scispace - formally typeset
S

Stephen M Lawrence

Researcher at University of Utah

Publications -  7
Citations -  660

Stephen M Lawrence is an academic researcher from University of Utah. The author has contributed to research in topics: Ultimate tensile strength & Motor control. The author has an hindex of 6, co-authored 7 publications receiving 637 citations.

Papers
More filters
Journal ArticleDOI

Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs.

TL;DR: In this paper, the extent to which activity on chronically severed motor nerve fibers could be controlled by human amputees and whether distally referred tactile and proprioceptive sensations could be induced by stimulation of sensory axons in the nerve stumps was examined.
Journal ArticleDOI

Acute peripheral nerve recording Characteristics of polymer-based longitudinal intrafascicular electrodes

TL;DR: Recordings of neural activity induced by manually elicited afferent neural activity showed that both polyLIFE versions performed comparably to PtIrLIFEs.
Journal ArticleDOI

Fabrication and characteristics of an implantable, polymer-based, intrafascicular electrode.

TL;DR: The manufacturing changes described in this study enable the construction of more mechanically robust polyLIFEs, which should provide greater success when chronically implanted in peripheral nerves.
Journal ArticleDOI

Long-term biocompatibility of implanted polymer-based intrafascicular electrodes.

TL;DR: Polymer-based longitudinal intrafascicular electrodes (polyLIFEs) were chronically implanted into the sciatic nerve of white New Zealand rabbits for a period of 6 months, with no significant effect on fiber counts, nerve-fiber diameter, or myelin thickness.
Journal ArticleDOI

Measurement of the performance of nerve cuff electrodes for recording

TL;DR: It is shown that an imperfect closure of the cuff around the nerve can easily lead to more than 50% loss of the signal amplitude and that cross-talk in dual-channel cuffs is below 1.2% indicating a very high selectivity.