The University of Chicago Header Logo

Connection

Zachary Wright to Electromyography

This is a "connection" page, showing publications Zachary Wright has written about Electromyography.
Connection Strength

0.443
  1. Post-stroke motor deficits are most evident at frequencies near 125 Hz in EMG multivariate probability distributions. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul; 2019:5229-5232.
    View in: PubMed
    Score: 0.169
  2. Degraded expression of learned feedforward control in movements released by startle. Exp Brain Res. 2015 Aug; 233(8):2291-300.
    View in: PubMed
    Score: 0.128
  3. Reducing Abnormal Muscle Coactivation After Stroke Using a Myoelectric-Computer Interface: A Pilot Study. Neurorehabil Neural Repair. 2014 Jun; 28(5):443-51.
    View in: PubMed
    Score: 0.116
  4. Extracting kinetic information from human motor cortical signals. Neuroimage. 2014 Nov 01; 101:695-703.
    View in: PubMed
    Score: 0.030
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.