Results 201 to 210 of about 629,370 (259)

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Association Between Malnutrition, Low Muscle Mass, Elevated NT-ProBNP Levels, and Mortality in Hemodialysis Patients. [PDF]

Nutrients
Takahashi S, Tanaka T, Suzuki Y, Yoshida N, Hitaka M, Ishii S, Yamazaki K, Masai M, Yamada Y, Ohashi Y.   +9 more
europepmc   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

Bridging Muscle and Bone Health: Rectus Femoris Ultrasound Parameters Predict Osteoporosis and Identify Low Muscle Mass in Romanian Postmenopausal Women. [PDF]

J Clin Med
Soare MM, Gasparik AI, Popoviciu HV, Pascanu IM.   +3 more
europepmc   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes. [PDF]

Lipids Health Dis
Ge J, Sun S, Zeng J, Jing Y, Ma H, Qian C, Cui R, Qu S, Sheng H.   +8 more
europepmc   +1 more source

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

Advanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff, Simon Holzer, Stefania Konstantinidi, Yoan Civet, Yves Perriard   +4 more
wiley   +1 more source

Visceral-to-peripheral adiposity ratio in proneness to sarcopenic obesity: association with low muscle strength, but not low muscle mass, in young women of South Asian descent. [PDF]

Int J Obes (Lond)
Dulloo AG, Ramessur V, Hunma S, Joonas N, Ramessur BN, Schutz Y, Montani JP.   +6 more
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Simple method for estimating low muscle mass in persons with bioelectrical impedance analysis measurement difficulties. [PDF]

J Clin Biochem Nutr
Sasaki H, Yamamura O, Onishi H, Tsubouchi H, Mizukami Y, Kubota M, Ikeda R, Konoshita N, Tanaka T, Kishimoto T, Kobayashi K, Hayashi H, Nishiyama Y.   +12 more
europepmc   +1 more source