Gait event detection accuracy: Effects of amputee gait pattern, terrain and algorithm
Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation while walking on different terrains is still limited. The aim of this study was to evaluate the accuracy of three kine...
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| Veröffentlicht in: | Journal of biomechanics 2024-12, Vol.177, p.112384, Article 112384 |
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| container_title | Journal of biomechanics |
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| creator | Muñoz-Larrosa, Eugenia Soledad Riveras, Mauricio Oldfield, Matthew Shaheen, Aliah F Schlotthauer, Gaston Catalfamo-Formento, Paola |
| description | Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation while walking on different terrains is still limited. The aim of this study was to evaluate the accuracy of three kinematic-based algorithms:
Coordinate-Based Algorithm (CBA), Velocity-Based Algorithm (VBA) and High-Pass Filtered Algorithms (HPA) for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. Twelve subjects with unilateral transtibial amputation, using a hydraulic ankle prosthesis, walked at self-selected walking speed, on level ground and up and down a slope. Detection of Initial Contact (IC) and Foot Off (FO) by the three algorithms for intact and prosthetic limbs was compared with detection by force platforms using the True Error (TE) (time difference in detection). Mean TE found for over 100 events analysed per condition were smaller than 40 ms for both events in all conditions (approximately 6 % of stance phase). Significant interactions (p |
| doi_str_mv | 10.1016/j.jbiomech.2024.112384 |
| format | Article |
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Coordinate-Based Algorithm (CBA), Velocity-Based Algorithm (VBA) and High-Pass Filtered Algorithms (HPA) for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. Twelve subjects with unilateral transtibial amputation, using a hydraulic ankle prosthesis, walked at self-selected walking speed, on level ground and up and down a slope. Detection of Initial Contact (IC) and Foot Off (FO) by the three algorithms for intact and prosthetic limbs was compared with detection by force platforms using the True Error (TE) (time difference in detection). Mean TE found for over 100 events analysed per condition were smaller than 40 ms for both events in all conditions (approximately 6 % of stance phase). Significant interactions (p < 0.01) were found between terrain and algorithm, limb and algorithm, and also a main effect for the algorithm. Post-hoc analyses indicate that the algorithm, the limb and the terrain had an effect on the accuracy in detection.
If an accuracy of 40 ms is acceptable for the particular application, then all three algorithms can be used for event detection in amputee gait. However, if accuracy in detection of events is crucial for the intended application, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended.</description><identifier>ISSN: 0021-9290</identifier><identifier>ISSN: 1873-2380</identifier><identifier>EISSN: 1873-2380</identifier><identifier>DOI: 10.1016/j.jbiomech.2024.112384</identifier><identifier>PMID: 39486383</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Accuracy ; Adult ; Algorithms ; Amputation ; Amputees ; Ankle ; Artificial Limbs ; Biomechanical Phenomena ; Biomechanics ; Error analysis ; Error detection ; Female ; Foot Off ; Force plates ; Gait ; Gait - physiology ; Gait Analysis - methods ; Humans ; Initial Contact ; Kinematics ; Laboratories ; Level Ground ; Male ; Middle Aged ; Prostheses ; Ramp ; Slope ; Software ; Statistical analysis ; Terrain ; Velocity ; Walking ; Walking - physiology</subject><ispartof>Journal of biomechanics, 2024-12, Vol.177, p.112384, Article 112384</ispartof><rights>2024</rights><rights>Copyright © 2024. Published by Elsevier Ltd.</rights><rights>Copyright Elsevier Limited Dec 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c273t-d1d7424c33d44daf466f74ec353388453792bfafa735759dca93a1f719ecec143</cites><orcidid>0000-0002-3858-9792</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0021929024004627$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39486383$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Muñoz-Larrosa, Eugenia Soledad</creatorcontrib><creatorcontrib>Riveras, Mauricio</creatorcontrib><creatorcontrib>Oldfield, Matthew</creatorcontrib><creatorcontrib>Shaheen, Aliah F</creatorcontrib><creatorcontrib>Schlotthauer, Gaston</creatorcontrib><creatorcontrib>Catalfamo-Formento, Paola</creatorcontrib><title>Gait event detection accuracy: Effects of amputee gait pattern, terrain and algorithm</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation while walking on different terrains is still limited. The aim of this study was to evaluate the accuracy of three kinematic-based algorithms:
Coordinate-Based Algorithm (CBA), Velocity-Based Algorithm (VBA) and High-Pass Filtered Algorithms (HPA) for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. Twelve subjects with unilateral transtibial amputation, using a hydraulic ankle prosthesis, walked at self-selected walking speed, on level ground and up and down a slope. Detection of Initial Contact (IC) and Foot Off (FO) by the three algorithms for intact and prosthetic limbs was compared with detection by force platforms using the True Error (TE) (time difference in detection). Mean TE found for over 100 events analysed per condition were smaller than 40 ms for both events in all conditions (approximately 6 % of stance phase). Significant interactions (p < 0.01) were found between terrain and algorithm, limb and algorithm, and also a main effect for the algorithm. Post-hoc analyses indicate that the algorithm, the limb and the terrain had an effect on the accuracy in detection.
If an accuracy of 40 ms is acceptable for the particular application, then all three algorithms can be used for event detection in amputee gait. However, if accuracy in detection of events is crucial for the intended application, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Amputation</subject><subject>Amputees</subject><subject>Ankle</subject><subject>Artificial Limbs</subject><subject>Biomechanical Phenomena</subject><subject>Biomechanics</subject><subject>Error analysis</subject><subject>Error detection</subject><subject>Female</subject><subject>Foot Off</subject><subject>Force plates</subject><subject>Gait</subject><subject>Gait - physiology</subject><subject>Gait Analysis - methods</subject><subject>Humans</subject><subject>Initial Contact</subject><subject>Kinematics</subject><subject>Laboratories</subject><subject>Level Ground</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prostheses</subject><subject>Ramp</subject><subject>Slope</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Terrain</subject><subject>Velocity</subject><subject>Walking</subject><subject>Walking - physiology</subject><issn>0021-9290</issn><issn>1873-2380</issn><issn>1873-2380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEFPHCEYhkmjqVvbv2BIevHQWYGPGWZ6qjHWmph4qWfCwocy2Rm2wJj472Wz2kMvvQAhz_t-Xx5Czjhbc8a7i3E9bkKc0D6tBRNyzbmAXn4gK94raOqbHZEVY4I3gxjYCfmU88gYU1INH8kJDLLvoIcVebgxoVB8xrlQhwVtCXGmxtolGfvynV57X_8yjZ6aabcURPq4T-xMKZjmb7SeyYQamR0128eYQnmaPpNjb7YZv7zdp-Th5_Xvq1_N3f3N7dXlXWOFgtI47pQU0gI4KZ3xsuu8kmihBeh72YIaxMYbbxS0qh2cNQMY7hUf0KLlEk7J-aF3l-KfBXPRU8gWt1szY1yyhmqlbRnrWEW__oOOcUlz3a5SkreCd6Aq1R0om2LOCb3epTCZ9KI503vxetTv4vVevD6Ir8Gzt_plM6H7G3s3XYEfBwCrj-eASWcbcLboQqqGtYvhfzNeAe6Mlo4</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Muñoz-Larrosa, Eugenia Soledad</creator><creator>Riveras, Mauricio</creator><creator>Oldfield, Matthew</creator><creator>Shaheen, Aliah F</creator><creator>Schlotthauer, Gaston</creator><creator>Catalfamo-Formento, Paola</creator><general>Elsevier Ltd</general><general>Elsevier Limited</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>7QP</scope><scope>7TB</scope><scope>7TS</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3858-9792</orcidid></search><sort><creationdate>202412</creationdate><title>Gait event detection accuracy: Effects of amputee gait pattern, terrain and algorithm</title><author>Muñoz-Larrosa, Eugenia Soledad ; Riveras, Mauricio ; Oldfield, Matthew ; Shaheen, Aliah F ; Schlotthauer, Gaston ; Catalfamo-Formento, Paola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-d1d7424c33d44daf466f74ec353388453792bfafa735759dca93a1f719ecec143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Amputation</topic><topic>Amputees</topic><topic>Ankle</topic><topic>Artificial Limbs</topic><topic>Biomechanical Phenomena</topic><topic>Biomechanics</topic><topic>Error analysis</topic><topic>Error detection</topic><topic>Female</topic><topic>Foot Off</topic><topic>Force plates</topic><topic>Gait</topic><topic>Gait - physiology</topic><topic>Gait Analysis - methods</topic><topic>Humans</topic><topic>Initial Contact</topic><topic>Kinematics</topic><topic>Laboratories</topic><topic>Level Ground</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prostheses</topic><topic>Ramp</topic><topic>Slope</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Terrain</topic><topic>Velocity</topic><topic>Walking</topic><topic>Walking - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Muñoz-Larrosa, Eugenia Soledad</creatorcontrib><creatorcontrib>Riveras, Mauricio</creatorcontrib><creatorcontrib>Oldfield, Matthew</creatorcontrib><creatorcontrib>Shaheen, Aliah F</creatorcontrib><creatorcontrib>Schlotthauer, Gaston</creatorcontrib><creatorcontrib>Catalfamo-Formento, Paola</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Muñoz-Larrosa, Eugenia Soledad</au><au>Riveras, Mauricio</au><au>Oldfield, Matthew</au><au>Shaheen, Aliah F</au><au>Schlotthauer, Gaston</au><au>Catalfamo-Formento, Paola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gait event detection accuracy: Effects of amputee gait pattern, terrain and algorithm</atitle><jtitle>Journal of biomechanics</jtitle><addtitle>J Biomech</addtitle><date>2024-12</date><risdate>2024</risdate><volume>177</volume><spage>112384</spage><pages>112384-</pages><artnum>112384</artnum><issn>0021-9290</issn><issn>1873-2380</issn><eissn>1873-2380</eissn><abstract>Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation while walking on different terrains is still limited. The aim of this study was to evaluate the accuracy of three kinematic-based algorithms:
Coordinate-Based Algorithm (CBA), Velocity-Based Algorithm (VBA) and High-Pass Filtered Algorithms (HPA) for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. Twelve subjects with unilateral transtibial amputation, using a hydraulic ankle prosthesis, walked at self-selected walking speed, on level ground and up and down a slope. Detection of Initial Contact (IC) and Foot Off (FO) by the three algorithms for intact and prosthetic limbs was compared with detection by force platforms using the True Error (TE) (time difference in detection). Mean TE found for over 100 events analysed per condition were smaller than 40 ms for both events in all conditions (approximately 6 % of stance phase). Significant interactions (p < 0.01) were found between terrain and algorithm, limb and algorithm, and also a main effect for the algorithm. Post-hoc analyses indicate that the algorithm, the limb and the terrain had an effect on the accuracy in detection.
If an accuracy of 40 ms is acceptable for the particular application, then all three algorithms can be used for event detection in amputee gait. However, if accuracy in detection of events is crucial for the intended application, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>39486383</pmid><doi>10.1016/j.jbiomech.2024.112384</doi><orcidid>https://orcid.org/0000-0002-3858-9792</orcidid></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Accuracy Adult Algorithms Amputation Amputees Ankle Artificial Limbs Biomechanical Phenomena Biomechanics Error analysis Error detection Female Foot Off Force plates Gait Gait - physiology Gait Analysis - methods Humans Initial Contact Kinematics Laboratories Level Ground Male Middle Aged Prostheses Ramp Slope Software Statistical analysis Terrain Velocity Walking Walking - physiology |
| title | Gait event detection accuracy: Effects of amputee gait pattern, terrain and algorithm |
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