Characterizing Neurotransmitter Receptor Activation with a
                                Perturbation Based Decomposition Method

Jue, Stephen Gregory

doi:10.15368/theses.2016.98

Cited by 1 publication

(1 citation statement)

References 26 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The perturbative approximate series expansion, also termed perturbation based decomposition, was developed by Szlavik as a technique to estimate the distribution of nerve fiber diameter sizes contributing to a compound-evoked potential [23]. The technique has since been applied to the characterization of neurotransmitter receptor activation [24]. Additional inverse problems in electrophysiology are currently being pursued, including the topic of this paper [25].…”

Section: General Perturbative Approximate Series Expansionmentioning

confidence: 99%

Perturbation Based Decomposition of sEMG Signals

Huettinger

View full text Add to dashboard Cite

Perturbation Based Decomposition of sEMG Signals Rachel Huettinger Surface electromyography records the motor unit action potential signals in the vicinity of the electrode to reveal information on muscle activation. Decomposition of sEMG signals for characterization of constituent motor unit action potentials in terms of amplitude and firing times is useful for clinical research as well as diagnosis of neurological disorders. Successful decomposition of sEMG signals would allow forpertinent motor unit action potential information to be acquired without discomfort to the subject or the need for a well-trained operator (compared with intramuscular EMG). To determine amplitudes and firing times for motor unit action potentials in an sEMG recording, Szlavik's perturbation based decomposition may be applied.The decomposition was initially applied to synthetic sEMG signals and then to experimental data collected from the biceps brachii. Szlavik's decomposition estimator yields satisfactory results for synthetic and experimental sEMG signals with reasonable complexity.

show abstract

Section: General Perturbative Approximate Series Expansionmentioning

confidence: 99%

Perturbation Based Decomposition of sEMG Signals

Huettinger

View full text Add to dashboard Cite

show abstract

Characterizing Neurotransmitter Receptor Activation with a Perturbation Based Decomposition Method

Cited by 1 publication

References 26 publications

Perturbation Based Decomposition of sEMG Signals

Perturbation Based Decomposition of sEMG Signals

Contact Info

Product

Resources

About