Toward higher-performance bionic limbs for wider clinical use

D Farina, I Vujaklija, R Brånemark, AMJ Bull… - Nature biomedical …, 2023 - nature.com
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by
the user as belonging to their own body. Robotic limbs can convey information about the …

Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation

N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli… - Sensors, 2019 - mdpi.com
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

Wireless Battery-free and Fully Implantable Organ Interfaces

A Bhatia, J Hanna, T Stuart, KA Kasper… - Chemical …, 2024 - ACS Publications
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-
free power supplies are resulting in a new generation of fully implantable organ interfaces …

Embodied communication: How robots and people communicate through physical interaction

A Kalinowska, PM Pilarski… - Annual review of control …, 2023 - annualreviews.org
Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …

Myoelectric control systems for upper limb wearable robotic exoskeletons and exosuits—A systematic review

J Fu, R Choudhury, SM Hosseini, R Simpson, JH Park - Sensors, 2022 - mdpi.com
In recent years, myoelectric control systems have emerged for upper limb wearable robotic
exoskeletons to provide movement assistance and/or to restore motor functions in people …

Leveraging deep feature learning for wearable sensors based handwritten character recognition

SK Singh, A Chaturvedi - Biomedical Signal Processing and Control, 2023 - Elsevier
Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …

Autonomy in rehabilitation robotics: An intersection

BD Argall - Annual Review of Control, Robotics, and …, 2018 - annualreviews.org
Within the field of human rehabilitation, robotic machines are used both to rehabilitate the
body and to perform functional tasks. Robotics autonomy that would enable perception of …

Machine learning for the control of prosthetic arms: using electromyographic signals for improved performance

AW Shehata, HE Williams, JS Hebert… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for
Improved Performance Page 1 46 IEEE SIGNAL PROCESSING MAGAZINE | July 2021 …

Use of machine learning in the field of prosthetics and orthotics: A systematic narrative review

YJ Choo, MC Chang - Prosthetics and Orthotics International, 2023 - journals.lww.com
Although machine learning is not yet being used in clinical practice within the fields of
prosthetics and orthotics, several studies on the use of prosthetics and orthotics have been …

Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning

G Vasan, PM Pilarski - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Prosthetic arms should restore and extend the capabilities of someone with an amputation.
They should move naturally and be able to perform elegant, coordinated movements that …