Evaluating 3D printed sEMG electrodes with silver ink traces using in-situ impedance measurements

Martijn Schouten; Philip  van de Maat; Kostas Nizamis; Gijs Krijnen

doi:10.1109/SENSORS52175.2022.9967266

Evaluating 3D printed sEMG electrodes with silver ink traces using in-situ impedance measurements

Martijn Schouten^*, Philip van de Maat, Kostas Nizamis, Gijs Krijnen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Surface electromyography (sEMG) is used to determine muscle activity by picking up the associated bio-potentials using skin-mounted electrodes. In this paper, we study how the electrode and skin impedance of 3D printed sEMG electrodes can be improved by comparing traces made of either silver ink or carbon black loaded thermoplastic polyurethane (TPU). To this end we developed a method, using the AC-lead off of the Texas Instruments ADS1298 analog front-end, to continuously determine the complex impedance during sEMG measurements. We observe that the application of silver-ink reduces both the electrode impedance and its variation during isometric contractions.

Original language	English
Title of host publication	2022 IEEE Sensors
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-6654-8464-0
ISBN (Print)	978-1-6654-8465-7
DOIs	https://doi.org/10.1109/SENSORS52175.2022.9967266
Publication status	Published - 8 Dec 2022
Event	IEEE SENSORS 2022 - US, Dalas, United States Duration: 30 Oct 2022 → 2 Nov 2022 https://2022.ieee-sensorsconference.org/

Publication series

Name	IEEE Sensors
Publisher	IEEE
Volume	2022
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	IEEE SENSORS 2022
Country/Territory	United States
City	Dalas
Period	30/10/22 → 2/11/22
Internet address	https://2022.ieee-sensorsconference.org/

Keywords

22/4 OA procedure

Access to Document

10.1109/SENSORS52175.2022.9967266

Embargoed Document

Article
Final published version, 1.59 MB
Licence: Taverne
Embargo ends: 8/06/23

Design and Characterization of an sEMG Band for Duchenne Patients
Tom Vaneker (Examiner), G. Krijnen (Examiner), Konstantinos Nizamis (Examiner) & Martijn Schouten (Examiner)
14 Dec 2022
Activity: Examination

Cite this

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title = "Evaluating 3D printed sEMG electrodes with silver ink traces using in-situ impedance measurements",

abstract = "Surface electromyography (sEMG) is used to determine muscle activity by picking up the associated bio-potentials using skin-mounted electrodes. In this paper, we study how the electrode and skin impedance of 3D printed sEMG electrodes can be improved by comparing traces made of either silver ink or carbon black loaded thermoplastic polyurethane (TPU). To this end we developed a method, using the AC-lead off of the Texas Instruments ADS1298 analog front-end, to continuously determine the complex impedance during sEMG measurements. We observe that the application of silver-ink reduces both the electrode impedance and its variation during isometric contractions.",

keywords = "22/4 OA procedure",

author = "Martijn Schouten and {van de Maat}, Philip and Kostas Nizamis and Gijs Krijnen",

note = "Funding Information: This work was developed within the Wearable Robotics program, funded by the Dutch Research Council (NWO) and co-funded by TMSi. The authors thank all TMSi employees for their help in the development of the Octopus, as well as Jurgen Bril and Yiming Chen for their contribution to the code. Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE SENSORS 2022 ; Conference date: 30-10-2022 Through 02-11-2022",

year = "2022",

month = dec,

day = "8",

doi = "10.1109/SENSORS52175.2022.9967266",

language = "English",

isbn = "978-1-6654-8465-7",

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AU - Schouten, Martijn

AU - van de Maat, Philip

AU - Nizamis, Kostas

AU - Krijnen, Gijs

N1 - Funding Information: This work was developed within the Wearable Robotics program, funded by the Dutch Research Council (NWO) and co-funded by TMSi. The authors thank all TMSi employees for their help in the development of the Octopus, as well as Jurgen Bril and Yiming Chen for their contribution to the code. Publisher Copyright: © 2022 IEEE.

PY - 2022/12/8

Y1 - 2022/12/8

N2 - Surface electromyography (sEMG) is used to determine muscle activity by picking up the associated bio-potentials using skin-mounted electrodes. In this paper, we study how the electrode and skin impedance of 3D printed sEMG electrodes can be improved by comparing traces made of either silver ink or carbon black loaded thermoplastic polyurethane (TPU). To this end we developed a method, using the AC-lead off of the Texas Instruments ADS1298 analog front-end, to continuously determine the complex impedance during sEMG measurements. We observe that the application of silver-ink reduces both the electrode impedance and its variation during isometric contractions.

AB - Surface electromyography (sEMG) is used to determine muscle activity by picking up the associated bio-potentials using skin-mounted electrodes. In this paper, we study how the electrode and skin impedance of 3D printed sEMG electrodes can be improved by comparing traces made of either silver ink or carbon black loaded thermoplastic polyurethane (TPU). To this end we developed a method, using the AC-lead off of the Texas Instruments ADS1298 analog front-end, to continuously determine the complex impedance during sEMG measurements. We observe that the application of silver-ink reduces both the electrode impedance and its variation during isometric contractions.

KW - 22/4 OA procedure

U2 - 10.1109/SENSORS52175.2022.9967266

DO - 10.1109/SENSORS52175.2022.9967266

M3 - Conference contribution

SN - 978-1-6654-8465-7

T3 - IEEE Sensors

BT - 2022 IEEE Sensors

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE SENSORS 2022

Y2 - 30 October 2022 through 2 November 2022

ER -

Evaluating 3D printed sEMG electrodes with silver ink traces using in-situ impedance measurements

Abstract

Publication series

Conference

Keywords

Access to Document

Embargoed Document

Fingerprint

Activities

Design and Characterization of an sEMG Band for Duchenne Patients

Cite this