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Article ; Online: Regression-Based Machine Learning for Predicting Lifting Movement Pattern Change in People with Low Back Pain.

Phan, Trung C / Pranata, Adrian / Farragher, Joshua / Bryant, Adam / Nguyen, Hung T / Chai, Rifai

2024 Volume 24, Issue 4

Abstract: Machine learning (ML) algorithms are crucial within the realm of healthcare applications. However, a comprehensive assessment of the effectiveness of regression algorithms in predicting alterations in lifting movement patterns has not been conducted. ... ...

Abstract	Machine learning (ML) algorithms are crucial within the realm of healthcare applications. However, a comprehensive assessment of the effectiveness of regression algorithms in predicting alterations in lifting movement patterns has not been conducted. This research represents a pilot investigation using regression-based machine learning techniques to forecast alterations in trunk, hip, and knee movements subsequent to a 12-week strength training for people who have low back pain (LBP). The system uses a feature extraction algorithm to calculate the range of motion in the sagittal plane for the knee, trunk, and hip and 12 different regression machine learning algorithms. The results show that Ensemble Tree with LSBoost demonstrated the utmost accuracy in prognosticating trunk movement. Meanwhile, the Ensemble Tree approach, specifically LSBoost, exhibited the highest predictive precision for hip movement. The Gaussian regression with the kernel chosen as exponential returned the highest prediction accuracy for knee movement. These regression models hold the potential to significantly enhance the precision of visualisation of the treatment output for individuals afflicted with LBP.
MeSH term(s)	Humans ; Low Back Pain/therapy ; Lifting ; Knee ; Movement ; Machine Learning ; Biomechanical Phenomena
Language	English
Publishing date	2024-02-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24041337
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Article ; Online: Investigating the effects of synbiotic supplementation on functional movement, strength and muscle health in older Australians: a study protocol for a double-blind, randomized, placebo-controlled trial.

Barry, David J / Farragher, Joshua B / Betik, Andrew C / Fyfe, Jackson J / Convit, Lilia / Cooke, Matthew B

Trials

2024 Volume 25, Issue 1, Page(s) 307

Abstract: Background: Aging has been associated with a progressive loss of skeletal muscle quality, quantity and strength, which may result in a condition known as sarcopenia, leading to a decline in physical performance, loss of independence and reduced quality ... ...

Abstract	Background: Aging has been associated with a progressive loss of skeletal muscle quality, quantity and strength, which may result in a condition known as sarcopenia, leading to a decline in physical performance, loss of independence and reduced quality of life. While the cause of impaired physical functioning observed in elderly populations appears to be multifactorial, recent evidence suggests that age-associated alterations in gut microbiota could be a contributing factor. The primary objective will be to assess the effects of a dietary synbiotic formulation on sarcopenia-related functional outcomes such as handgrip strength, gait speed and physical performance within older individuals living independently. The secondary objective will be to examine associations between changes in gut microbiota composition, functional performance and lean muscle mass. Methods: Seventy-four elderly (60-85 years) participants will be randomized in a double-blind, placebo-controlled fashion to either an intervention or control group. The intervention group (n = 37) will receive oral synbiotic formulation daily for 16 weeks. The control group (n = 37) will receive placebo. Assessments of physical performance (including Short Physical Performance Battery, handgrip strength and timed up-and-go tests) and muscle ultrasonography will be performed at 4 time points (baseline and weeks 8, 16 and 20). Likewise, body composition via bioelectric impedance analysis and blood and stool samples will be collected at each time point. Dual-energy X-ray absorptiometry will be performed at baseline and week 16. The primary outcomes will be between-group changes in physical performance from baseline to 16 weeks. Secondary outcomes include changes in body composition, muscle mass and architecture, fecal microbiota composition and diversity, and fecal and plasma metabolomics. Discussion: Gut-modulating supplements appear to be effective in modifying gut microbiota composition in healthy older adults. However, it is unclear whether these changes translate into functional and/or health improvements. In the present study, we will investigate the effects of a synbiotic formulation on measures of physical performance, strength and muscle health in healthy older populations. Trial registration: This study was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000652774) in May 2022.
MeSH term(s)	Humans ; Double-Blind Method ; Aged ; Synbiotics/administration & dosage ; Aged, 80 and over ; Sarcopenia/physiopathology ; Sarcopenia/prevention & control ; Male ; Middle Aged ; Female ; Muscle, Skeletal ; Hand Strength ; Gastrointestinal Microbiome ; Muscle Strength ; Randomized Controlled Trials as Topic ; Australia ; Physical Functional Performance ; Dietary Supplements ; Body Composition ; Treatment Outcome ; Walking Speed ; Australasian People
Language	English
Publishing date	2024-05-07
Publishing country	England
Document type	Journal Article ; Clinical Trial Protocol
ZDB-ID	2040523-6
ISSN	1745-6215 ; 1468-6694 ; 1745-6215
ISSN (online)	1745-6215
ISSN	1468-6694 ; 1745-6215
DOI	10.1186/s13063-024-08130-9
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Article ; Online: Machine Learning Derived Lifting Technique in People without Low Back Pain.

Phan, Trung C / Pranata, Adrian / Farragher, Joshua B / Bryant, Adam L / Nguyen, Hung T / Chai, Rifai

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2023 Volume 2023, Page(s) 1–4

Abstract: This paper presents a method for determining the number of lifting techniques used by healthy individuals through the analysis of kinematic data collected from 115 participants utilizing an motion capture system. The technique utilizes a combination of ... ...

Abstract	This paper presents a method for determining the number of lifting techniques used by healthy individuals through the analysis of kinematic data collected from 115 participants utilizing an motion capture system. The technique utilizes a combination of feature extraction and Ward's method to analyse the range of motion in the sagittal plane of the knee, hip, and trunk. The findings identified five unique lifting techniques in people without low back pain. The multivariate analysis of variance statistical analysis reveals a significant difference in the range of motion in the trunk, hip and knee between each cluster for healthy people (F (12, 646) = 125.720, p < 0.0001).Clinical Relevance- This information can assist healthcare professionals in choosing effective treatments and interventions for those with occupational lower back pain by focusing rehabilitation on specific body parts associated with problematic lifting techniques, such as the trunk, hip, or knee, which may lead to improved pain and disability outcomes, exemplifying precision medicine.
MeSH term(s)	Humans ; Knee ; Knee Joint ; Lifting ; Low Back Pain/diagnosis ; Low Back Pain/therapy ; Lower Extremity ; Machine Learning
Language	English
Publishing date	2023-12-12
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC40787.2023.10340260
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Article ; Online: Machine Learning Derived Lifting Techniques and Pain Self-Efficacy in People with Chronic Low Back Pain.

Phan, Trung C / Pranata, Adrian / Farragher, Joshua / Bryant, Adam / Nguyen, Hung T / Chai, Rifai

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 17

Abstract: This paper proposes an innovative methodology for finding how many lifting techniques people with chronic low back pain (CLBP) can demonstrate with camera data collected from 115 participants. The system employs a feature extraction algorithm to ... ...

Abstract	This paper proposes an innovative methodology for finding how many lifting techniques people with chronic low back pain (CLBP) can demonstrate with camera data collected from 115 participants. The system employs a feature extraction algorithm to calculate the knee, trunk and hip range of motion in the sagittal plane, Ward’s method, a combination of K-means and Ensemble clustering method for classification algorithm, and Bayesian neural network to validate the result of Ward’s method and the combination of K-means and Ensemble clustering method. The classification results and effect size show that Ward clustering is the optimal method where precision and recall percentages of all clusters are above 90, and the overall accuracy of the Bayesian Neural Network is 97.9%. The statistical analysis reported a significant difference in the range of motion of the knee, hip and trunk between each cluster, F (9, 1136) = 195.67, p < 0.0001. The results of this study suggest that there are four different lifting techniques in people with CLBP. Additionally, the results show that even though the clusters demonstrated similar pain levels, one of the clusters, which uses the least amount of trunk and the most knee movement, demonstrates the lowest pain self-efficacy.
MeSH term(s)	Bayes Theorem ; Biomechanical Phenomena ; Humans ; Lifting ; Low Back Pain ; Machine Learning ; Self Efficacy
Language	English
Publishing date	2022-09-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22176694
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Article ; Online: Impaired Lumbar Extensor Force Control Is Associated with Increased Lifting Knee Velocity in People with Chronic Low-Back Pain.

Pranata, Adrian / Farragher, Joshua / Perraton, Luke / El-Ansary, Doa / Clark, Ross / Meyer, Denny / Han, Jia / Mentiplay, Benjamin / Bryant, Adam L

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 21

Abstract: The ability of the lumbar extensor muscles to accurately control static and dynamic forces is important during daily activities such as lifting. Lumbar extensor force control is impaired in low-back pain patients and may therefore explain the variances ... ...

Abstract	The ability of the lumbar extensor muscles to accurately control static and dynamic forces is important during daily activities such as lifting. Lumbar extensor force control is impaired in low-back pain patients and may therefore explain the variances in lifting kinematics. Thirty-three chronic low-back pain participants were instructed to lift weight using a self-selected technique. Participants also performed an isometric lumbar extension task where they increased and decreased their lumbar extensor force output to match a variable target force within 20-50% lumbar extensor maximal voluntary contraction. Lifting trunk and lower limb range of motion and angular velocity variables derived from phase plane analysis in all planes were calculated. Lumbar extensor force control was analyzed by calculating the Root-Mean-Square Error (RMSE) between the participants' force and the target force during the increasing (RMSE
MeSH term(s)	Humans ; Lifting ; Knee ; Low Back Pain ; Knee Joint/physiology ; Lower Extremity ; Biomechanical Phenomena
Language	English
Publishing date	2023-10-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23218855
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Article ; Online: Neuromuscular Control and Resistance Training for People With Chronic Low Back Pain: A Randomized Controlled Trial.

Farragher, Joshua B / Pranata, Adrian / Williams, Gavin P / El-Ansary, Doa / Parry, Selina M / Clark, Ross A / Mentiplay, Benjamin / Kasza, Jessica / Crofts, Samuel / Bryant, Adam L

The Journal of orthopaedic and sports physical therapy

2024 Volume 54, Issue 5, Page(s) 1–10

Abstract: OBJECTIVE: ...

Abstract	OBJECTIVE:
MeSH term(s)	Humans ; Low Back Pain/rehabilitation ; Low Back Pain/therapy ; Low Back Pain/physiopathology ; Female ; Resistance Training/methods ; Male ; Middle Aged ; Chronic Pain/rehabilitation ; Chronic Pain/therapy ; Adult ; Disability Evaluation ; Pain Measurement ; Single-Blind Method ; COVID-19 ; Treatment Outcome
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	604640-x
ISSN	1938-1344 ; 0190-6011
ISSN (online)	1938-1344
ISSN	0190-6011
DOI	10.2519/jospt.2024.12349
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Article ; Online: Reliability of lumbar multifidus and iliocostalis lumborum thickness and echogenicity measurements using ultrasound imaging.

Farragher, Joshua / Pranata, Adrian / El-Ansary, Doa / Parry, Selina / Williams, Gavin / Royse, Colin / Royse, Alistair / O'Donohue, Molly / Bryant, Adam

Australasian journal of ultrasound in medicine

2021 Volume 24, Issue 3, Page(s) 151–160

Abstract: Purpose: To establish the test-retest and inter-rater reliability of lumbar multifidus (LM) and iliocostalis lumborum (IL) muscle thickness and echogenicity as derived using ultrasound imaging.: Methods: Ultrasound images of the LM and IL were ... ...

Abstract	Purpose: To establish the test-retest and inter-rater reliability of lumbar multifidus (LM) and iliocostalis lumborum (IL) muscle thickness and echogenicity as derived using ultrasound imaging. Methods: Ultrasound images of the LM and IL were collected from 11 healthy participants on two occasions, 1 week apart, by two independent assessors. Measures of LM and IL thickness and echogenicity were subject to test-retest and inter-rater reliability, which was assessed by calculation of an F statistic, the interclass correlation coefficient (ICC), the standard error of measurement, 95% confidence intervals and Bland-Altman plots. This study was given approval by The University of Melbourne Behavioural and Social Sciences Human Ethics Sub-Committee (ref: 1749845). Results: Assessors A and B showed good to excellent test-retest reliability for LM thickness (ICC Conclusions: Inter-rater and test-retest reliability was excellent for LM but was less reliable for measures of the IL muscle.
Language	English
Publishing date	2021-06-23
Publishing country	Australia
Document type	Journal Article
ZDB-ID	2843953-3
ISSN	2205-0140 ; 1836-6864
ISSN (online)	2205-0140
ISSN	1836-6864
DOI	10.1002/ajum.12273
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Article ; Online: Effects of lumbar extensor muscle strengthening and neuromuscular control retraining on disability in patients with chronic low back pain: a protocol for a randomised controlled trial.

Farragher, Joshua Brodie / Pranata, Adrian / Williams, Gavin / El-Ansary, Doa / Parry, Selina M / Kasza, Jessica / Bryant, Adam

BMJ open

2019 Volume 9, Issue 8, Page(s) e028259

Abstract: Introduction: Chronic low back pain (CLBP) is the leading cause of disability worldwide. However, there is no consensus in the literature regarding optimal management. Exercise intervention is the most widely used treatment as it likely influences ... ...

Abstract	Introduction: Chronic low back pain (CLBP) is the leading cause of disability worldwide. However, there is no consensus in the literature regarding optimal management. Exercise intervention is the most widely used treatment as it likely influences contributing factors such as physical and psychological. Literature evaluating the effects of exercise on CLBP is often generalised, non-specific and employs inconsistent outcome measures. Moreover, the mechanisms behind exercise-related improvements are poorly understood. Recently, research has emerged identifying associations between neuromuscular-biomechanical impairments and CLBP-related disability. This information can be used as the basis for more specific and, potentially more efficacious exercise interventions for CLBP patients. Methods and analysis: Ninety-four participants (including both males and females) with CLBP aged 18-65 who present for treatment to a Melbourne-based private physiotherapy practice will be recruited and randomised into one of two treatment groups. Following baseline assessment, participants will be randomly allocated to receive either: (i) strengthening exercises in combination with lumbar force accuracy training exercises or (ii) strengthening exercises alone. Participants will attend exercise sessions twice a week for 12 weeks, with assessments conducted at baseline, midway (ie, 6 weeks into the trial) and at trial completion. All exercise interventions will be supervised by a qualified physiotherapist trained in the intervention protocol. The primary outcome will be functional disability measured using the Oswestry Disability Index. Other psychosocial and mechanistic parameters will also be measured. Ethics and dissemination: This study was given approval by the University of Melbourne Behavioural and Social Sciences Human Ethics Sub-Committee on 8 August 2017, reference number 1 749 845. Results of the randomised controlled trial will be published in peer-reviewed journals. Trial registration number: ACTRN12618000894291.
MeSH term(s)	Adolescent ; Adult ; Female ; Humans ; Low Back Pain/therapy ; Male ; Middle Aged ; Muscle Strength ; Pain Measurement/methods ; Randomized Controlled Trials as Topic ; Resistance Training/methods ; Treatment Outcome ; Young Adult
Language	English
Publishing date	2019-08-19
Publishing country	England
Document type	Clinical Trial Protocol ; Journal Article
ZDB-ID	2599832-8
ISSN	2044-6055 ; 2044-6055
ISSN (online)	2044-6055
ISSN	2044-6055
DOI	10.1136/bmjopen-2018-028259
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Article ; Online: Architectural anatomy of the quadriceps and the relationship with muscle strength: An observational study utilising real-time ultrasound in healthy adults.

El-Ansary, Doa / Marshall, Charlotte J / Farragher, Joshua / Annoni, Raquel / Schwank, Ariane / McFarlane, James / Bryant, Adam / Han, Jia / Webster, Marilyn / Zito, Guy / Parry, Selina / Pranata, Adrian

Journal of anatomy

2021 Volume 239, Issue 4, Page(s) 847–855

Abstract: Quadriceps atrophy and morphological change is a known phenomenon that can impact significantly on strength and functional performance in patients with acute or chronic presentations conditions. Real-time ultrasound (RTUS) imaging is a noninvasive valid ... ...

Abstract	Quadriceps atrophy and morphological change is a known phenomenon that can impact significantly on strength and functional performance in patients with acute or chronic presentations conditions. Real-time ultrasound (RTUS) imaging is a noninvasive valid and reliable method of quantifying quadriceps muscle anatomy and architecture. To date, there is a paucity of normative data on the architectural properties of superficial and deep components of the quadriceps muscle group to inform assessment and evaluation of intervention programs. The aims of this study were to (1) quantify the anatomical architectural properties of the quadriceps muscle group (rectus femoris, vastus intermedius, and vastus lateralis) using RTUS in healthy older adults and (2) to determine the relationship between RTUS muscle parameters and measures of quadriceps muscle strength. Thirty middle aged to older males and females (age range 55-79 years; mean age =59.9 ± 7.08 years) were recruited. Quadriceps muscle thickness, cross-sectional area, pennation angle, and echogenicity were measured using RTUS. Quadriceps strength was measured using hand-held dynamometry. For the RTUS-derived quadriceps morphological data, rectus femoris mean results; circumference 9.3 cm; CSA 4.6 cm
MeSH term(s)	Aged ; Female ; Humans ; Male ; Middle Aged ; Muscle Strength ; Quadriceps Muscle/diagnostic imaging ; Ultrasonography
Language	English
Publishing date	2021-08-29
Publishing country	England
Document type	Journal Article ; Observational Study
ZDB-ID	2955-5
ISSN	1469-7580 ; 0021-8782
ISSN (online)	1469-7580
ISSN	0021-8782
DOI	10.1111/joa.13497
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