-Current Excitation , 1962, Nature.

[28]  M Solomonow,et al.  EMG-force model of the elbows antagonistic muscle pair. The effect of joint position, gravity and recruitment. , 1986, American journal of physical medicine.

[29]  R. Johansson,et al.  Contractile speed and EMG changes during fatigue of sustained maximal voluntary contractions. , 1983, Journal of neurophysiology.

[30]  B. Bigland-ritchie EMG and fatigue of human voluntary and stimulated contractions. , 2008, Ciba Foundation symposium.

[31]  E. Henneman,et al.  Orderly Recruitment of Muscle Action Potentials: Motor Unit Threshold and EMG Amplitude , 1968 .

[32]  R. D'ambrosia,et al.  The Myoelectric Signal of Electrically Stimulated Muscle During Recruitment: An Inherent Feedback Pareter for a Closed-Loop Control Scheme , 1986, IEEE Transactions on Biomedical Engineering.