Recent neuroscience discoveries on human hand synergies have inspired the development of underactuated robotic hands, which replicate human-like grasping capabilities using a minimal number of actuators. However, a generalized methodology for determi...
Biomedical physics & engineering express
Oct 3, 2025
This paper proposes a novel gesture prediction method for accurately predicting hand gesture types from raw sEMG signals in real time. First, we utilize a linear combination of the mean and standard deviation of sEMG signals within a sliding window t...
Osteoporosis is a prevalent metabolic bone disease that frequently remains undiagnosed due to limited access to bone mineral density (BMD) tests, such as Dual-energy X-ray absorptiometry (DXA). To address this issue, recent research explores alternat...
Social impact assessment has gained increasing attention in recent years, emphasizing the added value and social changes brought by project activities alongside the sustainability of social actions. This study evaluates the economic and social impact...
The dexterity of the human hand is largely due to its multiple degrees of freedom. However, coordinating the movements of the ring and little fingers independently can be challenging because of the biomechanical and neurological interdependencies bet...
OBJECTIVE: This study aimed to compare the long-term effects of soft robotic gloves (SRGs) and mirror therapy on hand function and motor recovery in post-stroke patients.
The American journal of sports medicine
Aug 15, 2025
BACKGROUND: Surgeons treating skeletally immature patients use skeletal age to determine appropriate surgical strategies. Traditional bone age estimation methods utilizing hand radiographs are time-consuming.
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...
Gesture recognition based on surface electromyography (sEMG) plays a crucial role in human-computer interaction. By analyzing sEMG signals generated from residual forearm muscle activity in trans-radial amputees, it is possible to predict their hand ...
Journal of neuroengineering and rehabilitation
Jul 5, 2025
BACKGROUND: Hand dysfunction significantly affects independence after stroke, with outcomes varying across individuals. Exploring biomarkers associated with the paretic hand can improve the prognosis and guide personalized rehabilitation. However, wh...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.