- Tytuł:
- A System for Predicting Musculoskeletal Disorders Among Dental Students
- Autorzy:
-
Thanathornwong, B.
Suebnukarn, S.
Ouivirach, K. - Powiązania:
- https://bibliotekanauki.pl/articles/90683.pdf
- Data publikacji:
- 2014
- Wydawca:
- Centralny Instytut Ochrony Pracy
- Tematy:
-
musculoskeletal disorders
prediction model
hidden Markov models
dental students
zaburzenia układu mięśniowo-szkieletowego
model prognostyczny
model Markova
studenci stomatologii - Opis:
- Objective. This study aimed to develop a system for predicting work-related musculoskeletal disorders (WMSD) among dental students. Materials and methods. The system comprised 2 accelerometer sensors to register neck and upper back postures and movements, and software developed to collect and process the data. Hidden Markov models (HMMs) were used to predict the likelihood of WMSD in dental students by comparing their neck and upper back movement patterns with WMSD and non-WMSD HMMs learned from previous data. To evaluate the performance of the system, 16 participants were randomly assigned into a 2 × 2 crossover trial scheduled for each sequence of working: receiving feedback or no-feedback from the system. The primary outcome measure was the extension of the neck and upper back, before (pre-test) and after (posttest) receiving feedback or no-feedback from the system. The secondary outcome measure was the log likelihood of classifying the movements as WMSD. Results and discussion. The results showed that in the group that received feedback, the extension of the neck in the y axis and of the upper back in the y axis decreased significantly (t test, p < .05) on the post-test. Conclusion. The system for predicting and preventing WMSD aids the correction of the extension of the neck and upper back in the y axis.
- Źródło:
-
International Journal of Occupational Safety and Ergonomics; 2014, 20, 3; 463-475
1080-3548 - Pojawia się w:
- International Journal of Occupational Safety and Ergonomics
- Dostawca treści:
- Biblioteka Nauki