The surface potential quantification engine integrates active voluntary identification to enhance fasciculation analysis in amyotrophic lateral sclerosis.

James Bashford; Aidan Wickham; Raquel Iniesta; Emmanuelle Drakakis; Martyn Boutelle; Kerry Mills; Christopher Shaw

The surface potential quantification engine integrates active voluntary identification to enhance fasciculation analysis in amyotrophic lateral sclerosis.

James Bashford, Aidan Wickham, Raquel Iniesta, Emmanuelle Drakakis, Martyn Boutelle, Kerry Mills, Christopher Shaw

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	S3-S3
Journal	Muscle and Nerve
Volume	60
Publication status	Published - Sept 2019

Cite this

@article{b2b0662cdbd0420abf77e85b9a7fcb19,

title = "The surface potential quantification engine integrates active voluntary identification to enhance fasciculation analysis in amyotrophic lateral sclerosis.",

author = "James Bashford and Aidan Wickham and Raquel Iniesta and Emmanuelle Drakakis and Martyn Boutelle and Kerry Mills and Christopher Shaw",

year = "2019",

month = sep,

language = "English",

volume = "60",

pages = "S3--S3",

journal = "Muscle and Nerve",

issn = "0148-639X",

publisher = "Wiley",

}

TY - JOUR

T1 - The surface potential quantification engine integrates active voluntary identification to enhance fasciculation analysis in amyotrophic lateral sclerosis.

AU - Bashford, James

AU - Wickham, Aidan

AU - Iniesta, Raquel

AU - Drakakis, Emmanuelle

AU - Boutelle, Martyn

AU - Mills, Kerry

AU - Shaw, Christopher

PY - 2019/9

Y1 - 2019/9

M3 - Meeting Abstract

SN - 0148-639X

VL - 60

SP - S3-S3

JO - Muscle and Nerve

JF - Muscle and Nerve

ER -