ArticleMedical & biological engineering & computing1997
Identification of physiological systems: a robust method for non-parametric impulse response estimation.
Article in Medical & biological engineering & computing, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 33 citations in OpenAlex.
- Estimation of impulse response between electromyogram signals for use in conduction delay distribution estimation.Medical & biological engineering & computing · 2013Trial
- Long term, stable brain machine interface performance using local field potentials and multiunit spikes.Journal of neural engineering · 2013Article
- Estimates of acausal joint impedance models.IEEE transactions on bio-medical engineering · 2012Article
- Identification of feedback loops embedded in cellular circuits by investigating non-causal impulse response components.Journal of mathematical biology · 2010Article
- Prediction of upper limb muscle activity from motor cortical discharge during reaching.Journal of neural engineering · 2007Article
- Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodes.Neural computation · 2006Article
- Identification of physiological systems: estimation of linear time-varying dynamics with non-white inputs and noisy outputs.Medical & biological engineering & computing · 2001Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of non-parametric impulse response functions (IRFs) from noisy finite-length data records is analysed using the techniques of matrix perturbation theory. Based on these findings, a method for IRF estimation is developed that is more robust than existing techniques, particularly when the input is non-white. Furthermore, methods are developed for computing confidence bounds on the resulting IRF estimates. Monte Carlo simulations are used to assess the capabilities of this new method and to demonstrate its superiority over classical techniques. An application to the identification of dynamic ankle stiffness in humans is presented.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.