The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …

Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Heart disease is one of the complex diseases and globally many people suffered from this
disease. On time and efficient identification of heart disease plays a key role in healthcare …

In recent years, there has been increasing interest in the development of telediagnosis and
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …

A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases …

Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …

There has been an increased interest in speech pattern analysis applications of
Parkinsonism for building predictive telediagnosis and telemonitoring models. For this …

We develop a statistical machine learning framework to study the effect of eight input
variables (relative compactness, surface area, wall area, roof area, overall height …

An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …

Background Remote, non-invasive and objective tests that can be used to support expert
diagnosis for Parkinson's disease (PD) are lacking. Methods Participants underwent …