Preliminary validation study of novel fabric EMG device in non-affected adults - can it compare to the industry gold-standard, Vicon?

R. Campbell; K. Andrew; C. L'Ange; J. Concannon

doi:10.1016/j.gaitpost.2022.07.229

Preliminary validation study of novel fabric EMG device in non-affected adults - can it compare to the industry gold-standard, Vicon?

R. Campbell^*, K. Andrew, C. L'Ange, J. Concannon

^*Corresponding author for this work

Biomedical Engineering

Research output: Contribution to journal › Conference abstract › peer-review

Abstract

Historically, AFOs have limited EMG data collection due to placement issues for the electrodes. A novel fabric EMG sensor has been developed by Footfalls & Heartbeats for the University of Strathclyde which is wearable underneath Orthotic devices. This novel device will allow for uninhibited data collection to gain further insight into the functionality of orthotic devices.

Original language	English
Pages (from-to)	S382-S383
Number of pages	2
Journal	Gait and Posture
Volume	97
Early online date	17 Sept 2022
DOIs	https://doi.org/10.1016/j.gaitpost.2022.07.229
Publication status	Published - 17 Sept 2022
Event	European Society for Movement Analysis in Adults and Children Annual Meeting 2022 - Dublin, Ireland Duration: 19 Sept 2022 → 21 Sept 2022 https://esmac.org/event-calendar/future-esmac-annual-meetings/

Keywords

EMG sensor
data collection
orthotic devices

Access to Document

10.1016/j.gaitpost.2022.07.229

Cite this

@article{086899400b8f42328f8161643b26f55a,

title = "Preliminary validation study of novel fabric EMG device in non-affected adults - can it compare to the industry gold-standard, Vicon?",

abstract = "Historically, AFOs have limited EMG data collection due to placement issues for the electrodes. A novel fabric EMG sensor has been developed by Footfalls & Heartbeats for the University of Strathclyde which is wearable underneath Orthotic devices. This novel device will allow for uninhibited data collection to gain further insight into the functionality of orthotic devices.",

keywords = "EMG sensor, data collection, orthotic devices",

author = "R. Campbell and K. Andrew and C. L'Ange and J. Concannon",

year = "2022",

month = sep,

day = "17",

doi = "10.1016/j.gaitpost.2022.07.229",

language = "English",

volume = "97",

pages = "S382--S383",

journal = "Gait and Posture",

issn = "0966-6362",

publisher = "Elsevier B.V.",

note = "European Society for Movement Analysis in Adults and Children Annual Meeting 2022, ESMAC 2022 ; Conference date: 19-09-2022 Through 21-09-2022",