Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …

In the last decades, researchers have shown the potential of using Electrocardiogram (ECG)
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …

Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal
outcomes. Due to constraints in medical care systems, technological solutions should be …

It is increasingly possible to acquire Electrocardiographic data with featured low-cost
devices. The proposed dataset will help map different signals for various diseases related to …

Interpersonal trust mediates multiple socio-technical systems and has implications for
personal and societal well-being. Consequently, it is crucial to devise novel machine …

The functional tests are essential to test the functionality of different types of people, and
specialty for older adults. The primary purpose of this paper is to create a method for the …

The wide-spread use of wearables and the adoption of the Internet of Things (IoT) paradigm
provide an opportunity to use mobile-device sensors for medical applications. Sensors …

Pain is an interruptive stimulus that demands an organism's attention. The use of drugs like
tetrahydrocannabinol (THC) can alter cognitive functioning. This study aimed to investigate …

The use of the big data in conjunction with artificial intelligence methods used in health
areas is increasingly being used. For data capture, smartphones and embedded sensors …

Os recentes avanços tecnológicos e o crescente uso dos dispositivos móveis tem permitido
o surgimento de vários estudos em diferentes áreas da vida humana. Estes dispositivos …