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Human motion component and envelope characterization via wireless wearable sensors
BACKGROUND: The characterization of limb biomechanics has broad implications for analyzing and managing motion in aging, sports, and disease. Motion capture videography and on-body wearable sensors are powerful tools for characterizing linear and angular motions of the body, though are often cumbers...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422588/ https://www.ncbi.nlm.nih.gov/pubmed/32903362 http://dx.doi.org/10.1186/s42490-020-0038-4 |
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author | Ammann, Kaitlyn R. Ahamed, Touhid Sweedo, Alice L. Ghaffari, Roozbeh Weiner, Yonatan E. Slepian, Rebecca C. Jo, Hongki Slepian, Marvin J. |
author_facet | Ammann, Kaitlyn R. Ahamed, Touhid Sweedo, Alice L. Ghaffari, Roozbeh Weiner, Yonatan E. Slepian, Rebecca C. Jo, Hongki Slepian, Marvin J. |
author_sort | Ammann, Kaitlyn R. |
collection | PubMed |
description | BACKGROUND: The characterization of limb biomechanics has broad implications for analyzing and managing motion in aging, sports, and disease. Motion capture videography and on-body wearable sensors are powerful tools for characterizing linear and angular motions of the body, though are often cumbersome, limited in detection, and largely non-portable. Here we examine the feasibility of utilizing an advanced wearable sensor, fabricated with stretchable electronics, to characterize linear and angular movements of the human arm for clinical feedback. A wearable skin-adhesive patch with embedded accelerometer and gyroscope (BioStampRC, MC10 Inc.) was applied to the volar surface of the forearm of healthy volunteers. Arms were extended/flexed for the range of motion of three different regimes: 1) horizontal adduction/abduction 2) flexion/extension 3) vertical abduction. Data were streamed and recorded revealing the signal “pattern” of movement in three separate axes. Additional signal processing and filtering afforded the ability to visualize these motions in each plane of the body; and the 3-dimensional motion envelope of the arm. RESULTS: Each of the three motion regimes studied had a distinct pattern – with identifiable qualitative and quantitative differences. Integration of all three movement regimes allowed construction of a “motion envelope,” defining and quantifying motion (range and shape – including the outer perimeter of the extreme of motion – i.e. the envelope) of the upper extremity. The linear and rotational motion results from multiple arm motions match measurements taken with videography and benchtop goniometer. CONCLUSIONS: A conformal, stretchable electronic motion sensor effectively captures limb motion in multiple degrees of freedom, allowing generation of characteristic signatures which may be readily recorded, stored, and analyzed. Wearable conformal skin adherent sensor patchs allow on-body, mobile, personalized determination of motion and flexibility parameters. These sensors allow motion assessment while mobile, free of a fixed laboratory environment, with utility in the field, home, or hospital. These sensors and mode of analysis hold promise for providing digital “motion biomarkers” of health and disease. |
format | Online Article Text |
id | pubmed-7422588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74225882020-09-04 Human motion component and envelope characterization via wireless wearable sensors Ammann, Kaitlyn R. Ahamed, Touhid Sweedo, Alice L. Ghaffari, Roozbeh Weiner, Yonatan E. Slepian, Rebecca C. Jo, Hongki Slepian, Marvin J. BMC Biomed Eng Research Article BACKGROUND: The characterization of limb biomechanics has broad implications for analyzing and managing motion in aging, sports, and disease. Motion capture videography and on-body wearable sensors are powerful tools for characterizing linear and angular motions of the body, though are often cumbersome, limited in detection, and largely non-portable. Here we examine the feasibility of utilizing an advanced wearable sensor, fabricated with stretchable electronics, to characterize linear and angular movements of the human arm for clinical feedback. A wearable skin-adhesive patch with embedded accelerometer and gyroscope (BioStampRC, MC10 Inc.) was applied to the volar surface of the forearm of healthy volunteers. Arms were extended/flexed for the range of motion of three different regimes: 1) horizontal adduction/abduction 2) flexion/extension 3) vertical abduction. Data were streamed and recorded revealing the signal “pattern” of movement in three separate axes. Additional signal processing and filtering afforded the ability to visualize these motions in each plane of the body; and the 3-dimensional motion envelope of the arm. RESULTS: Each of the three motion regimes studied had a distinct pattern – with identifiable qualitative and quantitative differences. Integration of all three movement regimes allowed construction of a “motion envelope,” defining and quantifying motion (range and shape – including the outer perimeter of the extreme of motion – i.e. the envelope) of the upper extremity. The linear and rotational motion results from multiple arm motions match measurements taken with videography and benchtop goniometer. CONCLUSIONS: A conformal, stretchable electronic motion sensor effectively captures limb motion in multiple degrees of freedom, allowing generation of characteristic signatures which may be readily recorded, stored, and analyzed. Wearable conformal skin adherent sensor patchs allow on-body, mobile, personalized determination of motion and flexibility parameters. These sensors allow motion assessment while mobile, free of a fixed laboratory environment, with utility in the field, home, or hospital. These sensors and mode of analysis hold promise for providing digital “motion biomarkers” of health and disease. BioMed Central 2020-02-27 /pmc/articles/PMC7422588/ /pubmed/32903362 http://dx.doi.org/10.1186/s42490-020-0038-4 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ammann, Kaitlyn R. Ahamed, Touhid Sweedo, Alice L. Ghaffari, Roozbeh Weiner, Yonatan E. Slepian, Rebecca C. Jo, Hongki Slepian, Marvin J. Human motion component and envelope characterization via wireless wearable sensors |
title | Human motion component and envelope characterization via wireless wearable sensors |
title_full | Human motion component and envelope characterization via wireless wearable sensors |
title_fullStr | Human motion component and envelope characterization via wireless wearable sensors |
title_full_unstemmed | Human motion component and envelope characterization via wireless wearable sensors |
title_short | Human motion component and envelope characterization via wireless wearable sensors |
title_sort | human motion component and envelope characterization via wireless wearable sensors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422588/ https://www.ncbi.nlm.nih.gov/pubmed/32903362 http://dx.doi.org/10.1186/s42490-020-0038-4 |
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