Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Estimating Workers’ Physical Effort during Isometric Contractions through sEMG

The Role of Feature Selection

Datos Bibliográficos

ID22190851
AutoresRoberto Billardello (0009-0001-6268-9734, Università Campus Bio-Medico), Christian Tamantini (0000-0001-6238-2241, National Research Council), Francesca Cordella (0000-0002-6946-0377, Università Campus Bio-Medico), Francesco Scotto di Luzio (0000-0002-9559-1805, Università Campus Bio-Medico), Tiwana Varrecchia (0000-0003-3910-2728, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro), Giorgia Chini (0000-0002-7654-0025, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro), Francesco Draicchio (0000-0003-0677-2573, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro), Alberto Ranavolo (0000-0002-0197-6166, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro), Loredana Zollo (0000-0002-8015-010X, Università Campus Bio-Medico)
Año2026
Volumen15
Número1
Páginas1-21
Fecha de publicación2026-01-31
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaACM Transactions on Human-Robot Interaction (JOURNAL)
Identificadores de la revistaISSN: 2573-9522 • E-ISSN: 2573-9522
EditorialAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3759159
OpenAlexW4412990943
IdiomaEN
Referencias citadas67

Work-related musculoskeletal disorders represent one main contributor to production workers absenteeism. In industry 5.0, exoskeletons have been proposed to mitigate risks of injury by supporting workers during repetitive tasks, with surface Electromyography (sEMG) showcasing their effects. Although existing studies have primarily evaluated exoskeletons by comparing muscle activity with and without the device, a systematic investigation of which sEMG features most effectively reflect muscle fatigue during prolonged arm elevation is still missing. This study aims to evaluate the effectiveness of different sEMG features in estimating perceived physical effort during an overhead bolting-unbolting task, performed by 10 participants both with and without a passive shoulder exoskeleton. It further assesses how the use of the exoskeleton influences the fatigue-related metrics identified. sEMG signals were collected from seven bilateral muscle groups, and 15 time-, frequency-, and spatial-domain features were extracted and correlated with two subjective effort perception models. Our results highlight strong correlations between time-domain features and perceived physical effort. Moreover, comparisons between conditions demonstrate that the exoskeleton provides a measurable fatigue-reducing effect. In contrast, spatial-domain features showed weak associations with perceived effort, suggesting limited suitability for low-intensity, long-duration tasks. These findings contribute to identifying the most informative sEMG features for fatigue estimation and provide evidence of the benefits of passive exoskeletons in industrial scenarios

Feature selection · Isometric exercise · Physical medicine and rehabilitation · Physical therapy · Computer Science · Ergonomics and Human Factors · Medicine · Muscle activation and electromyography studies · Musculoskeletal pain and rehabilitation · Artificial Intelligence

  • Development of recommendations for Semg sensors and sensor placement procedures

    Open Access•Hermie J Hermens, Hermie Hermens et al.•Journal of Electromyography and…•2000

  • Psychophysical bases of perceived exertion

    Gunnar Borg, GUNNAR A V BORG•Medicine & Science in Sports &…•1982

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae