Filippo Bertozzi, Claudia Brunetti, Pietro Maver, Marco Palombi, Matilde Santini, Manuela Galli, Marco Tarabini
{"title":"在认知挑战性着陆任务中,IMU和基于手机的无标记系统对下肢运动学的并发有效性。","authors":"Filippo Bertozzi, Claudia Brunetti, Pietro Maver, Marco Palombi, Matilde Santini, Manuela Galli, Marco Tarabini","doi":"10.1016/j.jbiomech.2025.112883","DOIUrl":null,"url":null,"abstract":"<p><p>Alternative technologies, such as IMU and low-cost markerless systems, may overcome the drawbacks of optoelectronic marker-based motion capture systems (OMS) in sports non-contact injury risk screening, but the precision of collected kinematic data must be validated in comparison to OMS. This study assessed the concurrent validity of the Xsens IMU and phone-based OpenCap systems for lower-limb kinematics during cognitively-challenging landing tasks. Thirty competitive athletes (13 females, 17 males) performed unplanned jump-land-jump tasks towards lateral secondary directions while kinematics was simultaneously recorded with OMS, Xsens, and OpenCap. The agreement of lower limb joint discrete (initial contact and peak) values was assessed using Bland-Altman plots. Kinematic waveforms validity and similarity were evaluated through RMSE, normalized RMSE (NRMSE), and coefficient of multiple correlation (CMC). All systems were also compared using statistical parametric mapping (SPM) ANOVA. Time series exhibited very strong similarity (CMC > 0.85) on the sagittal plane for both systems. Highly variable validity and agreement were found based on the joint and plane considered. The lowest error and bias were found for knee flexion (NRMSE ≤ 10%), while the hip rotation demonstrated the lowest agreement for both systems. SPM reported significantly different clusters across the contact phase between the systems for most kinematic variables. The findings corroborate that IMU- and phone-based systems generate sagittal joint kinematic waveforms that are comparable in shape with respect to OMS, although magnitude differences were observed for hip flexion. However, the validity of kinematics in the transverse and frontal plane (knee data not available in OpenCap) was limited, as variability and systematic errors must be acknowledged.</p>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"191 ","pages":"112883"},"PeriodicalIF":2.4000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Concurrent validity of IMU and phone-based markerless systems for lower-limb kinematics during cognitively-challenging landing tasks.\",\"authors\":\"Filippo Bertozzi, Claudia Brunetti, Pietro Maver, Marco Palombi, Matilde Santini, Manuela Galli, Marco Tarabini\",\"doi\":\"10.1016/j.jbiomech.2025.112883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Alternative technologies, such as IMU and low-cost markerless systems, may overcome the drawbacks of optoelectronic marker-based motion capture systems (OMS) in sports non-contact injury risk screening, but the precision of collected kinematic data must be validated in comparison to OMS. This study assessed the concurrent validity of the Xsens IMU and phone-based OpenCap systems for lower-limb kinematics during cognitively-challenging landing tasks. Thirty competitive athletes (13 females, 17 males) performed unplanned jump-land-jump tasks towards lateral secondary directions while kinematics was simultaneously recorded with OMS, Xsens, and OpenCap. The agreement of lower limb joint discrete (initial contact and peak) values was assessed using Bland-Altman plots. Kinematic waveforms validity and similarity were evaluated through RMSE, normalized RMSE (NRMSE), and coefficient of multiple correlation (CMC). All systems were also compared using statistical parametric mapping (SPM) ANOVA. Time series exhibited very strong similarity (CMC > 0.85) on the sagittal plane for both systems. Highly variable validity and agreement were found based on the joint and plane considered. The lowest error and bias were found for knee flexion (NRMSE ≤ 10%), while the hip rotation demonstrated the lowest agreement for both systems. SPM reported significantly different clusters across the contact phase between the systems for most kinematic variables. The findings corroborate that IMU- and phone-based systems generate sagittal joint kinematic waveforms that are comparable in shape with respect to OMS, although magnitude differences were observed for hip flexion. However, the validity of kinematics in the transverse and frontal plane (knee data not available in OpenCap) was limited, as variability and systematic errors must be acknowledged.</p>\",\"PeriodicalId\":15168,\"journal\":{\"name\":\"Journal of biomechanics\",\"volume\":\"191 \",\"pages\":\"112883\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of biomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jbiomech.2025.112883\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/5 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.jbiomech.2025.112883","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Concurrent validity of IMU and phone-based markerless systems for lower-limb kinematics during cognitively-challenging landing tasks.
Alternative technologies, such as IMU and low-cost markerless systems, may overcome the drawbacks of optoelectronic marker-based motion capture systems (OMS) in sports non-contact injury risk screening, but the precision of collected kinematic data must be validated in comparison to OMS. This study assessed the concurrent validity of the Xsens IMU and phone-based OpenCap systems for lower-limb kinematics during cognitively-challenging landing tasks. Thirty competitive athletes (13 females, 17 males) performed unplanned jump-land-jump tasks towards lateral secondary directions while kinematics was simultaneously recorded with OMS, Xsens, and OpenCap. The agreement of lower limb joint discrete (initial contact and peak) values was assessed using Bland-Altman plots. Kinematic waveforms validity and similarity were evaluated through RMSE, normalized RMSE (NRMSE), and coefficient of multiple correlation (CMC). All systems were also compared using statistical parametric mapping (SPM) ANOVA. Time series exhibited very strong similarity (CMC > 0.85) on the sagittal plane for both systems. Highly variable validity and agreement were found based on the joint and plane considered. The lowest error and bias were found for knee flexion (NRMSE ≤ 10%), while the hip rotation demonstrated the lowest agreement for both systems. SPM reported significantly different clusters across the contact phase between the systems for most kinematic variables. The findings corroborate that IMU- and phone-based systems generate sagittal joint kinematic waveforms that are comparable in shape with respect to OMS, although magnitude differences were observed for hip flexion. However, the validity of kinematics in the transverse and frontal plane (knee data not available in OpenCap) was limited, as variability and systematic errors must be acknowledged.
期刊介绍:
The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted, and the journal accepts original articles, surveys and perspective articles (usually by Editorial invitation only), book reviews and letters to the Editor. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership.
Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to:
-Fundamental Topics - Biomechanics of the musculoskeletal, cardiovascular, and respiratory systems, mechanics of hard and soft tissues, biofluid mechanics, mechanics of prostheses and implant-tissue interfaces, mechanics of cells.
-Cardiovascular and Respiratory Biomechanics - Mechanics of blood-flow, air-flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions.
-Cell Biomechanics - Biomechanic analyses of cells, membranes and sub-cellular structures; the relationship of the mechanical environment to cell and tissue response.
-Dental Biomechanics - Design and analysis of dental tissues and prostheses, mechanics of chewing.
-Functional Tissue Engineering - The role of biomechanical factors in engineered tissue replacements and regenerative medicine.
-Injury Biomechanics - Mechanics of impact and trauma, dynamics of man-machine interaction.
-Molecular Biomechanics - Mechanical analyses of biomolecules.
-Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints, wear of natural and artificial joints.
-Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics.
-Sports Biomechanics - Mechanical analyses of sports performance.