| Title |
Framework using multicriteria analysis for evaluating the risk of musculoskeletal disorders / |
| Authors |
Senvaitis, Karolis ; Adomavičienė, Aušra ; Daunoravičienė, Kristina |
| DOI |
10.3390/s25020444 |
| Full Text |
|
| Is Part of |
Sensors: Special Issue: Advanced Sensors in Biomechanics and Rehabilitation Applications.. Basel : MDPI. 2025, vol. 25, iss. 2, art. no. 444, p. 1-16.. eISSN 1424-8220 |
| Keywords [eng] |
biomechanics ; risk model ; statistics ; lifting motion ; musculoskeletal disorder |
| Abstract [eng] |
This study includes musculoskeletal disorder (MSD) risk evaluation based on the IMU sensor data gathered from patient-lifting movement performed by healthcare specialists. This is a continuation of previous research focusing on a novel multicriteria statistical model integrating experimental and large-scale statistical datasets. The proposed model estimates MSD probabilities over 5, 10, and 15 years for the neck (0.537 ± 0.156), shoulder (0.449 ± 0.084), and elbows (0.277 ± 0.221). The model enables individual risk profiling, influenced by dynamic parameters that can reduce the long-term risk by up to 70.49%. The model is in its early development stages, i.e., it is the proof of concept that offers a new approach to assessing MSD risk at work using motion tracking data in combination with statistics. Further studies with larger sample sizes and validated criterion weights are needed to refine and validate this approach. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
