Marco Bravi
Biographic Data
| ID | 7874496 |
|---|---|
| NAME | Marco Bravi |
| GIVEN NAMES | Marco |
| FAMILY NAME | Bravi |
| SIGNATURE | BRAVI M |
| AFFILIATIONS | Università Campus Bio-Medico |
| ORCID | 0000-0002-3396-4100 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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…
Preliminary Assessment of a Flexible Multi-Sensor Wearable System Based on Fiber Bragg Gratings for Respiratory Monitoring of Hemiplegic Patients
Respiratory diseases are common in post-stroke hemiplegic patients and represent a major social problem as they worsen the quality of life and reduce the life span. As a consequence, being able to monitor respiratory parameters such as the respiratory rate (RR) and assess the presence of respiratory asynchronies could be of paramount importance to define hemiplegics' health status. Moreover, RR is a useful parameter to investigate the level of fa…
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Preliminary Assessment of a Flexible Multi-Sensor Wearable System Based on Fiber Bragg Gratings for Respiratory Monitoring of Hemiplegic Patients
Respiratory diseases are common in post-stroke hemiplegic patients and represent a major social problem as they worsen the quality of life and reduce the life span. As a consequence, being able to monitor respiratory parameters such as the respiratory rate (RR) and assess the presence of respiratory asynchronies could be of paramount importance to define hemiplegics' health status. Moreover, RR is a useful parameter to investigate the level of fa…
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…
Computer Science (2 works) · Medicine (2 works) · Physical medicine and rehabilitation (2 works) · Advanced Fiber Optic Sensors (1 work) · Advanced Sensor and Energy Harvesting Materials (1 work) · Artificial Intelligence (1 work) · Embedded system (1 work) · Engineering (1 work) · Fiber Bragg grating (1 work) · Human–computer interaction (1 work)