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Mobile assessment of the lower limb kinematics in healthy persons and in persons with degenerative knee disorders: A systematic review

R. van der Straaten, L. De Baets, I. Jonkers, A. Timmermans
2018 Gait & Posture  
A search was conducted in six electronic databases (ACM, CINAHL, EMBASE, IEEE, PubMed, Web of Science) to include papers assessing the knee and one or more adjacent joints by means of inertial sensors  ...  This systematic review aims to (1) investigate the application of inertial sensor systems and kinematics derived from these systems, and (2) assess if current assessment protocols consist of tasks which  ...  Author contributions All authors had a substantial contribution to the creation of this systematic review. The contribution of each author is specified below: Conception and design of the study R. van  ... 
doi:10.1016/j.gaitpost.2017.10.005 pmid:29096266 fatcat:inkdn53j6jfglbbugjjqrcuk7q

Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review

Dylan Kobsar, Zaryan Masood, Heba Khan, Noha Khalil, Marium Yossri Kiwan, Sarah Ridd, Matthew Tobis
2020 Sensors  
Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis.  ...  The back (n = 41) and the shank (n = 40) were the most common placements for inertial sensors.  ...  While mean ST parameters remain the most assessed outcomes in OA, recent work has highlighted the ability of inertial sensors to measure more advanced outcomes such as knee joint angles, KAM, and impact  ... 
doi:10.3390/s20247143 pmid:33322187 fatcat:chkvewgsmbd4vawwi3n4k7onyq

Validity and Reliability of an Inertial Sensor-Based Knee Proprioception Test in Younger vs. Older Adults

Anna Lina Rahlf, Evi Petersen, Dominique Rehwinkel, Astrid Zech, Daniel Hamacher
2019 Frontiers in Sports and Active Living  
Inertial sensor-based systems could address these issues. Consequently, this study sought to develop and evaluate an inertial sensor-based joint position sense test.  ...  Compared to younger adults, we registered a declined joint position sense in older adults with high effects observed for the absolute error in a target range of 15-25 and 35-45° as well as for the variable  ...  ACKNOWLEDGMENTS We want to thank all participants of this study.  ... 
doi:10.3389/fspor.2019.00027 pmid:33344951 pmcid:PMC7739624 fatcat:iaqnxnr5n5dybdaqqvoilyuxxm

Measuring joint kinematics of treadmill walking and running: Comparison between an inertial sensor based system and a camera-based system

Corina Nüesch, Elena Roos, Geert Pagenstert, Annegret Mündermann
2017 Journal of Biomechanics  
Acknowledgement 361 The authors thank Nils Altrogge for his assistance in data collection. This study was 362 funded in part by the Swiss National Science Foundation (SNSF #32003B_159871/1). 363  ...  In recent years, 68 the popularity of inertial sensor based motion analysis systems for assessing joint kinematics 69 has increased (Hamacher et al., 2014; Sprager and Juric, 2015) with the advantage of  ...  First in vivo assessment of "Outwalk": a novel protocol for clinical gait 384 analysis based on inertial and magnetic sensors. 48, 1-15. 385 Fleiss, J.L., 1986.  ... 
doi:10.1016/j.jbiomech.2017.03.015 pmid:28366438 fatcat:vskw2bzzw5hnrg2is56kqytqgq

Discriminant validity of 3D joint kinematics and centre of mass displacement measured by inertial sensor technology during the unipodal stance task

R. van der Straaten, M. Wesseling, I. Jonkers, B. Vanwanseele, A. K. B. D. Bruijnes, J. Malcorps, J. Bellemans, J. Truijen, L. De Baets, A. Timmermans, Jean L. McCrory
2020 PLoS ONE  
Inertial sensor based movement analysis can discriminate between healthy controls and persons with severe knee KOA for lateral trunk lean and hip flexion, but unfortunately not for the knee angles.  ...  Further research is required to improve the reproducibility and accuracy of the inertial sensor measurements before they can be used to assess differences in tasks with a small range of motion.  ...  Acknowledgments The authors would like to thank Jill Emmerzaal for assistance with the data processing. Author Contributions  ... 
doi:10.1371/journal.pone.0232513 pmid:32407415 fatcat:zpsombvjbjbevkglemo2yidlnm

Inertial Sensor Angular Velocities Reflect Dynamic Knee Loading during Single Limb Loading in Individuals Following Anterior Cruciate Ligament Reconstruction

Kristamarie A Pratt, Susan M Sigward
2018 Sensors  
As segment and joint kinematics are used to calculate moments and power, it is possible that more accessible inertial sensor technology can be used to identify knee loading deficits.  ...  Less expensive inertial sensors may be helpful in identifying deficits clinically.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2018, 18, 3460  ... 
doi:10.3390/s18103460 pmid:30326570 pmcid:PMC6210898 fatcat:cl24chqoyvgldlroodufc5zxmi

Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification

Erik Wilmes, Cornelis J. de Ruiter, Bram J.C. Bastiaansen, Jasper F.J.A. van Zon, Riemer J.K. Vegter, Michel S. Brink, Edwin A. Goedhart, Koen A.P.M. Lemmink, Geert J.P. Savelsbergh
2020 Sensors  
Inertial sensor-based measurements of lower body kinematics in football players may improve physical load estimates during training sessions and matches.  ...  However, the validity of inertial-based motion analysis systems is specific to both the type of movement and the intensity at which movements are executed.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20092527 pmid:32365622 pmcid:PMC7248913 fatcat:xig7ir6tibhcxksezkzpnvlox4

Reliability and Agreement of 3D Trunk and Lower Extremity Movement Analysis by Means of Inertial Sensor Technology for Unipodal and Bipodal Tasks

Rob Van der Straaten, Amber K. B. D. Bruijnes, Benedicte Vanwanseele, Ilse Jonkers, Liesbet De Baets, Annick Timmermans
2019 Sensors  
These results show that inertial sensor systems show promise for use in further research to investigate (mal)adaptive movement strategies.  ...  This study evaluates the reliability and agreement of the 3D range of motion (ROM) of trunk and lower limb joints, measured by inertial measurement units (MVN BIOMECH Awinda, Xsens Technologies), during  ...  Waveforms for each task, phase, and rotation are provided in Figures S1 and S2. Conflicts of Interest: The authors declare no conflict of interest. Sensors 2019, 19, 141  ... 
doi:10.3390/s19010141 fatcat:js7omqmxuraile57rc2urjatpq

Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review

Léonie Pacher, Christian Chatellier, Rodolphe Vauzelle, Laetitia Fradet
2020 Sensors  
An important issue in human kinematic analyses with inertial sensors is the necessity of defining the orientation of the inertial sensor coordinate system relative to its underlying segment coordinate  ...  Thanks to the development of inertial sensors based on microelectronics systems, human kinematic analysis in an ecological environment is made possible.  ...  For example, they consist of assessing differences between the mean joint angles obtained after applying each calibration result to the same trial [26, 31] , or assessing the joint angle differences obtained  ... 
doi:10.3390/s20113322 pmid:32545227 fatcat:onuysrlp6rhqpgognjia3k3hfe

Estimation of the ankle power during the terminal stance of gait using an inertial sensor

Toshinori Miyashita, Shintarou Kudo, Yoshihiro Maekawa
2019 Journal of Physical Therapy Science  
[Conclusion] Our novel method for gait analysis using an inertial sensor can assess the ankle power during the terminal stance phase of gait.  ...  [Purpose] The purpose of this study was to develop an assessment tool that reflects the ankle function during the terminal stance of gait using an inertial sensor.  ...  ACKNOwLEDgEMENT We would like to thank Kudo laboratory staff at the Morinomiya University of Medical Science, for their detailed comments, suggestions, and constant support.  ... 
doi:10.1589/jpts.31.354 pmid:31037009 pmcid:PMC6451948 fatcat:nrgc4547tbbfbjnuwif76xjopu

Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion

Andrés F. Ruiz-Olaya, Mauro Callejas-Cuervo, Claudia N. Lara-Herrera
2017 Dyna  
Este artículo se centra en el diseño, implementación y validación de un electrogoniómetro portátil basado en sensores inerciales y magnéticos para la adquisición del rango articular de movimiento.  ...  N., Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion. DYNA 84(201), pp. 180-185, 2017. other functional activities [2, 3] .  ...  Cb (4) Conclusions A low-cost electrogoniometer, based on inertial sensors, together with its application and validation in human joint angle monitoring is presented.  ... 
doi:10.15446/dyna.v84n201.59054 fatcat:4b7qu3s76jdc7pv6zbmufpfi64

Poor Motor Coordination Elicits Altered Lower Limb Biomechanics in Young Football (Soccer) Players: Implications for Injury Prevention through Wearable Sensors

Stefano Di Paolo, Stefano Zaffagnini, Nicola Pizza, Alberto Grassi, Laura Bragonzoni
2021 Sensors  
Wearable inertial sensors (MTw Awinda, Xsens) were used to assess lower limb joint angles and accelerations.  ...  Significant biomechanical limb asymmetries were found only in the PC group for the knee joint (31–39% difference between dominant and non-dominant limb, ES 1.6–2.3).  ...  Hip, knee, and ankle biomechanics (joint angles and joint accelerations) were recorded for all the tasks of the training drill at a sampling frequency of 100 Hz and HD re-processed for drift inaccuracies  ... 
doi:10.3390/s21134371 pmid:34202369 fatcat:hqgkffmr4rhu5kgzcvpjpnjofm

Wearable systems for shoulder kinematics assessment: a systematic review

Arianna Carnevale, Umile Giuseppe Longo, Emiliano Schena, Carlo Massaroni, Daniela Lo Presti, Alessandra Berton, Vincenzo Candela, Vincenzo Denaro
2019 BMC Musculoskeletal Disorders  
The results showed that magneto and/or inertial sensors are the most used.  ...  Wearable sensors are acquiring more and more influence in diagnostic and rehabilitation field to assess motor abilities of people with neurological or musculoskeletal impairments.  ...  The magneto-inertial measurements systems resulted the most used in clinical and research settings, followed by the growing application of smart-textiles for joint angles assessment.  ... 
doi:10.1186/s12891-019-2930-4 pmid:31731893 pmcid:PMC6858749 fatcat:ije6o4bsqnahboqw2n53pfjy3i

Automatic Synchronization of Markerless Video and Wearable Sensors for Walking Assessment

Yi Chiew Han, Kiing Ing Wong, Iain Murray
2019 IEEE Sensors Journal  
As walking assessment is commonly done through visual inspection, it is beneficial to make joint angle information available to the clinicians for better assessment.  ...  This creates a problem that the inertial sensor data is not temporally synchronized with the video camera.  ...  The synchronized joint angle information obtained from the inertial sensors can be placed side-by-side to the video for clinicians to perform better visual inspection.  ... 
doi:10.1109/jsen.2019.2916163 fatcat:trdfrn2g3vhbpffdph6hxmm7iu

IMU sensor-based data glove for finger joint measurement

Muhammad Ajwad Wa'ie Hazman, Ili Najaa Aimi Mohd Nordin, Faridah Hanim Mohd Noh, Nurulaqilla Khamis, M. R. M. Razif, Ahmad Athif Faudzi, Asyikin Sasha Mohd Hanif
2020 Indonesian Journal of Electrical Engineering and Computer Science  
This paper presents an inertial measurement unit sensor-based data glove for finger joint measurement developed for collecting a range of motion data of distal interphalangeal, proximal interphalangeal  ...  In conclusion, the inertial measurement unit sensor-based data glove using MPU-6050 sensors can be a reliable solution for tracking the progress of finger rehabilitation exercises.  ...  The authors are fully acknowledged by the Ministry of Education Malaysia and Universiti Tun Hussein Onn Malaysia for the approved fund which makes this important research viable and effective.  ... 
doi:10.11591/ijeecs.v20.i1.pp82-88 fatcat:d2xsbakuhzcjjajnk4y2drupzi
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