Soft robotic suits: State of the art, core technologies, and open challenges

M Xiloyannis, R Alicea, AM Georgarakis… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Wearable robots are undergoing a disruptive transition, from the rigid machines that
populated the science-fiction world in the early 1980s to lightweight robotic apparel, hardly …

Summary of over fifty years with brain-computer interfaces—a review

A Kawala-Sterniuk, N Browarska, A Al-Bakri, M Pelc… - Brain Sciences, 2021 - mdpi.com
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Organic electrochemical transistors for in vivo bioelectronics

A Nawaz, Q Liu, WL Leong… - Advanced …, 2021 - Wiley Online Library
Organic electrochemical transistors (OECTs) are presently a focus of intense research and
hold great potential in expanding the horizons of the bioelectronics industry. The notable …

Chronic electrical stimulation of peripheral nerves via deep-red light transduced by an implanted organic photocapacitor

M Silverå Ejneby, M Jakešová, JJ Ferrero… - Nature biomedical …, 2022 - nature.com
Implantable devices for the wireless modulation of neural tissue need to be designed for
reliability, safety and reduced invasiveness. Here we report chronic electrical stimulation of …

Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions

A Fleming, N Stafford, S Huang, X Hu… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Advanced robotic lower limb prostheses are mainly controlled autonomously.
Although the existing control can assist cyclic movements during locomotion of amputee …

Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

F Negro, S Muceli, AM Castronovo… - Journal of neural …, 2016 - iopscience.iop.org
Objective. The study of motor unit behavior has been classically performed by selective
recording systems of muscle electrical activity (EMG signals) and decomposition algorithms …

Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review

A Jaramillo-Yánez, ME Benalcázar… - Sensors, 2020 - mdpi.com
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …

Techniques and methods for testing the postural function in healthy and pathological subjects

T Paillard, F Noé - BioMed research international, 2015 - Wiley Online Library
The different techniques and methods employed as well as the different quantitative and
qualitative variables measured in order to objectify postural control are often chosen without …

Analysis and biophysics of surface EMG for physiotherapists and kinesiologists: Toward a common language with rehabilitation engineers

L McManus, G De Vito, MM Lowery - Frontiers in neurology, 2020 - frontiersin.org
Recent decades have seen a move toward evidence-based medicine to inform the clinical
decision-making process with reproducible findings from high-quality research studies …

[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …