AIMC Topic: Ergonomics

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Localized Muscular Fatigue in Robotic-Assisted Laparoscopic Surgery: Predictive Modeling Study.

JMIR formative research
BACKGROUND: Robotic-assisted surgery (RAS) has grown rapidly in recent decades, and several RAS procedures have become the standard. However, the physical and mental demands of minimally invasive surgery (MIS) techniques can lead to ergonomic shortco...

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis.

JMIR human factors
BACKGROUND: Primary care providers (PCPs) face significant burnout due to increasing administrative and documentation demands, contributing to job dissatisfaction and impacting care quality. Artificial intelligence (AI) scribes have emerged as potent...

Posture prediction models in digital human modeling for ergonomic design: A systematic review.

Medical engineering & physics
Posture prediction models have been widely used to support ergonomic design. This systematic review critically assessed the development, validation, and applications of posture prediction models in Digital Human Modeling (DHM). Following PRISMA guide...

Evaluating the impacts of network latency, haptics, and ergonomics in a Haptically-Enabled Robot for Teleoperated Echocardiography.

Computers in biology and medicine
BACKGROUND: Access to echocardiography in remote and rural areas is limited due to a shortage of trained sonographers and the difficulties of accessing isolated regions. A Haptically-Enabled Robot for Teleoperated Echocardiography (HERTEC) was develo...

ErgoReport: A Holistic Posture Assessment Framework Based on Inertial Data and Deep Learning.

Sensors (Basel, Switzerland)
Awkward postures are a significant contributor to work-related musculoskeletal disorders (WRMSDs), which represent great social and economic burdens. Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk b...

Human activity recognition algorithms for manual material handling activities.

Scientific reports
Human Activity Recognition (HAR) using wearable sensors has prompted substantial interest in recent years due to the availability and low cost of Inertial Measurement Units (IMUs). HAR using IMUs can aid both the ergonomic evaluation of the performed...

Machine learning-enhanced back muscle strength prediction considering lifting condition and individual characteristics.

International journal of occupational safety and ergonomics : JOSE
This study investigated factors influencing back muscle strength, focusing on sex, forearm posture and lifting height. Lower back pain, prevalent in industries involving manual materials handling, is closely linked to back muscle strength. The study ...

Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.

Biosensors
Repetitive lifting tasks in occupational settings often result in shoulder injuries, impacting both health and productivity. Accurately assessing the biomechanical risk of these tasks remains a significant challenge in occupational ergonomics, partic...

Exploring Human-AI Dynamics in Enhancing Workplace Health and Safety: A Narrative Review.

International journal of environmental research and public health
BACKGROUND: Artificial intelligence (AI) is revolutionizing occupational health and safety (OHS) by addressing workplace hazards and enhancing employee well-being. This review explores the broader context of increasing automation and digitalization, ...

A fuzzy logic approach to improve the sensitivity of the rapid entire body assessment method.

International journal of occupational safety and ergonomics : JOSE
Conventional ergonomic observation methods, such as rapid entire body assessment (REBA), are limited in their sensitivity and reliability, particularly in detecting changes in input variables. This study integrates fuzzy logic with the REBA method, u...