title: EMG Processing Based Measures of Fatigue Assessment during Manual Lifting.
abstract: Manual lifting is one of the common practices used in the industries to transport or move objects to a desired place. Nowadays, even though mechanized equipment is widely available, manual lifting is still considered as an essential way to perform material handling task. Improper lifting strategies may contribute to musculoskeletal disorders (MSDs), where overexertion contributes as the highest factor. To overcome this problem, electromyography (EMG) signal is used to monitor the workers' muscle condition and to find maximum lifting load, lifting height and number of repetitions that the workers are able to handle before experiencing fatigue to avoid overexertion. Past researchers have introduced several EMG processing techniques and different EMG features that represent fatigue indices in time, frequency, and time-frequency domain. The impact of EMG processing based measures in fatigue assessment during manual lifting are reviewed in this paper. It is believed that this paper will greatly benefit researchers who need a bird's eye view of the biosignal processing which are currently available, thus determining the best possible techniques for lifting applications.
authors.affiliation: Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Selangor, Malaysia; Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia.
authors.forename: E F
authors.identifier: 0000-0002-0360-063X
authors.initials: EF
authors.lastname: Shair
authors.affiliation: Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Selangor, Malaysia.
authors.forename: S A
authors.identifier: 0000-0003-1759-0118
authors.initials: SA
authors.lastname: Ahmad
authors.affiliation: Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Selangor, Malaysia.
authors.forename: M H
authors.initials: MH
authors.lastname: Marhaban
authors.affiliation: Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Selangor, Malaysia.
authors.forename: S B
authors.identifier: 0000-0003-0634-2901
authors.initials: SB
authors.lastname: Mohd Tamrin
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia.
authors.forename: A R
authors.initials: AR
authors.lastname: Abdullah
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D004576:Electromyography; D006801:Humans; D017770:Lifting / Q000009:adverse effects*; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging / Q000503:physiopathology*; D009140:Musculoskeletal Diseases / Q000000981:diagnostic imaging / Q000503:physiopathology*; D011187:Posture; D016474:Weight-Bearing