Francesco Scotto di Luzio
Biographic Data
| ID | 9418797 |
|---|---|
| NAME | Francesco Scotto di Luzio |
| GIVEN NAMES | Francesco Scotto |
| FAMILY NAME | di Luzio |
| SIGNATURE | DI LUZIO F S |
| AFFILIATIONS | Università Campus Bio-Medico |
| ORCID | 0000-0002-9559-1805 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Estimating Workers’ Physical Effort during Isometric Contractions through sEMG
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 …
Exploring Priority Parameters in Physiotherapist Decision Models for Tailoring Robot-Aided Rehabilitation
Robot-aided rehabilitation is a promising method for treating both musculoskeletal and neuromuscular disorders, as the robotic systems can be equipped with sensors capable of deciphering the user needs, thus enabling therapists to tailor the rehabilitation program accordingly. These robotic platforms often rely on specific rules or Artificial Intelligence algorithms to reduce the therapists’ workload by automating parameter tuning. However, it is…
No prominent works on this page.
Exploring Priority Parameters in Physiotherapist Decision Models for Tailoring Robot-Aided Rehabilitation
Robot-aided rehabilitation is a promising method for treating both musculoskeletal and neuromuscular disorders, as the robotic systems can be equipped with sensors capable of deciphering the user needs, thus enabling therapists to tailor the rehabilitation program accordingly. These robotic platforms often rely on specific rules or Artificial Intelligence algorithms to reduce the therapists’ workload by automating parameter tuning. However, it is…
Estimating Workers’ Physical Effort during Isometric Contractions through sEMG
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 …
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · Physical medicine and rehabilitation (2 works) · Physical therapy (2 works) · Engineering (1 work) · Ergonomics and Human Factors (1 work) · Feature selection (1 work) · Human–computer interaction (1 work) · Isometric exercise (1 work)