The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Cited by
A new strategy for multifunction myoelectric control
Hudgins, B., Parker, P., & Scott, R. N. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.204774 · Cited by 2,149
Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Miller, G. A., Ritter, W., Ruchkin, D. S., Rugg, M. D., et al. (2000) · Psychophysiology · doi:10.1111/1469-8986.3720127 · Cited by 2,157
Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time
Kutas, M., McCarthy, G., & Donchin, E. (1977) · Science · doi:10.1126/science.887923 · Cited by 1,714
Event-Related Brain Potentials in Man
(1978) · Elsevier eBooks · doi:10.1016/b978-0-12-155150-6.x5001-9 · Cited by 954
Rugg, M. D., & Coles, M. G. H. (1996) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198524168.001.0001 · Cited by 448
Schizophrenia: The broken P300 and beyond
Ford, J. M. (1999) · Psychophysiology · doi:10.1111/1469-8986.3660667 · Cited by 437
Clinical application of the P3 component of event-related potentials. I. Normal aging
Pfefferbaum, A., Ford, J. M., Wenegrat, B. G., Roth, W. T., & Kopell, B. S. (1984) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(84)90026-1 · Cited by 434
Single-trial event-related potentials with wavelet denoising
Quiroga, R. Q., & Garcia, H. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00365-6 · Cited by 384
Nociceptive Laser-Evoked Brain Potentials Do Not Reflect Nociceptive-Specific Neural Activity
Mouraux, A., & Iannetti, G. D. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91181.2008 · Cited by 373
Young Psychophysiologist Award Address, 1980: P300 Latency: A New Metric of Information Processing
Duncan‐Johnson, C. C. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03020.x · Cited by 371
The Stroop Effect: Brain Potentials Localize the Source of Interference
Duncan-Johnson, C. C., & Kopell, B. S. (1981) · Science · doi:10.1126/science.7302571 · Cited by 332
Cortical origins of response time variability during rapid discrimination of visual objects
Gerson, A. D., Parra, L. C., & Sajda, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.026 · Cited by 103
ZEEF, E. J., SONKE, C. J., KOK, A., BUITEN, M. M., & KENEMANS, J. L. (1996) · Psychophysiology · doi:10.1111/j.1469-8986.1996.tb02432.x · Cited by 84
Laminar dynamics of high amplitude beta bursts in human motor cortex
Bonaiuto, J. J., Little, S., Neymotin, S. A., Jones, S. R., Barnes, G. R., & Bestmann, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118479 · Cited by 76
CHUNG, G., TUCKER, D. M., WEST, P., POTTS, G. F., LIOTTI, M., LUU, P., & HARTRY, A. L. (1996) · Psychophysiology · doi:10.1111/j.1469-8986.1996.tb00419.x · Cited by 61
Coakley, K. J., & Hale, P. (2001) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/19.903892 · Cited by 52
A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals
Zia, J., Kimball, J., Hersek, S., Shandhi, M. M. H., Semiz, B., & Inan, O. T. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2931348 · Cited by 48
“A standard method of generating templates is “Woody’s algorithm” [19], which builds on simple ensemble averaging by iteratively aligning and averaging signals in a set S = {s1 , s2 , .”
MethodEvent-related potential variability as a measure of information storage in infant development
Thomas, D. G., Whitaker, E., Crow, C. D., Little, V., Love, L., Lykins, M. S., & Letterman, M. (1997) · Developmental Neuropsychology · doi:10.1080/87565649709540678 · Cited by 24
Metadata
- Authors
- Woody, C. D.
- Venue
- Medical & Biological Engineering
- Published
- 1967-11
- Volume
- 5
- Issue
- 6
- Pages
- 539-554
- ISSN
- 0140-0118 (ISSN-L)
- 0025-696X
- 1741-0444
- OpenAlex
- W2067932878
- Cited by
- 612
- References
- 1
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
