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 …

Muscles are the actuators of all human actions, from daily work and life to communication
and expression of emotions. Myography records the signals from muscle activities as an …

In signal processing, multiresolution decomposition techniques allow for the separation of
an acquired signal into sub levels, where the optimal level within the signal minimises …

Prosthetic devices are vital for enhancing personal autonomy and the quality of life for
amputees. However, the rejection rate for electric upper-limb prostheses remains high at …

Prostate cancer is a widespread form of cancer that affects patients globally and is
challenging to diagnose, especially in its early stages. The common means of diagnosing …

Shoulder disarticulation amputees account for a small portion of upper‐limb amputees, thus
little emphasis has been devoted to developing functional prosthesis for this cohort of …

The application of near infrared (NIR) sensing for gesture recognition carries a high appeal
as it presents a haemodynamic monitoring method, which provides an alternative to the …

Schizophrenia is a psychiatric disorder which is prevalent in individuals around the world,
where diagnosis methods for this disorder are done via a combination of interview style …

The use of surface electromyography (sEMG) is rapidly spreading, from robotic prostheses
and muscle computer interfaces to rehabilitation devices controlled by residual muscular …

Background Cervical cancer is a prominent disease in women, with a high mortality rate
worldwide. This cancer continues to be a challenge to concisely diagnose, especially in its …