Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking
This paper describes a method for the estimation of the 3D ground reaction force (GRF) during human walking using novel nanocomposite piezo-responsive foam (NCPF) sensors. Nine subjects (5 male, 4 female) walked on a force-instrumented treadmill at 1.34 m/s for 120 s each while wearing a shoe that w...
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Veröffentlicht in: | Annals of biomedical engineering 2017-09, Vol.45 (9), p.2122-2134 |
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description | This paper describes a method for the estimation of the 3D ground reaction force (GRF) during human walking using novel nanocomposite piezo-responsive foam (NCPF) sensors. Nine subjects (5 male, 4 female) walked on a force-instrumented treadmill at 1.34 m/s for 120 s each while wearing a shoe that was instrumented with four NCPF sensors. GRF data, measured
via
the treadmill, and sensor data, measured
via
the NCPF inserts, were used in a tenfold cross validation process to calibrate a separate model for each individual. The calibration model estimated average anterior–posterior, mediolateral and vertical GRF with mean average errors (MAE) of 6.52 N (2.14%), 4.79 N (6.34%), and 15.4 N (2.15%), respectively. Two additional models were created using the sensor data from all subjects and subject demographics. A tenfold cross validation process for this combined data set resulted in models that estimated average anterior–posterior, mediolateral and vertical GRF with less than 8.16 N (2.41%), 6.63 N (7.37%), and 19.4 N (2.31%) errors, respectively. Intra-subject estimates based on the model had a higher accuracy than inter-subject estimates, likely due to the relatively small subject cohort used in creating the model. The novel NCPF sensors demonstrate the ability to accurately estimate 3D GRF during human movement outside of the traditional biomechanics laboratory setting. |
doi_str_mv | 10.1007/s10439-017-1852-2 |
format | Article |
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via
the treadmill, and sensor data, measured
via
the NCPF inserts, were used in a tenfold cross validation process to calibrate a separate model for each individual. The calibration model estimated average anterior–posterior, mediolateral and vertical GRF with mean average errors (MAE) of 6.52 N (2.14%), 4.79 N (6.34%), and 15.4 N (2.15%), respectively. Two additional models were created using the sensor data from all subjects and subject demographics. A tenfold cross validation process for this combined data set resulted in models that estimated average anterior–posterior, mediolateral and vertical GRF with less than 8.16 N (2.41%), 6.63 N (7.37%), and 19.4 N (2.31%) errors, respectively. Intra-subject estimates based on the model had a higher accuracy than inter-subject estimates, likely due to the relatively small subject cohort used in creating the model. The novel NCPF sensors demonstrate the ability to accurately estimate 3D GRF during human movement outside of the traditional biomechanics laboratory setting.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-017-1852-2</identifier><identifier>PMID: 28512701</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Biochemistry ; Biological and Medical Physics ; Biomechanics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Classical Mechanics ; Demographics ; Demography ; Female ; Fitness equipment ; Gait - physiology ; Human motion ; Humans ; Inserts ; Male ; Models, Biological ; Nanocomposites ; Sensors ; Three dimensional motion ; Walking ; Walking - physiology</subject><ispartof>Annals of biomedical engineering, 2017-09, Vol.45 (9), p.2122-2134</ispartof><rights>Biomedical Engineering Society 2017</rights><rights>Annals of Biomedical Engineering is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c486t-fb21ea8c612c8ede40b105bb79f3ad867face425bf810ecd2a92ca25eb4e2a0d3</citedby><cites>FETCH-LOGICAL-c486t-fb21ea8c612c8ede40b105bb79f3ad867face425bf810ecd2a92ca25eb4e2a0d3</cites><orcidid>0000-0003-3124-7551</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-017-1852-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-017-1852-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28512701$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rosquist, Parker G.</creatorcontrib><creatorcontrib>Collins, Gavin</creatorcontrib><creatorcontrib>Merrell, A. Jake</creatorcontrib><creatorcontrib>Tuttle, Noelle J.</creatorcontrib><creatorcontrib>Tracy, James B.</creatorcontrib><creatorcontrib>Bird, Evan T.</creatorcontrib><creatorcontrib>Seeley, Matthew K.</creatorcontrib><creatorcontrib>Fullwood, David T.</creatorcontrib><creatorcontrib>Christensen, William F.</creatorcontrib><creatorcontrib>Bowden, Anton E.</creatorcontrib><title>Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>This paper describes a method for the estimation of the 3D ground reaction force (GRF) during human walking using novel nanocomposite piezo-responsive foam (NCPF) sensors. Nine subjects (5 male, 4 female) walked on a force-instrumented treadmill at 1.34 m/s for 120 s each while wearing a shoe that was instrumented with four NCPF sensors. GRF data, measured
via
the treadmill, and sensor data, measured
via
the NCPF inserts, were used in a tenfold cross validation process to calibrate a separate model for each individual. The calibration model estimated average anterior–posterior, mediolateral and vertical GRF with mean average errors (MAE) of 6.52 N (2.14%), 4.79 N (6.34%), and 15.4 N (2.15%), respectively. Two additional models were created using the sensor data from all subjects and subject demographics. A tenfold cross validation process for this combined data set resulted in models that estimated average anterior–posterior, mediolateral and vertical GRF with less than 8.16 N (2.41%), 6.63 N (7.37%), and 19.4 N (2.31%) errors, respectively. Intra-subject estimates based on the model had a higher accuracy than inter-subject estimates, likely due to the relatively small subject cohort used in creating the model. The novel NCPF sensors demonstrate the ability to accurately estimate 3D GRF during human movement outside of the traditional biomechanics laboratory setting.</description><subject>Adult</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomechanics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Classical Mechanics</subject><subject>Demographics</subject><subject>Demography</subject><subject>Female</subject><subject>Fitness equipment</subject><subject>Gait - physiology</subject><subject>Human motion</subject><subject>Humans</subject><subject>Inserts</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Nanocomposites</subject><subject>Sensors</subject><subject>Three dimensional motion</subject><subject>Walking</subject><subject>Walking - physiology</subject><issn>0090-6964</issn><issn>1573-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kV9LHTEQxUNR6q31A_SlBHzxJZpJ9k_yWLxqC9IWW_ExZLOzsvbuZpvZLeind7dXSxF8Ghh-58xwDmMfQB6DlOUJgcy0FRJKASZXQr1hK8hLLWxhih22ktJKUdgi22PviO6kBDA6f8v2lMlBlRJW7PaMxrbzYxt7Hhuu1_wixamv-RX68Hd7HlNAfk1tf8u_-j6G2A2R2hH59xYforhCGmJP7R-cUd_xH9hTTMTXU1okN37za57v2W7jN4QHT3OfXZ-f_Tz9LC6_XXw5_XQpQmaKUTSVAvQmFKCCwRozWYHMq6q0jfa1KcrGB8xUXjUGJIZaeauCVzlWGSova73Pjra-Q4q_J6TRdS0F3Gx8j3EiB8ba0oJWakYPX6B3cUr9_J0DqwG0LfOFgi0VUiRK2LghzYGlewfSLS24bQtubsEtLbhF8_HJeao6rP8pnmOfAbUFaFhCwvTf6VddHwFM9pMG</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Rosquist, Parker G.</creator><creator>Collins, Gavin</creator><creator>Merrell, A. Jake</creator><creator>Tuttle, Noelle J.</creator><creator>Tracy, James B.</creator><creator>Bird, Evan T.</creator><creator>Seeley, Matthew K.</creator><creator>Fullwood, David T.</creator><creator>Christensen, William F.</creator><creator>Bowden, Anton E.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3124-7551</orcidid></search><sort><creationdate>20170901</creationdate><title>Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking</title><author>Rosquist, Parker G. ; Collins, Gavin ; Merrell, A. 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Jake</au><au>Tuttle, Noelle J.</au><au>Tracy, James B.</au><au>Bird, Evan T.</au><au>Seeley, Matthew K.</au><au>Fullwood, David T.</au><au>Christensen, William F.</au><au>Bowden, Anton E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>45</volume><issue>9</issue><spage>2122</spage><epage>2134</epage><pages>2122-2134</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><abstract>This paper describes a method for the estimation of the 3D ground reaction force (GRF) during human walking using novel nanocomposite piezo-responsive foam (NCPF) sensors. Nine subjects (5 male, 4 female) walked on a force-instrumented treadmill at 1.34 m/s for 120 s each while wearing a shoe that was instrumented with four NCPF sensors. GRF data, measured
via
the treadmill, and sensor data, measured
via
the NCPF inserts, were used in a tenfold cross validation process to calibrate a separate model for each individual. The calibration model estimated average anterior–posterior, mediolateral and vertical GRF with mean average errors (MAE) of 6.52 N (2.14%), 4.79 N (6.34%), and 15.4 N (2.15%), respectively. Two additional models were created using the sensor data from all subjects and subject demographics. A tenfold cross validation process for this combined data set resulted in models that estimated average anterior–posterior, mediolateral and vertical GRF with less than 8.16 N (2.41%), 6.63 N (7.37%), and 19.4 N (2.31%) errors, respectively. Intra-subject estimates based on the model had a higher accuracy than inter-subject estimates, likely due to the relatively small subject cohort used in creating the model. The novel NCPF sensors demonstrate the ability to accurately estimate 3D GRF during human movement outside of the traditional biomechanics laboratory setting.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>28512701</pmid><doi>10.1007/s10439-017-1852-2</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-3124-7551</orcidid></addata></record> |
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subjects | Adult Biochemistry Biological and Medical Physics Biomechanics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Classical Mechanics Demographics Demography Female Fitness equipment Gait - physiology Human motion Humans Inserts Male Models, Biological Nanocomposites Sensors Three dimensional motion Walking Walking - physiology |
title | Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking |
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