A Rapid Review on the Effectiveness and Use of Wearable Biofeedback Motion Capture Systems in Ergonomics to Mitigate Adverse Postures and Movements of the Upper Body

Sensors, Год журнала: 2024, Номер 24(11), С. 3345 - 3345

Опубликована: Май 23, 2024

Work-related diseases and disorders remain a significant global health concern, necessitating multifaceted measures for mitigation. One potential measure is work technique training utilizing augmented feedback through wearable motion capture systems. However, there exists research gap regarding its current effectiveness in both real environments controlled settings, as well ability to reduce postural exposure retention effects over short, medium, long durations. A rapid review was conducted, two databases three previous literature reviews identify relevant studies published within the last twenty years, including recent up end of 2023. Sixteen met inclusion criteria, which 14 were high or moderate quality. These summarized descriptively, strength evidence assessed. Among included studies, six rated quality, while eight considered Notably, reporting participation rates, blinding assessors, a-priori power calculations infrequently performed. Four conducted environments, ten settings. Vibration most common type utilized (n = 9), followed by auditory 7) visual 1). All employed corrective initiated system. In from systems ranged strong no evidence, depending on time elapsed after administration. Conversely, very limited evidence. Future reach needs are identified discussed.

Язык: Английский

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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports

PLoS ONE, Год журнала: 2025, Номер 20(2), С. e0317414 - e0317414

Опубликована: Фев. 13, 2025

This study aims to solve the problems of insufficient accuracy and low efficiency existing methods in sprint pattern recognition optimize training competition strategies athletes. Firstly, data collected this come from high-precision sensors computer simulation, involving key biomechanical parameters sprint, such as step frequency, stride length acceleration. The dataset covers multiple tests athletes, ensuring diversity samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. It combines advantages Random Forest (RF) Gradient Boosting Tree (GBT), improves model by adaptively adjusting hyperparameter structure. Specifically, introducing adaptive feature selection ensemble methods, effectively ability for different athletes sports states, thus reducing over-fitting phenomenon improving generalization ability. In process training, cross-validation grid search optimization are adopted ensure reasonable super parameters. Moreover, superiority verified comparing with commonly used algorithms Support Vector Machine (SVM) Convolutional Neural Network (CNN). rate test set 94.9%, which higher than that SVM (87.0%) CNN (92.0%). addition, performs well computational efficiency. However, comes simulation environment, may deviate real game data. Future research can verify through more actual

Язык: Английский

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The Role of Chair Design in Dental Ergonomics: A Kinematic Assessment of Movement and Ergonomic Risk

Bioengineering, Год журнала: 2025, Номер 12(4), С. 353 - 353

Опубликована: Март 29, 2025

Introduction: Dental professionals are susceptible to musculoskeletal disorders due unphysiological postures during treatment, which can be mitigated by the choice of a work chair improve ergonomic working posture. Methods: In this study, influence five different chairs on risk assessment using RULA and behaviour 22 right-handed dentists was investigated. To end, dental treatment simulated phantom head, with body posture recorded an inertial motion capture system. The resulting kinematic data were converted into continuous scheme, statistical methods (Friedman test Conover–Iman comparisons parametric mapping) used compare chairs. significance level set at p ≤ 0.05. Results: analysis revealed no significant differences between task that tested; however, it should noted all exhibited increased (RULA ≥ 5), indicates disorders. Significant multiple (SPM analysis) selected relative occurrence total joint angles Chair 1 vs. 5 (p 0.03 for shoulder left flexion–extension), 2 4 right 3 trunk flexion–extension, 0.04 lateral flexion 0.05 elbow flexion–extension 0.01 flexion–extension). Discussion: study’s findings indicate selection did not have impact risk, remained consistently high across Nevertheless, demonstrated Ghopec more frequently associated greater angles, only few deviations. However, these in occurred sporadically, demonstrate clear consistent trend chairs, clinical impact. Overall, results confirm has potential developing disorders, while design plays rather subordinate role.

Язык: Английский

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Effects of IMU sensor-to-segment calibration on clinical 3D elbow joint angles estimation

Frontiers in Bioengineering and Biotechnology, Год журнала: 2024, Номер 12

Опубликована: Май 17, 2024

Introduction: Inertial Measurement Units (IMU) require a sensor-to-segment calibration procedure in order to compute anatomically accurate joint angles and, thereby, be employed healthcare and rehabilitation. Research literature proposes several algorithms address this issue. However, determining an optimal is challenging due the large number of variables that affect elbow angle accuracy, including 3D axis, movement performed, complex anatomy, notable skin artefacts. Therefore, paper aims compare three types techniques against optical motion capture reference system during tasks provide recommendations on most suitable for joint. Methods: Thirteen healthy subjects were instrumented with IMU sensors marker clusters. Each participant performed series static poses movements calibrate instruments subsequently, single-plane multi-joint tasks. The metrics used evaluate accuracy are Range Motion (ROM) error, Root Mean Squared Error (RMSE), offset. We three-way RM ANOVA effect axis task techniques: N-Pose (NP), Functional Calibration (FC) Manual Alignment (MA). Results: Despite small sizes ROM Error, NP displayed least precision among calibrations interquartile ranges as 24.6°. RMSE showed significant differences size where MA best (RMSE = 6.3°) was comparable FC 7.2°). Offset calibration*axes interaction similarly. Conclusion: we recommend preferred method its simplicity ease use. Alternatively, can valid option when wearer unable hold predetermined posture.

Язык: Английский

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A Real-Time Muscle Fatigue Detection System Based on Multifrequency EIM and sEMG for Effective NMES

IEEE Sensors Journal, Год журнала: 2024, Номер 24(14), С. 22553 - 22564

Опубликована: Июнь 11, 2024

Neuromuscular electrical stimulation (NMES) is a self-directed homebased therapeutic tool in early rehabilitation for musculoskeletal (MSK) conditions.However, the effectiveness of traditional NMES fundamentally constrained by muscle fatigue.To address this limitation, work proposes detection system, which simultaneously records multifrequency impedance myography (EIM) and surface electromyography (sEMG) real time time-frequency analysis activation, contraction, demonstrate ability to monitor these physiological states, two experiments involving weightless weighted dynamic contractions biceps brachii were performed.Results from show synchronous changes sEMG EIM spectra during contractions, clear trends sEMG's mean power frequency (MPF) with fatigue progression.Additionally, configurable 4-channel has been electrically evaluated clinical use, demonstrating feasibility proposed system closed-loop stimulation.This showcases potential multi-frequency enhance MSK conditions capturing behavior distinct mechanisms fatigue.

Язык: Английский

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Effectiveness of Sensors-Based Augmented Feedback in Ergonomics to Reduce Adverse Biomechanical Exposure in Work-Related Manual Handling – A Rapid Review of the Evidence

Опубликована: Авг. 21, 2024

Manual handling is a major risk factor for work-related musculoskeletal disorders and one of the leading causes disability-adjusted life years globally, necessitating multifaceted reduction measures. One potential intervention manual tasks work technique training assisted by augmented feedback on biomechanical exposures. However, there research gap regarding its effectiveness specifically in both real environments controlled settings, as well ability to induce retained reductions exposure. The was investigated using rapid review comprising literature search two databases 11 reviews/overviews identify studies from past 20 years, up published June 1, 2024. Sixteen were identified, with 14 them being high or moderate methodological quality included. Three conducted eleven settings. Most (n = 9) used auditory feedback, followed vibration 6). In environments, evidence sensor-based reducing exposure during administration considered be inconsistent very limited directly after administration. For longer periods administration, ranging week more than six months, currently no demonstrating feedback. strong immediately months post-administration when considering included training. Future needs are discussed.

Язык: Английский

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Assessment of active back-support exoskeleton for carpentry task: muscle activity and range of motion

Journal of Engineering Design and Technology, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 27, 2024

Purpose This study aims to investigate the impact of active back-support exoskeletons on muscle activity and range motion during carpentry tasks, focusing addressing back disorders in construction sector. The purpose is understand how can serve as ergonomic solutions industry. Design/methodology/approach Sixteen participants engaged simulated framing tasks under “no-exoskeleton” “active-exoskeleton”. measured such measuring, assembly, moving, lifting, installing nailing. experimental design was chosen assess effectiveness exoskeleton different scenarios. Findings results indicate that reduced back’s by 3%–26% various suggesting its movement limitations. Additionally, led most muscles, with task-specific variations. There an increase 1–35%, measuring assembly revealing nuanced effects. Research limitations/implications findings may be task-specific, however, absence a consistent correlation between suggests potential complexities warrant further investigation. Originality/value research contributes understanding construction, emphasizing designs are crucial for unique work requirements. provides valuable data diverse effects tasks.

Язык: Английский

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Preliminary Evaluation of New Wearable Sensors to Study Incongruous Postures Held by Employees in Viticulture

Sensors, Год журнала: 2024, Номер 24(17), С. 5703 - 5703

Опубликована: Сен. 2, 2024

Musculoskeletal Disorders (MSDs) stand as a prominent cause of injuries in modern agriculture. Scientific research has highlighted causal link between MSDs and awkward working postures. Several methods for the evaluation postures, related risks, have been developed such Rapid Upper Limb Assessment (RULA). Nevertheless, these are generally applied with manual measurements on pictures or videos. As consequence, their applicability could be scarce, effectiveness limited. The use wearable sensors to collect kinetic data facilitate risk assessment. existing system may not usable agricultural vine sectors because its cost, robustness versatility various anthropometric characteristics workers. aim this study was develop technology capable collecting accurate about uncomfortable postures repetitive movements typical Specific objectives project were development low-cost, robust, device, which measure wrist angles workers’ hand positions during possible viticultural operations. Furthermore, meant test evaluate incongruous pruning operations vineyard. sensor had 3-axis accelerometers gyroscope, it monitor hand–wrist–forearm musculoskeletal when moving. When real case, vines, permitted simulated sequence quantification levels induced by type activity.

Язык: Английский

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Multi-Electrode EMG Spatial-Filter Implementation Based on Current Conveyors

Electronics, Год журнала: 2024, Номер 13(9), С. 1735 - 1735

Опубликована: Май 1, 2024

In this work, a circuit topology for the implementation of multi-electrode superficial electromyography (EMG) front-end is presented based on type II current conveyor (CCII). The provides feasible way to implement an amplifier capable measuring several electrode locations and obtaining signal interest posterior acquisition. particular, five-electrode normal double differential (NDD) EMG spatial filter demonstrated. modes necessary analysis are derived, respective rejection ratios obtained, noise characteristic calculated. A board-level implemented as proof concept, achieving gain equal 28 dB, bandwidth 17 Hz 578 Hz, voltage linked input 3.7 μVrms common-mode ratio higher than 95 dB at interference frequencies. was validated after using it active in experimental measurements with NDD dry-contact flexible printed board.

Язык: Английский

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NLP-based ergonomics MSD risk root cause analysis and risk controls recommendation

Ergonomics, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Авг. 27, 2024

An ergonomics assessment of the physical risk factors in workplace is instrumental predicting and preventing musculoskeletal disorders (MSDs). Using Artificial Intelligence (AI) has become increasingly popular for assessments because time savings improved accuracy. However, most effort this area starts ends with producing scores, without providing guidance to reduce risk. This paper proposes a holistic job improvement process that performs automatic root cause analysis control recommendations reducing MSD We apply deep learning-based Natural Language Processing (NLP) techniques such as Part Speech (PoS) tagging dependency parsing on textual descriptions actions performed (e.g. pushing) along object cart) being acted upon. The action-object inferences provide entry point an expert-based Machine Learning (ML) system automatically identifies targeted work-related causes cart movement forces are too high, due caster size small) identified excessive shoulder forces). proposed framework utilises recommend strategies larger diameter casters, minimum 8" or 203 mm) likely mitigate risk, resulting more efficient effective process.

Язык: Английский

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