Performance Evaluation of Rapid Entire Body Assessment Using AI-Assisted Ergonomic Analysis in Dentistry DOI Creative Commons
Benhar Arvind Manohar,

Jebakani Devaraj,

M. Chellapandian

и другие.

Biomimetics, Год журнала: 2025, Номер 10(4), С. 239 - 239

Опубликована: Апрель 13, 2025

This study seeks to automate the Rapid Entire Body Assessment (REBA) in dentistry with Artificial Intelligence (AI) technologies, notably MediaPipe, improve accuracy and obviate necessity for expert judgment. research utilizes time-synchronized videos averages across frames mitigate mistakes resulting from visual occlusion over- or underestimation, respectively. The REBA scores of observed dentists were evaluated compared conventional single image-based method. Among dentists, 83% are at high risk, other 17% very requiring solutions lower their prevent musculoskeletal disorders (MSDs). individual point profiles differed, necessitating a collective through response surface methodology (RSM) utilizing Design Expert software. RSM model exhibited substantial results, as indicated by R2 = 0.9055 p < 0.0001 values. A linear regression equation was established, contour graphs depicted relative variation points. optimized score profile establishes maximum attainable threshold directing them towards scores. streamlined functions design restriction creating ergonomic dental practice.

Язык: Английский

Effects of 24-weeks in-field use of a back-supporting exoskeleton on biomechanics, work intensity and musculoskeletal discomfort: A randomized controlled trial among logistic workers DOI Creative Commons
Lasse Schrøder Jakobsen, Afshin Samani, Kévin Desbrosses

и другие.

Applied Ergonomics, Год журнала: 2025, Номер 125, С. 104469 - 104469

Опубликована: Фев. 3, 2025

The trial investigated the impact of a back-supporting exoskeleton (BSE) on biomechanics, work intensity, and musculoskeletal discomfort among logistic-workers over 24-weeks in field-setting. Twenty workers were randomized into intervention control groups, performing daily order-picking with without BSE, respectively. Effects muscles activity kinematics measured during standardized tasks before after period, while intensity rated throughout period. results indicated significant reductions back muscle lifting BSE assistance 24-weeks. Although three users stopped using remaining progressively increased their use associated an overall decrease perceived suggests that effect remains constant 24-weeks, opposite what was hypothesized based previous research training.

Язык: Английский

Процитировано

1

Recursive PID-NT Estimation-Based Second-Order SMC Strategy for Knee Exoskeleton Robots: A Focus on Uncertainty Mitigation DOI Open Access
Vahid Behnamgol,

Mehrnoosh Asadi,

Sumeet S. Aphale

и другие.

Electronics, Год журнала: 2025, Номер 14(7), С. 1455 - 1455

Опубликована: Апрель 3, 2025

This study introduces a modified second-order super-twisting sliding mode control algorithm designed to enhance the precision and robustness of knee exoskeleton robots by incorporating advanced uncertainty mitigation techniques. The key contribution this research is development an efficient estimation mechanism capable accurately identifying model parameter uncertainties patients’ unwanted action torques disturbance within finite time horizon, thereby improving overall system performance. proposed framework ensures smooth precise signal dynamics while effectively suppressing chattering effects, common drawback in conventional methodologies. theoretical foundation rigorously established through formulation PID non-singular terminal variable, which stability phase comprehensive Lyapunov-based analysis assuming that upper bound its derivative are known reaching phase, collectively guarantee system’s reliability. Through simulations, efficacy evaluated ability track diverse desired angles, demonstrate against disturbances, such as those caused patient’s foot reaction, handle 20% parameters. Additionally, effectiveness assessed three individuals with varying Notably, controller gains remain consistent across all scenarios. constitutes significant advancement domain control, offering more reliable methodology for addressing uncertainties.

Язык: Английский

Процитировано

0

Performance Evaluation of Rapid Entire Body Assessment Using AI-Assisted Ergonomic Analysis in Dentistry DOI Creative Commons
Benhar Arvind Manohar,

Jebakani Devaraj,

M. Chellapandian

и другие.

Biomimetics, Год журнала: 2025, Номер 10(4), С. 239 - 239

Опубликована: Апрель 13, 2025

This study seeks to automate the Rapid Entire Body Assessment (REBA) in dentistry with Artificial Intelligence (AI) technologies, notably MediaPipe, improve accuracy and obviate necessity for expert judgment. research utilizes time-synchronized videos averages across frames mitigate mistakes resulting from visual occlusion over- or underestimation, respectively. The REBA scores of observed dentists were evaluated compared conventional single image-based method. Among dentists, 83% are at high risk, other 17% very requiring solutions lower their prevent musculoskeletal disorders (MSDs). individual point profiles differed, necessitating a collective through response surface methodology (RSM) utilizing Design Expert software. RSM model exhibited substantial results, as indicated by R2 = 0.9055 p < 0.0001 values. A linear regression equation was established, contour graphs depicted relative variation points. optimized score profile establishes maximum attainable threshold directing them towards scores. streamlined functions design restriction creating ergonomic dental practice.

Язык: Английский

Процитировано

0