Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders
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 lar...
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MDPI AG
2025-01-01
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Online Access: | https://www.mdpi.com/1424-8220/25/2/444 |
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author | Karolis Senvaitis Aušra Adomavičienė Kristina Daunoravičienė |
author_facet | Karolis Senvaitis Aušra Adomavičienė Kristina Daunoravičienė |
author_sort | Karolis Senvaitis |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-fa8ccf8d4f6545c1b64f2bffc76ead19 |
institution | Kabale University |
issn | 1424-8220 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj-art-fa8ccf8d4f6545c1b64f2bffc76ead192025-01-24T13:48:57ZengMDPI AGSensors1424-82202025-01-0125244410.3390/s25020444Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal DisordersKarolis Senvaitis0Aušra Adomavičienė1Kristina Daunoravičienė2Department of Biomechanical Engineering, Vilnius Gediminas Technical University, LT-10223 Vilnius, LithuaniaDepartment of Rehabilitation, Physical and Sports Medicine, Vilnius University, LT-01131 Vilnius, LithuaniaDepartment of Biomechanical Engineering, Vilnius Gediminas Technical University, LT-10223 Vilnius, LithuaniaThis 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.https://www.mdpi.com/1424-8220/25/2/444biomechanicsrisk modelstatisticslifting motionmusculoskeletal disorder |
spellingShingle | Karolis Senvaitis Aušra Adomavičienė Kristina Daunoravičienė Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders Sensors biomechanics risk model statistics lifting motion musculoskeletal disorder |
title | Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders |
title_full | Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders |
title_fullStr | Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders |
title_full_unstemmed | Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders |
title_short | Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders |
title_sort | framework using multicriteria analysis for evaluating the risk of musculoskeletal disorders |
topic | biomechanics risk model statistics lifting motion musculoskeletal disorder |
url | https://www.mdpi.com/1424-8220/25/2/444 |
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