In this work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …

Humans learn about the environment by interacting with it. With an increasing use of
computer and virtual applications as well as robotic and prosthetic devices, there is a need …

Background: Occupations characterized by a static low load and by repetitive actions show a
high prevalence of work‐related musculoskeletal disorders (WMSD) in the neck–shoulder …

A key challenge associated with myoelectric prosthesis limbs is the acquisition of a good
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …

Silva J, Heim W, Chau T. A self-contained, mechanomyography-driven externally powered
prosthesis. The measurement of the low-frequency (5–50Hz)“sounds” or vibrations …

The research conducted in the last three decades has collectively demonstrated that the
skeletal muscle performance can be alternatively assessed by mechanomyographic signal …

Mechanomyography (MMG) is the muscle surface oscillations that are generated by the
dimensional change of the contracting muscle fibers. Because MMG reflects the number of …

To understand better the features of the mechanomyogram (MMG) with different force levels
and muscle architectures, the MMG signals detected at many points along three muscles …

We have previously proposed the use of" muscle sounds" or mechanomyography (MMG) as
a reliable alternative measure of muscle activity with the main objective of facilitating the use …

This paper describes a highly sensitive microelectromechanical systems (MEMS)
accelerometer sensor module to measure micro muscle sounds. Regarding the drift …