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McClintock FA, Callaway AJ, Clark CJ, Williams JM. Validity and reliability of inertial measurement units used to measure motion of the lumbar spine: A systematic review of individuals with and without low back pain. Med Eng Phys 2024; 126:104146. [PMID: 38621847 DOI: 10.1016/j.medengphy.2024.104146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/22/2023] [Accepted: 03/09/2024] [Indexed: 04/17/2024]
Abstract
Low back pain (LBP) is a leading cause of disability, resulting in aberrant movement. This movement is difficult to measure accurately in clinical practice and gold standard methods, such as optoelectronic systems involve the use of expensive laboratory equipment. Inertial measurement units (IMU) offer an alternative method of quantifying movement that is accessible in most environments. However, there is no consensus around the validity and reliability of IMUs for quantifying lumbar spine movements compared with gold standard measures. The aim of this systematic review was to establish concurrent validity and repeated measures reliability of using IMUs for the measurement of lumbar spine movements in individuals with and without LBP. A systematic search of electronic databases, incorporating PRISMA guidelines was completed, limited to the English language. 503 studies were identified where 15 studies met the inclusion criteria. Overall, 305 individuals were included, and 109 of these individuals had LBP. Weighted synthesis of the results demonstrated root mean squared differences of <2.4° compared to the gold standard and intraclass correlations >0.84 for lumbar spine movements. IMUs offer clinicians and researchers valid and reliable measurement of motion in the lumbar spine, comparable to laboratory methods, such as optoelectronic motion capture for individuals with and without LBP.
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Affiliation(s)
- Frederick A McClintock
- Faculty of Health and Social Sciences, Bournemouth University, Fern Barrow, Poole BH12 5BB, United Kingdom.
| | - Andrew J Callaway
- Faculty of Health and Social Sciences, Bournemouth University, Fern Barrow, Poole BH12 5BB, United Kingdom
| | - Carol J Clark
- Faculty of Health and Social Sciences, Bournemouth University, Fern Barrow, Poole BH12 5BB, United Kingdom
| | - Jonathan M Williams
- Faculty of Health and Social Sciences, Bournemouth University, Fern Barrow, Poole BH12 5BB, United Kingdom
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2
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Horsley BJ, Tofari PJ, Halson SL, Kemp JG, Chalkley D, Cole MH, Johnston RD, Cormack SJ. Validity and Reliability of Thoracic-Mounted Inertial Measurement Units to Derive Gait Characteristics During Running. J Strength Cond Res 2024; 38:274-282. [PMID: 37884006 DOI: 10.1519/jsc.0000000000004612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
ABSTRACT Horsley, BJ, Tofari, PJ, Halson, SL, Kemp, JG, Chalkley, D, Cole, MH, Johnston, RD, and Cormack, SJ. Validity and reliability of thoracic-mounted inertial measurement units to derive gait characteristics during running. J Strength Cond Res 38(2): 274-282, 2024-Inertial measurement units (IMUs) attached to the tibia or lumbar spine can be used to analyze running gait but, with team-sports, are often contained in global navigation satellite system (GNSS) units worn on the thoracic spine. We assessed the validity and reliability of thoracic-mounted IMUs to derive gait characteristics, including peak vertical ground reaction force (vGRF peak ) and vertical stiffness (K vert ). Sixteen recreationally active subjects performed 40 m run throughs at 3-4, 5-6, and 7-8 m·s -1 . Inertial measurement units were attached to the tibia, lumbar, and thoracic spine, whereas 2 GNSS units were also worn on the thoracic spine. Initial contact (IC) from a validated algorithm was evaluated with F1 score and agreement (mean difference ± SD ) of gait data with the tibia and lumbar spine using nonparametric limits of agreement (LoA). Test-retest error {coefficient of variation, CV (95% confidence interval [CI])} established reliability. Thoracic IMUs detected a nearly perfect proportion (F1 ≥ 0.95) of IC events compared with tibia and lumbar sites. Step length had the strongest agreement (0 ± 0.04 m) at 3-4 m·s -1 , whereas contact time improved from 3 to 4 (-0.028 ± 0.018 second) to 7-8 m·s -1 (-0.004 ± 0.013 second). All values for K vert fell within the LoA at 7-8 m·s -1 . Test-retest error was ≤12.8% for all gait characteristics obtained from GNSS units, where K vert was most reliable at 3-4 m·s -1 (6.8% [5.2, 9.6]) and vGRF peak at 7-8 m·s -1 (3.7% [2.5, 5.2]). The thoracic-spine site is suitable to derive gait characteristics, including K vert , from IMUs within GNSS units, eliminating the need for additional sensors to analyze running gait.
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Affiliation(s)
- Benjamin J Horsley
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Paul J Tofari
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Shona L Halson
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Justin G Kemp
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Daniel Chalkley
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Michael H Cole
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Rich D Johnston
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
- Carnegie Applied Rugby Research (CARR) Centre, Leeds Beckett University, Leeds, United Kingdom
| | - Stuart J Cormack
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
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Lin YC, Price K, Carmichael DS, Maniar N, Hickey JT, Timmins RG, Heiderscheit BC, Blemker SS, Opar DA. Validity of Inertial Measurement Units to Measure Lower-Limb Kinematics and Pelvic Orientation at Submaximal and Maximal Effort Running Speeds. SENSORS (BASEL, SWITZERLAND) 2023; 23:9599. [PMID: 38067972 PMCID: PMC10708829 DOI: 10.3390/s23239599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023]
Abstract
Inertial measurement units (IMUs) have been validated for measuring sagittal plane lower-limb kinematics during moderate-speed running, but their accuracy at maximal speeds remains less understood. This study aimed to assess IMU measurement accuracy during high-speed running and maximal effort sprinting on a curved non-motorized treadmill using discrete (Bland-Altman analysis) and continuous (root mean square error [RMSE], normalised RMSE, Pearson correlation, and statistical parametric mapping analysis [SPM]) metrics. The hip, knee, and ankle flexions and the pelvic orientation (tilt, obliquity, and rotation) were captured concurrently from both IMU and optical motion capture systems, as 20 participants ran steadily at 70%, 80%, 90%, and 100% of their maximal effort sprinting speed (5.36 ± 0.55, 6.02 ± 0.60, 6.66 ± 0.71, and 7.09 ± 0.73 m/s, respectively). Bland-Altman analysis indicated a systematic bias within ±1° for the peak pelvic tilt, rotation, and lower-limb kinematics and -3.3° to -4.1° for the pelvic obliquity. The SPM analysis demonstrated a good agreement in the hip and knee flexion angles for most phases of the stride cycle, albeit with significant differences noted around the ipsilateral toe-off. The RMSE ranged from 4.3° (pelvic obliquity at 70% speed) to 7.8° (hip flexion at 100% speed). Correlation coefficients ranged from 0.44 (pelvic tilt at 90%) to 0.99 (hip and knee flexions at all speeds). Running speed minimally but significantly affected the RMSE for the hip and ankle flexions. The present IMU system is effective for measuring lower-limb kinematics during sprinting, but the pelvic orientation estimation was less accurate.
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Affiliation(s)
- Yi-Chung Lin
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
| | - Kara Price
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
| | - Declan S. Carmichael
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
| | - Nirav Maniar
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
| | - Jack T. Hickey
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
- Department of Sport Science and Nutrition, Maynooth University, W23 F2H6 Co. Kildare, Ireland
| | - Ryan G. Timmins
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
| | - Bryan C. Heiderscheit
- Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI 53705, USA;
| | - Silvia S. Blemker
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA;
- Springbok Analytics, Charlottesville, VA 22902, USA
| | - David A. Opar
- School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia; (K.P.); (D.S.C.); (N.M.); (J.T.H.); (R.G.T.); (D.A.O.)
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia
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Guppy F, Muniz-Pardos B, Angeloudis K, Grivas GV, Pitsiladis A, Bundy R, Zelenkova I, Tanisawa K, Akiyama H, Keramitsoglou I, Miller M, Knopp M, Schweizer F, Luckfiel T, Ruiz D, Racinais S, Pitsiladis Y. Technology Innovation and Guardrails in Elite Sport: The Future is Now. Sports Med 2023; 53:97-113. [PMID: 37787844 PMCID: PMC10721698 DOI: 10.1007/s40279-023-01913-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2023] [Indexed: 10/04/2023]
Abstract
A growing number of companies are developing or using wearable sensor technologies that can monitor, analyse and transmit data from humans in real time that can be used by the sporting, biomedical and media industries. To explore this phenomenon, we describe and review two high-profile sporting events where innovations in wearable technologies were trialled: the Tokyo 2020 Summer Olympic Games (Tokyo 2020, Japan) and the 2022 adidas Road to Records (Germany). These two major sporting events were the first time academic and industry partners came together to implement real-time wearable solutions during major competition, to protect the health of athletes competing in hot and humid environments, as well as to better understand how these metrics can be used moving forwards. Despite the undoubted benefits of such wearables, there are well-founded concerns regarding their use including: (1) limited evidence quantifying the potential beneficial effects of analysing specific parameters, (2) the quality of hardware and provided data, (3) information overload, (4) data security and (5) exaggerated marketing claims. Employment and sporting rules and regulations also need to evolve to facilitate the use of wearable devices. There is also the potential to obtain real-time data that will oblige medical personnel to make crucial decisions around whether their athletes should continue competing or withdraw for health reasons. To protect athletes, the urgent need is to overcome these ethical/data protection concerns and develop wearable technologies that are backed by quality science. The fields of sport and exercise science and medicine provide an excellent platform to understand the impact of wearable sensors on performance, wellness, health, and disease.
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Affiliation(s)
- Fergus Guppy
- Institute of Life and Earth Sciences, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, UK
| | - Borja Muniz-Pardos
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health and Sport Sciences, University of Zaragoza, Saragossa, Spain
| | - Konstantinos Angeloudis
- Institute of Life and Earth Sciences, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, UK
| | - Gerasimos V Grivas
- Physical Education and Sports, Division of Humanities and Political Sciences, Hellenic Naval Academy, Piraeus, Athens, Greece
| | | | | | - Irina Zelenkova
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health and Sport Sciences, University of Zaragoza, Saragossa, Spain
| | - Kumpei Tanisawa
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
| | - Hiroshi Akiyama
- Graduate School of Sport Sciences, Waseda University, Tokorozawa, Japan
| | | | - Mike Miller
- Human Telemetrics, London, UK
- World Olympians Association, Lausanne, Switzerland
| | - Melanie Knopp
- adidas Innovation, adidas AG, Herzogenaurach, Germany
| | | | | | - Daniel Ruiz
- adidas Innovation, adidas AG, Herzogenaurach, Germany
| | - Sebastien Racinais
- Environmental Stress Unit, CREPS Montpellier - Font Romeu, Montpellier, France
| | - Yannis Pitsiladis
- Human Telemetrics, London, UK.
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong SAR, Hong Kong.
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5
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Myhill N, Weaving D, Robinson M, Barrett S, Emmonds S. Concurrent validity and between-unit reliability of a foot-mounted inertial measurement unit to measure velocity during team sport activity. SCI MED FOOTBALL 2023:1-9. [PMID: 37464797 DOI: 10.1080/24733938.2023.2237493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/07/2023] [Indexed: 07/20/2023]
Abstract
The concurrent validity and between-unit reliability of a foot-mounted inertial measurement unit (F-IMU) was investigated during linear and change of direction running drills. Sixteen individuals performed four repetitions of two drills (maximal acceleration and flying 10 m sprint) and five repetitions of a multi-directional movement protocol. Participants wore two F-IMUs (Playermaker) and 10 retro-reflective markers to allow for comparisons to the criterion system (Qualisys). Validity of the F-IMU derived velocity was assessed via root-mean-square error (RMSE), 95% limits of agreement (LoA) and mean difference with 95% confidence interval (CI). Between-unit reliability was assessed via intraclass correlation (ICC) with 90% CI and 95% LoA. The mean difference for instantaneous velocity for all participants and drills combined was -0.048 ± 0.581 m ∙ s-1, the LoA were from -1.09 to -1.186 m ∙ s-1 and RMSE was 0.583 m ∙ s-1. The ICC ranged from 0.84 to 1, with LoA from -7.412 to 2.924 m ∙ s-1. Differences were dependent on the reference speed, with the greatest absolute difference (-0.66 m ∙ s-1) found at velocities above 7 m ∙ s-1. Between-unit reliability of the F-IMU ranges from good to excellent for all locomotor characteristics. Playermaker has good agreement with 3D motion capture for velocity and good to excellent between-unit reliability.
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Affiliation(s)
- Naomi Myhill
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- The Football Association, Burton Upon Trent, UK
| | - Dan Weaving
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Mark Robinson
- School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Steve Barrett
- Sports Science, Performance Analysis, Research and Coaching, London, UK
| | - Stacey Emmonds
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- The Football Association, Burton Upon Trent, UK
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6
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Scataglini S, Van Dyck Z, Declercq V, Van Cleemput G, Struyf N, Truijen S. Effect of Music Based Therapy Rhythmic Auditory Stimulation (RAS) Using Wearable Device in Rehabilitation of Neurological Patients: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:5933. [PMID: 37447782 DOI: 10.3390/s23135933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/09/2023] [Accepted: 06/17/2023] [Indexed: 07/15/2023]
Abstract
(1) Background: Even though music therapy is acknowledged to have positive benefits in neurology, there is still a lack of knowledge in the literature about the applicability of music treatments in clinical practice with a neurological population using wearable devices. (2) Methods: a systematic review was conducted following PRISMA 2020 guidelines on the 29 October 2022, searching in five databases: PubMed, PEDro, Medline, Web of Science, and Science Direct. (3) Results: A total of 2964 articles were found, including 413 from PubMed, 248 from Web of Science, 2110 from Science Direct, 163 from Medline, and none from PEDro. Duplicate entries, of which there were 1262, were eliminated. In the first screening phase, 1702 papers were screened for title and abstract. Subsequently, 1667 papers were removed, based on population, duplicate, outcome, and poor study design. Only 15 studies were considered after 35 papers had their full texts verified. Results showed significant values of spatiotemporal gait parameters in music-based therapy rhythmic auditory stimulation (RAS), including speed, stride length, cadence, and ROM. (4) Conclusions: The current findings confirm the value of music-based therapy RAS as a favorable and effective tool to implement in the health care system for the rehabilitation of patients with movement disorders.
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Affiliation(s)
- Sofia Scataglini
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
| | - Zala Van Dyck
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
| | - Véronique Declercq
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
| | - Gitte Van Cleemput
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
| | - Nele Struyf
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
| | - Steven Truijen
- 4D4ALL Lab, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerpen, Belgium
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Havashinezhadian S, Chiasson-Poirier L, Sylvestre J, Turcot K. Inertial Sensor Location for Ground Reaction Force and Gait Event Detection Using Reservoir Computing in Gait. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3120. [PMID: 36833815 PMCID: PMC9962509 DOI: 10.3390/ijerph20043120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Inertial measurement units (IMUs) have shown promising outcomes for estimating gait event detection (GED) and ground reaction force (GRF). This study aims to determine the best sensor location for GED and GRF prediction in gait using data from IMUs for healthy and medial knee osteoarthritis (MKOA) individuals. In this study, 27 healthy and 18 MKOA individuals participated. Participants walked at different speeds on an instrumented treadmill. Five synchronized IMUs (Physilog®, 200 Hz) were placed on the lower limb (top of the shoe, heel, above medial malleolus, middle and front of tibia, and on medial of shank close to knee joint). To predict GRF and GED, an artificial neural network known as reservoir computing was trained using combinations of acceleration signals retrieved from each IMU. For GRF prediction, the best sensor location was top of the shoe for 72.2% and 41.7% of individuals in the healthy and MKOA populations, respectively, based on the minimum value of the mean absolute error (MAE). For GED, the minimum MAE value for both groups was for middle and front of tibia, then top of the shoe. This study demonstrates that top of the shoe is the best sensor location for GED and GRF prediction.
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Affiliation(s)
- Sara Havashinezhadian
- Interdisciplinary Center for Research in Rehabilitation and Social Integration (CIRRIS), Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Laurent Chiasson-Poirier
- Department of Mechanical Engineering, Interdisciplinary Institute for Technological Innovation, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Julien Sylvestre
- Department of Mechanical Engineering, Interdisciplinary Institute for Technological Innovation, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Katia Turcot
- Interdisciplinary Center for Research in Rehabilitation and Social Integration (CIRRIS), Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec, QC G1V 0A6, Canada
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Uno Y, Ogasawara I, Konda S, Yoshida N, Otsuka N, Kikukawa Y, Tsujii A, Nakata K. Validity of Spatio-Temporal Gait Parameters in Healthy Young Adults Using a Motion-Sensor-Based Gait Analysis System (ORPHE ANALYTICS) during Walking and Running. SENSORS (BASEL, SWITZERLAND) 2022; 23:s23010331. [PMID: 36616928 PMCID: PMC9823871 DOI: 10.3390/s23010331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 05/25/2023]
Abstract
Motion sensors are widely used for gait analysis. The validity of commercial gait analysis systems is of great interest because calculating position/angle-level gait parameters potentially produces an error in the integration process of the motion sensor data; moreover, the validity of ORPHE ANALYTICS, a motion-sensor-based gait analysis system, has not yet been examined. We examined the validity of the gait parameters calculated using ORPHE ANALYTICS relative to those calculated using conventional optical motion capture. Nine young adults performed gait tasks on a treadmill at speeds of 2−12 km/h. The three-dimensional position data and acceleration and angular velocity data of the feet were collected. The gait parameters were calculated from motion sensor data using ORPHE ANALYTICS, and optical motion capture data. Intraclass correlation coefficients [ICC(2,1)] were calculated for relative validities. Eight items, namely, stride duration, stride length, stride frequency, stride speed, vertical height, stance phase duration, swing phase duration, and sagittal angleIC exhibited excellent relative validities [ICC(2,1) > 0.9]. In contrast, sagittal angleTO and frontal angleIC demonstrated good [ICC(2,1) = 0.892−0.833] and moderate relative validity [ICC(2,1) = 0.566−0.627], respectively. ORPHE ANALYTICS was found to exhibit excellent relative validities for most gait parameters. These results suggest its feasibility for gait analysis outside the laboratory setting.
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Affiliation(s)
- Yuki Uno
- Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
- ORPHE Inc., Shibuya 151-0053, Tokyo, Japan
| | - Issei Ogasawara
- Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
- Department of Sports Medical Biomechanics, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
| | - Shoji Konda
- Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
- Department of Sports Medical Biomechanics, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
| | - Natsuki Yoshida
- Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
| | | | | | - Akira Tsujii
- Department of Sports Medical Biomechanics, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
| | - Ken Nakata
- Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 565-0871, Osaka, Japan
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9
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Zeng Z, Liu Y, Hu X, Tang M, Wang L. Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis. SPORTS MEDICINE - OPEN 2022; 8:86. [PMID: 35759130 PMCID: PMC9237201 DOI: 10.1186/s40798-022-00477-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/11/2022] [Indexed: 11/13/2022]
Abstract
Background Inertial measurement units (IMUs) are useful in monitoring running and alerting running-related injuries in various sports settings. However, the quantitative summaries of the validity and reliability of the measurements from IMUs during running are still lacking. The purpose of this review was to investigate the concurrent validity and test–retest reliability of IMUs for measuring gait spatiotemporal outcomes and lower extremity kinematics of health adults during running. Methods PubMed, CINAHL, Embase, Scopus and Web of Science electronic databases were searched from inception until September 2021. The inclusion criteria were as follows: (1) evaluated the validity or reliability of measurements from IMUs, (2) measured specific kinematic outcomes, (3) compared measurements using IMUs with those obtained using reference systems, (4) collected data during running, (5) assessed human beings and (6) were published in English. Eligible articles were reviewed using a modified quality assessment. A meta-analysis was performed to assess the pooled correlation coefficients of validity and reliability. Results Twenty-five articles were included in the systematic review, and data from 12 were pooled for meta-analysis. The methodological quality of studies ranged from low to moderate. Concurrent validity is excellent for stride length (intraclass correlation coefficient (ICC) (95% confidence interval (CI)) = 0.937 (0.859, 0.972), p < 0.001), step frequency (ICC (95% CI) = 0.926 (0.896, 0.948), r (95% CI) = 0.989 (0.957, 0.997), p < 0.001) and ankle angle in the sagittal plane (r (95% CI) = 0.939 (0.544, 0.993), p = 0.002), moderate to excellent for stance time (ICC (95% CI) = 0.664 (0.354, 0.845), r (95% CI) = 0.811 (0.701, 0.881), p < 0.001) and good for running speed (ICC (95% CI) = 0.848 (0.523, 0.958), p = 0.0003). The summary Fisher's Z value of flight time was not statistically significant (p = 0.13). Similarly, the stance time showed excellent test–retest reliability (ICC (95% CI) = 0.954 (0.903, 0.978), p < 0.001) and step frequency showed good test–retest reliability (ICC (95% CI) = 0.896 (0.837, 0.933), p < 0.001). Conclusions Findings in the current review support IMUs measurement of running gait spatiotemporal parameters, but IMUs measurement of running kinematics on lower extremity joints needs to be reported with caution in healthy adults. Trial Registration: PROSPERO Registration Number: CRD42021279395. Supplementary Information The online version contains supplementary material available at 10.1186/s40798-022-00477-0.
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Bach MM, Dominici N, Daffertshofer A. Predicting vertical ground reaction forces from 3D accelerometry using reservoir computers leads to accurate gait event detection. Front Sports Act Living 2022; 4:1037438. [PMID: 36385782 PMCID: PMC9644164 DOI: 10.3389/fspor.2022.1037438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
Accelerometers are low-cost measurement devices that can readily be used outside the lab. However, determining isolated gait events from accelerometer signals, especially foot-off events during running, is an open problem. We outline a two-step approach where machine learning serves to predict vertical ground reaction forces from accelerometer signals, followed by force-based event detection. We collected shank accelerometer signals and ground reaction forces from 21 adults during comfortable walking and running on an instrumented treadmill. We trained one common reservoir computer using segmented data using both walking and running data. Despite being trained on just a small number of strides, this reservoir computer predicted vertical ground reaction forces in continuous gait with high quality. The subsequent foot contact and foot off event detection proved highly accurate when compared to the gold standard based on co-registered ground reaction forces. Our proof-of-concept illustrates the capacity of combining accelerometry with machine learning for detecting isolated gait events irrespective of mode of locomotion.
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Harnett K, Plint B, Chan KY, Clark B, Netto K, Davey P, Müller S, Rosalie S. Validating an inertial measurement unit for cricket fast bowling: a first step in assessing the feasibility of diagnosing back injury risk in cricket fast bowlers during a tele-sport-and-exercise medicine consultation. PeerJ 2022; 10:e13228. [PMID: 35415020 PMCID: PMC8995020 DOI: 10.7717/peerj.13228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/15/2022] [Indexed: 01/12/2023] Open
Abstract
This study aimed to validate an array-based inertial measurement unit to measure cricket fast bowling kinematics as a first step in assessing feasibility for tele-sport-and-exercise medicine. We concurrently captured shoulder girdle relative to the pelvis, trunk lateral flexion, and knee flexion angles at front foot contact of eight cricket medium-fast bowlers using inertial measurement unit and optical motion capture. We used one sample t-tests and 95% limits of agreement (LOA) to determine the mean difference between the two systems and Smallest Worth-while Change statistic to determine whether any differences were meaningful. A statistically significant (p < 0.001) but small mean difference of -4.7° ± 8.6° (95% Confidence Interval (CI) [-3.1° to -6.4°], LOA [-22.2 to 12.7], SWC 3.9°) in shoulder girdle relative to the pelvis angle was found between the systems. There were no statistically significant differences between the two systems in trunk lateral flexion and knee flexion with the mean differences being 0.1° ± 10.8° (95% CI [-1.9° to 2.2°], LOA [-22.5 to 22.7], SWC 1.2°) and 1.6° ± 10.1° (95% CI [-0.2° to 3.3°], LOA [-19.2 to 22.3], SWC 1.9°) respectively. The inertial measurement unit-based system tested allows for accurate measurement of specific cricket fast bowling kinematics and could be used in determining injury risk in the context of tele-sport-and-exercise-medicine.
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Affiliation(s)
- Keegan Harnett
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Brenda Plint
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Ka Yan Chan
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Benjamin Clark
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Kevin Netto
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia,Curtin enAble Institute, Curtin University, Perth, Western Australia, Australia
| | - Paul Davey
- Curtin School of Nursing, Curtin University, Perth, Western Australia, Australia
| | - Sean Müller
- School of Science, Psychology and Sport, Federation University, Ballarat, Victoria, Australia
| | - Simon Rosalie
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
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Benson LC, Räisänen AM, Clermont CA, Ferber R. Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis. SENSORS 2022; 22:s22051722. [PMID: 35270869 PMCID: PMC8915128 DOI: 10.3390/s22051722] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 01/19/2023]
Abstract
Inertial measurement units (IMUs) can be used to monitor running biomechanics in real-world settings, but IMUs are often used within a laboratory. The purpose of this scoping review was to describe how IMUs are used to record running biomechanics in both laboratory and real-world conditions. We included peer-reviewed journal articles that used IMUs to assess gait quality during running. We extracted data on running conditions (indoor/outdoor, surface, speed, and distance), device type and location, metrics, participants, and purpose and study design. A total of 231 studies were included. Most (72%) studies were conducted indoors; and in 67% of all studies, the analyzed distance was only one step or stride or <200 m. The most common device type and location combination was a triaxial accelerometer on the shank (18% of device and location combinations). The most common analyzed metric was vertical/axial magnitude, which was reported in 64% of all studies. Most studies (56%) included recreational runners. For the past 20 years, studies using IMUs to record running biomechanics have mainly been conducted indoors, on a treadmill, at prescribed speeds, and over small distances. We suggest that future studies should move out of the lab to less controlled and more real-world environments.
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Affiliation(s)
- Lauren C. Benson
- Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada; (A.M.R.); (C.A.C.); (R.F.)
- Tonal Strength Institute, Tonal, San Francisco, CA 94107, USA
- Correspondence:
| | - Anu M. Räisänen
- Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada; (A.M.R.); (C.A.C.); (R.F.)
- Department of Physical Therapy Education, College of Health Sciences—Northwest, Western University of Health Sciences, Lebanon, OR 97355, USA
| | - Christian A. Clermont
- Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada; (A.M.R.); (C.A.C.); (R.F.)
- Sport Product Testing, Canadian Sport Institute Calgary, Calgary, AB T3B 6B7, Canada
| | - Reed Ferber
- Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada; (A.M.R.); (C.A.C.); (R.F.)
- Cumming School of Medicine, Faculty of Nursing, University of Calgary, Calgary, AB T2N 1N4, Canada
- Running Injury Clinic, Calgary, AB T2N 1N4, Canada
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van den Tillaar R, Nagahara R, Gleadhill S, Jiménez-Reyes P. Step-to-Step Kinematic Validation between an Inertial Measurement Unit (IMU) 3D System, a Combined Laser+IMU System and Force Plates during a 50 M Sprint in a Cohort of Sprinters. SENSORS 2021; 21:s21196560. [PMID: 34640882 PMCID: PMC8512743 DOI: 10.3390/s21196560] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 11/24/2022]
Abstract
The purpose was to compare step-by-step kinematics measured using force plates (criterion), an IMU only and a combined laser IMU system in well-trained sprinters. Fourteen male experienced sprinters performed a 50-m sprint. Step-by-step kinematics were measured by 50 force plates and compared with an IMU-3D motion capture system and a combined laser+IMU system attached to each foot. Results showed that step kinematics (step velocity, length, contact and flight times) were different when measured with the IMU-3D system, compared with force plates, while the laser+IMU system, showed in general the same kinematics as measured with force plates without a systematic bias. Based upon the findings it can be concluded that the laser+IMU system is as accurate in measuring step-by-step kinematics as the force plate system. At the moment, the IMU-3D system is only accurate in measuring stride patterns (temporal parameters); it is not accurate enough to measure step lengths (spatial) and velocities due to the inaccuracies in step length, especially at high velocities. It is suggested that this laser+IMU system is valid and accurate, which can be used easily in training and competition to obtain step-by step kinematics and give direct feedback of this information during training and competition.
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Affiliation(s)
| | - Ryu Nagahara
- National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Kagoshima, Japan; (R.N.); (S.G.)
| | - Sam Gleadhill
- National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Kagoshima, Japan; (R.N.); (S.G.)
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