Loredana Zollo
Datos Biográficos
| ID | 9418802 |
|---|---|
| NOMBRE | Loredana Zollo |
| NOMBRES | Loredana |
| APELLIDO | Zollo |
| FIRMA | ZOLLO L |
| AFILIACIONES | Università Campus Bio-Medico |
| ORCID | 0000-0002-8015-010X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 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…
A real-time biphasic Kalman filter-based model for estimating human core temperature from heart rate measurements for application in the occupational field
Introduction Early identification of hypothermia or hyperthermia is of vital importance, and real-time monitoring of core temperature ( CT ) of the workers exposed to thermal environments is an extremely valuable tool. From the existing literature studies, the model developed by Buller et al. in their study of 2013 that generates real-time estimates of CT from heart rate ( HR ) measurements using the Kalman filter (KF) shows good potential for oc…
A Hybrid Joint/Cartesian DMP-Based Approach for Obstacle Avoidance of Anthropomorphic Assistive Robots
Sin obras prominentes en esta página.
A Hybrid Joint/Cartesian DMP-Based Approach for Obstacle Avoidance of Anthropomorphic Assistive Robots
A real-time biphasic Kalman filter-based model for estimating human core temperature from heart rate measurements for application in the occupational field
Introduction Early identification of hypothermia or hyperthermia is of vital importance, and real-time monitoring of core temperature ( CT ) of the workers exposed to thermal environments is an extremely valuable tool. From the existing literature studies, the model developed by Buller et al. in their study of 2013 that generates real-time estimates of CT from heart rate ( HR ) measurements using the Kalman filter (KF) shows good potential for oc…
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 (4 obras) · Computer Science (4 obras) · Medicine (3 obras) · Robot (3 obras) · Mathematics (2 obras) · Muscle activation and electromyography studies (2 obras) · Physical medicine and rehabilitation (2 obras) · Physical therapy (2 obras) · Prosthetics and Rehabilitation Robotics (2 obras) · Rehabilitation robotics (2 obras)