Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms-Reference-Cited by-同舟云学术

Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms

Published:2024-07-15 Issue:14 Volume:24 Page:22934-22944
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sassi Martina¹^ORCID,Carnevale Arianna²^ORCID,Mancuso Matilde²,Schena Emiliano³^ORCID,Pecchia Leandro¹^ORCID,Giuseppe Longo Umile²^ORCID

Affiliation:

1. Department of Engineering, Unit of Intelligent Health Technologies, Sustainable Design Management and Assessment, Università Campus Bio-Medico di Roma, Rome, Italy

2. Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Rome, Italy

3. Department of Engineering, Laboratory of Measurement and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Rome, Italy

Funder

ODIN Project, as part of the European Union’s Horizon 2020 Research and Innovation Program

Italian Ministry of Health in the framework of Ricerca Finalizzata 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10599846/10547656.pdf?arnumber=10547656

Reference57 articles.

1. Assessment of Shoulder Range of Motion Using a Wearable Inertial Sensor Network

2. Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders

3. Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice

4. Cost-Effectiveness of Supervised versus Unsupervised Rehabilitation for Rotator-Cuff Repair: Systematic Review and Meta-Analysis

5. Location and Tracking Mode of Sports Rehabilitation Training With Self-Powered Sensors Based on Particle Swarm Optimization Algorithm

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