Search Results - "Chizeck, H.J."

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  1. 1

    Real-time gait event detection for paraplegic FES walking by Skelly, M.M., Chizeck, H.J.

    “…A real-time method for the detection of gait events that occur during the electrically stimulated locomotion of paraplegic subjects is described. It consists…”
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    Journal Article
  2. 2

    Strategies and Tactics in Multiscale Modeling of Cell-to-Organ Systems by Bassingthwaighte, J.B., Chizeck, H.J., Atlas, L.E.

    Published in Proceedings of the IEEE (01-04-2006)
    “…Modeling is essential to integrating knowledge of human physiology. Comprehensive self-consistent descriptions expressed in quantitative mathematical form…”
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    Journal Article
  3. 3

    Feedback control of coronal plane hip angle in paraplegic subjects using functional neuromuscular stimulation by Abbas, J.J., Chizeck, H.J.

    “…An investigation of feedback control of coronal plane posture in paraplegic subjects who stand using functional neuromuscular stimulation (FNS) is described. A…”
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    Journal Article
  4. 4

    Using evoked EMG as a synthetic force sensor of isometric electrically stimulated muscle by Erfanian, A., Chizeck, H.J., Hashemi, R.M.

    “…A method for the estimation of the force generated by electrically stimulated muscle during isometric contraction is developed here. It is based upon…”
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    Journal Article
  5. 5

    Nonlinear joint angle control for artificially stimulated muscle by Veltink, P.H., Chizeck, H.J., Crago, P.E., El-Bialy, A.

    “…Designs of both open- and closed-loop controllers of electrically stimulated muscle that explicitly depend on a nonlinear mathematical model of muscle…”
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    Journal Article
  6. 6

    Some Properties of an Empirical Mode Type Signal Decomposition Algorithm by Hawley, S.D., Atlas, L.E., Chizeck, H.J.

    Published in IEEE signal processing letters (01-01-2010)
    “…The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it…”
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    Journal Article
  7. 7

    Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation by Chizeck, H.J., Lan, N., Palmieri, L.S., Crago, P.E.

    “…The closed-loop control of electrically stimulated muscle using simultaneous pulse width and frequency modulation is considered. It is shown how the addition…”
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    Journal Article
  8. 8

    Robust closed-loop control of isometric muscle force using pulsewidth modulation by Chizeck, H.J., Crago, P.E., Kofman, L.S.

    “…The design of feedback controllers to accurately and robustly regulate the properties of electrically stimulated muscle is considered. Reliable, precise…”
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    Journal Article
  9. 9

    Error detection and unit conversion by Chizeck, H.J., Butterworth, E., Bassingthwaighte, J.B.

    “…The article discusses the accuracy mathematical modeling languages (MML) for biomedicine, for example in cardiac electrophysiology. Unit balance checking is…”
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    Journal Article
  10. 10

    Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control by Ji, Y., Chizeck, H.J.

    Published in IEEE transactions on automatic control (01-07-1990)
    “…Consideration is given to the control of continuous-time linear systems that possess randomly jumping parameters which can be described by finite-state Markov…”
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    Journal Article
  11. 11

    Stochastic stability properties of jump linear systems by Feng, X., Loparo, K.A., Ji, Y., Chizeck, H.J.

    Published in IEEE transactions on automatic control (01-01-1992)
    “…Jump linear systems are defined as a family of linear systems with randomly jumping parameters (usually governed by a Markov jump process) and are used to…”
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    Journal Article
  12. 12

    Fuzzy model identification for classification of gait events in paraplegics by San Kuen Ng, Chizeck, H.J.

    Published in IEEE transactions on fuzzy systems (01-11-1997)
    “…Fuzzy system identification was applied to a biomedical system for classification purposes. Gait achieved through functional electrical stimulation (FES) of…”
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    Journal Article
  13. 13
  14. 14

    Etiology of ventriculomegaly in choroid plexus papilloma by Rekate, H L, Erwood, S, Brodkey, J A, Chizeck, H J, Spear, T, Ko, W, Montague, F

    Published in Pediatric neuroscience (1985)
    “…In order to test the hypothesis that overproduction of cerebrospinal fluid can cause the hydrocephalus seen in choroid plexus papillomas, adult mongrel dogs…”
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    Journal Article
  15. 15

    Comparison of transient performance in the control of soft tissue grasping by Xiaolong Yu, Chizeck, H.J., Hannaford, B.

    “…In robot-assisted surgery, surgical tools interact with tissues that have nonlinear mechanical properties. For situations where a pre-specified trajectory of…”
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    Conference Proceeding
  16. 16

    Some properties of an empirical mode type signal decomposition algorithm by Hawley, S.D., Atlas, L.E., Chizeck, H.J.

    “…The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it…”
    Get full text
    Conference Proceeding
  17. 17

    Neural network control of functional neuromuscular stimulation systems: computer simulation studies by Abbas, J.J., Chizeck, H.J.

    “…A neural network control system has been designed for the control of cyclic movements in functional neuromuscular stimulation (FNS) systems. The design…”
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    Journal Article
  18. 18

    Jump linear quadratic Gaussian control in continuous time by Ji, Y., Chizeck, H.J.

    Published in IEEE transactions on automatic control (01-12-1992)
    “…The optimal quadratic control of continuous-time linear systems that possess randomly jumping parameters which can be described by finite-state Markov…”
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    Journal Article
  19. 19

    Identification of electrically stimulated quadriceps muscles in paraplegic subjects by Chizeck, H.J., Seokjoo Chang, Stein, R.B., Scheiner, A., Ferencz, D.C.

    “…This work establishes a method for the noninvasive in vivo identification of parametric models of electrically stimulated muscle in paralyzed individuals, when…”
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    Journal Article
  20. 20

    Muscle-joint models incorporating activation dynamics, moment-angle, and moment-velocity properties by Shue, G., Crago, P.E., Chizeck, H.J.

    “…Muscle input/output models incorporating activation dynamics, moment-angle, and moment-velocity factors are commonly used to predict the moment produced by…”
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    Journal Article