Christian Tamantini
Biographic Data
| ID | 9418794 |
|---|---|
| NAME | Christian Tamantini |
| GIVEN NAMES | Christian |
| FAMILY NAME | Tamantini |
| SIGNATURE | TAMANTINI C |
| AFFILIATIONS | National Research Council |
| ORCID | 0000-0001-6238-2241 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| 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 …
Artificial Intelligence in Upper Limb Robot-Aided Physical Rehabilitation
Rehabilitative therapies play a crucial role in upper limb motor recovery, as upper limbs are the most active parts in executing the activities of daily living. Because of a huge number of people with motor disorders and a shortage of therapists, the integration of data-driven AI methodologies and robots for rehabilitation could be helpful in creating personalized and challenging therapies, leading to a myriad of benefits for both patients and th…
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…
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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 in Upper Limb Robot-Aided Physical Rehabilitation
Rehabilitative therapies play a crucial role in upper limb motor recovery, as upper limbs are the most active parts in executing the activities of daily living. Because of a huge number of people with motor disorders and a shortage of therapists, the integration of data-driven AI methodologies and robots for rehabilitation could be helpful in creating personalized and challenging therapies, leading to a myriad of benefits for both patients and th…
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · Muscle activation and electromyography studies (2 works) · Physical medicine and rehabilitation (2 works) · Physical therapy (2 works) · Prosthetics and Rehabilitation Robotics (2 works) · Rehabilitation robotics (2 works) · Robot (2 works) · Stroke Rehabilitation and Recovery (2 works)