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Forsman, Mikael
Publications (10 of 13) Show all publications
Carl, L., Forsman, M. & Rose, L. (2019). Development and evaluation of RAMP I – apractitioner’s tool for screening of musculoskeletaldisorder risk factors in manual handling. International Journal of Occupational Safety and Ergonomics (JOSE), 25(2), 165-180, Article ID 10.1080/10803548.2017.1364458.
Open this publication in new window or tab >>Development and evaluation of RAMP I – apractitioner’s tool for screening of musculoskeletaldisorder risk factors in manual handling
2019 (English)In: International Journal of Occupational Safety and Ergonomics (JOSE), Vol. 25, no 2, p. 165-180, article id 10.1080/10803548.2017.1364458Article in journal (Refereed) Published
Abstract [en]

RAMP I is a screening tool developed to support practitioners in screening for work-related musculoskeletal disorder riskfactors related to manual handling. RAMP I, which is part of the RAMP tool, is based on research-based studies combinedwith expert group judgments. More than 80 practitioners participated in the development of RAMP I. The tool consistsof dichotomous assessment items grouped into seven categories. Acceptable reliability was found for a majority of theassessment items for 15 practitioners who were given 1 h of training. The usability evaluation points to RAMP I beingusable for screening for musculoskeletal disorder risk factors, i.e., usable for assessing risks, being usable as a decision base,having clear results and that the time needed for an assessment is acceptable. It is concluded that RAMP I is a usable toolfor practitioners.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
RAMP tool; risk assessment; risk management; manual materials handling; checklist; observation; reliability; usability
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-248972 (URN)10.1080/10803548.2017.1364458 (DOI)000458374800001 ()2-s2.0-85031500010 (Scopus ID)
Funder
AFA Insurance, 090168Forte, Swedish Research Council for Health, Working Life and Welfare, 2010-1563
Note

QC 20190514

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-14Bibliographically approved
Domkin, D., Forsman, M. & Richter, H. O. (2019). Effect of ciliary-muscle contraction force on trapezius muscle activity during computer mouse work. European Journal of Applied Physiology, 119(2), 389-397
Open this publication in new window or tab >>Effect of ciliary-muscle contraction force on trapezius muscle activity during computer mouse work
2019 (English)In: European Journal of Applied Physiology, ISSN 1439-6319, E-ISSN 1439-6327, Vol. 119, no 2, p. 389-397Article in journal (Refereed) Published
Abstract [en]

The present study aimed to identify whether or not an increase in ciliary-muscle contraction force, when the eye-lens is adjusted for viewing at a near distance, results in an increase in trapezius muscle activity, while performing a natural work task. Twelve participants, ranging in age from 21 to 32years, performed a computer-mouse work task during free gaze conditions. A moving visual target was tracked with a computer mouse on a screen placed at two different distances from the eyes, 25cm and 50cm. Tracking performance, eye accommodation, and bilateral trapezius muscle activity were measured continuously. Ciliary-muscle contraction force was computed according to a formula which takes into account the age-dependent, non-linear relationship between the contraction force of the ciliary muscle and the produced level of eye accommodation. Generalized estimating equations analyses were performed. On the dominant hand side and for the nearest screen distance, there was a significant effect of ciliary-muscle contraction force on the trapezius muscle activity (p<0.001). No other effects were significant (p>0.05). The results support the hypothesis that high visual demands, during computer mouse work, increase ciliary muscle contraction force and contribute to a raise of the sustained level of trapezius muscle activity. The current study specifically clarifies the validity of the relationship between ciliary-muscle contraction force and trapezius muscle activity and demonstrates that this relationship is not due to a general personality trait. We conclude that a high level of ciliary muscle contraction force can contribute to a development of musculoskeletal complaints in the neck-shoulder area.

Place, publisher, year, edition, pages
SPRINGER, 2019
Keywords
Eye-accommodation, Ciliary-muscle contraction force, Computer mouse work, Electromyography, Trapezius muscle, Visual ergonomics
National Category
Physiology
Identifiers
urn:nbn:se:kth:diva-244537 (URN)10.1007/s00421-018-4031-8 (DOI)000457735500006 ()30430279 (PubMedID)2-s2.0-85056460114 (Scopus ID)
Note

QC 20190404

Available from: 2019-04-04 Created: 2019-04-04 Last updated: 2019-04-04Bibliographically approved
Yang, L., Lu, K., Forsman, M., Lindecrantz, K., Seoane, F., Ekblom, Ö. & Eklund, J. (2019). Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system. Ergonomics
Open this publication in new window or tab >>Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system
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2019 (English)In: Ergonomics, ISSN 0014-0139, E-ISSN 1366-5847Article in journal (Other academic) Accepted
Abstract [en]

Work metabolism (WM) can be accurately estimated by oxygen consumption (VO2), which is commonly assessed by heart rate (HR) in field studies. However, the VO2–HR relationship is influenced by individual capacity and activity characteristics. The purpose of this study was to evaluate three models for estimating WM compared with indirect calorimetry, during simulated work activities. The techniques were: the HR-Flex model; HR branched model, combining HR with hip-worn accelerometers (ACC); and HR + arm-leg ACC model, combining HR with wrist- and thigh-worn ACC. Twelve participants performed five simulated work activities and three submaximal tests. The HR + arm-leg ACC model had the overall best performance with limits of agreement (LoA) of −3.94 and 2.00 mL/min/kg, while the HR-Flex model had −5.01 and 5.36 mL/min/kg and the branched model, −6.71 and 1.52 mL/min/kg. In conclusion, the HR + arm-leg ACC model should, when feasible, be preferred in wearable systems for WM estimation.

Keywords
Heart rate; work metabolism; motion sensing; wearable sensors; risk assessment; estimation models
National Category
Medical Engineering
Identifiers
urn:nbn:se:kth:diva-239148 (URN)10.1080/00140139.2019.1566579 (DOI)000468779800007 ()2-s2.0-85062366366 (Scopus ID)
Funder
AFA Insurance, 150039
Note

QC 20190218

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2019-06-11Bibliographically approved
Grooten, W. J., Hansson, A., Forsman, M., Kjellberg, K., Toomingas, A., Mueller, M., . . . Ang, B. O. (2019). Non-participation in initial and repeated health risk appraisals - a drop-out analysis based on a health project. BMC Health Services Research, 19, Article ID 130.
Open this publication in new window or tab >>Non-participation in initial and repeated health risk appraisals - a drop-out analysis based on a health project
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2019 (English)In: BMC Health Services Research, ISSN 1472-6963, E-ISSN 1472-6963, Vol. 19, article id 130Article in journal (Refereed) Published
Abstract [en]

BackgroundHealth risk assessment (HRAs) are commonly used by occupational health services (OHS) to aid workplaces in keeping their employees healthy, but for unknown reasons, many employees choose not to participate in the HRAs. The aim of the study was to explore whether demographic, lifestyle and health-related factors in employees are associated with non-participation in initial and repeated HRAs.MethodsIn an OHS-based health project, 2022 municipal employees were asked to participate in three repeated HRAs. Multiple logistic regression analyses were used so as to determine associations between non-participating and demographic, lifestyle and health-related factors (e.g. biomarkers).ResultsAmong the employees who were asked to participate in the health project, more than half did not participate in any HRA and among those who did, more than one third did not participate in repeated HRAs. Young age, male sex and being employed in the Technical department or Health and Social Care department in comparison with being employed in the department for Childcare and Education were factors significantly associated with non-participation in the initial HRA. These factors, together with being on sick leave and having unhealthy dietary habits, were factors associated with non-participation in repeated HRAs.ConclusionsAmong the non-participators in initial HRAs and in repeated HRAs younger men and those already related to ill-health were overrepresented. This implicates that health care providers to a higher extent should focus on those most needed and that employers should be more engaged in results of repeated HRA's. Future studies should focus on modifiable variables that could make the HRAs more attractive and inclusive.

Place, publisher, year, edition, pages
BMC, 2019
Keywords
Health promotion, Lifestyle changes, Occupational health services, Physical activity, Participation, Sickness prevention
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:kth:diva-245910 (URN)10.1186/s12913-019-3949-9 (DOI)000459435700002 ()30791905 (PubMedID)2-s2.0-85061980634 (Scopus ID)
Note

QC 20190318

Available from: 2019-03-18 Created: 2019-03-18 Last updated: 2019-04-04Bibliographically approved
Wells, A. C., Kjellman, M., Harper, S. J. F., Forsman, M. & Hallbeck, M. S. (2019). Operating hurts: a study of EAES surgeons. Paper presented at 26th International Congress of the European-Association-of-Endoscopic-Surgery (EAES), MAY 30-JUN 01, 2018, London, ENGLAND. Surgical Endoscopy, 33(3), 933-940
Open this publication in new window or tab >>Operating hurts: a study of EAES surgeons
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2019 (English)In: Surgical Endoscopy, ISSN 0930-2794, E-ISSN 1432-2218, Vol. 33, no 3, p. 933-940Article in journal (Refereed) Published
Abstract [en]

BackgroundWork-related pain and discomfort experienced by surgeons is widely reported in the literature. A survey was, therefore, conducted to explore this issue among members of the European Association for Endoscopic Surgery (EAES).MethodsThe survey was emailed to 2980 EAES members in 2017 enquiring about their working practice, musculoskeletal (MSK) pain and burnout.ResultsA total of 569 (19%) surgeons responded, of whom 556 were practicing surgeons; 86% were consultants, 84% were male, and 94% were right-handed. Respondents operated on average 3.3days/week with 27% of their procedures lasting longer than 3h. The 386 endoscopists surveyed reported performing an average of 5.3 procedures/day with 83% performing endoscopy at least once per week. Over half of practicing surgeons (62%) reported their worst pain score was 3 or higher (10-point scale) in the past 7 working days, encompassing 71% of their open, 72% laparoscopic, 48% robot-assisted cases and 52% of their endoscopies. Of the 120 surgeons who had ever sought medical help for aches, pain or discomfort, 38% were currently in pain and 16% had considered leaving surgery due to their MSK pain, 26% had reported work-related pain to their employer, 26% had been on short-term disability during their career and 4% long-term disability due to MSK disorders. A significant proportion of the respondents (49%) felt their physical discomfort would influence the ability to perform or assist with surgical procedures in the future. These surgeons reported significantly lower satisfaction from their work (p=0.024), higher burnout (p=0.005) and significantly higher callousness toward people (p<0.001) than those not fearing loss of career longevity.ConclusionThe results show that MSK pain is prevalent amongst EAES members. Nearly half the respondents had career longevity fears from pain/discomfort which, in turn, correlated with more prevalent feelings of burnout. More emphasis should be placed on the aetiology, prevention and management of musculoskeletal pain in the surgical workforce.

Place, publisher, year, edition, pages
SPRINGER, 2019
Keywords
Survey, Musculoskeletal pain, Burnout, Operating theatre, Surgical ergonomics, Endoscopy
National Category
Health Sciences
Identifiers
urn:nbn:se:kth:diva-247827 (URN)10.1007/s00464-018-6574-5 (DOI)000459683700034 ()30456510 (PubMedID)2-s2.0-85056885161 (Scopus ID)
Conference
26th International Congress of the European-Association-of-Endoscopic-Surgery (EAES), MAY 30-JUN 01, 2018, London, ENGLAND
Note

QC 20190326

Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Vega-Barbas, M., Diaz-Olivares, J. A., Lu, K., Forsman, M., Seoane, F. & Abtahi, F. (2019). P-Ergonomics Platform: Toward Precise, Pervasive, and Personalized Ergonomics using Wearable Sensors and Edge Computing. Sensors, 19(5), Article ID 1225.
Open this publication in new window or tab >>P-Ergonomics Platform: Toward Precise, Pervasive, and Personalized Ergonomics using Wearable Sensors and Edge Computing
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2019 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 19, no 5, article id 1225Article in journal (Refereed) Published
Abstract [en]

Preventive healthcare has attracted much attention recently. Improving people's lifestyles and promoting a healthy diet and wellbeing are important, but the importance of work-related diseases should not be undermined. Musculoskeletal disorders (MSDs) are among the most common work-related health problems. Ergonomists already assess MSD risk factors and suggest changes in workplaces. However, existing methods are mainly based on visual observations, which have a relatively low reliability and cover only part of the workday. These suggestions concern the overall workplace and the organization of work, but rarely includes individuals' work techniques. In this work, we propose a precise and pervasive ergonomic platform for continuous risk assessment. The system collects data from wearable sensors, which are synchronized and processed by a mobile computing layer, from which exposure statistics and risk assessments may be drawn, and finally, are stored at the server layer for further analyses at both individual and group levels. The platform also enables continuous feedback to the worker to support behavioral changes. The deployed cloud platform in Amazon Web Services instances showed sufficient system flexibility to affordably fulfill requirements of small to medium enterprises, while it is expandable for larger corporations. The system usability scale of 76.6 indicates an acceptable grade of usability.

Place, publisher, year, edition, pages
MDPI, 2019
Keywords
disease prevention, occupational healthcare, P-Ergonomics, precision ergonomics, musculoskeletal disorders, smart textiles, wearable sensors, wellbeing at work
National Category
Occupational Health and Environmental Health
Identifiers
urn:nbn:se:kth:diva-249891 (URN)10.3390/s19051225 (DOI)000462540400244 ()30862019 (PubMedID)2-s2.0-85062856566 (Scopus ID)
Available from: 2019-04-26 Created: 2019-04-26 Last updated: 2019-04-26Bibliographically approved
Lind, C. M. (2019). Prevention of Work Related Musculoskeletal Disorders Using Smart Workwear – The Smart Workwear Consortium. In: Ahram T., Karwowski W., Taiar R (Ed.), Advances in Intelligent Systems and Computing: International Conference on Human Systems Engineering and Design: Future Trends and Applications: Human Systems Engineering and Design (pp. 477-483). Switzerland: Springer
Open this publication in new window or tab >>Prevention of Work Related Musculoskeletal Disorders Using Smart Workwear – The Smart Workwear Consortium
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2019 (English)In: Advances in Intelligent Systems and Computing: International Conference on Human Systems Engineering and Design: Future Trends and Applications: Human Systems Engineering and Design / [ed] Ahram T., Karwowski W., Taiar R, Switzerland: Springer, 2019, p. 477-483Chapter in book (Refereed)
Abstract [en]

Adverse work-related physical exposures such as repetitive movements and awkward postures have negative health effects and lead to large financial costs. To address these problems, a multi-disciplinary consortium was formed with the aim of developing an ambulatory system for recording and analyzing risks for musculoskeletal disorders utilizing textile integrated sensors as part of the regular workwear. This paper presents the consortium, the Smart Workwear System, and a case study illustrating its potential to decrease adverse biomechanical exposure by promoting improved work technique.

Place, publisher, year, edition, pages
Switzerland: Springer, 2019
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-248986 (URN)10.1007/978-3-030-02053-8_73 (DOI)2-s2.0-85055784878 (Scopus ID)978-3-030-02053-8 (ISBN)
Projects
Vinnova: UDI - Smarta textilier för ett hållbart arbetsliv
Funder
Vinnova, 2016-03782
Note

QC 20190514

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-14Bibliographically approved
Yang, L., Borgström, D. & Forsman, M. (2019). Validation and comparison of three positioning protocols of inertial measurement units for measuring trunk movement. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 205-211). Springer
Open this publication in new window or tab >>Validation and comparison of three positioning protocols of inertial measurement units for measuring trunk movement
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, p. 205-211Conference paper, Published paper (Refereed)
Abstract [en]

Postures and movements of the trunk are of ergonomic concern when evaluating the risks at work. Technical measurement methods can be used for measurements of trunk movements for long duration with high accuracy, and are therefore increasingly used in practice and research. However, currently there is no standardized protocol for the sensor placement for trunk measurement. Three placement protocols of inertial measurement units (IMUs), including placement on C7, T4 and sternum (St), in combination with S1 spinous process, were compared with an optical motion capture (OMC) system. Four subjects performed a movement test including forward to backward bending, sideward bending and twisting of the trunk, and a symmetrical lifting task. Root-mean-square differences (RMSDs) and Pearson’s correlation were calculated between the two systems. For the movement tests, the RMSDs of the forward inclination at the 10th, 50th and 90th percentiles from the three IMUs were all smaller than 7.3°. Larger differences were shown for C7 of the sideward inclination at 90th percentile (10.8°). Also for the twisting, larger differences were shown, especially for C7-S1 and T4-S1 (RMSD = 16.5° and 19.8°). For the lifting tests of forward inclination, St had the smallest differences compared to OMC (RMSDs &lt; 4.1°), while slightly larger errors were found for C7 and T4 at the 90th percentile (RMSDs = 8.1° and 8.2°). Different positioning protocols seem to have a slightly different effect on the measurement accuracy of trunk movement. Considerations should be taken when comparing results across studies applying different protocols.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Inertial sensor, Postural assessment, Trunk motion
National Category
Other Medical Engineering
Identifiers
urn:nbn:se:kth:diva-233650 (URN)10.1007/978-3-319-96083-8_27 (DOI)2-s2.0-85051807854 (Scopus ID)9783319960821 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-08-28Bibliographically approved
Mahdavian, N., Lind, C. M., Diaz Olivares, J. A., Pascual, A., Högberg, D., Brolin, E., . . . Hanson, L. (2018). Effect of giving feedback on postural working techniques. In: Advances in Transdisciplinary Engineering: . Paper presented at 16th International Conference on Manufacturing Research, ICMR 2018, 11 September 2018 through 13 September 2018 (pp. 247-252). IOS Press, 8
Open this publication in new window or tab >>Effect of giving feedback on postural working techniques
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2018 (English)In: Advances in Transdisciplinary Engineering, IOS Press, 2018, Vol. 8, p. 247-252Conference paper, Published paper (Refereed)
Abstract [en]

Working postures and movements affect work efficiency and musculoskeletal health. To reduce the biomechanical exposure in physically demanding settings, working techniques may be improved by giving instant ergonomic feedback to the operator. This study investigates if feedback can be used to decrease adverse postures and movements in assembly work. A prototype solution of a smart textile workwear was used on a trainee assembly line. Posture and movement signals of 24 trainee operators were sampled via the workwear, transferred to a tablet for analyses and used to provide feedback suggesting improvements of work technique. Two modes of feedback were tested. Every participant’s work technique was measured before and after receiving the feedback and the results were compared. For upper arm elevation angle ≥60°, behaviour change is indicated, supporting a positive work technique change, and indicated a future usefulness of technical automatic feedback for operators.

Place, publisher, year, edition, pages
IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-7528 ; 8
Keywords
Ergonomics, Feedback, Smart textiles, Work technique
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-246531 (URN)10.3233/978-1-61499-902-7-247 (DOI)000462212700040 ()2-s2.0-85057403062 (Scopus ID)9781614994398 (ISBN)
Conference
16th International Conference on Manufacturing Research, ICMR 2018, 11 September 2018 through 13 September 2018
Note

QC 20190402

Available from: 2019-04-02 Created: 2019-04-02 Last updated: 2019-06-26Bibliographically approved
Lu, K., Yang, L., Seoane, F., Abtahi, F., Forsman, M. & Lindecrantz, K. (2018). Fusion of heart rate, respiration and motion measurements from a wearable sensor system to enhance energy expenditure estimation. Sensors, 18(9), Article ID 3092.
Open this publication in new window or tab >>Fusion of heart rate, respiration and motion measurements from a wearable sensor system to enhance energy expenditure estimation
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2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 9, article id 3092Article in journal (Refereed) Published
Abstract [en]

This paper presents a new method that integrates heart rate, respiration, and motion information obtained from a wearable sensor system to estimate energy expenditure. The system measures electrocardiography, impedance pneumography, and acceleration from upper and lower limbs. A multilayer perceptron neural network model was developed, evaluated, and compared to two existing methods, with data from 11 subjects (mean age, 27 years, range, 21–65 years) who performed a 3-h protocol including submaximal tests, simulated work tasks, and periods of rest. Oxygen uptake was measured with an indirect calorimeter as a reference, with a time resolution of 15 s. When compared to the reference, the new model showed a lower mean absolute error (MAE = 1.65 mL/kg/min, R2 = 0.92) than the two existing methods, i.e., the flex-HR method (MAE = 2.83 mL/kg/min, R2 = 0.75), which uses only heart rate, and arm-leg HR+M method (MAE = 2.12 mL/kg/min, R2 = 0.86), which uses heart rate and motion information. As indicated, this new model may, in combination with a wearable system, be useful in occupational and general health applications. 

Place, publisher, year, edition, pages
MDPI AG, 2018
Keywords
Accelerometer, Energy expenditure, Impedance pneumography, Neural network, Wearable device, Accelerometers, Heart, Neural networks, Energy expenditure estimation, Mean absolute error, Motion measurements, Multi-layer perceptron neural networks, Wearable devices, Wearable sensor systems, Wearable sensors
National Category
Health Sciences
Identifiers
urn:nbn:se:kth:diva-236691 (URN)10.3390/s18093092 (DOI)000446940600351 ()30223429 (PubMedID)2-s2.0-85053711948 (Scopus ID)
Note

Export Date: 22 October 2018; Article; Correspondence Address: Ke, L.; School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Hälsovägen 11C, Sweden; email: kelu@kth.se; Funding details: 18454; Funding details: Dnr 150039; Funding text: Funding: This work was supported by AFA Insurance under Grant Dnr 150039, EIT Health under project no. 18454 “Wellbeing, Health and Safety @ Work”, and CSC Scholarship Council. QC 20181112

Available from: 2018-11-12 Created: 2018-11-12 Last updated: 2018-11-20Bibliographically approved
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