Bipolar versus high-density surface electromyography for evaluating risk in fatiguing frequency-dependent lifting activities. (September 2021)

• Record Type: Journal Article
• Authors: Varrecchia, Tiwana; Ranavolo, Alberto; Conforto, Silvia; De Nunzio, Alessandro Marco; Arvanitidis, Michail; Draicchio, Francesco; Falla, Deborah
• Is Part Of: Applied ergonomics. Volume 95(2021)
• Publication Date: 2021-09
• Subjects: Bipolar and high-Density (HD) sEMG -- Biomechanical risk -- Fatiguing frequency-dependent lifting activities; Human engineering -- Periodicals; 620.82
• DOI: 10.1016/j.apergo.2021.103456
• Languages: English
• ISSNs: 0003-6870

Abstract

Abstract: Workers often develop low back pain due to manually lifting heavy loads. Instrumental-based assessment tools are used to quantitatively assess the biomechanical risk in lifting activities. This study aims to verify the hypothesis that high-density surface electromyography (HDsEMG) allows an optimized discrimination of risk levels associated with different fatiguing lifting conditions compared to traditional bipolar sEMG. 15 participants performed three lifting tasks with a progressively increasing lifting index (LI) each lasting 15 min. Erector spinae (ES) activity was recorded using both bipolar and HDsEMG systems. The amplitude of both bipolar and HDsEMG can significantly discriminate each pair of LI. HDsEMG data could discriminate across the different LIs starting from the fourth minute of the task while bipolar sEMG could only do so towards the end. The higher discriminative power of HDsEMG data across the lifting tasks makes such methodology a valuable tool to be used to monitor fatigue while lifting and could extend the possibilities offered by currently available instrumental-based tools. Graphical abstract: Image 1 Highlights: Erector spinae muscle activity changes with risk levels in lifting activities. The amplitude of both bipolar and HDsEMG can discriminate risk in lifting. HDsEMG optimizes risk level discrimination compared to traditional bipolar sEMG. HDsEMG could be valuable tool to monitor fatigue while lifting.