A Soft Robotic Textile‐Actuated Anthropomorphic Artificial Shoulder Mechanism DOI Creative Commons
Bibhu Sharma, James Davies,

Emanuele Nicotra

et al.

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Replicating the human shoulder in anthropomorphic systems is notoriously challenging due to its complex combination of mobility and strength. This study presents design, fabrication, control a new soft artificial that achieves broad range motion, torque, compliance. Powered by robotic textiles consisting network hydraulic muscles, engineered effectively mimics intricate movements, including flexion/extension, abduction/adduction, medial/lateral rotation. Experiments demonstrate can generate peak torque 9.6 ± 0.1 Nm, covering 65.3% workspace. The capability demonstrated through several experimental testbeds. First, it employed develop gesture‐controlled telemanipulation system, applicable robot‐assisted surgery, hazardous environment operations, gaming, rehabilitation. Second, serves as platform for simulating studying neurological disorders, such Parkinson's disease. approach offers reliable vitro testing ground wearable device validation, providing crucial intermediary step before progressing user studies. marks significant advancement next‐generation systems, closely mimicking musculoskeletal with promising applications assistive devices, haptics, orthopedic testing, medical technologies.

Language: Английский

Patient performance assessment methods for upper extremity rehabilitation in assist-as-needed therapy strategies: a comprehensive review DOI Creative Commons
Erkan Ödemiş, Cabbar Veysel Baysal, Mustafa İncı

et al.

Medical & Biological Engineering & Computing, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

This paper aims to comprehensively review patient performance assessment (PPA) methods used in assist-as-needed (AAN) robotic therapy for upper extremity rehabilitation. AAN strategies adjust assistance according the patient's performance, aiming enhance engagement and recovery individuals with motor impairments. categorizes implemented PPA literature first time such a wide scope suggests future research directions improve adaptive personalized therapy. At first, studies are examined evaluate methods, which subsequently categorized their underlying implementation strategies: position error-based force-based electromyography (EMG), electroencephalography (EEG)-based indicator-based physiological signal-based methods. The advantages limitations of each method discussed. In addition classification current study also examines clinically tested applied rehabilitation clinical outcomes. Clinical findings from these trials demonstrate potential improving function engagement. Nevertheless, more extensive testing is necessary establish long-term benefits over conventional therapies. Ultimately, this guide developments field rehabilitation, providing researchers insights into optimizing enhanced

Language: Английский

Citations

0

Kinetic elements and brushstroke dynamics in painting through the lens of biomechanics DOI Open Access
Z. G. Zhao

Molecular & cellular biomechanics, Journal Year: 2025, Volume and Issue: 22(2), P. 763 - 763

Published: Jan. 17, 2025

This study explores the biomechanics of brushstroke dynamics in painting, focusing on physical demands different types and their underlying kinetic elements. Through an experimental method combining motion capture, force sensors, electromyography, we analyzed joint angles, Muscle Activation (MA) patterns, application across four types: broad strokes, fine detail, stippling, circular motions. Key findings revealed that strokes required most extensive range motion, with shoulder elbow angles averaging 45°–60° 30°–40°, respectively, reflecting involvement larger muscle groups creating expansive movements. Fine detail contrast, relied predominantly wrist flexion extension (15°–20°), necessitating greater precision stability from distal muscles. Force analysis showed stippling generated highest mean (10.2 N) due to repetitive dabbing motions, whereas exhibited minimal variability, indicating controlled, delicate engagement. Electromyography data indicated peak MA extensor carpi radialis flexor during highlighting unique rotational motor control painting. These underscore complex interplay movement, force, for painting techniques, contributing valuable insights optimizing technique preventing strain artists. research provides a foundational biomechanical understanding execution, implications art education, rehabilitation, ergonomic interventions arts.

Language: Английский

Citations

0

A Soft Robotic Textile‐Actuated Anthropomorphic Artificial Shoulder Mechanism DOI Creative Commons
Bibhu Sharma, James Davies,

Emanuele Nicotra

et al.

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Replicating the human shoulder in anthropomorphic systems is notoriously challenging due to its complex combination of mobility and strength. This study presents design, fabrication, control a new soft artificial that achieves broad range motion, torque, compliance. Powered by robotic textiles consisting network hydraulic muscles, engineered effectively mimics intricate movements, including flexion/extension, abduction/adduction, medial/lateral rotation. Experiments demonstrate can generate peak torque 9.6 ± 0.1 Nm, covering 65.3% workspace. The capability demonstrated through several experimental testbeds. First, it employed develop gesture‐controlled telemanipulation system, applicable robot‐assisted surgery, hazardous environment operations, gaming, rehabilitation. Second, serves as platform for simulating studying neurological disorders, such Parkinson's disease. approach offers reliable vitro testing ground wearable device validation, providing crucial intermediary step before progressing user studies. marks significant advancement next‐generation systems, closely mimicking musculoskeletal with promising applications assistive devices, haptics, orthopedic testing, medical technologies.

Language: Английский

Citations

0