Next Article in Journal
Indoor Localization within Multi-Story Buildings Using MAC and RSSI Fingerprint Vectors
Next Article in Special Issue
Evaluation of Gait Phase Detection Delay Compensation Strategies to Control a Gyroscope-Controlled Functional Electrical Stimulation System During Walking
Previous Article in Journal
Characterization of Path Loss and Large-Scale Fading for Rapid Intervention Team Communication in Underground Parking Garages
Previous Article in Special Issue
Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location
Open AccessArticle

An Investigation on the Sampling Frequency of the Upper-Limb Force Myographic Signals

Schools of Mechatronics Systems Engineering and Engineering Science, Simon Fraser University, 250-13450 102 Avenue, Surrey, BC V3T 0A3, Canada
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2432; https://doi.org/10.3390/s19112432
Received: 25 April 2019 / Revised: 22 May 2019 / Accepted: 23 May 2019 / Published: 28 May 2019
(This article belongs to the Special Issue Wearable Sensors for Gait and Motion Analysis 2018)
  |  
PDF [4249 KB, uploaded 28 May 2019]
  |  

Abstract

Force myography (FMG) is an emerging method to register muscle activity of a limb using force sensors for human–machine interface and movement monitoring applications. Despite its newly gained popularity among researchers, many of its fundamental characteristics remain to be investigated. The aim of this study is to identify the minimum sampling frequency needed for recording upper-limb FMG signals without sacrificing signal integrity. Twelve healthy volunteers participated in an experiment in which they were instructed to perform rapid hand actions with FMG signals being recorded from the wrist and the bulk region of the forearm. The FMG signals were sampled at 1 kHz with a 16-bit resolution data acquisition device. We downsampled the signals with frequencies ranging from 1 Hz to 500 Hz to examine the discrepancies between the original signals and the downsampled ones. Based on the results, we suggest that FMG signals from the forearm and wrist should be collected with minimum sampling frequencies of 54 Hz and 58 Hz for deciphering isometric actions, and 70 Hz and 84 Hz for deciphering dynamic actions. This fundamental work provides insight into minimum requirements for sampling FMG signals such that the data content of such signals is not compromised. View Full-Text
Keywords: force myography; FMG; muscle; wearable; motions; human–computer interface; signal sampling force myography; FMG; muscle; wearable; motions; human–computer interface; signal sampling
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Xiao, Z.G.; Menon, C. An Investigation on the Sampling Frequency of the Upper-Limb Force Myographic Signals. Sensors 2019, 19, 2432.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top