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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Main Authors: Karolis Senvaitis, Aušra Adomavičienė, Kristina Daunoravičienė
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
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.
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publishDate 2025-01-01
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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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AT kristinadaunoraviciene frameworkusingmulticriteriaanalysisforevaluatingtheriskofmusculoskeletaldisorders