Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …

Current pain assessment techniques based only on clinical evaluation and self-reports are
not objective and may lead to inadequate treatment. Having a functional biomarker will add …

Near infrared (NIR) light sources play vital roles in bioimaging, medical treatments, food
analysis and machine vision. Herein, we report unusual broadband NIR emission in BaMgAl …

This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …

Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …

The diagnosis of cancer and other diseases using data from non-specific sensors–such as
the electronic tongues (e-tongues)-is challenging owing to the lack of selectivity, in addition …

This paper proposes a convolutional neural network (CNN)-based deep learning model for
predicting the difficulty of extracting a mandibular third molar using a panoramic …

Background: Although many electroencephalographic (EEG) indicators have been
proposed in the literature, it is unclear which of the power bands and various indices are …

Nowadays, many people worldwide suffer from brain disorders, and their health is in danger.
So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and …

Chronic tinnitus is a debilitating condition which affects 10–20% of adults and can severely
impact their quality of life. Currently there is no objective measure of tinnitus that can be …