Quasi real-time gait event detection using shank-attached gyroscopes
This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [ 2 ] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We pro...
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| Veröffentlicht in: | Medical & biological engineering & computing 2011-06, Vol.49 (6), p.707-712 |
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| creator | Lee, Jung Keun Park, Edward J. |
| description | This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [
2
] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [
2
], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (−8 ms) and the initial contacts later (19 ms) than the footswitch-based method. |
| doi_str_mv | 10.1007/s11517-011-0736-0 |
| format | Article |
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2
] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [
2
], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (−8 ms) and the initial contacts later (19 ms) than the footswitch-based method.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-011-0736-0</identifier><identifier>PMID: 21267666</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Acceleration ; Accelerometers ; Adult ; Algorithms ; Biomechanical Phenomena ; Biomechanics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biosensors ; Computer Applications ; Gait ; Gait - physiology ; Human Physiology ; Humans ; Imaging ; Kinesiology ; Male ; Medical research ; Monitoring, Ambulatory - instrumentation ; Monitoring, Ambulatory - methods ; Original Article ; Radiology ; Sensors ; Signal Processing, Computer-Assisted ; Studies ; Velocity ; Young Adult</subject><ispartof>Medical & biological engineering & computing, 2011-06, Vol.49 (6), p.707-712</ispartof><rights>International Federation for Medical and Biological Engineering 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-a4306c8f3c16d4309dd7ef0afef2e219af6a8b1114df2b3970c30444f74a46003</citedby><cites>FETCH-LOGICAL-c402t-a4306c8f3c16d4309dd7ef0afef2e219af6a8b1114df2b3970c30444f74a46003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-011-0736-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-011-0736-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21267666$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Jung Keun</creatorcontrib><creatorcontrib>Park, Edward J.</creatorcontrib><title>Quasi real-time gait event detection using shank-attached gyroscopes</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [
2
] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [
2
], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (−8 ms) and the initial contacts later (19 ms) than the footswitch-based method.</description><subject>Acceleration</subject><subject>Accelerometers</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Biomechanical Phenomena</subject><subject>Biomechanics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biosensors</subject><subject>Computer Applications</subject><subject>Gait</subject><subject>Gait - physiology</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Kinesiology</subject><subject>Male</subject><subject>Medical research</subject><subject>Monitoring, Ambulatory - instrumentation</subject><subject>Monitoring, Ambulatory - methods</subject><subject>Original Article</subject><subject>Radiology</subject><subject>Sensors</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Studies</subject><subject>Velocity</subject><subject>Young Adult</subject><issn>0140-0118</issn><issn>1741-0444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</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>eNqFkV1LwzAUhoMobn78AG-keONV9Zw0S9pLmZ8wEEGvQ5aebJ1bO5tU2L-3tVNBEK-ScJ6857znZewE4QIB1KVHHKGKATEGlcgYdtgQlWhfQohdNgQU0FXTATvwfgHAccTFPhtw5FJJKYfs-qkxvohqMss4FCuKZqYIEb1TGaKcAtlQVGXU-KKcRX5uytfYhGDsnPJotqkrb6s1-SO258zS0_H2PGQvtzfP4_t48nj3ML6axFYAD7ERCUibusSizNt7lueKHBhHjhPHzDhp0ikiitzxaZIpsEnnxClhhARIDtl5r7uuq7eGfNCrwltaLk1JVeN1qiTnqcT0f1JmoyzBUdKSZ7_IRdXUZWujg0Bx-JTDHrKtZV-T0-u6WJl6oxF0F4Xuo9DtsnUXhe6GPd0KN9MV5d8_vnbfArwHfFsqZ1T_dP5b9QPKqJJI</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Lee, Jung Keun</creator><creator>Park, Edward J.</creator><general>Springer-Verlag</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>7RV</scope><scope>7SC</scope><scope>7TB</scope><scope>7TS</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>20110601</creationdate><title>Quasi real-time gait event detection using shank-attached gyroscopes</title><author>Lee, Jung Keun ; Park, Edward J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-a4306c8f3c16d4309dd7ef0afef2e219af6a8b1114df2b3970c30444f74a46003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acceleration</topic><topic>Accelerometers</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Biomechanical Phenomena</topic><topic>Biomechanics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Biosensors</topic><topic>Computer Applications</topic><topic>Gait</topic><topic>Gait - physiology</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Kinesiology</topic><topic>Male</topic><topic>Medical research</topic><topic>Monitoring, Ambulatory - instrumentation</topic><topic>Monitoring, Ambulatory - methods</topic><topic>Original Article</topic><topic>Radiology</topic><topic>Sensors</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Studies</topic><topic>Velocity</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jung Keun</creatorcontrib><creatorcontrib>Park, Edward J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Medical & biological engineering & computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jung Keun</au><au>Park, Edward J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quasi real-time gait event detection using shank-attached gyroscopes</atitle><jtitle>Medical & biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2011-06-01</date><risdate>2011</risdate><volume>49</volume><issue>6</issue><spage>707</spage><epage>712</epage><pages>707-712</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [
2
] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [
2
], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (−8 ms) and the initial contacts later (19 ms) than the footswitch-based method.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>21267666</pmid><doi>10.1007/s11517-011-0736-0</doi><tpages>6</tpages></addata></record> |
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| ispartof | Medical & biological engineering & computing, 2011-06, Vol.49 (6), p.707-712 |
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| subjects | Acceleration Accelerometers Adult Algorithms Biomechanical Phenomena Biomechanics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biosensors Computer Applications Gait Gait - physiology Human Physiology Humans Imaging Kinesiology Male Medical research Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Original Article Radiology Sensors Signal Processing, Computer-Assisted Studies Velocity Young Adult |
| title | Quasi real-time gait event detection using shank-attached gyroscopes |
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