# A data analytic framework for physical fatigue management using wearable sensors

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-data-analytic-framework-for-physical-fatigue-management-using-wearable-sensors/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zahra Sedighi Maman,Ying‐Ju Chen,Amir Baghdadi,Seamus Lombardo,Lora Cavuoto,Fadel M. Megahed |
| Citations | 120 |
| DOI | 10.1016/j.eswa.2020.113405 |
| Fields | Health Professions,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3016414762 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Amir Baghdadi](https://scholariq.org/researchers/amir-baghdadi/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)

## Paper topics

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)
- [Ergonomics and Musculoskeletal Disorders](https://scholariq.org/topics/ergonomics-and-musculoskeletal-disorders/)
- [Occupational Health and Safety Research](https://scholariq.org/topics/occupational-health-and-safety-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.