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Yasar MN, Sica M, O'Flynn B, Tedesco S, Menolotto M. A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables. Sci Data 2024; 11:433. [PMID: 38678019 PMCID: PMC11055894 DOI: 10.1038/s41597-024-03254-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
Wearable sensors have recently been extensively used in sports science, physical rehabilitation, and industry providing feedback on physical fatigue. Information obtained from wearable sensors can be analyzed by predictive analytics methods, such as machine learning algorithms, to determine fatigue during shoulder joint movements, which have complex biomechanics. The presented dataset aims to provide data collected via wearable sensors during a fatigue protocol involving dynamic shoulder internal rotation (IR) and external rotation (ER) movements. Thirty-four healthy subjects performed shoulder IR and ER movements with different percentages of maximal voluntary isometric contraction (MVIC) force until they reached the maximal exertion. The dataset includes demographic information, anthropometric measurements, MVIC force measurements, and digital data captured via surface electromyography, inertial measurement unit, and photoplethysmography, as well as self-reported assessments using the Borg rating scale of perceived exertion and the Karolinska sleepiness scale. This comprehensive dataset provides valuable insights into physical fatigue assessment, allowing the development of fatigue detection/prediction algorithms and the study of human biomechanical characteristics during shoulder movements within a fatigue protocol.
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Affiliation(s)
- Merve Nur Yasar
- Tyndall National Institute, University College Cork, Cork, T12 R5CP, Ireland.
| | - Marco Sica
- Tyndall National Institute, University College Cork, Cork, T12 R5CP, Ireland.
| | - Brendan O'Flynn
- Tyndall National Institute, University College Cork, Cork, T12 R5CP, Ireland
| | - Salvatore Tedesco
- Tyndall National Institute, University College Cork, Cork, T12 R5CP, Ireland
| | - Matteo Menolotto
- Tyndall National Institute, University College Cork, Cork, T12 R5CP, Ireland
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Ziane C, Goubault E, Michaud B, Begon M, Dal Maso F. Muscle fatigue during assisted violin performance. ERGONOMICS 2024; 67:275-287. [PMID: 37264800 DOI: 10.1080/00140139.2023.2221416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 05/20/2023] [Indexed: 06/03/2023]
Abstract
Muscle fatigue is a primary risk factor in developing musculoskeletal disorders, which affect up to 93% musicians, especially violinists. Devices providing dynamic assistive support (DAS) to the violin-holding arm can lessen fatigue. The objective was to assess DAS effects on electromyography median frequency and joint kinematics during a fatiguing violin-playing task. Fifteen university-level and professional violinists were equipped with electromyography sensors and reflective markers to record upper-body muscle activity and kinematics. They played G scales with and without DAS until exhaustion. Paired t-tests assessed DAS effects on delta (final-initial) electromyography median frequencies and joint kinematics. DAS prevented the median frequency decrease of left supraspinatus, superior trapezius, and right medial deltoid, and increases in trunk rotation, left-wrist abduction, and right arm-elevation plane. DAS effects on kinematics were marginal due to retention of musical performance despite fatigue. However, DAS reduced fatigue of several muscles, which is promising for injury prevention.Practitioner summary: Violinists are greatly affected by musculoskeletal disorders. Effects of a mobility assistive device on muscle fatigue during violin playing was investigated. The assistive technology slowed down the development of fatigue for three neck/shoulder muscles, making assisted musical performance a promising avenue to prevent violinists' injuries.
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Affiliation(s)
- Clara Ziane
- Laboratoire de simulation et modélisation du mouvement, School of Kinesiology and Physical Activity Sciences, University of Montreal, Laval, Canada
- Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage, University of Montreal, Montreal, Canada
| | - Etienne Goubault
- Laboratoire de simulation et modélisation du mouvement, School of Kinesiology and Physical Activity Sciences, University of Montreal, Laval, Canada
| | - Benjamin Michaud
- Laboratoire de simulation et modélisation du mouvement, School of Kinesiology and Physical Activity Sciences, University of Montreal, Laval, Canada
| | - Mickaël Begon
- Laboratoire de simulation et modélisation du mouvement, School of Kinesiology and Physical Activity Sciences, University of Montreal, Laval, Canada
- Centre de Recherche du CHU Sainte-Justine, Montreal, Canada
| | - Fabien Dal Maso
- Laboratoire de simulation et modélisation du mouvement, School of Kinesiology and Physical Activity Sciences, University of Montreal, Laval, Canada
- Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage, University of Montreal, Montreal, Canada
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Silva-Migueis H, Martínez-Jiménez EM, Casado-Hernández I, Dias A, Monteiro AJ, Martins RB, Bernardes JM, López-López D, Gómez-Salgado J. Upper-Limb Kinematic Behavior and Performance Fatigability of Elderly Participants Performing an Isometric Task: A Quasi-Experimental Study. Bioengineering (Basel) 2023; 10:bioengineering10050526. [PMID: 37237596 DOI: 10.3390/bioengineering10050526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Upper-limb position-sustained tasks (ULPSIT) are involved in several activities of daily living and are associated with high metabolic and ventilatory demand and fatigue. In older people, this can be critical to the performance of daily living activities, even in the absence of a disability. OBJECTIVES To understand the ULPSIT effects on upper-limb (UL) kinetics and performance fatigability in the elderly. METHODS Thirty-one (31) elderly participants (72.61 ± 5.23 years) performed an ULPSIT. The UL average acceleration (AA) and performance fatigability were measured using an inertial measurement unit (IMU) and time-to-task failure (TTF). RESULTS The findings showed significant changes in AA in the X- and Z-axes (p < 0.05). AA differences in women started earlier in the baseline cutoff in the X-axis, and in men, started earlier between cutoffs in the Z-axis. TTF was positively related to AA in men until 60% TTF. CONCLUSIONS ULPSIT produced changes in AA behavior, indicative of movement of the UL in the sagittal plane. AA behavior is sex related and suggests higher performance fatigability in women. Performance fatigability was positively related to AA only in men, where movement adjustments occurred in an early phase, though with increased activity time.
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Affiliation(s)
- Helena Silva-Migueis
- Research, Health and Podiatry Group, Department of Health Sciences, Faculty of Nursing and Podiatry, Industrial Campus of Ferrol, Universidade da Coruña, 15403 Ferrol, Spain
- Physiotherapy Department, Escola Superior de Saúde da Cruz Vermelha Portuguesa-Lisboa, 1300-125 Lisbon, Portugal
| | - Eva María Martínez-Jiménez
- Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Israel Casado-Hernández
- Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Adriano Dias
- Department of Public Health, Graduate Program in Collective/Public Health, Botucatu Medical School, Universidade Estadual Paulista/UNESP, Botucatu 18610-307, SP, Brazil
| | - Ana Júlia Monteiro
- Research, Health and Podiatry Group, Department of Health Sciences, Faculty of Nursing and Podiatry, Industrial Campus of Ferrol, Universidade da Coruña, 15403 Ferrol, Spain
- Physiotherapy Department, Escola Superior de Saúde da Cruz Vermelha Portuguesa-Lisboa, 1300-125 Lisbon, Portugal
| | - Rodrigo B Martins
- Physiotherapy Department, Escola Superior de Saúde da Cruz Vermelha Portuguesa-Lisboa, 1300-125 Lisbon, Portugal
| | - João Marcos Bernardes
- Department of Public Health, Graduate Program in Collective/Public Health, Botucatu Medical School, Universidade Estadual Paulista/UNESP, Botucatu 18610-307, SP, Brazil
| | - Daniel López-López
- Research, Health and Podiatry Group, Department of Health Sciences, Faculty of Nursing and Podiatry, Industrial Campus of Ferrol, Universidade da Coruña, 15403 Ferrol, Spain
| | - Juan Gómez-Salgado
- Departamento de Sociología, Trabajo Social y Salud Pública, Universidad de Huelva, 21004 Huelva, Spain
- Safety and Health Postgraduate Programme, Universidad Espíritu Santo, Guayaquil 092301, Ecuador
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Brambilla C, Lavit Nicora M, Storm F, Reni G, Malosio M, Scano A. Biomechanical Assessments of the Upper Limb for Determining Fatigue, Strain and Effort from the Laboratory to the Industrial Working Place: A Systematic Review. Bioengineering (Basel) 2023; 10:445. [PMID: 37106632 PMCID: PMC10135542 DOI: 10.3390/bioengineering10040445] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/24/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
Recent human-centered developments in the industrial field (Industry 5.0) lead companies and stakeholders to ensure the wellbeing of their workers with assessments of upper limb performance in the workplace, with the aim of reducing work-related diseases and improving awareness of the physical status of workers, by assessing motor performance, fatigue, strain and effort. Such approaches are usually developed in laboratories and only at times they are translated to on-field applications; few studies summarized common practices for the assessments. Therefore, our aim is to review the current state-of-the-art approaches used for the assessment of fatigue, strain and effort in working scenarios and to analyze in detail the differences between studies that take place in the laboratory and in the workplace, in order to give insights on future trends and directions. A systematic review of the studies aimed at evaluating the motor performance, fatigue, strain and effort of the upper limb targeting working scenarios is presented. A total of 1375 articles were found in scientific databases and 288 were analyzed. About half of the scientific articles are focused on laboratory pilot studies investigating effort and fatigue in laboratories, while the other half are set in working places. Our results showed that assessing upper limb biomechanics is quite common in the field, but it is mostly performed with instrumental assessments in laboratory studies, while questionnaires and scales are preferred in working places. Future directions may be oriented towards multi-domain approaches able to exploit the potential of combined analyses, exploitation of instrumental approaches in workplace, targeting a wider range of people and implementing more structured trials to translate pilot studies to real practice.
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Affiliation(s)
- Cristina Brambilla
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA), Consiglio Nazionale delle Ricerche (CNR), Via Previati 1/E, 23900 Lecco, Italy
| | - Matteo Lavit Nicora
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA), Consiglio Nazionale delle Ricerche (CNR), Via Previati 1/E, 23900 Lecco, Italy
- Industrial Engineering Department, University of Bologna, 40126 Bologna, Italy
| | - Fabio Storm
- Bioengineering Laboratory, Scientific Institute, IRCCS “Eugenio Medea”, 23842 Bosisio Parini, Italy
| | - Gianluigi Reni
- Informatics Department, Autonomous Province of Bolzano, 39100 Bolzano, Italy
| | - Matteo Malosio
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA), Consiglio Nazionale delle Ricerche (CNR), Via Previati 1/E, 23900 Lecco, Italy
| | - Alessandro Scano
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA), Consiglio Nazionale delle Ricerche (CNR), Via Previati 1/E, 23900 Lecco, Italy
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