ReviewACS sensors2025
Advancing Occupational Medicine through Wearable Technology: A Review of Sensor Systems for Biomechanical Risk Assessment and Work-Related Musculoskeletal Disorder Prevention.
Review in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Article
- Real-Time Physiological Fatigue Prediction for Human-Robot Collaborative Manufacturing Using Wearable Sensor Fusion and Hybrid Deep Learning: An In Silico Digital Twin Study.Sensors (Basel, Switzerland) · 2026Article
- Real-Time Wearable sEMG Onset Detection and Phase Discrimination of Sit-to-Stand Movement via a Compact Dual-Channel DD-CNN.Sensors (Basel, Switzerland) · 2026Article
- Wearable Multifunctional Sensors for Human Activity Recognition.Sensors (Basel, Switzerland) · 2026Review
- Portable electronic devices for mechanotherapy and operative treatment of osteoarthritis.Mechanobiology in medicine · 2026Review
- Gait variability as a dual-pathway marker of cognitive-motor dysfunction in older adults with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
- Prevalence and risk factors of work-related musculoskeletal disorders among older hospital cleaners in Wenzhou, China.Frontiers in public health · 2025Article
- Use of advanced technologies by occupational physicians in Brazil: a descriptive study.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMTArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Work-related musculoskeletal disorders (WRMSDs) remain a major occupational health concern globally, and the conventional techniques for assessing them suffer some drawbacks. Indeed, conventional observational techniques are faced with subjectivity and the absence of real-time quantitative data; these emphasize the need for improved biomechanical risk assessment tools. Wearable sensor technology, which is considered an improved assessment tool, has received considerable acceptance in the occupational health field for evaluating biomechanical risk and preventing WRMSDs, focusing on their essential features and workplace significance. However, studies that have documented wearable sensors for biomechanical risk assessment focus mainly on the established sensing mechanisms, while the emerging wearable sensors are still in their infancy. This work aims to offer a comprehensive review of existing sensing mechanisms for biomechanical risk assessments, highlighting both established and emerging technologies for the advancement of wearable sensor systems that minimize ergonomic risks. Additionally, it serves as a guide for future research in wearable sensing technology for biomechanical risk evaluation. A comprehensive literature search was conducted across three databases, namely, Web of Science, PubMed, and Scopus; after the initial screening and removal of duplicates, 522 articles were identified, with 176 being included in the review. This Account discusses the working principles, applications, and limitations in occupational medicine, focusing on various types of wearable sensors, such as optoelectronics, soft wearable sensors, inertial sensors, pressure sensors, and electromyography (EMG) sensors. Moreover, this study offers an exhaustive classification of wearable sensors, emphasizing their development and incorporation into personal protective equipment (PPE). To improve ergonomic interventions and techniques for biomechanical risk assessment, this work promotes the incentive of quantifying ergonomic frameworks, real-time feedback systems, and standalone wearable devices. Our review also identifies key challenges, such as sensor placement, data processing, and worker acceptance, and proposes future directions for improving wearable sensor systems, including sensor fusion, miniaturization, and integration with PPE.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.