Connection

Jonathan Halford to Signal Processing, Computer-Assisted

This is a "connection" page, showing publications Jonathan Halford has written about Signal Processing, Computer-Assisted.
  1. Standardization of neurophysiology signal data into the DICOM? standard. Clin Neurophysiol. 2021 04; 132(4):993-997.
    View in: PubMed
    Score: 0.686
  2. Aliasing of 60-Hz Artifact as a Result of Compressed Time Base. J Clin Neurophysiol. 2017 Sep; 34(5):e19-e22.
    View in: PubMed
    Score: 0.539
  3. Characteristics of EEG Interpreters Associated With Higher Interrater Agreement. J Clin Neurophysiol. 2017 Mar; 34(2):168-173.
    View in: PubMed
    Score: 0.521
  4. A study of morphology-based wavelet features and multiple-wavelet strategy for EEG signal classification: results and selected statistical analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:5998-6002.
    View in: PubMed
    Score: 0.390
  5. Standardized database development for EEG epileptiform transient detection: EEGnet scoring system and machine learning analysis. J Neurosci Methods. 2013 Jan 30; 212(2):308-16.
    View in: PubMed
    Score: 0.387
  6. Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:3959-62.
    View in: PubMed
    Score: 0.364
  7. Web-based collection of expert opinion on routine scalp EEG: software development and interrater reliability. J Clin Neurophysiol. 2011 Apr; 28(2):178-84.
    View in: PubMed
    Score: 0.346
  8. Minimum Technical Requirements for Performing Ambulatory EEG. J Clin Neurophysiol. 2022 09 01; 39(6):435-440.
    View in: PubMed
    Score: 0.188
  9. Automated Processing of Single-Channel Surface Electromyography From Generalized Tonic-Clonic Seizures to Inform Semiology. J Clin Neurophysiol. 2020 Jan; 37(1):56-61.
    View in: PubMed
    Score: 0.159
  10. Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation. JAMA Neurol. 2020 01 01; 77(1):103-108.
    View in: PubMed
    Score: 0.159
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.