Extrinsically powered prosthetic hands offer the potential to replicate the capabilities of a
human hand and thus enable an upper limb amputee to complete activities of daily living …

Advances in intelligent robotic systems and brain-machine interfaces (BMI) have helped
restore functionality and independence to individuals living with sensorimotor deficits; …

Prediction of movement intentions from electromyographic (EMG) signals is typically
performed with a pattern recognition approach, wherein a short dataframe of raw EMG is …

Objective. Full restoration of arm function using a prosthesis remains a grand challenge;
however, advances in robotic hardware, surgical interventions, and machine learning are …

Touch-like phantom limb sensations can be elicited through targeted transcutaneous
electrical nerve stimulation (tTENS) in individuals with upper limb amputation. The …

Revolutionizing Prosthetics is a government-sponsored program focused on maturing the
many foundational technologies that comprise neural prosthetic systems. Targeting the …

The ability of robotic systems to effectively address disaster scenarios that are potentially
dangerous for human operators is continuing to grow as a research and development field …

Abstract As Brain-Computer Interface (BCI) systems advance for uses such as robotic arm
control it is postulated that the control paradigms could apply to other scenarios, such as …

Transient muscle movements influence the temporal structure of myoelectric signal patterns,
often leading to unstable prediction behavior from movement-pattern classification methods …

This chapter shall provide a brief introduction to the prostheses and their development in the
current advance technological era. The prosthesis design, control, and architecture …